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2020 – today
- 2024
[c24]Weiyao Wang, Pierre Gleize, Hao Tang, Xingyu Chen, Kevin J. Liang, Matt Feiszli:
ICON: Incremental CONfidence for Joint Pose and Radiance Field Optimization. CVPR 2024: 5406-5417- [c23]Yuhan Shen, Huiyu Wang, Xitong Yang, Matt Feiszli, Ehsan Elhamifar, Lorenzo Torresani, Effrosyni Mavroudi:
Learning to Segment Referred Objects from Narrated Egocentric Videos. CVPR 2024: 14510-14520 - [c22]Anh Thai, Weiyao Wang, Hao Tang, Stefan Stojanov, James M. Rehg, Matt Feiszli:
3˟ 2: 3D Object Part Segmentation by 2D Semantic Correspondences. ECCV (38) 2024: 149-166 - [i23]Weiyao Wang, Pierre Gleize, Hao Tang, Xingyu Chen, Kevin J. Liang, Matt Feiszli:
ICON: Incremental CONfidence for Joint Pose and Radiance Field Optimization. CoRR abs/2401.08937 (2024) - [i22]Anh Thai, Weiyao Wang, Hao Tang, Stefan Stojanov, Matt Feiszli, James M. Rehg:
3x2: 3D Object Part Segmentation by 2D Semantic Correspondences. CoRR abs/2407.09648 (2024) - [i21]Hao Tang, Weiyao Wang, Pierre Gleize, Matt Feiszli:
ADen: Adaptive Density Representations for Sparse-view Camera Pose Estimation. CoRR abs/2408.09042 (2024) - 2023
- [c21]Xitong Yang, Fu-Jen Chu, Matt Feiszli, Raghav Goyal, Lorenzo Torresani, Du Tran:
Relational Space-Time Query in Long-Form Videos. CVPR 2023: 6398-6408 - [c20]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: 5202-5214 - [c19]Pierre Gleize, Weiyao Wang, Matt Feiszli:
SiLK: Simple Learned Keypoints. ICCV 2023: 22442-22451 - [c18]Xingyu Chen, Weiyao Wang, Hao Tang, Matt Feiszli:
Object Reprojection Error (ORE): Camera pose benchmarks from lightweight tracking annotations. NeurIPS 2023 - [c17]Hao Tang, Kevin J. Liang, Kristen Grauman, Matt Feiszli, Weiyao Wang:
EgoTracks: A Long-term Egocentric Visual Object Tracking Dataset. NeurIPS 2023 - [i20]Hao Tang, Kevin J. Liang, Kristen Grauman, Matt Feiszli, Weiyao Wang:
EgoTracks: A Long-term Egocentric Visual Object Tracking Dataset. CoRR abs/2301.03213 (2023) - [i19]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 abs/2302.08063 (2023) - [i18]Pierre Gleize, Weiyao Wang, Matt Feiszli:
SiLK - Simple Learned Keypoints. CoRR abs/2304.06194 (2023) - [i17]Tim Meinhardt, Matt Feiszli, Yuchen Fan, Laura Leal-Taixé, Rakesh Ranjan:
NOVIS: A Case for End-to-End Near-Online Video Instance Segmentation. CoRR abs/2308.15266 (2023) - 2022
- [c16]Weiyao Wang, Matt Feiszli, Heng Wang, Jitendra Malik, Du Tran:
Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinity. CVPR 2022: 4412-4422 - [c15]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: 709-725 - [i16]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 abs/2204.00486 (2022) - [i15]Weiyao Wang, Matt Feiszli, Heng Wang, Jitendra Malik, Du Tran:
Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinity. CoRR abs/2204.06107 (2022) - 2021
- [c14]Zhicheng Yan, Xiaoliang Dai, Peizhao Zhang, Yuandong Tian, Bichen Wu, Matt Feiszli:
FP-NAS: Fast Probabilistic Neural Architecture Search. CVPR 2021: 15139-15148 - [c13]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: 8013-8022 - [c12]Mike Zheng Shou, Stan Weixian Lei, Weiyao Wang, Deepti Ghadiyaram, Matt Feiszli:
Generic Event Boundary Detection: A Benchmark for Event Segmentation. ICCV 2021: 8055-8064 - [c11]Weiyao Wang, Matt Feiszli, Heng Wang, Du Tran:
Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation. ICCV 2021: 10756-10765 - [c10]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: 3783-3786 - [c9]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: 535-544 - [i14]Mike Zheng Shou, Deepti Ghadiyaram, Weiyao Wang, Matt Feiszli:
Generic Event Boundary Detection: A Benchmark for Event Segmentation. CoRR abs/2101.10511 (2021) - [i13]Weiyao Wang, Matt Feiszli, Heng Wang, Du Tran:
Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation. CoRR abs/2104.04691 (2021) - [i12]Xinyu Gong, Heng Wang, Zheng Shou, Matt Feiszli, Zhangyang Wang, Zhicheng Yan:
Searching for Two-Stream Models in Multivariate Space for Video Recognition. CoRR abs/2108.12957 (2021) - [i11]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 abs/2111.09887 (2021) - 2020
- [c8]Linchao Zhu, Du Tran, Laura Sevilla-Lara, Yi Yang, Matt Feiszli, Heng Wang:
FASTER Recurrent Networks for Efficient Video Classification. AAAI 2020: 13098-13105 - [c7]Heng Wang, Du Tran, Lorenzo Torresani, Matt Feiszli:
Video Modeling With Correlation Networks. CVPR 2020: 349-358 - [c6]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: 11067-11075 - [c5]Weiyao Wang, Du Tran, Matt Feiszli:
What Makes Training Multi-Modal Classification Networks Hard? CVPR 2020: 12692-12702 - [c4]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: 420-437 - [i10]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 abs/2001.03152 (2020) - [i9]Fan Ma, Linchao Zhu, Yi Yang, Shengxin Zha, Gourab Kundu, Matt Feiszli, Zheng Shou:
SF-Net: Single-Frame Supervision for Temporal Action Localization. CoRR abs/2003.06845 (2020) - [i8]Zhicheng Yan, Xiaoliang Dai, Peizhao Zhang, Yuandong Tian, Bichen Wu, Matt Feiszli:
FP-NAS: Fast Probabilistic Neural Architecture Search. CoRR abs/2011.10949 (2020)
2010 – 2019
- 2019
- [c3]Du Tran, Heng Wang, Matt Feiszli, Lorenzo Torresani:
Video Classification With Channel-Separated Convolutional Networks. ICCV 2019: 5551-5560 - [i7]Du Tran, Heng Wang, Lorenzo Torresani, Matt Feiszli:
Video Classification with Channel-Separated Convolutional Networks. CoRR abs/1904.02811 (2019) - [i6]Deepti Ghadiyaram, Matt Feiszli, Du Tran, Xueting Yan, Heng Wang, Dhruv Mahajan:
Large-scale weakly-supervised pre-training for video action recognition. CoRR abs/1905.00561 (2019) - [i5]Weiyao Wang, Du Tran, Matt Feiszli:
What Makes Training Multi-Modal Networks Hard? CoRR abs/1905.12681 (2019) - [i4]Heng Wang, Du Tran, Lorenzo Torresani, Matt Feiszli:
Video Modeling with Correlation Networks. CoRR abs/1906.03349 (2019) - [i3]Linchao Zhu, Laura Sevilla-Lara, Du Tran, Matt Feiszli, Yi Yang, Heng Wang:
FASTER Recurrent Networks for Video Classification. CoRR abs/1906.04226 (2019) - [i2]Laura Sevilla-Lara, Shengxin Zha, Zhicheng Yan, Vedanuj Goswami, Matt Feiszli, Lorenzo Torresani:
Only Time Can Tell: Discovering Temporal Data for Temporal Modeling. CoRR abs/1907.08340 (2019) - 2018
- [c2]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: 660-676 - 2017
- [j1]Matt Feiszli, Akil Narayan:
Numerical Computation of Weil-Peterson Geodesics in the Universal Teichmüller Space. SIAM J. Imaging Sci. 10(3): 1322-1345 (2017) - [i1]Matt Feiszli:
Latent Geometry and Memorization in Generative Models. CoRR abs/1705.09303 (2017)
2000 – 2009
- 2007
- [c1]Matt Feiszli, David Mumford:
Shape representation via conformal mapping. Computational Imaging 2007: 64980G
Coauthor Index
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last updated on 2024-10-11 18:22 CEST by the dblp team
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