Matt Feiszli

60 papers A* 20A 2Journal 32Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
SAM 3D Body: Robust Full-Body Human Mesh Recovery.
CoRR
Xitong Yang, Devansh Kukreja, Don Pinkus, Anushka Sagar, Taosha Fan, Jinhyung Park, Soyong Shin, Jinkun Cao, Jiawei Liu, Nicolas Ugrinovic, Matt Feiszli, Jitendra Malik, Piotr Dollar, Kris Kitani
2025 A* conf
Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Pass.
CVPR
Jianing Yang, Alexander Sax, Kevin J. Liang, Mikael Henaff, Hao Tang, Ang Cao, Joyce Chai, Franziska Meier, Matt Feiszli
2025 J jnl
Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Pass.
CoRR
Jianing Yang, Alexander Sax, Kevin J. Liang, Mikael Henaff, Hao Tang, Ang Cao, Joyce Chai, Franziska Meier, Matt Feiszli
2025 J jnl
HOIGPT: Learning Long Sequence Hand-Object Interaction with Language Models.
CoRR
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
2025 A* conf
HOIGPT: Learning Long-Sequence Hand-Object Interaction with Language Models.
CVPR
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
2025 J jnl
Multi-SpatialMLLM: Multi-Frame Spatial Understanding with Multi-Modal Large Language Models.
CoRR
Runsen Xu, Weiyao Wang, Hao Tang, Xingyu Chen, Xiaodong Wang, Fu-Jen Chu, Dahua Lin, Matt Feiszli, Kevin J. Liang
2025 A conf
OmniPose6D: Towards Short-Term Object Pose Tracking in Dynamic Scenes from Monocular RGB.
IROS
Yunzhi Lin, Yipu Zhao, Fu-Jen Chu, Xingyu Chen, Weiyao Wang, Hao Tang, Patricio A. Vela, Matt Feiszli, Kevin J. Liang
2025 J jnl
SAM 3D: 3Dfy Anything in Images.
CoRR
SAM 3D Team, Xingyu Chen, Fu-Jen Chu, Pierre Gleize, Kevin J. Liang, Alexander Sax, Hao Tang, Weiyao Wang, Michelle Guo, Thibaut Hardin, Xiang Li, Aohan Lin, Jiawei Liu, Ziqi Ma, Anushka Sagar, Bowen Song, Xiaodong Wang, Jianing Yang, Bowen Zhang, Piotr Dollár, Georgia Gkioxari, Matt Feiszli, Jitendra Malik
2025 J jnl
Token-Shuffle: Towards High-Resolution Image Generation with Autoregressive Models.
CoRR
Xu Ma, Peize Sun, Haoyu Ma, Hao Tang, Chih-Yao Ma, Jialiang Wang, Kunpeng Li, Xiaoliang Dai, Yujun Shi, Xuan Ju, Yushi Hu, Artsiom Sanakoyeu, Felix Juefei-Xu, Ji Hou, Junjiao Tian, Tao Xu, Tingbo Hou, Yen-Cheng Liu, Zecheng He, Zijian He, Matt Feiszli, Peizhao Zhang, Peter Vajda, Sam S. Tsai, Yun Fu
2025 J jnl
VideoLifter: Lifting Videos to 3D with Fast Hierarchical Stereo Alignment.
CoRR
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
2024 J jnl
3x2: 3D Object Part Segmentation by 2D Semantic Correspondences.
CoRR
Anh Thai, Weiyao Wang, Hao Tang, Stefan Stojanov, Matt Feiszli, James M. Rehg
2024 — conf
3˟ 2: 3D Object Part Segmentation by 2D Semantic Correspondences.
ECCV (38)
Anh Thai, Weiyao Wang, Hao Tang, Stefan Stojanov, James M. Rehg, Matt Feiszli
2024 — conf
ADen: Adaptive Density Representations for Sparse-View Camera Pose Estimation.
ECCV (62)
Hao Tang, Weiyao Wang, Pierre Gleize, Matt Feiszli
2024 J jnl
ADen: Adaptive Density Representations for Sparse-view Camera Pose Estimation.
CoRR
Hao Tang, Weiyao Wang, Pierre Gleize, Matt Feiszli
2024 A* conf
ICON: Incremental CONfidence for Joint Pose and Radiance Field Optimization.
CVPR
Weiyao Wang, Pierre Gleize, Hao Tang, Xingyu Chen, Kevin J. Liang, Matt Feiszli
2024 J jnl
ICON: Incremental CONfidence for Joint Pose and Radiance Field Optimization.
CoRR
Weiyao Wang, Pierre Gleize, Hao Tang, Xingyu Chen, Kevin J. Liang, Matt Feiszli
2024 A* conf
Learning to Segment Referred Objects from Narrated Egocentric Videos.
