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Tonmoy Saikia
Tonmoy Saikia
University of Freiburg
Verified email at cs.uni-freiburg.de - Homepage
Title
Cited by
Cited by
Year
Flownet 2.0: Evolution of optical flow estimation with deep networks
E Ilg, N Mayer, T Saikia, M Keuper, A Dosovitskiy, T Brox
Proceedings of the IEEE conference on computer vision and pattern …, 2017
23202017
Understanding and robustifying differentiable architecture search
A Zela, T Elsken, T Saikia, Y Marrakchi, T Brox, F Hutter
arXiv preprint arXiv:1909.09656, 2019
2072019
Occlusions, motion and depth boundaries with a generic network for disparity, optical flow or scene flow estimation
E Ilg, T Saikia, M Keuper, T Brox
Proceedings of the European Conference on Computer Vision (ECCV), 614-630, 2018
1332018
Autodispnet: Improving disparity estimation with automl
T Saikia, Y Marrakchi, A Zela, F Hutter, T Brox
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
512019
Optimized generic feature learning for few-shot classification across domains
T Saikia, T Brox, C Schmid
arXiv preprint arXiv:2001.07926, 2020
252020
Improving robustness against common corruptions with frequency biased models
T Saikia, C Schmid, T Brox
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
62021
What causes optical flow networks to be vulnerable to physical adversarial attacks
S Schrodi, T Saikia, T Brox
arXiv preprint arXiv:2103.16255, 2021
22021
Multi-headed Neural Ensemble Search
AR Narayanan, A Zela, T Saikia, T Brox, F Hutter
arXiv preprint arXiv:2107.04369, 2021
12021
Method, device and computer program for creating a neural network
A Zela, F Hutter, T Brox, T Saikia, Y Marrakchi
US Patent App. 17/421,886, 2022
2022
Towards Understanding Adversarial Robustness of Optical Flow Networks
S Schrodi, T Saikia, T Brox
arXiv preprint arXiv:2103.16255, 2021
2021
Towards improving robustness of compressed CNNs
J Hoffmann, S Agnihotri, T Saikia, T Brox
ICML Workshop on Uncertainty and Robustness in Deep Learning (UDL), 2021
2021
DispNet-CSS: Robust Vision Submission
T Saikia, E Ilg, T Brox
2018
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