Matt Feiszli

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 43

Top Topics

Video Classification

Top Venues

Publications

Weiyao Wang, Pierre Gleize, Hao Tang, Xingyu Chen, Kevin J. Liang, Matt Feiszli
ICON: Incremental CONfidence for Joint Pose and Radiance Field Optimization. CoRR (2024)
Anh Thai, Weiyao Wang, Hao Tang, Stefan Stojanov, Matt Feiszli, James M. Rehg
3x2: 3D Object Part Segmentation by 2D Semantic Correspondences. CoRR (2024)
Peri Akiva, Jing Huang, Kevin J. Liang, Rama Kovvuri, Xingyu Chen, Matt Feiszli, Kristin J. Dana, Tal Hassner
Self-Supervised Object Detection from Egocentric Videos. ICCV (2023)
Xitong Yang, Fu-Jen Chu, Matt Feiszli, Raghav Goyal, Lorenzo Torresani, Du Tran
Relational Space-Time Query in Long-Form Videos. CVPR (2023)
Pierre Gleize, Weiyao Wang, Matt Feiszli
SiLK: Simple Learned Keypoints. ICCV (2023)
Pierre Gleize, Weiyao Wang, Matt Feiszli
SiLK - Simple Learned Keypoints. CoRR (2023)
Xingyu Chen, Weiyao Wang, Hao Tang, Matt Feiszli
Object Reprojection Error (ORE): Camera pose benchmarks from lightweight tracking annotations. NeurIPS (2023)
Hao Tang, Kevin J. Liang, Kristen Grauman, Matt Feiszli, Weiyao Wang
EgoTracks: A Long-term Egocentric Visual Object Tracking Dataset. NeurIPS (2023)
Hao Tang, Kevin Liang, Kristen Grauman, Matt Feiszli, Weiyao Wang
EgoTracks: A Long-term Egocentric Visual Object Tracking Dataset. CoRR (2023)
Tim Meinhardt, Matt Feiszli, Yuchen Fan, Laura Leal-Taixé, Rakesh Ranjan
NOVIS: A Case for End-to-End Near-Online Video Instance Segmentation. CoRR (2023)
Raghav Goyal, Effrosyni Mavroudi, Xitong Yang, Sainbayar Sukhbaatar, Leonid Sigal, Matt Feiszli, Lorenzo Torresani, Du Tran
MINOTAUR: Multi-task Video Grounding From Multimodal Queries. CoRR (2023)
Weiyao Wang, Matt Feiszli, Heng Wang, Jitendra Malik, Du Tran
Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinity. CoRR (2022)
Weiyao Wang, Matt Feiszli, Heng Wang, Jitendra Malik, Du Tran
Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinity. CVPR (2022)
Yuxuan Wang, Difei Gao, Licheng Yu, Weixian Lei, Matt Feiszli, Mike Zheng Shou
GEB+: A Benchmark for Generic Event Boundary Captioning, Grounding and Retrieval. ECCV (35) (2022)
Yuxuan Wang, Difei Gao, Licheng Yu, Stan Weixian Lei, Matt Feiszli, Mike Zheng Shou
GEB+: A benchmark for generic event boundary captioning, grounding and text-based retrieval. CoRR (2022)
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
PyTorchVideo: A Deep Learning Library for Video Understanding. ACM Multimedia (2021)
Zhicheng Yan, Xiaoliang Dai, Peizhao Zhang, Yuandong Tian, Bichen Wu, Matt Feiszli
FP-NAS: Fast Probabilistic Neural Architecture Search. CVPR (2021)
Mike Zheng Shou, Deepti Ghadiyaram, Weiyao Wang, Matt Feiszli
Generic Event Boundary Detection: A Benchmark for Event Segmentation. CoRR (2021)
Weiyao Wang, Matt Feiszli, Heng Wang, Du Tran
Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation. CoRR (2021)
Xinyu Gong, Heng Wang, Zheng Shou, Matt Feiszli, Zhangyang Wang, Zhicheng Yan
Searching for Two-Stream Models in Multivariate Space for Video Recognition. ICCV (2021)
Laura Sevilla-Lara, Shengxin Zha, Zhicheng Yan, Vedanuj Goswami, Matt Feiszli, Lorenzo Torresani
