Shape representation via conformal mapping. - Matt Feiszli; David Mumford (Computational Imaging, 2007)

Latent Geometry and Memorization in Generative Models. - Matt Feiszli (CoRR, 2017)

Numerical Computation of Weil-Peterson Geodesics in the Universal Teichmüller Space. - Matt Feiszli; Akil Narayan 001 (SIAM J. Imaging Sci., 2017)

Scenes-Objects-Actions: A Multi-task, Multi-label Video Dataset. - Jamie Ray; Heng Wang; Du Tran; Yufei Wang; Matt Feiszli; Lorenzo Torresani; Manohar Paluri (ECCV (14), 2018)

Video Classification With Channel-Separated Convolutional Networks. - Du Tran; Heng Wang; Matt Feiszli; Lorenzo Torresani (ICCV, 2019)

Large-scale weakly-supervised pre-training for video action recognition. - Deepti Ghadiyaram; Matt Feiszli; Du Tran; Xueting Yan; Heng Wang; Dhruv Mahajan 001 (CoRR, 2019)

What Makes Training Multi-Modal Networks Hard? - Weiyao Wang 001; Du Tran; Matt Feiszli (CoRR, 2019)

FASTER Recurrent Networks for Video Classification. - Linchao Zhu; Laura Sevilla-Lara; Du Tran; Matt Feiszli; Yi Yang 001; Heng Wang (CoRR, 2019)

FASTER Recurrent Networks for Efficient Video Classification. - Linchao Zhu; Du Tran; Laura Sevilla-Lara; Yi Yang 001; Matt Feiszli; Heng Wang (AAAI, 2020)

Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias. - Krishna Kumar Singh; Dhruv Mahajan 001; Kristen Grauman; Yong Jae Lee; Matt Feiszli; Deepti Ghadiyaram (CVPR, 2020)

What Makes Training Multi-Modal Classification Networks Hard? - Weiyao Wang 001; Du Tran; Matt Feiszli (CVPR, 2020)

Video Modeling With Correlation Networks. - Heng Wang; Du Tran; Lorenzo Torresani; Matt Feiszli (CVPR, 2020)

SF-Net: Single-Frame Supervision for Temporal Action Localization. - Fan Ma; Linchao Zhu; Yi Yang 001; Shengxin Zha; Gourab Kundu; Matt Feiszli; Zheng Shou 001 (ECCV (4), 2020)

FP-NAS: Fast Probabilistic Neural Architecture Search. - Zhicheng Yan 001; Xiaoliang Dai; Peizhao Zhang; Yuandong Tian; Bichen Wu; Matt Feiszli (CVPR, 2021)

Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation. - Weiyao Wang 001; Matt Feiszli; Heng Wang; Du Tran (ICCV, 2021)

Searching for Two-Stream Models in Multivariate Space for Video Recognition. - Xinyu Gong; Heng Wang; Zheng Shou 001; Matt Feiszli; Zhangyang Wang; Zhicheng Yan 001 (ICCV, 2021)

Generic Event Boundary Detection: A Benchmark for Event Segmentation. - Mike Zheng Shou; Stan Weixian Lei; Weiyao Wang 001; Deepti Ghadiyaram; Matt Feiszli (ICCV, 2021)

PyTorchVideo: A Deep Learning Library for Video Understanding. - Haoqi Fan 001; Tullie Murrell; Heng Wang; Kalyan Vasudev Alwala; Yanghao Li; Yilei Li; Bo Xiong; Nikhila Ravi; Meng Li 004; Haichuan Yang; Jitendra Malik; Ross B. Girshick; et al. (ACM Multimedia, 2021)

Only Time Can Tell: Discovering Temporal Data for Temporal Modeling. - Laura Sevilla-Lara; Shengxin Zha; Zhicheng Yan 001; Vedanuj Goswami; Matt Feiszli; Lorenzo Torresani (WACV, 2021)

Generic Event Boundary Detection: A Benchmark for Event Segmentation. - Mike Zheng Shou; Deepti Ghadiyaram; Weiyao Wang 001; Matt Feiszli (CoRR, 2021)

Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinity. - Weiyao Wang 001; Matt Feiszli; Heng Wang; Jitendra Malik; Du Tran (CVPR, 2022)

GEB+: A Benchmark for Generic Event Boundary Captioning, Grounding and Retrieval. - Yuxuan Wang; Difei Gao; Licheng Yu; Weixian Lei; Matt Feiszli; Mike Zheng Shou (ECCV (35), 2022)

