CVC at ICCV 2019
CVC will be present at this year's International Conference on Computer Vision, which will be taking place in Seoul at the end of October. Quoting the ICCV2019 organisation, "ICCV is the premier international computer vision event comprising the main conference and several co-located workshops and tutorials." This year, the Conference has received a total of 4303 submissions -- a 100% increase over ICCV 2017. The papers presented in this Conference are the following: F. Codevilla, E. Santanta, A. M. López, A. Gaidon (2019): Exploring the Limitations of Behavior Cloning for Autonomous Driving H.H. Aghdam, A. González-Garcia, J. Van de Weijer, M. Danelljan, F. S. Khan (2019): Active Learning for Deep Detection Neural Networks L. Zhang, A. González-Garcia, J. Van de Weijer, M. Danelljan, F. S. Khan (2019): Learning the Model Update for Siamese Trackers D. Berga, X. R. Fdez-Vidal, X. Otazu, X.M. Pardo (2019): SID4VAM: A Benchmark Dataset With Synthetic Images for Visual Attention Modeling A. F. Biten, R. Tito, A. Mafla, Ll. Gómez, M. Rusiñol, E. Valveny, C.V. Jawahar, D. Karatzas (2019): Scene Text Visual Question Answering
Workshop papers: 7th Workshop on Computer Vision for Road Scene Understanding and Autonomous Driving - J. Z. Bengar, A. González-Garcia, G. Villalonga, B. Raducanu, H. H. Aghdam, M. Mozerov, A. M. López, J. Van de Weijer (2019): Temporal Coherence for Active Learning in Videos 7th Visual Object Tracking Challenge VOT2019 - L. Zhang, M. Danelljan, A. González-Garcia, J. Van de Weijer, F.S. Khan (2019):Multi-Modal Fusion for End-to-End RGB-T Tracking Advances in Image Manipulation Workshop - M. Al Rawi, D. Bazazian, E. Valveny (2019): Can Generative Adversarial Networks Teach Themselves Text Segmentation?
4th International Workshop on Compact and Efficient Feature Representation and Learning in Computer Vision - M. Al Rawi, E. Valveny (2019): Compact and Efficient Multitask Learning in Vision, Language and Speech
Furthermore, Dr. Antonio López was organizer of the workshop "Transferring and Adapting Source Knowledge in Computer Vision and VisDA Challenge" (TASK-CV 2019)