Program

Time
Event
08:30 - 08:40Welcome 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 - 10:10Invited 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 - 11:15Coffee Break / Posters will be hanged during this break
11:15 - 11:35Oral 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 - 11:55Oral 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 - 12:35Short 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 - 14:00Lunch
14:00 - 14:45Invited Talk 3: "Recent theoretical and algorithmic advances in domain adaptation" (Slides)
Prof. Mehryar Mohri (Courant Institute of Mathematical Sciences)
14:45 - 15:45Poster session / Poster authors must be in their poster location
15.45 - 16:00Coffee Break
16:00 - 16:20Oral 4: "A testbed for cross-dataset analysis" (Slides)
Tatiana Tommasi (Katholieke Universiteit Leuven), Tinne Tuytelaars (Katholieke Universiteit Leuven)
16:20 - 17:05Invited Talk 4: "Domain adaptation and deep learning for large scale object recognition and detection" (Slides) Prof. Trevor Darrell (University of California, Berkeley)
17:05 - 17:50Invited Talk 5: "Kernel methods for domain adaptation" (Slides)
Boqing Gong (University of Southern California)
17:50 - 18:00Best paper announcement and Workshop closing