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Carl Vondrick
Researcher at Columbia University
Publications - 119
Citations - 12134
Carl Vondrick is an academic researcher from Columbia University. The author has contributed to research in topics: Computer science & Object detection. The author has an hindex of 37, co-authored 92 publications receiving 9054 citations. Previous affiliations of Carl Vondrick include University of California, Irvine & Google.
Papers
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Proceedings ArticleDOI
Generating Videos with Scene Dynamics
TL;DR: A generative adversarial network for video with a spatio-temporal convolutional architecture that untangles the scene's foreground from the background is proposed that can generate tiny videos up to a second at full frame rate better than simple baselines.
Proceedings ArticleDOI
AVA: A Video Dataset of Spatio-Temporally Localized Atomic Visual Actions
Chunhui Gu,Chen Sun,David A. Ross,Carl Vondrick,Caroline Pantofaru,Yeqing Li,Sudheendra Vijayanarasimhan,George Toderici,Susanna Ricco,Rahul Sukthankar,Cordelia Schmid,Jitendra Malik,Jitendra Malik +12 more
TL;DR: The AVA dataset densely annotates 80 atomic visual actions in 437 15-minute video clips, where actions are localized in space and time, resulting in 1.59M action labels with multiple labels per person occurring frequently.
Posted Content
SoundNet: Learning Sound Representations from Unlabeled Video
TL;DR: In this article, the authors leverage the natural synchronization between vision and sound to learn an acoustic representation using two-million unlabeled videos and propose a student-teacher training procedure which transfers discriminative visual knowledge from well established visual recognition models into the sound modality using unlabelled video as a bridge.
Posted Content
Generating Videos with Scene Dynamics
TL;DR: The authors proposed a generative adversarial network for video with a spatio-temporal convolutional architecture that untangles the scene's foreground from the background, which can generate tiny videos up to a second at full frame rate better than simple baselines.
Proceedings ArticleDOI
A large-scale benchmark dataset for event recognition in surveillance video
Sangmin Oh,Anthony Hoogs,A. G. Amitha Perera,Naresh P. Cuntoor,Chia-Chih Chen,Jong Taek Lee,Saurajit Mukherjee,Jake K. Aggarwal,Hyungtae Lee,Larry S. Davis,Eran Swears,Xioyang Wang,Qiang Ji,Kishore K. Reddy,Mubarak Shah,Carl Vondrick,Hamed Pirsiavash,Deva Ramanan,Jenny Yuen,Antonio Torralba,Bi Song,Anesco Fong,Amit K. Roy-Chowdhury,Mita Desai +23 more
TL;DR: A new large-scale video dataset designed to assess the performance of diverseVisual event recognition algorithms with a focus on continuous visual event recognition (CVER) in outdoor areas with wide coverage is introduced.