CVPR
Yuhan Shen, Huiyu Wang, Xitong Yang, Matt Feiszli, Ehsan Elhamifar, Lorenzo Torresani, Effrosyni Mavroudi
2024 J jnl
OmniPose6D: Towards Short-Term Object Pose Tracking in Dynamic Scenes from Monocular RGB.
CoRR
Yunzhi Lin, Yipu Zhao, Fu-Jen Chu, Xingyu Chen, Weiyao Wang, Hao Tang, Patricio A. Vela, Matt Feiszli, Kevin J. Liang
2023 A* conf
EgoTracks: A Long-term Egocentric Visual Object Tracking Dataset.
NeurIPS
Hao Tang, Kevin J. Liang, Kristen Grauman, Matt Feiszli, Weiyao Wang
2023 J jnl
EgoTracks: A Long-term Egocentric Visual Object Tracking Dataset.
CoRR
Hao Tang, Kevin J. Liang, Kristen Grauman, Matt Feiszli, Weiyao Wang
2023 J jnl
MINOTAUR: Multi-task Video Grounding From Multimodal Queries.
CoRR
Raghav Goyal, Effrosyni Mavroudi, Xitong Yang, Sainbayar Sukhbaatar, Leonid Sigal, Matt Feiszli, Lorenzo Torresani, Du Tran
2023 J jnl
NOVIS: A Case for End-to-End Near-Online Video Instance Segmentation.
CoRR
Tim Meinhardt, Matt Feiszli, Yuchen Fan, Laura Leal-Taixé, Rakesh Ranjan
2023 A* conf
Object Reprojection Error (ORE): Camera pose benchmarks from lightweight tracking annotations.
NeurIPS
Xingyu Chen, Weiyao Wang, Hao Tang, Matt Feiszli
2023 A* conf
Relational Space-Time Query in Long-Form Videos.
CVPR
Xitong Yang, Fu-Jen Chu, Matt Feiszli, Raghav Goyal, Lorenzo Torresani, Du Tran
2023 A* conf
Self-Supervised Object Detection from Egocentric Videos.
ICCV
Peri Akiva, Jing Huang, Kevin J. Liang, Rama Kovvuri, Xingyu Chen, Matt Feiszli, Kristin J. Dana, Tal Hassner
2023 J jnl
SiLK - Simple Learned Keypoints.
CoRR
Pierre Gleize, Weiyao Wang, Matt Feiszli
2023 A* conf
SiLK: Simple Learned Keypoints.
ICCV
Pierre Gleize, Weiyao Wang, Matt Feiszli
2022 — conf
GEB+: A Benchmark for Generic Event Boundary Captioning, Grounding and Retrieval.
ECCV (35)
Yuxuan Wang, Difei Gao, Licheng Yu, Weixian Lei, Matt Feiszli, Mike Zheng Shou
2022 J jnl
GEB+: A benchmark for generic event boundary captioning, grounding and text-based retrieval.
CoRR
Yuxuan Wang, Difei Gao, Licheng Yu, Stan Weixian Lei, Matt Feiszli, Mike Zheng Shou
2022 A* conf
Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinity.
CVPR
Weiyao Wang, Matt Feiszli, Heng Wang, Jitendra Malik, Du Tran
2022 J jnl
Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinity.
CoRR
Weiyao Wang, Matt Feiszli, Heng Wang, Jitendra Malik, Du Tran
2021 A* conf
FP-NAS: Fast Probabilistic Neural Architecture Search.
CVPR
Zhicheng Yan, Xiaoliang Dai, Peizhao Zhang, Yuandong Tian, Bichen Wu, Matt Feiszli
2021 A* conf
Generic Event Boundary Detection: A Benchmark for Event Segmentation.
ICCV
Mike Zheng Shou, Stan Weixian Lei, Weiyao Wang, Deepti Ghadiyaram, Matt Feiszli
2021 J jnl
Generic Event Boundary Detection: A Benchmark for Event Segmentation.
CoRR
Mike Zheng Shou, Deepti Ghadiyaram, Weiyao Wang, Matt Feiszli
2021 A conf
Only Time Can Tell: Discovering Temporal Data for Temporal Modeling.
WACV
Laura Sevilla-Lara, Shengxin Zha, Zhicheng Yan, Vedanuj Goswami, Matt Feiszli, Lorenzo Torresani
2021 A* conf
PyTorchVideo: A Deep Learning Library for Video Understanding.
ACM Multimedia
Haoqi Fan, Tullie Murrell, Heng Wang, Kalyan Vasudev Alwala, Yanghao Li, Yilei Li, Bo Xiong, Nikhila Ravi, Meng Li, Haichuan Yang, Jitendra Malik, Ross B. Girshick, Matt Feiszli, Aaron Adcock, Wan-Yen Lo, Christoph Feichtenhofer
2021 J jnl
PyTorchVideo: A Deep Learning Library for Video Understanding.
