ICIAP2019
20th International Conference on
IMAGE ANALYSIS AND PROCESSING
Trento, 9-13 September, 2019
ICIAP 2019 is the 20th edition of a series of conferences organized biennially by the Italian Member Society (CVPL, ex GIRPR) of the International Association for Pattern Recognition (IAPR).
The focus of the conference is on both classic and recent trends in computer vision, pattern recognition and image processing, and covers both theoretical and applicative aspects, with particular emphasis on the following topics:
Video Analysis & Understanding, Pattern Recognition and Machine Learning, Deep Learning, Multiview Geometry and 3D Computer Vision, Image Analysis, Detection and Recognition, Multimedia, Biomedical and Assistive Technology, Digital Forensics, Image Processing for Cultural Heritage.
Springer Proceedings are now available from the URLs below. Access will be free for all registered conference participants for the period September 7 to October 7, 2019.
- Image Analysis and Processing – ICIAP 2019 (Part I) (LNCS 11751)
- Image Analysis and Processing – ICIAP 2019 (Part II) (LNCS 11752)
Workshop proceedings are available from the URL below:
Important Dates
Workshop and Tutorial
September 9th — 10th, 2019
Main Conference
September 11th — 13th, 2019
Full paper submission
The deadline has been postponed to May 6th, 2019
Full paper evaluation notification
June 24th, 2019
Camera ready submission
July 12th, 2019
Program Summary
Monday, September 9
09:00 – 11:00 Workshop W1 + Tutorials T1 and T2
11:00 – 11:30 Coffee break
11:30 – 13:00 Workshop W1 + Tutorials T3 and T4
13:00 – 14:30 Lunch break
14:30 – 16:30 Workshop W1 + Tutorial T5
16:30 – 17:00 Coffee break
17:00 – 19:00 Workshop W1
Tuesday, September 10
09:00 – 11:00 Workshop W2 and W3 + Industrial Session
11:00 – 11:30 Coffee break
11:30 – 13:00 Workshop W2 and W3 + Industrial Session
13:00 – 14:30 Lunch break
14:30 – 16:30 Workshop W4 + Tutorial T6 + Industrial Session
16:30 – 17:00 Coffee break
17:00 – 19:00 Workshop W4
20:00 – 22:30 Welcome Reception at Buonconsiglio Castle
Wednesday, September 11
08:45 – 09:00 Welcome
09:00 – 10:00 Invited Talk 1: Davide Scaramuzza
10:00 – 11:00 Oral 1
11:00 – 11:30 Poster 1 + Coffee break
11:30 – 13:00 Poster 1
13:00 – 14:30 Lunch break
14:30 – 15:30 Oral 2 - Image Analysis, Detection and Recognition
15:30 – 16:00 Spotlight 1
16:00 – 16:30 DAFNE Challenge Session
16:30 – 17:00 Poster 2 + Coffee break
17:00 – 18:30 Poster 2
Thursday, September 12
09:00 – 10:00 Invited Talk 2: Ayellet Tal
10:00 – 11:00 Oral 3 - Deep Learning
11:00 – 11:30 Coffee break
11:30 – 12:30 Oral 4 - Brave New Ideas
12:30 – 13:00 Spotlight 2
13:00 – 14:30 Lunch break
14:30 – 16:30 Poster 3
16:30 – 17:00 Coffee Break
17:00 – 19:00 CVPL Meeting
20:00 – 22:30 Conference Banquet at Villa Bortolazzi (Villa Bortolazzi is located in Mattarello, a small village at 20 minutes of distance from the Conference venue. A bus service will bring the conference participants to the banquet venue and back to the conference venue. The first bus to Villa Bortolazzi will leave from Via Torre Vanga, 28 at 19:30, the second one at 19:45.)
Friday, September 13
09:00 – 09:45 Invited Talk 3: Emanuele Rodolà
09:45 – 10:30 Invited Talk 4: Alessandra Sciutti
10:30 – 11:00 CVPL Highlights 1
11:00 – 11:30 Coffee break
11:30 – 12:00 CVPL Highlights 2
12:00 – 13:00 Oral 5 - Applications
13:00 – 14:30 Lunch break
14:30 – 16:30 Poster 4
Invited Talks
Invited Talk 1: Davide Scaramuzza
Autonomous, Agile, Vision-controlled Drones: from Frame to Event Vision
When:Wednesday, September 11, 09:00 - 10:00
Where: Sala 1
Abstract: Autonomous quadrotors will soon play a major role in search-and-rescue and remote-inspection missions, where a fast response is crucial. Quadrotors have the potential to navigate quickly through unstructured environments, enter and exit buildings through narrow gaps, and fly through collapsed buildings. However, their speed and maneuverability are still far from those of birds. Indeed, agile navigation through unknown, indoor environments poses a number of challenges for robotics research in terms of perception, state estimation, planning, and control. In this talk, I will show that active vision is crucial in order to plan trajectories that improve the quality of perception. Also, I will talk about our recent results on event based vision to enable low latency sensory motor control and navigation in low light and high dynamic environment, where traditional vision sensor fail.
Bio: Davide Scaramuzza (born in 1980, Italian) is Professor of Robotics and Perception at both departments of Informatics (University of Zurich) and Neuroinformatics (ETH Zurich and University of Zurich), where he does research at the intersection of robotics and computer vision. He did his PhD in robotics and computer vision at ETH Zurich and a postdoc at the University of Pennsylvania. From 2009 to 2012, he led the European project sFly, which introduced the PX4 autopilot (used in half a million commercial drones today) and pioneered vision-based autonomous navigation of micro drones. For his research contributions, he was awarded the prestigious IEEE Robotics and Automation Early Career Award, the SNSF-ERC Starting Grant, a Google, Qualcomm, and INTEL awards, and several paper awards. He coauthored the book "Introduction to Autonomous Mobile Robots" (published by MIT Press; 10,000 copies sold) and more than 100 papers on robotics and perception. He has served as a consultant for the United Nations (UN) International Atomic Energy Agency (IAEA) Fukushima Action Plan on Nuclear Safety, and several drone and computer-vision companies. In 2015, he cofounded Zurich-Eye, which later became Facebook-Oculus Zurich.
Many aspects of his research have been prominently featured in the popular press, such as Discovery Channel, BBC, The New York Times, IEEE Spectrum, MIT Technology Review Magazine.
Invited Talk 2: Ayellet Tal
Past Forward: When Computer Vision and Archaeology Meet
When: Thursday, September 12 , 09:00 - 10:00
Where: Sala 1
Abstract: Technology is the symbol of our age. Nevertheless, some fields have been left out of the revolution. One of these is archaeology, where many tasks are still performed manually - from the initial excavation, through documentation, to restoration. It turns out that some of these activities are classical computer vision tasks, such as puzzle solving, shape completion, matching and edge detection. The objects, however, are much harder to deal with than usual, since they are broken and eroded after laying underground for thousands of years. Therefore, being able to handle these objects benefits not only archaeology, but also computer vision. In this talk I will describe some of the algorithms we have developed to replace manual restoration.
Bio: Ayellet Tal is a professor in the Department of Electrical Engineering and heads the Computer Graphics and Multimedia Lab at the Technion, Israel. She holds a Ph.D. in Computer Science from Princeton University and a B.Sc degree (Summa cum Laude) in Mathematics and Computer Science from Tel-Aviv University. Her research interests span computer graphics, computer vision and information visualization. She regularly serves as an area chair and as a member of program committees of the major international conferences and as an associate editor of journals.
Invited Talk 3: Emanuele Rodolà
Hearing the shape of things
When:Friday, September 13, 09:00 - 09:45
Where: Sala 1
Abstract: Spectral geometry is at the heart of a variety of problems in computer vision, graphics, pattern recognition and machine learning. Ultimately, the core reason for its success can be traced down to questions of stability and informativeness of the eigenvectors and eigenvalues of certain operators. In this talk, I will discuss and show tangible examples of such properties, and showcase some dramatic implications on a selection of notoriously hard problems in computer vision and graphics. First, I will address the question whether one can recover the shape of a geometric object from its vibration frequencies (‘hear the shape of the drum’); while theoretically the answer to this question is negative, little is known about the practical possibility of using the spectrum for shape reconstruction and optimization. I will introduce a numerical procedure called isospectralization, showing how this *practical* problem is solvable. Then, I will discuss the widespread problem of data corruption and partiality, and demonstrate how knowledge of the behavior of the spectral decomposition of Laplacians can lead to unprecedented results as exemplified on partial dense correspondence of deformable 3D shapes. I will conclude my talk with an overview of current and future work in these areas, with a look at potential applications in computational biology, computer-assisted medical diagnosis, and deep learning.
