Weiyao Wang

According to our database, Weiyao Wang authored at least 21 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Multi-SpatialMLLM: Multi-Frame Spatial Understanding with Multi-Modal Large Language Models.

Runsen Xu, Weiyao Wang, Hao Tang, Xingyu Chen, Xiaodong Wang, Fu-Jen Chu, Dahua Lin, Matt Feiszli, Kevin J. Liang

CoRR, May, 2025

VideoLifter: Lifting Videos to 3D with Fast Hierarchical Stereo Alignment.

Wenyan Cong, Kevin Wang, Jiahui Lei, Colton Stearns, Yuanhao Cai, Dilin Wang, Rakesh Ranjan, Matt Feiszli, Leonidas J. Guibas, Zhangyang Wang, Weiyao Wang, Zhiwen Fan

CoRR, January, 2025

HOIGPT: Learning Long-Sequence Hand-Object Interaction with Language Models.

Mingzhen Huang, Fu-Jen Chu, Bugra Tekin, Kevin J. Liang, Haoyu Ma, Weiyao Wang, Xingyu Chen, Pierre Gleize, Hongfei Xue, Siwei Lyu, Kris Kitani, Matt Feiszli, Hao Tang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

OmniPose6D: Towards Short-Term Object Pose Tracking in Dynamic Scenes from Monocular RGB.

Yunzhi Lin, Yipu Zhao, Fu-Jen Chu, Xingyu Chen, Weiyao Wang, Hao Tang, Patricio A. Vela, Matt Feiszli, Kevin J. Liang

CoRR, 2024

3x2: 3D Object Part Segmentation by 2D Semantic Correspondences.

Anh Thai, Weiyao Wang, Hao Tang, Stefan Stojanov, Matt Feiszli, James M. Rehg

CoRR, 2024

3˟ 2: 3D Object Part Segmentation by 2D Semantic Correspondences.

Anh Thai, Weiyao Wang, Hao Tang, Stefan Stojanov, James M. Rehg, Matt Feiszli

Proceedings of the Computer Vision - ECCV 2024, 2024

ADen: Adaptive Density Representations for Sparse-View Camera Pose Estimation.

Hao Tang, Weiyao Wang, Pierre Gleize, Matt Feiszli

Proceedings of the Computer Vision - ECCV 2024, 2024

Open-world Instance Segmentation: Top-down Learning with Bottom-up Supervision.

Tarun Kalluri, Weiyao Wang, Heng Wang, Manmohan Chandraker, Lorenzo Torresani, Du Tran

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

ICON: Incremental CONfidence for Joint Pose and Radiance Field Optimization.

Weiyao Wang, Pierre Gleize, Hao Tang, Xingyu Chen, Kevin J. Liang, Matt Feiszli

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

EgoTracks: A Long-term Egocentric Visual Object Tracking Dataset.

Hao Tang, Kevin J. Liang, Kristen Grauman, Matt Feiszli, Weiyao Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Object Reprojection Error (ORE): Camera pose benchmarks from lightweight tracking annotations.

Xingyu Chen, Weiyao Wang, Hao Tang, Matt Feiszli

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SiLK: Simple Learned Keypoints.

Pierre Gleize, Weiyao Wang, Matt Feiszli

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinity.

Weiyao Wang, Matt Feiszli, Heng Wang, Jitendra Malik, Du Tran

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Generic Event Boundary Detection: A Benchmark for Event Segmentation.

Mike Zheng Shou, Deepti Ghadiyaram, Weiyao Wang, Matt Feiszli

CoRR, 2021

Generic Event Boundary Detection: A Benchmark for Event Segmentation.

Mike Zheng Shou, Stan Weixian Lei, Weiyao Wang, Deepti Ghadiyaram, Matt Feiszli

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation.

Weiyao Wang, Matt Feiszli, Heng Wang, Du Tran

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

What Makes Training Multi-Modal Classification Networks Hard?

Weiyao Wang, Du Tran, Matt Feiszli

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

What Makes Training Multi-Modal Networks Hard?

Weiyao Wang, Du Tran, Matt Feiszli

CoRR, 2019

How You Act Tells a Lot: Privacy-Leakage Attack on Deep Reinforcement Learning.

Xinlei Pan, Weiyao Wang, Xiaoshuai Zhang, Bo Li, Jinfeng Yi, Dawn Song

CoRR, 2019

Stabilized SVRG: Simple Variance Reduction for Nonconvex Optimization.

Rong Ge, Zhize Li, Weiyao Wang, Xiang Wang

Proceedings of the Conference on Learning Theory, 2019

How You Act Tells a Lot: Privacy-Leaking Attack on Deep Reinforcement Learning.

Xinlei Pan, Weiyao Wang, Xiaoshuai Zhang, Bo Li, Jinfeng Yi, Dawn Song

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019