| 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 | 1859 | 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 | 120 | 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 | 91 | 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 | 33 | 2021 |
| Analysing predictability in Indian monsoon rainfall: a data analytic approach S Azad, S Debnath, M Rajeevan Environmental Processes 2 (4), 717-727, 2015 | 29 | 2015 |
| Sam 3: Segment anything with concepts N Carion, L Gustafson, YT Hu, S Debnath, R Hu, D Suris, C Ryali, ... arXiv preprint arXiv:2511.16719, 2025 | 26 | 2025 |
| Exploring long-sequence masked autoencoders R Hu, S Debnath, S Xie, X Chen arXiv preprint arXiv:2210.07224, 2022 | 25 | 2022 |
| 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 | 16 | 2024 |
| Scene graph generation for unlabeled data A Prakash, S Debnath, JF Lafleche, E Cameracci, MT Law US Patent 11,574,155, 2023 | 13 | 2023 |
| Attribute-aware image generation using neural networks W Nie, TT KARRAS, S Debnath, A Patney, A Anandkumar US Patent App. 16/925,085, 2022 | 13 | 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 | 10 | 2014 |
| 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 | 6 | 2018 |
| 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 | 6 | 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 |
| 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, 2019 | 2 | 2019 |
| 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 Joint German/Austrian Conference on Artificial Intelligence (Künstliche …, 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 |
Ronghang HuxAIVerified email at x.ai