Bio: Emanuele Rodolà is a tenured professor of computer science at Sapienza University of Rome, where he leads the Geometric and Visual Computing group funded by an ERC Starting Grant (2018-). Previously, he held positions at USI Lugano, TU Munich, and the University of Tokyo under various fellowships. He holds or has held visiting positions at Tel Aviv University, Technion, Ecole polytechnique, Harvard, and Stanford. He received best paper awards at 3DPVT 2010, VMV 2015, and SGP 2016, has been serving since 2010 in the program committees of CVPR, ICCV, ECCV, etc., has been serving as Area Chair at 3DV since 2016, founded and chaired several successful workshops including the IEEE workshop on Geometry Meets Deep Learning, organized multiple SHREC contests, and was recognized 8 times as IEEE Outstanding Reviewer. He gave tutorials and short courses in multiple occasions at ECCV, EUROGRAPHICS, SGP, SIGGRAPH, and SIGGRAPH Asia. His work on 3D reconstruction was featured by the national Italian television (RAI) in 2012. His research focuses on spectral geometry processing, 3D computer vision and geometric deep learning, and has published more than 60 papers in these areas.
Invited Talk 4: Alessandra Sciutti
Cognitive Vision for Human Robot Interaction
When:Friday, September 13, 09:45 - 10:30
Where:Sala 1
Abstract: Society is expecting robots to enter our houses and factories tomorrow, with the aim of cooperating with us. For this goal to be achievable, it is necessary that these agents become primarily cognitive systems, endowed with a cognitive architecture that enables them to adapt, predict, and pro-actively interact with the environment and the human partners. In this framework, vision needs to be cognitive: purposive, adaptive and anticipatory. Furthermore an artificial cognitive visual system which aims at existing and thriving in a human society needs the ability to communicate.
Human communication is based on mutual understanding: I know how to communicate because I entertain a model of you, which enables me to select an effective way to convey to you what I want and to have an intuition of your internal states – what you need, fear or desire. Such intuition guides my vision, enabling me to perceive properties that would be otherwise not accessible to my perception, as goals, emotions or effort.
Our contribution to the roadmap toward cognitive vision systems leverages on the use of a humanoid robot (iCub) to try and test some of our assumptions on how to build a cognitive interactive agent. We attempt at modeling the minimal skills necessary for cognitive development, focusing on the visual features that enable to recognize the presence of other agents in the scene, to allow action matching across different visual perspectives and to foster automatic speed adaptation in human-robot interactive repetitive tasks. We investigate how a robot could leverage on visual signals to anticipate the partner’s goals for collaborative or competitive purposes, to infer the right moment to interact and to assess the emotional reactions of the partners.
In a dual approach we are trying to understand how to modulate robot behavior to elicit better human understanding and to express different characteristics of the interaction: from the mood to the level of commitment. This approach is propaedeutic to the creation of a cognitive vision system, by helping in the definition of what is relevant to attend to, starting from signals originating from the intrinsic characteristics of the human body.
We believe that only a structured effort toward cognitive vision – or better visually-enabled cognition – will in the future allow for more humane machines, able to see the world and people as we do and engage with them in a meaningful manner.
Bio: Alessandra received her Ph.D. in Humanoid Technologies from the University of Genoa (Italy) in 2010. After a Post Doc at theIstituto Italiano di Tecnologia (IIT) and two research periods in USA and Japan, she became the scientific responsible of the Cognitive Robotics and Interaction Laboratory of the RBCS Dept. at IIT. After being Assistant Professor in Bioengineering at DIBRIS University of Genoa, she is now Tenure-Track Researcher at theIstituto Italiano di Tecnologia, head of the COgNiTive Architecture for Collaborative Technologies (CONTACT) unit. In 2018 she has been awarded the ERC Starting Grant wHiSPER, focused on the investigation of joint perception between humans and robots. She published more than 60 papers and abstracts and participated in the coordination of the CODEFROR European IRSES project. She is an Associate Editor of Robots and Autonomous Systems, Cognitive Systems Research and the International Journal of Humanoid Robotics and she has served as a member of the Program Committee for the International Conference on Human-Agent Interaction and IEEE International conference on Development and Learning and Epigenetic Robotics. The scientific aim of her research is to investigate the sensory and motor mechanisms underlying mutual understanding in human-human and human-robot interaction.
Main Conference
Wednesday morning · September 11, 2019
Oral 1 · 10:00 – 11:00
| Drone Patrolling with Reinforcement Learning | Claudio Piciarelli, Gian Luca Foresti |
| Automatic Generation of Waypoint Graphs from Distributed Ceiling-Mounted Smart Cameras for Decentralized Multi-Robot Indoor Navigation | Christophe Bobda, Andrew Felder, Dillon VanBuskirk |
| RE-OBJ: Jointly Learning the Foreground and Background for Object Instance Re-Identification | Vaibhav Bansal, Stuart James, Alessio Del Bue |
| Open Set Recognition for Unique Person Counting via Virtual Gates | Francesco Turchini, Matteo Bruni, Claudio Baecchi, Tiberio Uricchio, Alberto Del Bimbo |
Poster 1 · 11:00 – 13:00
| 1 | Artpedia: A New Visual-Semantic Dataset with Visual and Contextual Sentences in the Artistic Domain | Matteo Stefanini, Marcella Cornia, Lorenzo Baraldi, Massimiliano Corsini, Rita Cucchiara |
| 2 | An Efficient Approximate kNN Graph Method for Diffusion on Image Retrieval | Federico Magliani, Kevin McGuinness, Eva Mohedano, Andrea Prati |
| 3 | Label Propagation Guided by Hierarchy of Partitions for Superpixel Computation | Carolina Jeronimo, Jean Cousty, Benjamin Perret, Zenilton Patrocinio Jr, Silvio Guimaraes |
| 4 | Manual Annotations on Depth Maps for Human Pose Estimation | Andrea D'Eusanio, Stefano Pini, Guido Borghi, Roberto Vezzani, Rita Cucchiara |
| 5 | Disparity Image Analysis for 3D Characterization of Surface Anomalies | R. Marani, A. Petitti, M. Attolico, G. Cicirelli, A. Mirella, Tiziana D'Orazio |
| 6 | Lightweight Deep Learning Pipeline for Detection, Segmentation and Classification of Breast Cancer Anomalies | Hugo S. Oliveira |
| 7 | Geometry-based Skin Colour Estimation for Bare Torso Surface Reconstruction | Joao Pedro Monteiro, Hooshiar Zolfagharnasab, Helder Pinto de Oliveira |
