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08:30 - 08:40 | Welcome and Agenda Presentation |
08:40 - 09:25 | Invited Talk 1: "Overcoming dataset bias: how far are we from the solution" (Slides) Prof. Tinne Tuytelaars (Katholieke Universiteit Leuven) |
09:25 - 10:10 | Invited Talk 2: "Learning with a time-evolving data distribution" (Slides) Prof. Christoph Lampert (Institute of Science and Technology, Austria) |
10:10 - 10:30 | Oral 1: "Domain adaptation with a domain specific class means classifier" (Slides) Gabriela Csurka (Xerox Research Center Europe), Boris Chidlovskii (Xerox Research Center Europe), Florent Perronnin (Xerox Research Center Europe) |
10:30 - 11:15 | Coffee Break / Posters will be hanged during this break |
11:15 - 11:35 | Oral 2: "Nonlinear cross-view sample enrichment for action recognition" (Slides) Ling Wang (Institut Mines-Télécom; Télécom ParisTech; CNRS LTCI), Hichem Sahbi (Institut Mines-Télécom; Télécom ParisTech; CNRS LTCI) |
11:35 - 11:55 | Oral 3: "Automatic expansion of a food image dataset leveraging existing categories with domain adaptation" Yoshiyuki Kawano (The University of Electro-Communications, Japan) Keiji Yanai (The University of Electro-Communications, Japan) |
11:55 - 12:35 | Short Oral Presentation of Workshop Posters and Invited Posters Poster 1: "Multi-task multi-sample learning" Yusuf Aytar (University of Oxford), Andrew Zisserman (University of Oxford) Poster 2: "Multi-modal distance metric learning: a Bayesian non-parametric approach" Behnam Babagholami-Mohamadabadi (Sharif University of Technology), Seyed Mahdi Roostaiyan (Sharif University of Technology), Ali Zarghami (Sharif University of Technology), Mahdieh Soleymani Baghshah (Sharif University of Technology) Poster 3: "Structure-aware domain adaptation of deformable part-based models" (Poster) Jiaolong Xu (Computer Vision Center & Universitat Autònoma de Barcelona), Sebastian Ramos (Computer Vision Center & Universitat Autònoma de Barcelona), David Vázquez (Computer Vision Center), Antonio M. López (Computer Vision Center & Universitat Autònoma de Barcelona) Poster 4: "Incremental domain adaptation of deformable part-based models" (Poster) Jiaolong Xu (Computer Vision Center & Universitat Autònoma de Barcelona), Sebastian Ramos (Computer Vision Center & Universitat Autònoma de Barcelona), David Vázquez (Computer Vision Center), Antonio M. López (Computer Vision Center & Universitat Autònoma de Barcelona) Poster 5: "From virtual to reality: fast adaptation of virtual object detectors to real domains", (Poster) Baochen Sun (UMass Lowell), Kate Saenko (UMass Lowell) Poster 6: "Domain-adaptive discriminative one-shot learning of gestures" (Poster) Tomas Pfister (University of Oxford), James Charles (University of Leeds), Andrew Zisserman (University of Oxford) Poster 7: "Statistical and spatial consensus collection for detector adaptation" (Poster) Enver Sangineto (DISI, University of Trento) Poster 8/Demo: "Self-Learning Camera: Autonomous Adaptation of Object Detectors to Unlabeled Video Streams" (Poster) Adrien Gaidon, (Xerox Research Centre Europe), Eleonora Vig (Xerox Research Centre Europe) |
12:35 - 14:00 | Lunch |
14:00 - 14:45 | Invited Talk 3: "Recent theoretical and algorithmic advances in domain adaptation" (Slides) Prof. Mehryar Mohri (Courant Institute of Mathematical Sciences) |
14:45 - 15:45 | Poster session / Poster authors must be in their poster location |
15.45 - 16:00 | Coffee Break |
16:00 - 16:20 | Oral 4: "A testbed for cross-dataset analysis" (Slides) Tatiana Tommasi (Katholieke Universiteit Leuven), Tinne Tuytelaars (Katholieke Universiteit Leuven) |
16:20 - 17:05 | Invited Talk 4: "Domain adaptation and deep learning for large scale object recognition and detection" (Slides) Prof. Trevor Darrell (University of California, Berkeley) |
17:05 - 17:50 | Invited Talk 5: "Kernel methods for domain adaptation" (Slides) Boqing Gong (University of Southern California) |
17:50 - 18:00 | Best paper announcement and Workshop closing |