| Convnext v2: Co-designing and scaling convnets with masked autoencoders S Woo, S Debnath, R Hu, X Chen, Z Liu, IS Kweon, S Xie Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 635* | 2023 |
| RGB-D local implicit function for depth completion of transparent objects L Zhu, A Mousavian, Y Xiang, H Mazhar, J van Eenbergen, S Debnath, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 79 | 2021 |
| Semi-supervised stylegan for disentanglement learning W Nie, T Karras, A Garg, S Debnath, A Patney, A Patel, A Anandkumar International Conference on Machine Learning, 7360-7369, 2020 | 78 | 2020 |
| Self-supervised real-to-sim scene generation A Prakash, S Debnath, JF Lafleche, E Cameracci, S Birchfield, MT Law Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 27* | 2021 |
| Analysing predictability in Indian monsoon rainfall: a data analytic approach S Azad, S Debnath, M Rajeevan Environmental Processes 2, 717-727, 2015 | 27 | 2015 |
| Exploring long-sequence masked autoencoders R Hu, S Debnath, S Xie, X Chen arXiv preprint arXiv:2210.07224, 2022 | 18 | 2022 |
| Learning Diverse Motor Patterns with a Single Multi-Layered Multi-Pattern CPG for a Humanoid Robot S Debnath, J Nassour, G Cheng IEEE International Conference on Humanoid Robots (Humanoids), Madrid, Spain, 2014 | 9 | 2014 |
| Scene graph generation for unlabeled data A Prakash, S Debnath, JF Lafleche, E Cameracci, MT Law US Patent 11,574,155, 2023 | 8 | 2023 |
| Attribute-aware image generation using neural networks W Nie, TT Karras, G Animesh, S Debnath, A Patney, A Anandkumar US Patent App. 16/925,085, 2022 | 7 | 2022 |
| Influence of an intermediate option on the description-experience gap and information search N Sharma, S Debnath, V Dutt Frontiers in Psychology 9, 364, 2018 | 5 | 2018 |
| Extending Cortical-Basal Inspired Reinforcement Learning Model with Success-Failure Experience S Debnath, J Nassour IEEE International Conference on Development and Learning and Epigenetic …, 2014 | 5 | 2014 |
| PointInfinity: Resolution-Invariant Point Diffusion Models Z Huang, J Johnson, S Debnath, JM Rehg, CY Wu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 3 | 2024 |
| Solving Markov decision processes with reachability characterization from mean first passage times S Debnath, L Liu, G Sukhatme 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 3 | 2018 |
| Efficient task planning using past performance S Debnath, F Khatana, S Ghosh US Patent App. 15/364,081, 2018 | 3 | 2018 |
| Reachability and differential based heuristics for solving markov decision processes S Debnath, L Liu, G Sukhatme Robotics Research: The 18th International Symposium ISRR, 387-404, 2020 | 2 | 2020 |
| Accelerating goal-directed reinforcement learning by model characterization S Debnath, G Sukhatme, L Liu 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 2 | 2018 |
| Environment-adaptive Learning: How Clustering Helps to Obtain Good Training Data S Debnath, SS Baishya, R Triebel, V Dutt, D Cremers KI 2014: Advances in Artificial Intelligence: 37th Annual German Conference …, 2014 | 1 | 2014 |
| Scene graph generation for unlabeled data A Prakash, S Debnath, JF Lafleche, E Cameracci, MT Law US Patent App. 18/673,785, 2024 | | 2024 |
| Scene graph generation for unlabeled data A Prakash, S Debnath, JF Lafleche, E Cameracci, MT Law US Patent 11,995,883, 2024 | | 2024 |
| Experience - Description Gap in a Stock Market Investment Game S Debnath, N Sharma, V Dutt 2nd Annual Conference on Cognitive Science, Kanpur, India, 2015 | | 2015 |
Ronghang HuResearch Scientist, AI at MetaVerified email at meta.com