| 8 | A Single-Resolution Fully Convolutional Network for Retinal Vessel Segmentation in Raw Fundus Images | Ricardo J. Araujo |
| 9 | Low-Complexity Scene Understanding Network | Livia A. Iordache, Vlad Paunescu, Andrei S. Leica, ByeongMoon Jeon, Wonjun Kang, Joonhyung Kwon |
| 10 | Image Anomaly Detection with Capsule Networks and Imbalanced Datasets | Claudio Piciarelli, Pankaj Mishra, Gian Luca Foresti |
| 11 | Improving Facial Emotion Recognition Systems with Crucial Feature Extractors | Ram K. Pandey, Souvik Karmakar, Ramakrishnan A. G., Nabagata Saha |
| 12 | A Region Proposal Approach for Cells Detection and Counting from Microscopic Blood Images | Andrea Loddo, Cecilia Di Ruberto, Lorenzo Putzu |
| 13 | Personalized Expression Synthesis Using A Hybrid Geometric-Machine Learning Method | Sarra Zaied, Catherine Soladie, Pierre-Yves Richard |
| 14 | Easing Function as a Tool of Color Correction for Display Stitching in Virtual Reality | Dariusz Sawicki, Agnieszka Wolska, Mariusz Wiselka, Szymon Ordysinski |
| 15 | Towards Multiple Sources Semantic Segmentation | Paolo Russo, Tatiana Tommasi, Barbara Caputo |
| 16 | On Image Enhancement for Unsupervised Image Description and Matching | Michela Lecca, Alessandro Torresani, Fabio Remondino |
| 17 | A Novel Anomaly Score for Isolation Forests | Antonella Mensi, Manuele Bicego |
| 18 | Learning Pedestrian Detection from VirtualWorlds | Giuseppe Amato, Luca Ciampi, Fabrizio Falchi, Claudio Gennaro, Nicola Messina |
| 19 | Sentiment Analysis from Images of Natural Disasters | Kashif Ahmad, Zohaib Hassan, Nicola Conci, Ala Al-Fuqaha |
| 20 | Adaptive Hybrid Representation for Graph-Based Semi-supervised Classification | Fadi Dornaika, Alireza Bosaghzadeh |
| 21 | Real-time Neurodegenerative Disease Video Classification with Severity Prediction | Vincenzo Dentamaro, Donato Impedovo, Giuseppe Pirlo |
| 22 | Gesture Recognition by Leap Motion Controller and LSTM Networks for CAD-oriented Interfaces | Lisa Mazzini, Annalisa Franco, Davide Maltoni |
| 23 | VEDI: Vision Exploitation for Data Interpretation | Giovanni Maria Farinella, Giovanni Signorello, Sebastiano Battiato, Antonino Furnari, Francesco Ragusa, Rosario Leonardi, Emanuele Ragusa, Emanuele Scuderi, Antonino Lopes, Luciano Santo, Marina Samarotto |
| 24 | Thick Line Segment Detection with Fast Directional Tracking | Philippe Even, Hoai Ngo, Bertrand Kerautret |
| 25 | SWIR Camera-Based Localization and Mapping in Challenging Environments | Viachaslau Kachurka, David Roussel, Hicham Hadj-Abdelkader, Fabien Bonardi, Jean-Yves Didier, Samia Bouchafa |
Wednesday afternoon · September 11, 2019
Oral 2 · Image Analysis, Detection and Recognition · 14:30 – 15:30
| Relation, Transition and Comparison between the Adaptive Nearest Neighbor Rule and the Hypersphere Classifier | Mauricio Orozco-Alzate, Sisto Baldo, Manuele Bicego |
| Texture Retrieval in the Wild through Detection-based Attributes | Christian Joppi, Marco Godi, Andrea Giachetti, Fabio Pellacini, Marco Cristani |
| Autocropping: A Closer Look at Benchmark Datasets | Luigi Celona, Gianluigi Ciocca, Paolo Napoletano, Raimondo Schettini |
| Domain Adaptation for Privacy-preserving Person Detection in Thermal Imagery | My Kieu, Andy Bagdanov, Marco Bertini, Alberto Del Bimbo |
Spotlight 1 · 15:30 – 16:00
| Hand Detection using Zoomed Neural Networks | Sergio R. Cruz, Antoni Chan |
| Wafer Defect Map Classification Using Sparse Convolutional Networks | Roberto Di Bella, Diego Carrera, Beatrice Rossi, Pasqualina Fragneto, Giacomo Boracchi |
| Video-Based Convolutional Attention for Person Re-Identification | Marco Zamprogno, Marco Passon, Niki Martinel, Giuseppe Serra, Giuseppe Lancioni, Christian Micheloni, Carlo Tasso, Gian Luca Foresti |
| GADA: Generative Adversarial Data Augmentation for Image Quality Assessment | Pietro Bongini, Riccardo Del Chiaro, Andy Bagdanov, Alberto Del Bimbo |
| Variational Autoencoder inspired by Brain's Convergence-Divergence Zones for Autonomous Driving Application | Alice Plebe, Mauro Da Lio |
| Learning an Optimisable Semantic Segmentation Map with Image Conditioned Variational Autoencoder | Pengcheng Zhuang, Yusuke Sekikawa, Hideo Saito |
| 3D Shape Segmentation with Geometric Deep Learning | Davide Boscaini, Fabio Poiesi |
| 3TP-CNN: Radiomics and Deep Learning for Lesions Classification in DCE-MRI | Michela Gravina, Stefano Marrone, Gabriele Piantadosi, Mario Sansone, Carlo Sansone |
| Deep Compact Person Re-Identification with Distractor Synthesis via Guided DC-GANs | Victor Ponce-Lopez, Tilo Burghardt, Yue Sun, Sion Hannuna, Dima Damen, Majid Mirmehdi |
Poster 2 · 16:30 – 18:30
| 1 | Hand Detection using Zoomed Neural Networks | Sergio R. Cruz, Antoni Chan |
| 2 | Wafer Defect Map Classification Using Sparse Convolutional Networks | Roberto Di Bella, Diego Carrera, Beatrice Rossi, Pasqualina Fragneto, Giacomo Boracchi |
| 3 | Video-Based Convolutional Attention for Person Re-Identification | Marco Zamprogno, Marco Passon, Niki Martinel, Giuseppe Serra, Giuseppe Lancioni, Christian Micheloni, Carlo Tasso, Gian Luca Foresti |
| 4 | GADA: Generative Adversarial Data Augmentation for Image Quality Assessment | Pietro Bongini, Riccardo Del Chiaro, Andy Bagdanov, Alberto Del Bimbo |
| 5 | Variational Autoencoder inspired by Brain's Convergence-Divergence Zones for Autonomous Driving Application | Alice Plebe, Mauro Da Lio |
| 6 | Learning an Optimisable Semantic Segmentation Map with Image Conditioned Variational Autoencoder | Pengcheng Zhuang, Yusuke Sekikawa, Hideo Saito |
| 7 | 3D Shape Segmentation with Geometric Deep Learning | Davide Boscaini, Fabio Poiesi |
| 8 | 3TP-CNN: Radiomics and Deep Learning for Lesions Classification in DCE-MRI | Michela Gravina, Stefano Marrone, Gabriele Piantadosi, Mario Sansone, Carlo Sansone |
| 9 | Deep Compact Person Re-Identification with Distractor Synthesis via Guided DC-GANs | Victor Ponce-Lopez, Tilo Burghardt, Yue Sun, Sion Hannuna, Dima Damen, Majid Mirmehdi |
| 10 | A Gradient-based Spatial Color Algorithm for Image Contrast Enhacement | Michela Lecca |
| 11 | Video synthesis from Intensity and Event Frames | Stefano Pini, Guido Borghi, Roberto Vezzani, Rita Cucchiara |
| 12 | Active Two Phase Collaborative Representation Classifier for Image Categorization | Fadi Dornaika, Youssof El Traboulsi, Yassine Ruichek |
| 13 | Blind Image Quality Assessment based on the use of Saliency Maps and a Multivariate Gaussian Distribution | Christophe Charrier, Hakim Saadane, Christine Fernandez-Maloigne |
| 14 | A Graph-based Color Lines Model for Image Analysis | David Arturo Duque-Arias, Santiago Velasco-Forero, Jean-Emmanuel Deschaud, Francois Goulette, Beatriz Marcotegui |
| 15 | Take a Ramble into Solution Spaces for Classification Problems in Neural Networks | Enzo Tartaglione, Marco Grangetto |
| 16 | Evaluating Deep Convolutional Neural Networks as Texture Feature Extractors | Leonardo Scabini, Rayner Condori, Lucas C. Ribas, Odemir Bruno |
