Topics include, but are not limited to:
Early and Biologically Inspired Vision Color and Texture Segmentation and Grouping Computational Photography and Video Motion and Tracking Shape-from-X Stereo and Structure from Motion Image-Based Modeling Illumination and Reflectance Modeling Shape Representation and Matching Object Detection, Recognition, and Categorization Deep learning Video Analysis and Event Recognition Face and Gesture Analysis Statistical Methods and Learning Performance Evaluation Medical Image Analysis Image and Video Retrieval Vision for Graphics Vision for Robotics Vision for Internet Applications of Computer Vision
This list of topics is non-exhaustive. In case of any doubt about whether your topic is appropriate for presentation at the conference, please contact the program chairs.
|13.30-13.45||Spot On: Action Localization from Pointly-Supervised Proposals||Mettes et al.|
|13.45-14.00||Objects2action: Classifying and localizing actions without any video example||Jain et al.|
|14.00-14.15||Video Stream Retrieval of Unseen Queries using Semantic Memory||Capallo et al.|
|14.15-14.30||VideoLSTM Convolves, Attends and Flows for Action Recognition||Li et al.|
|14.30-14.40||10 minute break|
|14.45-15.45||Keynote talk: Towards 3D Visual Scene Understanding||Bernt Schiele|
|15.45-15.55||10 minute break|
|16.00-16.15||One-Step Time-Dependent Future Video Frame Prediction with a Convolutional Encoder-Decoder Neural Network||Vukotic et al.|
|16.15-16.30||3D Face Tracking for Infant Monitoring Using Dense HOG and Drift Reduction||Saeijs et al.|
|16.30-16.45||Who's that Actor? Automatic Labelling of Actors in TV series starting from IMDB Images||Chakravarty et al.|
|16.45-17.00||Self-Supervised Online Training of FCNs for Free-Space Detection||Sanberg et al.|
|17.00-17.10||10 minute break|
|09.00-09.15||Siamese Instance Search for Tracking||Tao et al.|
|09.15-09.30||Extent Pooling for Weakly Supervised Object Localization||Gudi et al.|
|09.30-09.45||Improving Semantic Video Segmentation by Dynamic Scene Integration||Zanjani et al.|
|09.45-09.55||10 minute break|
|10.00-11.00||Keynote talk: Beyond Traditional Mean Field||Pascal Fua|
|11.00-11.10||10 minute break|
|11.15-11.30||Evaluation and comparison of computer vision methods for early Barrett's cancer detection using volumetric laser endomicroscopy||van der Sommen et al.|
|11.30-11.45||Structured Receptive Fields in CNNs||Jacobsen et al.|
|11.45-12.00||Multimodal Popularity Prediction of Brand-related Social Media Posts||Mazloom et al.|
|Extent Pooling for Weakly Supervised Object Localization||Gudi et al.|
|3D Face Tracking for Infant Monitoring Using Dense HOG and Drift Reduction||Saeijs et al.|
|Spot On: Action Localization from Pointly-Supervised Proposals||Mettes et al.|
|Video Stream Retrieval of Unseen Queries using Semantic Memory||Cappallo et al.|
|Making a Case for Learning Motion Representations with Phase||Pintea et al.|
|Pooling Objects for Recognizing Scenes without Examples||Kordumova et al.|
|Objects2action: Classifying and localizing actions without any video example||Jain et al.|
|Siamese Instance Search for Tracking||Tao et al.|
|The ImageNet Shuffle: Reorganized Pre-training for Video Event Detection||Mettes et al.|
|Human Pose Estimation in Space and Time using 3D CNN||Grinciunaite et al.|
|Structured Receptive Fields in CNNs||Jacobsen et al.|
|Deep Learning and Support Vector Machine for Effective Plant Identification||Strezoski et al.|
|Evaluation and comparison of computer vision methods for early Barrett's cancer detection using volumetric laser endomicroscopy||van der Sommen et al.|
|Self-Supervised Online Training of FCNs for Free-Space Detection||Sanberg et al.|
|Who's that Actor? Automatic Labelling of Actors in TV series starting from IMDB Images||Chakravarty et al.|
|One-Step Time-Dependent Future Video Frame Prediction with a Convolutional Encoder-Decoder Neural Network||Vukotic et al.|
|Depth-aware Motion Magnification||Kooij et al.|
|Point Light Source Position Estimation from RGB-D Images by Learning Surface Attributes||Karaoglu et al.|
|Active Transfer Learning with Zero-Shot Priors: Reusing Past Datasets for Future Tasks||Gavves et al.|
|Online Action Detection||de Geest et al.|
|Multimodal Popularity Prediction of Brand-related Social Media Posts||Mazloom et al.|
|VideoLSTM Convolves, Attends and Flows for Action Recognition||Li et al.|
|Multivariate Time Series Classification using the Hidden-Unit Logistic Model||Pei et al.|
|Monitoring Dementia with Automatic Eye Movements Analysis||Zhang et al.|
|Towards Robust Water Region Extraction For Maritime Surveillance||Ghahremani et al.|
Max-Planck-Institut für Informatik (MPI)
École polytechnique fédérale de Lausanne (EFPL)
Track A: Type A contributions present new unpublished work in a paper of 4-8 pages.
