Tonmoy Saikia
Tonmoy Saikia
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
19412017
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
1142018
Understanding and robustifying differentiable architecture search
A Zela, T Elsken, T Saikia, Y Marrakchi, T Brox, F Hutter
arXiv preprint arXiv:1909.09656, 2019
912019
Understanding and robustifying differentiable architecture search
TE Arber Zela, T Saikia, Y Marrakchi, T Brox, F Hutter
International Conference on Learning Representations 3, 7, 2020
572020
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
362019
Optimized generic feature learning for few-shot classification across domains
T Saikia, T Brox, C Schmid
arXiv preprint arXiv:2001.07926, 2020
152020
Improving robustness against common corruptions with frequency biased models
T Saikia, C Schmid, T Brox
arXiv preprint arXiv:2103.16241, 2021
22021
Multi-headed Neural Ensemble Search
AR Narayanan, A Zela, T Saikia, T Brox, F Hutter
arXiv preprint arXiv:2107.04369, 2021
2021
What Causes Optical Flow Networks to be Vulnerable to Physical Adversarial Attacks
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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Articles 1–11