| 17 | Unsupervised Domain Adaptation using Full-Feature Whitening and Colouring | Subhankar Roy, Aliaksandr Siarohin, Nicu Sebe |
| 18 | Frame Interpolation using Phase Information and Guided Image Filtering | Fahim Arif, Sundus Amin, Abdul Ghafoor, Mohsin Riaz |
| 19 | Generalised Gradient Vector Flow for Content-aware Image Resizing | Tiziana Rotondo, Alessandro Ortis, Sebastiano Battiato |
| 20 | Learning to Rank Food Images | Dario Allegra, Daniela Erba, Giovanni Maria Farinella, Giovanni Grazioso, Paolo Maci, Filippo Stanco, Valeria Tomaselli |
| 21 | Supervised Two-Stage-TL on Imbalanced Dataset for Sport Classification | Tianyu Bi, Dmitri Jarnikov, Johan Lukkien |
| 22 | A Block-Based Union-Find Algorithm to Label Connected Components on GPUs | Stefano Allegretti, Federico Bolelli, Michele Cancilla, Costantino Grana |
| 23 | A New Descriptor for Keypoint-Based Background Modeling | Danilo Avola, Marco Bernardi, Marco Cascio, Luigi Cinque, Gian Luca Foresti, Cristiano C. Massaroni |
| 24 | Preliminary Experiment of the Interactive Registration of a Trocar for Thoracoscopy with Hololens Headset | Christophe Lohou |
| 25 | A Low-cost Computer Vision System for Real-time Tennis Analysis | Stefano Messelodi, Carla Maria Modena, Valerio Ropele, Stefano Marcon, Mario Sgro |
Thursday morning · September 12, 2019
Oral 3 · Deep Learning · 10:00 – 11:00
| Tackling Partial Domain Adaptation with Self-Supervision | Silvia Bucci, Antonio D'Innocente, Tatiana Tommasi |
| Hebbian Learning Meets Deep Learning | Giuseppe Amato, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Gabriele Lagani |
| Regularized Evolutionary Algorithm for Dynamic Neural Topology Search | Cristiano Saltori, Subhankar Roy, Nicu Sebe, Giovanni Iacca |
| MetalGAN: a Cluster-based Adaptive Training for Few-Shot Adversarial Colorization | Tomaso Fontanini, Eleonora Iotti, Andrea Prati |
Oral 4 · Brave New Ideas · 11:30 – 12:30
| Ontology-Driven Food Category Classification in Images | Ivan Donadello, Mauro Dragoni |
| Image-to-Image Translation to Unfold the Reality of Artworks: an Empirical Analysis | Latteo Tomei, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara |
| Image Memorability using Diverse Visual Features and Soft Attention | Marco Leonardi, Luigi Celona, Paolo Napoletano, Simone Bianco, Raimondo Schettini, Franco Manessi, Alessandro Rozza |
Spotlight 2 · 12:30 – 13:00
| Problems with Saliency Maps | Giuseppe Boccignone, Vittorio Cuculo, Alessandro D'Amelio |
| Prediction of Social Image Popularity Dynamics | Alessandro Ortis, Giovanni Maria Farinella, Sebastiano Battiato |
| Improving the Performance of Thinning Algorithms with Directed Rooted Acyclic Graphs | Federico Bolelli, Costantino Grana |
| 3DMM for Accurate Reconstruction of Depth Data | Claudio Ferrari, Stefano Berretti, Pietro Pala, Alberto Del Bimbo |
| Mask Guided Fusion For Group Activity Recognition In Images | Arif Akar, Nazli Ikizler-Cinbis |
| Recognition of Human Activities in Daubechies Complex Wavelet Domain | Manish Khare |
| ActiVis: Mobile Object Detection and Active Guidance for People with Visual Impairments | Jacobus C. Lock, Nicola Bellotto, Andrea Tramontano, Stefano Ghidoni |
| Vehicle Trajectories from Unlabeled Data through Iterative Plane Registration | Federico Becattini, Lorenzo Seidenari, Lorenzo Berlincioni, Leonardo Galteri, Alberto Del Bimbo |
| Dimensionality Reduction using Discriminative Autoencoders for Remote Sensing Image Retrieval | Mohbat Tharani, Tooba Mukhtar, Numan Khurshid, Murtaza Taj |
Thursday afternoon · September 12, 2019
Poster 3 · 14:30 – 16:30
| 1 | Problems with Saliency Maps | Giuseppe Boccignone, Vittorio Cuculo, Alessandro D'Amelio |
| 2 | Prediction of Social Image Popularity Dynamics | Alessandro Ortis, Giovanni Maria Farinella, Sebastiano Battiato |
| 3 | Improving the Performance of Thinning Algorithms with Directed Rooted Acyclic Graphs | Federico Bolelli, Costantino Grana |
| 4 | 3DMM for Accurate Reconstruction of Depth Data | Claudio Ferrari, Stefano Berretti, Pietro Pala, Alberto Del Bimbo |
| 5 | Mask Guided Fusion For Group Activity Recognition In Images | Arif Akar, Nazli Ikizler-Cinbis |
| 6 | Recognition of Human Activities in Daubechies Complex Wavelet Domain | Manish Khare |
| 7 | ActiVis: Mobile Object Detection and Active Guidance for People with Visual Impairments | Jacobus C. Lock, Nicola Bellotto, Andrea Tramontano, Stefano Ghidoni |
| 8 | Vehicle Trajectories from Unlabeled Data through Iterative Plane Registration | Federico Becattini, Lorenzo Seidenari, Lorenzo Berlincioni, Leonardo Galteri, Alberto Del Bimbo |
| 9 | Dimensionality Reduction using Discriminative Autoencoders for Remote Sensing Image Retrieval | Mohbat Tharani, Tooba Mukhtar, Numan Khurshid, Murtaza Taj |
| 10 | View-invariant Pose Analysis for Human Movement Assessment from RGB Data | Faegheh Sardari, Adeline Paiement, Majid Mirmehdi |
| 11 | Hyperspectral Image Classification via Convolutional Neural Network based on Dilation Layers | Rami Reddy Devaram, Dario Allegra, Giovanni Gallo, Filippo Stanco |
| 12 | A Saliency-based Convolutional Neural Network for Table and Chart Detection in Digitized Documents | Isaak Kavasidis, Carmelo Pino, Francesco Rundo, Daniela Giordano, Paolo Messina, Concetto Spampinato |
| 13 | Training Efficient Semantic Segmentation CNNs on Multiple Datasets | Marco Leonardi, Davide Mazzini, Raimondo Schettini |
| 14 | Estimation of Speed and Distance of Surrounding Vehicles from a Single Camera | Mirko Zaffaroni, Marco Grangetto, Alessandro Farasin |
| 15 | Combining Saliency Estimation Methods | Marco Buzzelli, Simone Bianco, Gianluigi Ciocca |
| 16 | Analysis of Dynamic Brain Connectivity Through Geodesic Clustering | Muhammad Aabubakar Yamin, Michael Dayan, Letizia Squarcina, Paolo Brambilla, Vittorio Murino, Vaibhav Diwadkar, Diego Sona |
| 17 | A Decision Tree for Automatic Diagnosis of Parkinson's Disease from Offline Drawing Samples: Experiments and Findings | Antonio Parziale, Antonio Della Cioppa, Rosa Senatore, Angelo Marcelli |
| 18 | The Impact of Padding on Image Classification by Using Pre-trained Convolutional Neural Networks | Hongxiang Tang, Alessandro Ortis, Sebastiano Battiato |
| 19 | Automatic Framework for Multiple Sclerosis Follow-up by Magnetic Resonance Imaging for Reducing Contrast Agents | Giuseppe Placidi, Luigi Cinque, Matteo Polsinelli, Alessandra Splendiani, Emanuele Tommasino |
| 20 | Emotional State Recognition with Micro-Expressions and Pulse Rate Variability | Reda Belaiche, Rita Meziati Sabour, Cyrille Migniot, Yannick Benezeth, Dominique Ginhac, Keisuke Nakamura, Randy Gomez, Fan Yang |
| 21 | Discovering Latent Domains for Unsupervised Domain Adaptation through Consistency | Massimiliano Mancini, Lorenzo Porzi, Fabio Cermelli, Barbara Caputo |
| 22 | Deep Motion Model for Pedestrian Tracking in 360 Degrees Videos | Liliana Lo Presti, Marco La Cascia |