The papers will be peer-reviewed by the program committee.
In case of acceptance, NCCV does not claim copyright of the paper, so you are free to re-submit it elsewhere after NCCV.
Track B: Type B contributions are abstracts (2 pages max.) of work that was previously published
in another peer-reviewed computer-vision venue (CVPR, ECCV, ICCV, IJCV, IEEE TPAMI, IEEE TIP, IEEE TMI, MIA, IPMI, MICCAI etc.).
Abstracts are used to determine the final program of the conference.
To ensure a high quality of the conference and to reduce reviewer load, we particularly encourage the submission of type B papers.
All contributions will be published on the NCCV website, but no copyright will be claimed.
The program committee will decide on which (A and B) contributions to selected for an oral presentation, and which ones for a poster presentation.
Follow the following directions.
Lunteren train station to Conference Centre De Werelt: Monday between 11:00 and 12:15 Conference Centre De Werelt to Lunteren train station: Tuesday between 12:45 and 13:15
From the train station in Lunteren, you can also walk to De Werelt along the paved road or via a forest path.
Walking from Lunteren station to De Werelt takes approximately 15 minutes.
Full registration packages includes two lunches, a borrel, dinner, overnight stay, and breakfast.
At least one author of each accepted paper is required to register for the conference.
The total number of participants is limited because of space constraints, so please register early!
|ASCI Full Registration||€70|
|Academic Full Registration||€150|
|Industry Full Registration||€250|
|Academic Day pass: 12 Dec (+lunch, borrel, dinner)||€100|
|Industry Day pass: 12 Dec (+lunch, borrel, dinner)||€180|
|Academic Day pass: 13 Dec (+lunch)||€80|
|Industry Day pass: 13 Dec (+lunch)||€100|
Hamdi Dibeklioglu, Delft University of Technology Thomas Mensink, University of Amsterdam Ronald Poppe, Utrecht University Theo Gevers, University of Amsterdam Gertjan Burghouts, TNO, NL Gwenn Englebienne, University of Twente, NL Peter De With, Technical University of Eindhoven, NL Emile Hendriks, Delft University of Technology, NL Hayley Hung, Delft University of Technology, NL Bouke Huurnink, The Netherlands Institute for Sound and Vision, NL Inald Lagendijk, Delft University of Technology, NL Marco Loog, Delft University of Technology, NL Wiro Niessen, Erasmus University Medical Center, NL Johan Oomen, The Netherlands Institute for Sound and Vision, NL Eric Postma, Tilburg University, NL Marcel Reinders, Delft University of Technology, NL Hichem Sahli, Vrije Universiteit Brussel, BE Albert Ali Salah, Bogazici University, TR Klamer Schutte, TNO, NL Nicu Sebe, University of Trento, IT Jan Sijbers, University of Antwerp, BE Arnold Smeulders, University of Amsterdam, NL Cees Snoek, Qualcomm / University of Amsterdam, NL Robby Tan, National University of Singapore, SG Emrah Tasli, Booking.com, NL David Tax, Delft University of Technology, NL Tinne Tuytelaars, Catholic University of Leuven, BE Jasper Uijlings, University of Edinburgh, UK Roberto Valenti, SightCorp, NL Michel Valstar, University of Nottingham, UK Joost van de Weijer, Universitat Autònoma de Barcelona, ES Laurens van der Maaten, Facebook, US Raymond Veldhuis, University of Twente, NL Remco Veltkamp, Utrecht University, NL Max Welling, University of Amsterdam, NL Marco Wiering, University of Groningen, NL Marcel Worring, University of Amsterdam, NL Zoran Zivkovic, Intel, NL