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Nitin Bansal
Nitin Bansal
Staff Engineer, Samsung Research
Verified email at samsung.com - Homepage
Title
Cited by
Cited by
Year
Can we gain more from orthogonality regularizations in training deep networks?
N Bansal, X Chen, Z Wang
Advances in Neural Information Processing Systems 31, 2018
3372018
Visdrone-det2018: The vision meets drone object detection in image challenge results
P Zhu, L Wen, D Du, X Bian, H Ling, Q Hu, Q Nie, H Cheng, C Liu, X Liu, ...
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018
1512018
Planemvs: 3d plane reconstruction from multi-view stereo
J Liu, P Ji, N Bansal, C Cai, Q Yan, X Huang, Y Xu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
292022
Semantics-Depth-Symbiosis: Deeply Coupled Semi-Supervised Learning of Semantics and Depth
N Bansal, P Ji, J Yuan, Y Xu
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
32023
CLIP-FLow: Contrastive Learning by semi-supervised Iterative Pseudo labeling for Optical Flow Estimation
Z Zhang, N Bansal, C Cai, P Ji, Q Yan, X Xu, Y Xu
arXiv preprint arXiv:2210.14383, 2022
32022
Object recognition neural network for amodal center prediction
PS Siddharth Mahendran, Nitin Bansal, Nitesh Sekhar, Manushree Gangwar ...
US Patent App. 17/357,118, 2021
2*2021
Object recognition neural network training using multiple data sources
S Mahendran, N Bansal, N Sekhar, M Gangwar, K Gupta, P Singhal, ...
US Patent App. 18/007,288, 2023
12023
FisheyeDistill: Self-Supervised Monocular Depth Estimation with Ordinal Distillation for Fisheye Cameras
Q Yan, P Ji, N Bansal, Y Ma, Y Tian, Y Xu
arXiv preprint arXiv:2205.02930, 2022
12022
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