| 23 | Single Image Super-Resolution for Optical Satellite Scenes using Deep Deconvolutional Network | Sumedh D. Pendurkar, Biplab Banerjee, Sudipan Saha, Francesca Bovolo |
| 24 | Genuine Personality Recognition from Highly Constrained Face Images | Fabio Anselmi, Nicoletta Noceti, Lorenzo Rosasco, Robert Ward |
| 25 | Automatic Segmentation based on Deep Learning Techniques for Diabetic Foot Monitoring through Multimodal Images | Abian Hernandez, Natalia Arteaga-Marrero, Enrique Villa, Himar Fabelo, Gustavo M. Callico, Juan Ruiz-Alzola |
| 26 | On Generative Modeling of Cell Shape Using 3D GANs | David Wiesner, Tereza Necasova, David Svoboda |
| 27 | Particle Filtering for Tracking in 360 degrees Videos using virtual PTZ Cameras | Vito Monteleone, Liliana Lo Presti, Marco La Cascia |
| 28 | Feature-Based SLAM Algorithm for Small-Scale UAVs with Nadir View | Danilo Avola, Luigi Cinque, Alessio Fagioli, Gian Luca Foresti, Cristiano C. Massaroni, Daniele Pannone |
Friday · September 13, 2019
Oral 5 · Applications · 12:00 – 13:00
| Performance Evaluation of Learned 3D Features | Riccardo Spezialetti, Samuele Salti, Luigi Di Stefano |
| A Convolutional Neural Network for Virtual Screening of Molecular Fingerprints | Isabella Mendolia, Salvatore Contino, Ugo Perricone, Roberto Pirrone, Edoardo Ardizzone |
| Detecting Sounds of Interest in Roads with Deep Networks | Pasquale Foggia, Alessia Saggese, Nicola Strisciuglio, Mario Vento, Vincenzo Vigilante |
| On the Detection of GAN-based Face Morphs using Established Morph Detectors | Luca Debiasi, Naser Damer, Alexandra Mosegui Saladie, Christian Rathgeb, Ulrich Scherhag, Christoph Busch, Florian Kirchbuchner, Andreas Uhl |
Poster 4 · 14:30 – 16:30
| 1 | Hand Gestures for the Human-Car Interaction: the Briareo Dataset | Fabio Manganaro, Stefano Pini, Guido Borghi, Roberto Vezzani, Rita Cucchiara |
| 2 | Evaluation of Continuous Image Features Learned by ODE Nets | Fabio Carrara, Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro |
| 3 | The Effects of Data Sources: a Baseline Evaluation of the MoCA Dataset | Elena Nicora, Gaurvi Goyal, Nicoletta Noceti, Francesca Odone |
| 4 | Comparisons of Visual Activity Primitives for Voice Activity Detection | Muhammad Shahid, Cigdem Beyan, Vittorio Murino |
| 5 | An UAV Autonomous Warehouse Inventorying by Deep Learning | Antonio De Falco, Fabio Narducci, Alfredo Petrosino |
| 6 | Weakly Supervised Semantic Segmentation Using Constrained Dominant Sets | Sinem Aslan, Marcello Pelillo |
| 7 | 1-D DCT Domain Analysis for JPEG Double Compression Detection | Oliver Giudice, Francesco Guarnera, Antonino Paratore, Sebastiano Battiato |
| 8 | Contrastive Explanations to Classification Systems Using Sparse Dictionaries | Andrea Apicella, Francesco Isgro, Roberto Prevete, Gugliemo Tamburruni |
| 9 | Segmentation of Pigment Signs in Fundus Images for Retinitis Pigmentosa Analysis by using Deep Learning | Daniel Riccio, Maria Frucci, Nadia Brancati, Luigi Di Perna, Francesca Simonelli |
| 10 | Automatic Creation of Large Scale Object Databases from Web Resources: a Case Study in Robot Vision | Dario Molinari, Giulia Pasquale, Lorenzo Natale, Barbara Caputo |
| 11 | Dynamic Texture Classification Using Deterministic Partially Self-avoiding Walks on Networks | Lucas C. Ribas, Odemir Bruno |
| 12 | Vision Based Driver Smoking Behavior Detection Using Surveillance Camera Images | Yusuf Artan, Burak Balci, Bensu Alkan, Alperen Elihos |
| 13 | Within-Network Ensemble for Face Attributes Classification | Sara Ahmed, Berrin Yanikoglu |
| 14 | Memory Efficient Deployment of an OpticalFlow Algorithm on GPU using OpenMP | Olfa Haggui, Claude Tadonki, Fatma Sayadi, Bouraoui Ouni |
| 15 | Visual and Textual Sentiment Analysis of Daily News Social Media Images by Deep Learning | Andrea Felicetti, Massimo Martini, Marina Paolanti, Roberto Pierdicca, Emanuele Frontoni, Primo Zingaretti |
| 16 | Semantic Guided Deep Unsupervised Image Segmentation | Sudipan Saha, Swathikiran Sudhakaran, Biplab Banerjee, Sumedh D Pendurkar |
| 17 | Using Handwriting Features to Characterize Cognitive Impairment | Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Mario Molinara, Alessandra Scotto Di Freca |
| 18 | Gaze-based Human-Robot Interaction by the Brunswick Model | Riccardo Berra, Francesco Setti, Marco Cristani |
| 19 | ultiple Organs Segmentation in Abdomen CT Scans Using a Cascade of CNNs | Muhammad Usman Akbar, Shahab Aslani; Vittorio Murino, Diego Sona |
| 20 | Virtual Crowds: an LSTM-based Framework for Crowd Simulation | Nicola Garau, Niccolò Bisagno, Nicola Conci, Andrea Montagner |
| 21 | Worldly Eyes on Video: Learnt vs. Reactive Deployment of Attention to Dynamic Stimuli | Raffaella Lanzarotti, Giuliano Grossi, Vittorio Cuculo, Alessandro D'Amelio |
| 22 | Classification of Skin Lesions by Combining Multilevel Learnings in a DenseNet Architecture | Pierluigi Carcagni, Marco Leo, Andrea Cuna, Pier Luigi Mazzeo, Paolo Spagnolo, Giuseppe Celeste, Cosimo Distante |
Workshops
W1 | Monday | International Workshop on Pattern Recognition for Cultural Heritage (PatReCH 2019)Francesco Fontanella, Mario Molinara, Filippo Stanco |
W2 | Tuesday | DeepRetail: Deep Understanding of Shopper Behaviours and Interactions in Intelligent Retail EnvironmentEmanuele Frontoni, Sebastiano Battiato, Cosimo Distante, Marina Paolanti, Luigi di Stefano, Giovanni Maria Farinella, Anette Wolfrath, Primo Zingaretti |
W3 | Tuesday | BioFor Workshop on Recent Advances in Digital Security: Biometrics and ForensicsDaniel Riccio, Chang-Tsun Li, Francesco Marra, Diego Gragnaniello |
W4 | Tuesday | 1st International Workshop on eHealth in the Big Data and Deep Learning EraTanmoy Chakraborty, Stefano Marrone, Giancarlo Sperlì |
Tutorials
T1 | Monday 09:00-11:00 Aula 2 | Vision, Language and Action: from Captioning to Embodied AILorenzo Baraldi, Marcella Cornia e Massimiliano Corsini |
T2 | Monday | Transferring Knowledge Across Domains: an Introduction to Deep Domain AdaptationMassimiliano Mancini, Pietro Morerio |
T3 | Monday | Fingerprint Presentation Attacks Detection: lessons learned and a ROADMAP to the FutureGian Luca Marcialis |
T4 | Monday | Probabilistic and deep learning for regression in computer visionXavier Alameda-Pineda, Stéphane Lathuilière |
T5 | Monday | Anomaly Detection in ImagesGiacomo Boracchi, Diego Carrera |
T6 | Tuesday | High-Dynamic-Range imaging: improvements and limitsAlessandro Rizzi |
Special Sessions
Industrial Session
In this Industrial Session, we will bring together researchers and practitioners in industrial engineering and computer science interested in industrial machine vision to overview the state of the art and identify the most interesting research lines.
The industrial session will host several companies as well as start-ups to show their activities while assessing them with respect to the cutting-edge research in the respective areas.
DAFNE Challenge
ICIAP2019 will host the presentation of the results of the DAFNE Challange (Digital Anastylosis of Frescoes challeNgE).
