Invited Talks and Accepted Abstracts

Invited Talks

Rama Chellappa, "Adaptation of Sensors, Representations and Classifiers for Image and Video-based Recognition" [PDF]

Alexei Efros, "Dataset Bias and How to Live with It" [PDF]

Kristen Grauman, "Adaptation for Objects and Attributes" [PDF]

Christoph Lampert, " Towards Lifelong Visual Learning: From Practice to Theory and back" [PDF]

Antonio Lopez,"Virtual and Real World Adaptation for Pedestrian Detection" [PDF]

Dong Xu, "SVM Based Approaches for Domain Adaptation" [PDF]

Accepted Abstracts

Omid Aghazadeh, Stefan Carlsson "Datasets, Sample Selection, and Test Performance" [PDF]

Mohamed Elhoseiny, Babak Saleh, Ahmed Elgammal "Heterogeneous Domain Adaptation: Learning Visual Classifiers from Textual Description" [PDF]

Fatemeh Mirrashed, Vlad Morariu, Larry Davis "Sampling For Unsupervised Domain Adaptive Object Detection" [PDF]

Fatemeh Mirrashed, Mohammad Rastegari "Domain Adaptive Classification" [PDF]

Konstantinos Rematas, Basura Fernando, Tatiana Tommasi, Tinne Tuytelaars "Does Evolution cause a Domain Shift?" [PDF]

Erik Rodner, Judy Hoffman, Jeff Donahue, Trevor Darrell, Kate Saenko "Scalable Transform-based Domain Adaptation" [PDF]

Yainuvis Socarras, Sebastian Ramos, David Vazquez, Antonio Lopez, Theo Gevers "Adapting Pedestrian Detection from Synthetic to Far Infrared Images" [PDF]

Jingjing Zheng, Rama Chellappa, Jonathon Phillips "Sparse Embedding-based Domain Adaptation for Object Recognition" [PDF]