Matt Feiszli
Title
Cited by
Cited by
Year
Video classification with channel-separated convolutional networks
D Tran, H Wang, L Torresani, M Feiszli
Proceedings of the IEEE International Conference on Computer Vision, 5552-5561, 2019
952019
Large-scale weakly-supervised pre-training for video action recognition
D Ghadiyaram, D Tran, D Mahajan
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
802019
What Makes Training Multi-Modal Classification Networks Hard?
W Wang, D Tran, M Feiszli
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
20*2020
Scenes-objects-actions: A multi-task, multi-label video dataset
J Ray, H Wang, D Tran, Y Wang, M Feiszli, L Torresani, M Paluri
Proceedings of the European Conference on Computer Vision (ECCV), 635-651, 2018
132018
Curve denoising by multiscale singularity detection and geometric shrinkage
M Feiszli, PW Jones
Applied and Computational Harmonic Analysis 31 (3), 392-409, 2011
122011
Shape representation via conformal mapping
M Feiszli, D Mumford
Computational Imaging V 6498, 64980G, 2007
102007
Video Modeling with Correlation Networks
H Wang, D Tran, L Torresani, M Feiszli
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
92020
Numerical Computation of Weil--Peterson Geodesics in the Universal Teichmüller Space
M Feiszli, A Narayan
SIAM Journal on Imaging Sciences 10 (3), 1322-1345, 2017
92017
Only Time Can Tell: Discovering Temporal Data for Temporal Modeling
L Sevilla-Lara, S Zha, Z Yan, V Goswami, M Feiszli, L Torresani
arXiv preprint arXiv:1907.08340, 2019
82019
Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias
KK Singh, D Mahajan, K Grauman, YJ Lee, M Feiszli, D Ghadiyaram
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
72020
Conformal shape representation
M Feiszli, D Mumford
Brown University, Providence, RI, 2008
62008
SF-Net: Single-Frame Supervision for Temporal Action Localization
F Ma, L Zhu, Y Yang, S Zha, G Kundu, M Feiszli, Z Shou
arXiv preprint arXiv:2003.06845, 2020
52020
FASTER Recurrent Networks for Efficient Video Classification.
L Zhu, D Tran, L Sevilla-Lara, Y Yang, M Feiszli, H Wang
AAAI, 13098-13105, 2020
52020
Faster recurrent networks for video classification
L Zhu, L Sevilla-Lara, D Tran, M Feiszli, Y Yang, H Wang
arXiv preprint arXiv:1906.04226 2, 2019
42019
Metric spaces of shapes and applications: compression, curve matching and low-dimensional representation
M Feiszli, S Kushnarev, K Leonard
Geometry, Imaging and Computing 1 (2), 173-221, 2014
42014
EXTREMAL DISTANCE, HYPERBOLIC DISTANCE, AND CONVEX HULLS OVER DOMAINS WITH SMOOTH BOUNDARY.
M Feiszli
Annales Academiae Scientiarum Fennicae. Mathematica 36 (2), 2011
42011
FP-NAS: Fast Probabilistic Neural Architecture Search
Z Yan, X Dai, P Zhang, Y Tian, B Wu, M Feiszli
arXiv preprint arXiv:2011.10949, 2020
2020
HARMONIC MEASURE, EXTREMAL DISTANCE, AND HYPERBOLIC METRICS IN SMOOTH DOMAINS
M FEISZLI
2008
THE DIFFERENTIAL GEOMETRY OF SMOOTH CONVEX HULL BOUNDARIES
M FEISZLI
2008
Metric spaces of shapes and applications: compression, curve matching and low-dimensional representation
K Leonard, M Feiszli
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Articles 1–20