The DAFNE Challenge is an international competition in the artistic heritage sector designed to provide virtual solutions that ultimately add to the fresco restorer’s toolkit. The deadline for on-line registration is 31st May 2019.
Brave New Ideas
On Thursday, September 12th, ICIAP 2019 will host a special oral session with "brave new ideas" papers. These papers explore highly innovative ideas, visionary applications and theoretical paradigm shifts in the area of computer vision, pattern recognition, machine learning, multimedia analysis, and image processing.
These papers can arise, for instance, from highly interdisciplinary works (e.g. involving socio-technical studies), from research that exploits innovative data sources as well as from studies that adopt radically new strategies for addressing a well-established task. Due to their visionary nature, the underlying studies can be at an embryonic stage and experimental results can be at preliminary level.
| Ontology-Driven Food Category Classification in Images | Ivan Donadello, Mauro Dragoni |
| Image-to-Image Translation to Unfold the Reality of Artworks: an Empirical Analysis | Matteo Tomei, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara |
| Image Memorability using Diverse Visual Features and Soft Attention | Marco Leonardi, Luigi Celona, Paolo Napoletano, Simone Bianco, Raimondo Schettini, Franco Manessi, Alessandro Rozza |
| Automatic Creation of Large Scale Object Databases from Web Resources: a Case Study in Robot Vision | Dario Molinari, Giulia Pasquale, Lorenzo Natale, Barbara Caputo |
CVPL Highlights
Session 1 (Friday 13 September, 10:30-11:00)
| Latent Space Autoregression for Novelty Detection | Davide Abati, Angelo Porrello, Simone Calderara, Rita Cucchiara |
| Model Vulnerability to Distributional Shifts over Image Transformation Sets | Riccardo Volpi, Vittorio Murino |
| Fitting Multiple Heterogeneous Models by Multi-class Cascaded T-linkage | Luca Magri, Andrea Fusiello |
| Domain Generalization by Solving Jigsaw Puzzles | Fabio M. Carlucci, Antonio D'Innocente, Silvia Bucci, Barbara Caputo, Tatiana Tommasi |
| Real-time Self-adaptive Deep Stereo | Alessio Tonioni, Fabio Tosi, Matteo Poggi, Stefano Mattoccia, Luigi di Stefano |
| Unsupervised Domain Adaptation for ToF Data Denoising With Adversarial Learning | Gianluca Agresti, Henrik Schaefer, Piergiorgio Sartor, Pietro Zanuttigh |
| AdaGraph: Unifying Predictive and Continuous Domain Adaptation through Graphs | Massimiliano Mancini, Samuel Rota Bulò, Barbara Caputo, Elisa Ricci |
Session 2 (Friday 13 September, 11:30-12:00)
| Quasi-Unsupervised Color Constancy | Simone Bianco, Claudio Cusano |
| View-LSTM: Novel-view Video Synthesis through View Decomposition | Mohamed Ilyes Lakhal, Oswald Lanz, Andrea Cavallaro |
| Art2Real: Unfolding the Reality of Artworks via Semantically-Aware Image-to-Image Translation | Matteo Tomei, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara |
| Animating Arbitrary Objects via Deep Motion Transfer | Aliaksandr Siarohin, Stephane Lathuiliere, Sergey Tulyakov, Elisa Ricci, Nicu Sebe |
| Query-guided End-to-End Person Search | Bharti Munjal, Sikandar Amin, Federico Tombari, Fabio Galasso |
| LSTA: Long Short-Term Attention for Egocentric Action Recognition | Swathikiran Sudhakaran, Sergio Escalera, Oswald Lanz |
| What Would You Expect? Anticipating Egocentric Actions with Rolling-Unrolling LSTMs and Modality Attention | Antonio Furnari, Giovanni Maria Farinella |
Presenter instructions
| Oral | It consists of 12 minutes of presentation on stage + 3 minutes for questions. The presenters can bring their laptop on the stage. |
| Spotlight | It consists of 3:15 minutes of presentation + poster presentation. The slideshow will be a video that will be played, which should be 4:3 in MP4 format. Each presenter must upload the spotlight slideshow video by September 4, using this form. For the spotlight presentations, we require MP4 video of the slides with a resolution of 1920x1440p preferred. This will enable us to load all talks onto the same laptop without any configuration/format issues while allowing presenters to use whatever graphics/video tools they choose to generate the presentation. |
| Poster | It consists of a poster presentation on a panel of size 1.5m height × 1m width (A0 - portrait fits). Place your poster on the panel with the corresponding number (check the detailed program above). |
| CVPL Highlights | For the CVPL highlights, we require a file containing the slideshow, without any constraint on the format. This will enable us to load all talks on the same laptop. Each presenter must upload the highlight slideshow file by September 4, using this form. Presentations must be limited to 3 minutes and 15 seconds. The session chairs will not be introducing each highlight, therefore, please ensure your presentation starts with a title slide. When presenting introduce yourself. There will be no time allotted for questions after each presentation. |
Registration & Fees
Online registration is now closed, please register onsite!
Please note that the maximum number of participants is limited to 220.
Onsite registration may be offered on a space-available basis. Please contact the organizing committee ahead of the conference to make sure that you can register onsite, and note that onsite registration desks will close once the full capacity is reached. Please note that on-site registration payments can be processed only by credit cards or in cash.
Accompanying persons or IAPR members not attending the conference may attend the social dinner if there are still places available and pay directly at the restaurant.
Full Conference
The registration fee for the full conference participants covers:
- admission to all conference sessions for 5 days
- abstract book
- conference kit
- coffee breaks for 5 days
- welcome reception
- social dinner
Fees
| Profile | Early bird up to July 19 | Late fee July 20 - August 20 | Onsite * |
Regular | € 700 | € 750 | € 800 |
IAPR member | € 600 | € 650 | € 700 |
Student | € 400 | € 450 | € 500 |
| IAPR Student member | € 350 | € 400 | € 450 |
* only POS payment are accepted
Workshops/Tutorial/Industrial only
The registration fee for the Workshop/Tutorial/Industrial participants covers:
- admission to all conference sessions for 2 days
- abstract book
- conference kit
- coffee breaks for 2 days
- welcome reception
Fees
| Profile | Early bird up to July 19 | Late fee July 20 - August 20 | Onsite * |
Regular | € 350 | € 400 | € 450 |
IAPR member | € 300 | € 350 | € 400 |
Student | € 250 | € 300 | € 350 |
* only POS payment are accepted
VISA
If you need an invitation letter for a visa, you must register for ICIAP 2019 and pay the fee before we can issue an invitation letter.
International registrants should be particularly aware and careful about visa requirements and should plan travel well in advance.
Venue
The event will be hosted at the Palazzo di Giurisprudenza.
Kindly notice, ICIAP participants will be welcommed at the Foyer, via Rosmini 27.
Getting in
By Plane
The nearest airports to Trento are:
1. Verona Valerio Catullo, Italy (90 km);
2. Treviso A. Canova (135 km)
3. Venice Marco Polo, Italy (163 km);
4. Innsbruck, Austria (172 km)
5. Bergamo Orio al Serio, Italy (180 km)
6. Milano Linate and Malpensa, Italy (250 km)
7. Munich, Germany (312 km)
Verona Valerio Catullo Airport Verona-Trento by train takes about 1 hour. The closest airport to Trento is the International Airport of Verona Valerio Catullo.
The airport offers connections to the major European destinations, including the international hubs of Frankfurt, Paris, London Gatwick, and Rome, and some low-cost flights (RyanAir from Frankfurt and Bremen; Transavia from Amsterdam; Germanwings from Berlin, Bonn and London Stansted). For more information visit the airport website. From the Verona Catullo airport to Verona Porta Nuova Railway Station, an Aerobus service is available every day, every 20 minutes.
You can find the shuttle to the railway station just outside the arrivals terminal of the Verona airport. You can buy the ticket online, directly on the bus or inside the airport in a ticket booth. The cost of a one-way ticket is 6 EUR.
