Matt Feiszli

According to our database, Matt Feiszli authored at least 31 papers between 2007 and 2024.

Collaborative distances:

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

2024

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

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

CoRR, 2024

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

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

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

Self-Supervised Object Detection from Egocentric Videos.

Peri Akiva, Jing Huang, Kevin J. Liang, Rama Kovvuri, Xingyu Chen, Matt Feiszli, Kristin J. Dana, Tal Hassner

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

Relational Space-Time Query in Long-Form Videos.

Xitong Yang, Fu-Jen Chu, Matt Feiszli, Raghav Goyal, Lorenzo Torresani, Du Tran

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

GEB+: A Benchmark for Generic Event Boundary Captioning, Grounding and Retrieval.

Yuxuan Wang, Difei Gao, Licheng Yu, Weixian Lei, Matt Feiszli, Mike Zheng Shou

Proceedings of the Computer Vision - ECCV 2022, 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

Only Time Can Tell: Discovering Temporal Data for Temporal Modeling.

Laura Sevilla-Lara, Shengxin Zha, Zhicheng Yan, Vedanuj Goswami, Matt Feiszli, Lorenzo Torresani

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

PyTorchVideo: A Deep Learning Library for Video Understanding.

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

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 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

Searching for Two-Stream Models in Multivariate Space for Video Recognition.

Xinyu Gong, Heng Wang, Zheng Shou, Matt Feiszli, Zhangyang Wang, Zhicheng Yan

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

FP-NAS: Fast Probabilistic Neural Architecture Search.

Zhicheng Yan, Xiaoliang Dai, Peizhao Zhang, Yuandong Tian, Bichen Wu, Matt Feiszli

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

SF-Net: Single-Frame Supervision for Temporal Action Localization.

Fan Ma, Linchao Zhu, Yi Yang, Shengxin Zha, Gourab Kundu, Matt Feiszli, Zheng Shou

Proceedings of the Computer Vision - ECCV 2020, 2020

Video Modeling With Correlation Networks.

Heng Wang, Du Tran, Lorenzo Torresani, Matt Feiszli

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

Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias.

Krishna Kumar Singh, Dhruv Mahajan, Kristen Grauman, Yong Jae Lee, Matt Feiszli, Deepti Ghadiyaram

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

FASTER Recurrent Networks for Efficient Video Classification.

Linchao Zhu, Du Tran, Laura Sevilla-Lara, Yi Yang, Matt Feiszli, Heng Wang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

FASTER Recurrent Networks for Video Classification.

Linchao Zhu, Laura Sevilla-Lara, Du Tran, Matt Feiszli, Yi Yang, Heng Wang

CoRR, 2019

What Makes Training Multi-Modal Networks Hard?

Weiyao Wang, Du Tran, Matt Feiszli

CoRR, 2019

Large-scale weakly-supervised pre-training for video action recognition.

Deepti Ghadiyaram, Matt Feiszli, Du Tran, Xueting Yan, Heng Wang, Dhruv Mahajan

CoRR, 2019

Video Classification With Channel-Separated Convolutional Networks.

Du Tran, Heng Wang, Matt Feiszli, Lorenzo Torresani

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Scenes-Objects-Actions: A Multi-task, Multi-label Video Dataset.

Jamie Ray, Heng Wang, Du Tran, Yufei Wang, Matt Feiszli, Lorenzo Torresani, Manohar Paluri

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Numerical Computation of Weil-Peterson Geodesics in the Universal Teichmüller Space.

Matt Feiszli, Akil Narayan

SIAM J. Imaging Sci., 2017

Latent Geometry and Memorization in Generative Models.

Matt Feiszli

CoRR, 2017

2007

Shape representation via conformal mapping.

Matt Feiszli, David Mumford

Proceedings of the Computational Imaging V, San Jose, 2007