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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
3352018
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
1472018
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
282022
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
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
22023
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
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
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
2023
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