The bus is available from 6:35 AM to 9:10 PM, every 20 minutes; from 20:10 to 11:30 every 40 minutes. The trip from the airport to the train station is around 15 minutes. For prices and timetables for the Verona-Trento train, please visit the site Trenitalia.
Treviso A. Canova The international airport A. Canova can be considered to reach Trento. Treviso-Trento by train takes about 3 hours. Treviso international A. Canova Airport is connected by a bus and taxi service to the nearby Treviso and Venezia Mestre railway stations: Locations served by bus from Treviso Antonio Canova Airport • Treviso: ACTT Line 6 • Venice railway station and Piazzale Roma: ATVO line.
The bus can be caught from the airport: in Via Noalese, to the right of the airport exit. Tickets can be bought at the ticket office in the Arrivals hall on the ground floor of Treviso Airport terminal building or on the bus. Connections between Treviso Canova international Airport and the Treviso and Venezia Mestre railway stations • Treviso station • ACTT Line 6 Journey time: 15-20 minutes
A bus can be caught from the airport: in Via Noalese, to the right of the airport exit. For more info please visit. http://www.trevisoairport.it/en/transport/train.html
Venice Marco Polo Airport. Venice-Trento by train takes about 2.5 hours
The International Airport of Venice Marco Polo can be considered to reach Trento. The Venice airport is well connected to the railway station of Venice-Mestre and Venice-Santa Lucia by ATVO and ATCV buses. Venice-Mestre railway station is reachable by bus no 15, Venice-Santa Lucia railway station is reachable by bus no 5.
Please, note that if you consider Venice-Santa Lucia railway station you have to get off the bus in Piazzale Roma and from there walk 10 minutes over the bridge Ponte della Costituzione. You can buy the ticket from a ticket booth or online before your arrival. The cost of a one-way ticket is 8 EUR.
The bus line is available from 6 AM to 12:00 PM. The trip from the airport to the train stations is around 35 minutes. For prices and timetables for the Venice-Trento train, please visit the site of Trenitalia.
Innsbruck Airport. Innsbruck-Trento by train takes about 2.5 hours The International Airport of Innsbruck (Austria) can be considered to reach Trento. The Innsbruck main train station is easily accessed by train or bus from the Innsbruck Airport. Bus route F connects the Innsbruck main station with the airport main building. The journey takes about 20 minutes.
For prices and timetables for the Innsbruck-Trento train, please visit the site of Austrian railways.
Bergamo Orio al Serio Airport. Bergamo-Trento by train takes about 3.5 hours.
The International Airport of Bergamo Orio al Serio is a basis for many low-cost flights (e.g., RyanAir from London Stansted, Paris Beauvais, Barcelona Girona, Valencia). The Bergamo railway station is easily reachable by ATB shuttle bus from the airport in only 15 minutes You can buy the ticket either from a newspaper kiosk or from a ticket booth. The cost of a one-way ticket is 2 EUR.
The bus line is available from 6:15 AM to 12:00 PM, every 20 minutes. The trip from the airport to the train station is around 15 minutes. For prices and timetables for the Bergamo-Trento train, please visit the site of Trenitalia.
Milano Linate Airport. Milano-Trento by train takes about 3 hours.
The airport of Milano Linate can be considered to reach Trento. Milano Linate is just 7 km from the Milano city centre and can be easily reached with various airport shuttles and with ATM lines 73 Urban line 73 Milan Piazza San Babila M1 - Linate First departure: 5:35 a.m. Last departure: 12:35 a.m. Departures every 10 minutes, every day Fare: 1,5 euro Company: ATM www.atm.it
Further info on: http://www.milanolinate-airport.com/en/directions-and-parking/by-bus
Also, a taxi can be considered.
For prices and timetables for the Milano-Trento train please, visit the site of Trenitalia.
Milano Malpensa Airport Milano-Trento by train takes about 3 hours.
The International Airport of Milano Malpensa can be considered to reach Trento. From Malpensa airport take the Malpensa Express train to Milano, Stazione Nord. Once there, take subway line 2 (green line) to reach the Central Train Station. For prices and timetables for the Milano-Trento train, please visit the site of Trenitalia.
Munich Airport. Munich-Trento by train takes about 4.5 hours.
The International Airport of Munich (Germany) can be considered to reach Trento. Trento can be directly reached by train from Munich: for the train schedule, please visit the site of the German State railways. By train Train tickets can be purchased at the railway station. Italian train tickets must be stamped with the yellow machines available at the platform (binario) entrance before getting on the train. In buying your ticket you should specify the arrival station (Trento), the train you are planning to take (some InterCity trains require a supplement that is more expensive if purchased on the train) and the class: 1st (prima) or 2nd (seconda). First class is more comfortable and about 60% more expensive.
Find trains and purchase tickets online • Trenitalia (Italian State Railways) • Deutsche Bahn (German State Railways) • Obb (Austrian State Railways) • Sbb (Swiss State Railways)
By Car
If you are reaching Trento from the north, exit the A22 motorway at TRENTO NORD and follow the signs to go to the Trento city center. If you are reaching Trento from the south, exit the A22 motorway at TRENTO SUD and follow the signs to go to the Trento city center. ViaMichelin is a good link for getting detailed driving directions. Please note that trip advisors may still suggest: TRENTO CENTRO as A22 motorway, but this is closed.
By Train
You can reach Trento by train from almost everywhere in Europe. The main companies which travel to Trento are:
TRENITALIA http://www.trenitalia.com/
About the City
The city of Trento: the unique charm of a renaissance alpine city, where history is art.
Trento is a city rooted in art and history, where the Italian and Mitteleuropean cultures meet. Unique amongst the alpine cities, the City of the Council (1545 - 1563) still keeps its precious monuments as tokens of its rich artistic and historic heritage. Built in the elegant renaissance style, they have been enhanced by recent refurbishing works.
Special mention goes to the Castello del Buonconsiglio, the Castle for several centuries residence of the Prince-Bishops of Trento; the Duomo, the Cathedral of Trento dedicated to San Vigilio, its gorgeous piazza and fountain dedicated to Neptune, the frescoed houses and Council churches as well as the museums and exhibitions which make the city of Trento a true landmark of alpine arts, culture and traditions.
Concilio di Trento (Concilium Tridentinum)
The Council of Trento, held between 1545 and 1563 in Trento and Bologna, was one of the Roman Catholic Church’s most important ecumenical councils. Prompted by the Protestant Reformation, it has been described as the embodiment of the Counter-Reformation.
Castello del Buonconsiglio (Buonconsiglio Castle)
The Castello del Buonconsiglio is the largest and most important monumental complex of the Trentino Alto Adige region.
It was the residence of the Principi Vescovi (Prince-Bishops) of Trentofrom the 13th century to the end of the 18th century, and is composed of a series of buildings of different eras, enclosed by walls and positioned slightly higher than the city:
- the Castelvecchio is the oldest part, dominated by an imposing cylindrical tower
- the Magno Palazzo is the 16th century expansion in the Italian Renaissance-style as commissioned by the Prince-Bishop and Cardinal Bernardo Clesio (1485-1539)
- the Baroque-style Giunta Albertiana dates from the end of the 17thcentury
- at the extreme south of the complex is the Torre Aquila, within which is conserved the famous Cycle of the Months, one of the most fascinating secular pictorial cycles of the late Middle Ages.
Also of exceptional interest are the extensive cycle of frescoes commissioned by the bishops to decorate the interior walls of the Castle, mainly in the late Middle Ages to the Renaissance period. After the end of the Episcopal principality (1803) the castle was used as a barracks; following its restoration in 1924, it became the National Museum, and since 1973 it belongs to the Autonomous Province of Trento.
Duomo di Trento (Cathedral of Trento)
Trento’s Cathedral is dedicated to Saint Vigil and has ancient origins.
There are in fact records that indicate the first church was built on the burial ground of this saint, martyred in the fifth century. It was then enlarged, whilst its present appearance is owed to Bishop Federico Vanga, who entrusted the redesigning of the cathedral to Adam d’Argogno in 1212. The position of the church is the result of his plan.
