On motion-sensor behavior analysis for human-activity recognition via smartphones. - Chao Shen 001; Yufei Chen 001; Gengshan Yang (ISBA, 2016)

User practice in password security: An empirical study of real-life passwords in the wild. - Chao Shen 001; Tianwen Yu; Haodi Xu; Gengshan Yang; Xiaohong Guan (Comput. Secur., 2016)

Hierarchical Deep Stereo Matching on High-Resolution Images. - Gengshan Yang; Joshua Manela; Michael Happold; Deva Ramanan (CVPR, 2019)

Inferring Distributions Over Depth from a Single Image. - Gengshan Yang; Peiyun Hu; Deva Ramanan (IROS, 2019)

Volumetric Correspondence Networks for Optical Flow. - Gengshan Yang; Deva Ramanan (NeurIPS, 2019)

Upgrading Optical Flow to 3D Scene Flow Through Optical Expansion. - Gengshan Yang; Deva Ramanan (CVPR, 2020)

Toward Hand-Dominated Activity Recognition Systems With Wristband-Interaction Behavior Analysis. - Chao Shen 001; Yufei Chen 001; Gengshan Yang; Xiaohong Guan (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Learning To Segment Rigid Motions From Two Frames. - Gengshan Yang; Deva Ramanan (CVPR, 2021)

LASR: Learning Articulated Shape Reconstruction From a Monocular Video. - Gengshan Yang; Deqing Sun; Varun Jampani; Daniel Vlasic; Forrester Cole; Huiwen Chang; Deva Ramanan; William T. Freeman; Ce Liu 001 (CVPR, 2021)

ViSER: Video-Specific Surface Embeddings for Articulated 3D Shape Reconstruction. - Gengshan Yang; Deqing Sun; Varun Jampani; Daniel Vlasic; Forrester Cole; Ce Liu 001; Deva Ramanan (NeurIPS, 2021)

NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wild. - Jason Y. Zhang 001; Gengshan Yang; Shubham Tulsiani; Deva Ramanan (NeurIPS, 2021)

BANMo: Building Animatable 3D Neural Models from Many Casual Videos. - Gengshan Yang; Minh Vo; Natalia Neverova; Deva Ramanan; Andrea Vedaldi; Hanbyul Joo (CVPR, 2022)

3D-aware Conditional Image Synthesis. - Kangle Deng; Gengshan Yang; Deva Ramanan; Jun-Yan Zhu (CVPR, 2023)

Distilling Neural Fields for Real-Time Articulated Shape Reconstruction. - Jeff Tan; Gengshan Yang; Deva Ramanan (CVPR, 2023)

Reconstructing Animatable Categories from Videos. - Gengshan Yang; Chaoyang Wang 001; N. Dinesh Reddy; Deva Ramanan (CVPR, 2023)

Total-Recon: Deformable Scene Reconstruction for Embodied View Synthesis. - Chonghyuk Song; Gengshan Yang; Kangle Deng; Jun-Yan Zhu; Deva Ramanan (ICCV, 2023)

PPR: Physically Plausible Reconstruction from Monocular Videos. - Gengshan Yang; Shuo Yang; John Z. Zhang; Zachary Manchester; Deva Ramanan (ICCV, 2023)

SLoMo: A General System for Legged Robot Motion Imitation from Casual Videos. - John Z. Zhang; Shuo Yang; Gengshan Yang; Arun L. Bishop; Deva Ramanan; Zachary Manchester (CoRR, 2023)

Building 4D Models of Objects and Scenes from Monocular Videos - Gengshan Yang (2023)

SLoMo: A General System for Legged Robot Motion Imitation From Casual Videos. - John Z. Zhang; Shuo Yang; Gengshan Yang; Arun L. Bishop; Swaminathan Gurumurthy; Deva Ramanan; Zachary Manchester (IEEE Robotics Autom. Lett., 2023)

SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM. - Nikhil Varma Keetha; Jay Karhade; Krishna Murthy Jatavallabhula; Gengshan Yang; Sebastian A. Scherer; Deva Ramanan; Jonathon Luiten (CVPR, 2024)

Tactile DreamFusion: Exploiting Tactile Sensing for 3D Generation. - Ruihan Gao; Kangle Deng; Gengshan Yang; Wenzhen Yuan 001; Jun-Yan Zhu (NeurIPS, 2024)

DressRecon: Freeform 4D Human Reconstruction from Monocular Video. - Jeff Tan; Donglai Xiang; Shubham Tulsiani; Deva Ramanan; Gengshan Yang (CoRR, 2024)

Agent-to-Sim: Learning Interactive Behavior Models from Casual Longitudinal Videos. - Gengshan Yang; Andrea Bajcsy; Shunsuke Saito; Angjoo Kanazawa (ICLR, 2025)