AVA: A Video Dataset of Atomic Visual Action
AVA is a project that provides audiovisual annotations of video for improving our understanding of human activity. Each of the video clips has been exhaustively annotated by human annotators, and together they represent a rich variety of scenes, recording conditions, and expressions of human activity. We provide the following annotations. AVA-Kinetics, our latest release, is a crossover between th
Google DeepMind
Latest news Discover our latest AI breakthroughs and updates from the lab Responsibility & Safety The ethics of advanced AI assistants The ethics of advanced AI assistants Exploring the promise and risks of a future with more capable AI Research TacticAI: an AI assistant for football tactics As part of our multi-year collaboration with Liverpool FC, we develop a full AI system that can advise coac
Abnormal Event Detection in Videos using Generative Adversarial Nets
In this paper we address the abnormality detection problem in crowded scenes. We propose to use Generative Adversarial Nets (GANs), which are trained using normal frames and corresponding optical-flow images in order to learn an internal representation of the scene normality. Since our GANs are trained with only normal data, they are not able to generate abnormal events. At testing time the real d
Deep Generative Models
Deep Generative Models Yoshua Bengio, University of Montreal, Canada Tuesday, July 5, 2016 · 1:59 p.m. · 01h 08m 04s
Deep Supervised Learning of Representations
Deep Supervised Learning of Representations Yoshua Bengio, University of Montreal, Canada Monday, July 4, 2016 · 2:01 p.m. · 59m 34s
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[1705.06950] The Kinetics Human Action Video Dataset
Generative Adversarial Networks for Multimodal Representation Learning in Video Hyperlinking
Dual Motion GAN for Future-Flow Embedded Video Prediction
Action Tubelet Detector for Spatio-Temporal Action Localization
Bitbucket
CDC: Convolutional-De-Convolutional Networks for Precise Temporal Action Localization in Untrimmed Videos
Temporal Convolution Based Action Proposal: Submission to ActivityNet 2017
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Google Drive: Sign-in
ActivityNet Challenge
ActivityNet Challenge
ActivityNet Challenge
Video Frame Synthesis using Deep Voxel Flow
Videolectures
Recording Audio Using Skype and Pamela