Matt Feiszli

According to our database¹, Matt Feiszli authored at least 36 papers between 2007 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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In proceedings

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PhD thesis

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On csauthors.net:

Bibliography

2024

OmniPose6D: Towards Short-Term Object Pose Tracking in Dynamic Scenes from Monocular RGB.

[BibT_eX]

[DOI]

CoRR, 2024

3x2: 3D Object Part Segmentation by 2D Semantic Correspondences.

[BibT_eX]

[DOI]

CoRR, 2024

3˟ 2: 3D Object Part Segmentation by 2D Semantic Correspondences.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

ADen: Adaptive Density Representations for Sparse-View Camera Pose Estimation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Learning to Segment Referred Objects from Narrated Egocentric Videos.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

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[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

NOVIS: A Case for End-to-End Near-Online Video Instance Segmentation.

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[DOI]

CoRR, 2023

MINOTAUR: Multi-task Video Grounding From Multimodal Queries.

[BibT_eX]

[DOI]

CoRR, 2023

EgoTracks: A Long-term Egocentric Visual Object Tracking Dataset.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SiLK: Simple Learned Keypoints.

[BibT_eX]

[DOI]

Pierre Gleize

Weiyao Wang

Matt Feiszli

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

Self-Supervised Object Detection from Egocentric Videos.

[BibT_eX]

[DOI]

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

Relational Space-Time Query in Long-Form Videos.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinity.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Generic Event Boundary Detection: A Benchmark for Event Segmentation.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

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

PyTorchVideo: A Deep Learning Library for Video Understanding.

[BibT_eX]

[DOI]

Haoqi Fan

Tullie Murrell

Heng Wang

Kalyan Vasudev Alwala

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.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

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

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

FP-NAS: Fast Probabilistic Neural Architecture Search.

[BibT_eX]

[DOI]

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

2020

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

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Video Modeling With Correlation Networks.

[BibT_eX]

[DOI]

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

What Makes Training Multi-Modal Classification Networks Hard?

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

FASTER Recurrent Networks for Efficient Video Classification.

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[DOI]

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

2019

FASTER Recurrent Networks for Video Classification.

[BibT_eX]

[DOI]

CoRR, 2019

What Makes Training Multi-Modal Networks Hard?

[BibT_eX]

[DOI]

Weiyao Wang

Du Tran

Matt Feiszli

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Video Classification With Channel-Separated Convolutional Networks.

[BibT_eX]

[DOI]

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

2018

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

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

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

[BibT_eX]

[DOI]

Matt Feiszli

Akil Narayan

SIAM J. Imaging Sci., 2017

Latent Geometry and Memorization in Generative Models.

[BibT_eX]

[DOI]

Matt Feiszli

CoRR, 2017

2007

Shape representation via conformal mapping.

[BibT_eX]

[DOI]

Matt Feiszli

David Mumford

Proceedings of the Computational Imaging V, San Jose, 2007

Matt Feiszli

Timeline

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Links

On csauthors.net:

Bibliography

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