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Google at CVPR 2017

Friday, July 21, 2017

Posted by Christian Howard, Editor-in-Chief, Research Communications2017 Conference on Computer Vision and Pattern Recognitionmachine perceptionHeadset Removal for Virtual and Mixed RealityImage Compression with Neural NetworksJumpTensorFlow Object Detection APIOrganizing CommitteeMei HanAlexander Toshev, Ce Liu, Vittorio Ferrari, David LowePapersTraining object class detectors with click supervisionDim Papadopoulos, Jasper Uijlings, Frank Keller, Vittorio FerrariUnsupervised Pixel-Level Domain Adaptation With Generative Adversarial NetworksKonstantinos Bousmalis, Nathan Silberman, David Dohan, Dumitru Erhan, Dilip KrishnanBranchOut: Regularization for Online Ensemble Tracking With Convolutional Neural NetworksBohyung Han, Jack Sim, Hartwig Adam Enhancing Video Summarization via Vision-Language EmbeddingBryan A. Plummer, Matthew Brown, Svetlana LazebnikLearning by Association — A Versatile Semi-Supervised Training Method for Neural NetworksPhilip Haeusser, Alexander Mordvintsev, Daniel CremersContext-Aware Captions From Context-Agnostic SupervisionRamakrishna Vedantam, Samy Bengio, Kevin Murphy, Devi Parikh, Gal Chechik Spatially Adaptive Computation Time for Residual NetworksMichael Figurnov, Maxwell D. Collins, Yukun Zhu, Li Zhang, Jonathan Huang, Dmitry Vetrov, Ruslan SalakhutdinovXception: Deep Learning With Depthwise Separable ConvolutionsFrançois Chollet Deep Metric Learning via Facility LocationHyun Oh Song, Stefanie Jegelka, Vivek Rathod, Kevin MurphySpeed/Accuracy Trade-Offs for Modern Convolutional Object DetectorsJonathan Huang, Vivek Rathod, Chen Sun, Menglong Zhu, Anoop Korattikara, Alireza Fathi, Ian Fischer, Zbigniew Wojna, Yang Song, Sergio Guadarrama, Kevin MurphySynthesizing Normalized Faces From Facial Identity FeaturesForrester Cole, David Belanger, Dilip Krishnan, Aaron Sarna, Inbar Mosseri, William T. FreemanTowards Accurate Multi-Person Pose Estimation in the WildGeorge Papandreou, Tyler Zhu, Nori Kanazawa, Alexander Toshev, Jonathan Tompson, Chris Bregler, Kevin MurphyGuessWhat?! Visual Object Discovery Through Multi-Modal DialogueHarm de Vries, Florian Strub, Sarath Chandar, Olivier Pietquin, Hugo Larochelle, Aaron CourvilleLearning discriminative and transformation covariant local feature detectorsXu Zhang, Felix X. Yu, Svebor Karaman, Shih-Fu ChangFull Resolution Image Compression With Recurrent Neural NetworksGeorge Toderici, Damien Vincent, Nick Johnston, Sung Jin Hwang, David Minnen, Joel Shor, Michele CovellLearning From Noisy Large-Scale Datasets With Minimal SupervisionAndreas Veit, Neil Alldrin, Gal Chechik, Ivan Krasin, Abhinav Gupta, Serge BelongieUnsupervised Learning of Depth and Ego-Motion From VideoTinghui Zhou, Matthew Brown, Noah Snavely, David G. Lowe Cognitive Mapping and Planning for Visual NavigationSaurabh Gupta, James Davidson, Sergey Levine, Rahul Sukthankar, Jitendra MalikFast Fourier Color ConstancyJonathan T. Barron, Yun-Ta TsaiOn the Effectiveness of Visible WatermarksTali Dekel, Michael Rubinstein, Ce Liu, William T. FreemanYouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in VideoEsteban Real, Jonathon Shlens, Stefano Mazzocchi, Xin Pan, Vincent VanhouckeWorkshopsDeep Learning for Robotic Vision Anelia Angelova, Kevin MurphyGeorge Papandreou, Nathan Silberman, Pierre SermanetThe Fourth Workshop on Fine-Grained Visual CategorizationYang SongHartwig AdamAnelia Angelova, Yuning Chai, Nathan Frey, Jonathan Krause, Catherine Wah, Weijun WangLanguage and Vision Workshop R. SukthankarThe First Workshop on Negative Results in Computer Vision R. Sukthankar, W. Freeman, J. MalikVisual Understanding by Learning from Web DataJesse Berent, Abhinav Gupta, Rahul Sukthankar Wei LiYouTube-8M Large-Scale Video Understanding ChallengePaul Natsev, Rahul Sukthankar Joonseok Lee, George TodericiSami Abu-El-Haija, Anja Hauth, Nisarg Kothari, Hanhan Li, Sobhan Naderi Parizi, Balakrishnan Varadarajan, Sudheendra Vijayanarasimhan, Jian Wang