CoRR
Haoqi Fan, Tullie Murrell, Heng Wang, Kalyan Vasudev Alwala, Yanghao Li, Yilei Li, Bo Xiong, Nikhila Ravi, Meng Li, Haichuan Yang, Jitendra Malik, Ross B. Girshick, Matt Feiszli, Aaron Adcock, Wan-Yen Lo, Christoph Feichtenhofer
2021 A* conf
Searching for Two-Stream Models in Multivariate Space for Video Recognition.
ICCV
Xinyu Gong, Heng Wang, Zheng Shou, Matt Feiszli, Zhangyang Wang, Zhicheng Yan
2021 J jnl
Searching for Two-Stream Models in Multivariate Space for Video Recognition.
CoRR
Xinyu Gong, Heng Wang, Zheng Shou, Matt Feiszli, Zhangyang Wang, Zhicheng Yan
2021 A* conf
Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation.
ICCV
Weiyao Wang, Matt Feiszli, Heng Wang, Du Tran
2021 J jnl
Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation.
CoRR
Weiyao Wang, Matt Feiszli, Heng Wang, Du Tran
2020 A* conf
Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias.
CVPR
Krishna Kumar Singh, Dhruv Mahajan, Kristen Grauman, Yong Jae Lee, Matt Feiszli, Deepti Ghadiyaram
2020 J jnl
Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias.
CoRR
Krishna Kumar Singh, Dhruv Mahajan, Kristen Grauman, Yong Jae Lee, Matt Feiszli, Deepti Ghadiyaram
2020 A* conf
FASTER Recurrent Networks for Efficient Video Classification.
AAAI
Linchao Zhu, Du Tran, Laura Sevilla-Lara, Yi Yang, Matt Feiszli, Heng Wang
2020 J jnl
FP-NAS: Fast Probabilistic Neural Architecture Search.
CoRR
Zhicheng Yan, Xiaoliang Dai, Peizhao Zhang, Yuandong Tian, Bichen Wu, Matt Feiszli
2020 — conf
SF-Net: Single-Frame Supervision for Temporal Action Localization.
ECCV (4)
Fan Ma, Linchao Zhu, Yi Yang, Shengxin Zha, Gourab Kundu, Matt Feiszli, Zheng Shou
2020 J jnl
SF-Net: Single-Frame Supervision for Temporal Action Localization.
CoRR
Fan Ma, Linchao Zhu, Yi Yang, Shengxin Zha, Gourab Kundu, Matt Feiszli, Zheng Shou
2020 A* conf
Video Modeling With Correlation Networks.
CVPR
Heng Wang, Du Tran, Lorenzo Torresani, Matt Feiszli
2020 A* conf
What Makes Training Multi-Modal Classification Networks Hard?
CVPR
Weiyao Wang, Du Tran, Matt Feiszli
2019 J jnl
FASTER Recurrent Networks for Video Classification.
CoRR
Linchao Zhu, Laura Sevilla-Lara, Du Tran, Matt Feiszli, Yi Yang, Heng Wang
2019 J jnl
Large-scale weakly-supervised pre-training for video action recognition.
CoRR
Deepti Ghadiyaram, Matt Feiszli, Du Tran, Xueting Yan, Heng Wang, Dhruv Mahajan
2019 J jnl
Only Time Can Tell: Discovering Temporal Data for Temporal Modeling.
CoRR
Laura Sevilla-Lara, Shengxin Zha, Zhicheng Yan, Vedanuj Goswami, Matt Feiszli, Lorenzo Torresani
2019 A* conf
Video Classification With Channel-Separated Convolutional Networks.
ICCV
Du Tran, Heng Wang, Matt Feiszli, Lorenzo Torresani
2019 J jnl
Video Classification with Channel-Separated Convolutional Networks.
CoRR
Du Tran, Heng Wang, Lorenzo Torresani, Matt Feiszli
2019 J jnl
Video Modeling with Correlation Networks.
CoRR
Heng Wang, Du Tran, Lorenzo Torresani, Matt Feiszli
2019 J jnl
What Makes Training Multi-Modal Networks Hard?
CoRR
Weiyao Wang, Du Tran, Matt Feiszli
2018 — conf
Scenes-Objects-Actions: A Multi-task, Multi-label Video Dataset.
ECCV (14)
Jamie Ray, Heng Wang, Du Tran, Yufei Wang, Matt Feiszli, Lorenzo Torresani, Manohar Paluri
2017 J jnl
Latent Geometry and Memorization in Generative Models.
CoRR
Matt Feiszli
2017 J jnl
Numerical Computation of Weil-Peterson Geodesics in the Universal Teichmüller Space.
SIAM J. Imaging Sci.
Matt Feiszli, Akil Narayan
2007 — conf
Shape representation via conformal mapping.
Computational Imaging
Matt Feiszli, David Mumford