The construction, continued over the centuries by d’Arogno’s descendants, underwent various changes with respect to the original project due both to the churches needs and the changes in construction techniques. The contrast between the Romanesque style and the height of the vaults recalling gothic cathedrals is extraordinary. Two climbing staircases built into the lateral walls lead up to the two bell towers, in the opposite direction to the altar. Amongst the numerous works of art it is worth noting the worshipped wooden statue of Our Lady of Sorrow, some of the altars, a series of canvasses, the Romanesque sculpture (credited to Adam d’Arogno) called the Madonna of the Drowned, at whose feet the bodies of people who drowned in the Adige or the irrigation channels that flowed through the city and funeral monuments of numerous famous political and religious characters were placed.
In the southern aisle the Alberti Chapel can be found. This contains a large crucifix, in front of which, on 4 December 1563 at the end of the Council, the decrees of the counterreformation were promulgated.
The high Altar with a baroque canopy above, erected in the middle of the eighteenth century with the annulment of the citizens vote during the French siege of 1703, holds the urn with the relics of Saint Vigil.
The frescoes, created between the 13th and 15th century, can be attributed to painters from Venetian, Lombardian and late gothic schools and depict classic Christian themes.
The palaeochristian basilica can be entered from the northern transept, which an excavation campaign lasted several years made accessible.
Trento offers visitors its richly historical and artistic heritage all year around. Visitors can admire its beauties while strolling around the city centre’s alleys, enjoying shopping or visiting the city’s museums.
Museo del Castello del Buonconsiglio
The castle has numerous art and archaeological collections that were first assembled in the mid-19th century within the Civic Museum of Trento and include objects that date from prehistory up to the first half of the 19thcentury documenting the historical and artistic events of Trento and its surrounding territory.
For more information, please see the dedicated website.
MUSE, Museo delle Scienze (MUSE, Science Museum)
MUSE is a place of constant change, from the main exhibitions, up to date with the latest developments, to special projects, with prestigious national and international collaborations, and finally to MUSE Lab, where the most advanced experiments in the field of new technologies take place.
The exhibition of Muse uses the metaphor of the mountain to describe life on Earth.
You start from the top: the terrace and the 4th floor allow us to encounter the sun and ice, and from there you descend to investigate the issues of biodiversity, sustainability, and evolution, until you reach the basement and the wonder of the tropical greenhouse.
Accomodations
Trento has special agreements with local Hotels and B&B to grant keen rates to the Congress' participants. Please find in the enclosed lists 2018 fees. Please notice that the mentioned rates can be granted according to the availability and only with personally contacting the hotel for booking.
Social Events
Reception at the Buonconsiglio Castle
The Buonconsiglio Castle is a museum as well as the largest monumental complex in Trentino-Alto Adige. The Castle built up against the 13th-century city walls served as the residence of the Bishops of Trento from the second half of the 13th century until the secularization of the principality in 1803 and is composed of a series of buildings of different eras, enclosed by walls and positioned slightly higher than the city.
Today it is the seat of the Museo Provinciale d'Arte (Provincial Art Museum), monuments and provincial art collections. It holds numerous collections of art, paintings, sculptures, graphic works, miniate codes, majolica ovens, as well as archaeological and numismatic collections. Among its many Baroque and Gothic frescoes, an outstanding work is the Ciclo dei Mesi (Cycle of the Months) considered one of the most significant examples of international Gothic style in the world.
The Castle is located in the very center of Trento at a walking distance from the Conference venue.
Castello del Buonconsiglio
Via Bernardo Clesio, 5
Trento - Italia
www.buonconsiglio.it
Credits: Carmen Buffa (Archivio UniTrento)
Banquet at Villa Bortolazzi
Located a short distance from the village of Mattarello, Villa Bortolazzi at Acquaviva will allow visitors to appreciate the evocative eighteenth-century atmospheres enclosed within a building with simple and linear contours built in 1693 by Comacini Apollonio and Pietro Somalvico. Adorned by the vast park, the avenue that runs between two boxwood hedges and a garden decorated with statues of divinities and allegories in silent conversation, the exterior of the villa restores a fascinating Arcadian atmosphere. Once through the threshold, the route will allow you to admire the frescoed 18th-century pictorial decoration, the exuberant stucco cornices and the dizzying architectural partitions made by the Trentine painter Antonio Gresta and the Modenese Domenico Romani. The halls of the villa are frescoed with mythological, allegorical scenes, heraldic compositions, elaborate eighteenth-century perspective architectures among which we remember the central hall with the Apotheosis of the Sun between the figures of the Seasons, of the wife Neera and of the two daughters who feed the horses of the chariot of the sun made by Antonio Gresta. The delightful Chapel dedicated to the Blessed Virgin Mary of Carmel is enhanced by paintings by G. B. Cignaroli and by the altar attributed to Giuseppe Antonio Sartori.
Villa Bortolazzi is located in Mattarello, a small village at 20 minutes of distance from the Conference venue. There will be buses from and to the conference venue.
Villa Bortolazzi
Località Acquaviva, 10
38123, Mattarello di Trento, TN
http://www.villabortolazzi.it/
Committees
General Chairs
- Oswald Lanz, Fondazione Bruno Kessler
- Stefano Messelodi, Fondazione Bruno Kessler
- Nicu Sebe, University of Trento
Program Chairs
- Elisa Ricci, University of Trento & Fondazione Bruno Kessler
- Samuel Rota-Bulò, Mapillary Research
- Cees Snoek, University of Amsterdam
Workshop Chairs
- Marco Cristani, University of Verona
- Andrea Prati, University of Parma
Tutorial Chairs
- Costantino Grana, University of Modena e Reggio Emilia
- Lamberto Ballan, University of Padova
Special Session Chairs
- Marco Bertini, University of Florence
- Tatiana Tommasi, Italian Institute of Technology
Industrial Chairs
- Paul Chippendale, Fondazione Bruno Kessler
- Fabio Galasso, OSRAM
Publicity/Web Chairs
- Davide Boscaini, Fondazione Bruno Kessler
- Massimiliano Mancini, Sapienza University of Rome, Fondazione Bruno Kessler & Italian Institute of Technology
Publication Chair
- Michela Lecca, Fondazione Bruno Kessler
Local Chairs
- Fabio Poiesi, Fondazione Bruno Kessler
- Paolo Rota, University of Trento
- Gloria Zen, University of Trento
- Stéphane Lathuillère, University of Trento
Asia Liaison Chair
- Ramanathan Subramanian, University of Glasgow, Singapore
USA Liaison Chair
- Yan Yan, Texas State University, USA
Steering Committee
Virginio Cantoni, University of Pavia
Luigi Pietro Cordella, University of Napoli Federico II
Rita Cucchiara, University of Modena and Reggio Emilia
Alberto Del Bimbo, University of Firenze
Marco Ferretti, University of Pavia
Gian Luca Foresti, University of Udine
Fabio Roli, University of Cagliari
Gabriella Sanniti di Baja, ICAR-CNR
Area Chairs
Video Analysis and Understanding
Andrea Cavallaro, Queen Mary University of London
Efstratios Gavves, University of Amsterdam
Pattern Recognition & Machine Learning
Battista Biggio, University of Cagliari
Marcello Pelillo, University of Venice
Deep Learning
Marco Gori, University of Siena
Francesco Orabona, Boston University
Multiview Geometry and 3D Computer Vision
Andrea Fusiello, University of Udine
Alessio Del Bue, Istituto Italiano di Tecnologia (IIT), Genova
Federico Tombari, Technische Universität München
Image Analysis, Detection and Recognition
Barbara Caputo, University of Rome, La Sapienza
Jasper Uijlings, Google AI
Multimedia
Xavier Alameda-Pineda, INRIA
Francesco De Natale, University of Trento
Biomedical and Assistive Technology
Giovanni Maria Farinella, University of Catania
Roberto Manduchi, UCSC
Digital Forensics
Giulia Boato, University of Trento
Fernando Pérez-González, University of Vigo
Image processing for Cultural Heritage
Andreas Rauber, TU Wien
Lorenzo Seidenari, University of Florence
Brave New Ideas
Michele Merler, IBM T. J. Watson Research Center
Concetto Spampinato, University of Catania
Proudly sponsored by
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With the endorsement of