Only Time Can Tell: Discovering Temporal Data for Temporal Modeling. WACV (2021)
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
PyTorchVideo: A Deep Learning Library for Video Understanding. CoRR (2021)
Xinyu Gong, Heng Wang, Zheng Shou, Matt Feiszli, Zhangyang Wang, Zhicheng Yan
Searching for Two-Stream Models in Multivariate Space for Video Recognition. CoRR (2021)
Weiyao Wang, Matt Feiszli, Heng Wang, Du Tran
Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation. ICCV (2021)
Mike Zheng Shou, Stan Weixian Lei, Weiyao Wang, Deepti Ghadiyaram, Matt Feiszli
Generic Event Boundary Detection: A Benchmark for Event Segmentation. ICCV (2021)
Heng Wang, Du Tran, Lorenzo Torresani, Matt Feiszli
Video Modeling With Correlation Networks. CVPR (2020)
Linchao Zhu, Du Tran, Laura Sevilla-Lara, Yi Yang, Matt Feiszli, Heng Wang
FASTER Recurrent Networks for Efficient Video Classification. AAAI (2020)
Zhicheng Yan, Xiaoliang Dai, Peizhao Zhang, Yuandong Tian, Bichen Wu, Matt Feiszli
FP-NAS: Fast Probabilistic Neural Architecture Search. CoRR (2020)
Weiyao Wang, Du Tran, Matt Feiszli
What Makes Training Multi-Modal Classification Networks Hard? CVPR (2020)
Fan Ma, Linchao Zhu, Yi Yang, Shengxin Zha, Gourab Kundu, Matt Feiszli, Zheng Shou
SF-Net: Single-Frame Supervision for Temporal Action Localization. CoRR (2020)
Fan Ma, Linchao Zhu, Yi Yang, Shengxin Zha, Gourab Kundu, Matt Feiszli, Zheng Shou
SF-Net: Single-Frame Supervision for Temporal Action Localization. ECCV (4) (2020)
Krishna Kumar Singh, Dhruv Mahajan, Kristen Grauman, Yong Jae Lee, Matt Feiszli, Deepti Ghadiyaram
Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias. CVPR (2020)
Krishna Kumar Singh, Dhruv Mahajan, Kristen Grauman, Yong Jae Lee, Matt Feiszli, Deepti Ghadiyaram
Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias. CoRR (2020)
Laura Sevilla-Lara, Shengxin Zha, Zhicheng Yan, Vedanuj Goswami, Matt Feiszli, Lorenzo Torresani
Only Time Can Tell: Discovering Temporal Data for Temporal Modeling. CoRR (2019)
Linchao Zhu, Laura Sevilla-Lara, Du Tran, Matt Feiszli, Yi Yang, Heng Wang
FASTER Recurrent Networks for Video Classification. CoRR (2019)
Du Tran, Heng Wang, Matt Feiszli, Lorenzo Torresani
Video Classification With Channel-Separated Convolutional Networks. ICCV (2019)
Deepti Ghadiyaram, Matt Feiszli, Du Tran, Xueting Yan, Heng Wang, Dhruv Mahajan
Large-scale weakly-supervised pre-training for video action recognition. CoRR (2019)
Weiyao Wang, Du Tran, Matt Feiszli
What Makes Training Multi-Modal Networks Hard? CoRR (2019)
Heng Wang, Du Tran, Lorenzo Torresani, Matt Feiszli
Video Modeling with Correlation Networks. CoRR (2019)
Du Tran, Heng Wang, Lorenzo Torresani, Matt Feiszli
Video Classification with Channel-Separated Convolutional Networks. CoRR (2019)
Jamie Ray, Heng Wang, Du Tran, Yufei Wang, Matt Feiszli, Lorenzo Torresani, Manohar Paluri
Scenes-Objects-Actions: A Multi-task, Multi-label Video Dataset. ECCV (14) (2018)
Matt Feiszli, Akil Narayan
Numerical Computation of Weil-Peterson Geodesics in the Universal Teichmüller Space. SIAM J. Imaging Sci. 10 (3) (2017)
Matt Feiszli
Latent Geometry and Memorization in Generative Models. CoRR (2017)
Matt Feiszli, David Mumford
Shape representation via conformal mapping. Computational Imaging (2007)