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Gengshan Yang
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2020 – today
- 2024
- [c16]Nikhil Varma Keetha, Jay Karhade, Krishna Murthy Jatavallabhula, Gengshan Yang, Sebastian Scherer, Deva Ramanan, Jonathon Luiten:
SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM. CVPR 2024: 21357-21366 - [i12]Jeff Tan, Donglai Xiang, Shubham Tulsiani, Deva Ramanan, Gengshan Yang:
DressRecon: Freeform 4D Human Reconstruction from Monocular Video. CoRR abs/2409.20563 (2024) - 2023
- [j3]John Z. Zhang, Shuo Yang, Gengshan Yang, Arun L. Bishop, Swaminathan Gurumurthy, Deva Ramanan, Zachary Manchester:
SLoMo: A General System for Legged Robot Motion Imitation From Casual Videos. IEEE Robotics Autom. Lett. 8(11): 7154-7161 (2023) - [c15]Kangle Deng, Gengshan Yang, Deva Ramanan, Jun-Yan Zhu:
3D-aware Conditional Image Synthesis. CVPR 2023: 4434-4445 - [c14]Jeff Tan, Gengshan Yang, Deva Ramanan:
Distilling Neural Fields for Real-Time Articulated Shape Reconstruction. CVPR 2023: 4692-4701 - [c13]Gengshan Yang, Chaoyang Wang, N. Dinesh Reddy, Deva Ramanan:
Reconstructing Animatable Categories from Videos. CVPR 2023: 16995-17005 - [c12]Gengshan Yang, Shuo Yang, John Z. Zhang, Zachary Manchester, Deva Ramanan:
PPR: Physically Plausible Reconstruction from Monocular Videos. ICCV 2023: 3891-3901 - [c11]Chonghyuk Song, Gengshan Yang, Kangle Deng, Jun-Yan Zhu, Deva Ramanan:
Total-Recon: Deformable Scene Reconstruction for Embodied View Synthesis. ICCV 2023: 17625-17636 - [i11]Kangle Deng, Gengshan Yang, Deva Ramanan, Jun-Yan Zhu:
3D-aware Conditional Image Synthesis. CoRR abs/2302.08509 (2023) - [i10]Chonghyuk Song, Gengshan Yang, Kangle Deng, Jun-Yan Zhu, Deva Ramanan:
Total-Recon: Deformable Scene Reconstruction for Embodied View Synthesis. CoRR abs/2304.12317 (2023) - [i9]John Z. Zhang, Shuo Yang, Gengshan Yang, Arun L. Bishop, Deva Ramanan, Zachary Manchester:
SLoMo: A General System for Legged Robot Motion Imitation from Casual Videos. CoRR abs/2304.14389 (2023) - [i8]Gengshan Yang, Chaoyang Wang, N. Dinesh Reddy, Deva Ramanan:
Reconstructing Animatable Categories from Videos. CoRR abs/2305.06351 (2023) - [i7]Nikhil Varma Keetha, Jay Karhade, Krishna Murthy Jatavallabhula, Gengshan Yang, Sebastian A. Scherer, Deva Ramanan, Jonathon Luiten:
SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM. CoRR abs/2312.02126 (2023) - 2022
- [c10]Gengshan Yang, Minh Vo, Natalia Neverova, Deva Ramanan, Andrea Vedaldi, Hanbyul Joo:
BANMo: Building Animatable 3D Neural Models from Many Casual Videos. CVPR 2022: 2853-2863 - 2021
- [c9]Gengshan Yang, Deva Ramanan:
Learning To Segment Rigid Motions From Two Frames. CVPR 2021: 1266-1275 - [c8]Gengshan Yang, Deqing Sun, Varun Jampani, Daniel Vlasic, Forrester Cole, Huiwen Chang, Deva Ramanan, William T. Freeman, Ce Liu:
LASR: Learning Articulated Shape Reconstruction From a Monocular Video. CVPR 2021: 15980-15989 - [c7]Gengshan Yang, Deqing Sun, Varun Jampani, Daniel Vlasic, Forrester Cole, Ce Liu, Deva Ramanan:
ViSER: Video-Specific Surface Embeddings for Articulated 3D Shape Reconstruction. NeurIPS 2021: 19326-19338 - [c6]Jason Y. Zhang, Gengshan Yang, Shubham Tulsiani, Deva Ramanan:
NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wild. NeurIPS 2021: 29835-29847 - [i6]Gengshan Yang, Deva Ramanan:
Learning to Segment Rigid Motions from Two Frames. CoRR abs/2101.03694 (2021) - [i5]Gengshan Yang, Deqing Sun, Varun Jampani, Daniel Vlasic, Forrester Cole, Huiwen Chang, Deva Ramanan, William T. Freeman, Ce Liu:
LASR: Learning Articulated Shape Reconstruction from a Monocular Video. CoRR abs/2105.02976 (2021) - [i4]Jason Y. Zhang, Gengshan Yang, Shubham Tulsiani, Deva Ramanan:
NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wild. CoRR abs/2110.07604 (2021) - [i3]Gengshan Yang, Minh Vo, Natalia Neverova, Deva Ramanan, Andrea Vedaldi, Hanbyul Joo:
BANMo: Building Animatable 3D Neural Models from Many Casual Videos. CoRR abs/2112.12761 (2021) - 2020
- [j2]Chao Shen, Yufei Chen, Gengshan Yang, Xiaohong Guan:
Toward Hand-Dominated Activity Recognition Systems With Wristband-Interaction Behavior Analysis. IEEE Trans. Syst. Man Cybern. Syst. 50(7): 2501-2511 (2020) - [c5]Gengshan Yang, Deva Ramanan:
Upgrading Optical Flow to 3D Scene Flow Through Optical Expansion. CVPR 2020: 1331-1340
2010 – 2019
- 2019
- [c4]Gengshan Yang, Joshua Manela, Michael Happold, Deva Ramanan:
Hierarchical Deep Stereo Matching on High-Resolution Images. CVPR 2019: 5515-5524 - [c3]Gengshan Yang, Peiyun Hu, Deva Ramanan:
Inferring Distributions Over Depth from a Single Image. IROS 2019: 6090-6096 - [c2]Gengshan Yang, Deva Ramanan:
Volumetric Correspondence Networks for Optical Flow. NeurIPS 2019: 793-803 - [i2]Gengshan Yang, Peiyun Hu, Deva Ramanan:
Inferring Distributions Over Depth from a Single Image. CoRR abs/1912.06268 (2019) - [i1]Gengshan Yang, Joshua Manela, Michael Happold, Deva Ramanan:
Hierarchical Deep Stereo Matching on High-resolution Images. CoRR abs/1912.06704 (2019) - 2016
- [j1]Chao Shen, Tianwen Yu, Haodi Xu, Gengshan Yang, Xiaohong Guan:
User practice in password security: An empirical study of real-life passwords in the wild. Comput. Secur. 61: 130-141 (2016) - [c1]Chao Shen, Yufei Chen, Gengshan Yang:
On motion-sensor behavior analysis for human-activity recognition via smartphones. ISBA 2016: 1-6
Coauthor Index
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