GEB+: A benchmark for generic event boundary captioning, grounding and text-based retrieval. - Yuxuan Wang; Difei Gao; Licheng Yu; Stan Weixian Lei; Matt Feiszli; Mike Zheng Shou (CoRR, 2022)

Relational Space-Time Query in Long-Form Videos. - Xitong Yang; Fu-Jen Chu; Matt Feiszli; Raghav Goyal; Lorenzo Torresani; Du Tran (CVPR, 2023)

Self-Supervised Object Detection from Egocentric Videos. - Peri Akiva; Jing Huang 020; Kevin J. Liang; Rama Kovvuri; Xingyu Chen; Matt Feiszli; Kristin J. Dana; Tal Hassner (ICCV, 2023)

SiLK: Simple Learned Keypoints. - Pierre Gleize; Weiyao Wang 001; Matt Feiszli (ICCV, 2023)

Object Reprojection Error (ORE): Camera pose benchmarks from lightweight tracking annotations. - Xingyu Chen; Weiyao Wang 001; Hao Tang; Matt Feiszli (NeurIPS, 2023)

EgoTracks: A Long-term Egocentric Visual Object Tracking Dataset. - Hao Tang; Kevin J. Liang; Kristen Grauman; Matt Feiszli; Weiyao Wang 001 (NeurIPS, 2023)

MINOTAUR: Multi-task Video Grounding From Multimodal Queries. - Raghav Goyal; Effrosyni Mavroudi; Xitong Yang; Sainbayar Sukhbaatar; Leonid Sigal; Matt Feiszli; Lorenzo Torresani; Du Tran (CoRR, 2023)

NOVIS: A Case for End-to-End Near-Online Video Instance Segmentation. - Tim Meinhardt; Matt Feiszli; Yuchen Fan; Laura Leal-Taixé; Rakesh Ranjan (CoRR, 2023)

ICON: Incremental CONfidence for Joint Pose and Radiance Field Optimization. - Weiyao Wang 001; Pierre Gleize; Hao Tang; Xingyu Chen; Kevin J. Liang; Matt Feiszli (CVPR, 2024)

Learning to Segment Referred Objects from Narrated Egocentric Videos. - Yuhan Shen; Huiyu Wang; Xitong Yang; Matt Feiszli; Ehsan Elhamifar; Lorenzo Torresani; Effrosyni Mavroudi (CVPR, 2024)

ADen: Adaptive Density Representations for Sparse-View Camera Pose Estimation. - Hao Tang; Weiyao Wang 001; Pierre Gleize; Matt Feiszli (ECCV (62), 2024)

3˟ 2: 3D Object Part Segmentation by 2D Semantic Correspondences. - Anh Thai; Weiyao Wang 001; Hao Tang; Stefan Stojanov; James M. Rehg; Matt Feiszli (ECCV (38), 2024)

3x2: 3D Object Part Segmentation by 2D Semantic Correspondences. - Anh Thai; Weiyao Wang 001; Hao Tang; Stefan Stojanov; Matt Feiszli; James M. Rehg (CoRR, 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 001; Hao Tang; Patricio A. Vela; Matt Feiszli; Kevin J. Liang (CoRR, 2024)

HOIGPT: Learning Long-Sequence Hand-Object Interaction with Language Models. - Mingzhen Huang; Fu-Jen Chu; Bugra Tekin; Kevin J. Liang; Haoyu Ma; Weiyao Wang 001; Xingyu Chen; Pierre Gleize; Hongfei Xue; Siwei Lyu; Kris Kitani; Matt Feiszli; et al. (CVPR, 2025)

Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Pass. - Jianing Yang; Alexander Sax; Kevin J. Liang; Mikael Henaff; Hao Tang; Ang Cao; Joyce Chai; Franziska Meier; Matt Feiszli (CVPR, 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 001; Zhiwen Fan (CoRR, 2025)

Token-Shuffle: Towards High-Resolution Image Generation with Autoregressive Models. - Xu Ma; Peize Sun; Haoyu Ma; Hao Tang; Chih-Yao Ma; Jialiang Wang 001; Kunpeng Li; Xiaoliang Dai; Yujun Shi; Xuan Ju; Yushi Hu; Artsiom Sanakoyeu; et al. (CoRR, 2025)

Multi-SpatialMLLM: Multi-Frame Spatial Understanding with Multi-Modal Large Language Models. - Runsen Xu; Weiyao Wang 001; Hao Tang; Xingyu Chen; Xiaodong Wang; Fu-Jen Chu; Dahua Lin; Matt Feiszli; Kevin J. Liang (CoRR, 2025)