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Papers

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2.5D Visual Sound
Ruohan Gao, Kristen Grauman
2019 CVPR
MHP-VOS: Multiple Hypotheses Propagation for Video Object Segmentation
Shuangjie Xu, Daizong Liu, Linchao Bao et al.
2019 CVPR
Long-Term Feature Banks for Detailed Video Understanding
Chao-Yuan Wu, Christoph Feichtenhofer, Haoqi Fan et al.
2019 CVPR
Relational Action Forecasting
Chen Sun, Abhinav Shrivastava, Carl Vondrick et al.
2019 CVPR
STEP: Spatio-Temporal Progressive Learning for Video Action Detection
Xitong Yang, Xiaodong Yang, Ming-Yu Liu et al.
2019 CVPR
Timeception for Complex Action Recognition
Noureldien Hussein, Efstratios Gavves, Arnold W.M. Smeulders
2019 CVPR
Video Action Transformer Network
Rohit Girdhar, Joao Carreira, Carl Doersch et al.
2019 CVPR
2019 CVPR
2019 CVPR
2019 CVPR
Real-Time Self-Adaptive Deep Stereo
Alessio Tonioni, Fabio Tosi, Matteo Poggi et al.
2019 CVPR
GA-Net: Guided Aggregation Net for End-To-End Stereo Matching
Feihu Zhang, Victor Prisacariu, Ruigang Yang et al.
2019 CVPR
Pushing the Boundaries of View Extrapolation With Multiplane Images
Pratul P. Srinivasan, Richard Tucker, Jonathan T. Barron et al.
2019 CVPR
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
Jeong Joon Park, Peter Florence, Julian Straub et al.
2019 CVPR
Strand-Accurate Multi-View Hair Capture
Giljoo Nam, Chenglei Wu, Min H. Kim et al.
2019 CVPR
Revealing Scenes by Inverting Structure From Motion Reconstructions
Francesco Pittaluga, Sanjeev J. Koppal, Sing Bing Kang et al.
2019 CVPR
BAD SLAM: Bundle Adjusted Direct RGB-D SLAM
Thomas Schops, Torsten Sattler, Marc Pollefeys
2019 CVPR
AutoAugment: Learning Augmentation Strategies From Data
Ekin D. Cubuk, Barret Zoph, Dandelion Mane et al.
2019 CVPR
Striking the Right Balance With Uncertainty
Salman Khan, Munawar Hayat, Syed Waqas Zamir et al.
2019 CVPR
Learning Loss for Active Learning
Donggeun Yoo, In So Kweon
2019 CVPR
2019 CVPR