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/CVF International Conference on Computer Vision …, 2019
1052019
Large-scale weakly-supervised pre-training for video action recognition
D Ghadiyaram, D Tran, D Mahajan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
892019
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
212020
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
152020
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
112007
Faster recurrent networks for efficient video classification
L Zhu, D Tran, L Sevilla-Lara, Y Yang, M Feiszli, H Wang
Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 13098 …, 2020
102020
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
102017
Only time can tell: Discovering temporal data for temporal modeling
L Sevilla-Lara, S Zha, Z Yan, V Goswami, M Feiszli, L Torresani
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021
92021
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
82020
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
62014
Conformal shape representation
M Feiszli
Ph. D. Thesis, Division of Applied Mathematics, Brown University, 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
European Conference on Computer Vision, 420-437, 2020
52020
EXTREMAL DISTANCE, HYPERBOLIC DISTANCE, AND CONVEX HULLS OVER DOMAINS WITH SMOOTH BOUNDARY.
M Feiszli
Annales Academiae Scientiarum Fennicae. Mathematica 36 (2), 2011
42011
Approximately Covariant Convolutional Neural Networks
G Demisse, M Feiszli
N/A, 2021
2021
Generic Event Boundary Detection: A Benchmark for Event Segmentation
MZ Shou, D Ghadiyaram, W Wang, M Feiszli
arXiv preprint arXiv:2101.10511, 2021
2021
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
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Articles 1–20