| Learning by aligning videos in time S Haresh, S Kumar, H Coskun, SN Syed, A Konin, Z Zia, QH Tran Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 64 | 2021 |
| Unsupervised Activity Segmentation by Joint Representation Learning and Online Clustering S Kumar, S Haresh, A Ahmed, A Konin, MZ Zia, QH Tran Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 49 | 2022 |
| Ego-exo4d: Understanding skilled human activity from first-and third-person perspectives K Grauman, A Westbury, L Torresani, K Kitani, J Malik, T Afouras, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 34 | 2024 |
| Towards Anomaly Detection in Dashcam Videos S Haresh, S Kumar, MZ Zia, QH Tran IEEE Intelligent Vehicles Symposium (IV), 2020 | 29 | 2020 |
| Focused anchors loss: Cost-sensitive learning of discriminative features for imbalanced classification BK Baloch, S Kumar, S Haresh, A Rehman, T Syed Asian Conference on Machine Learning, 822-835, 2019 | 12 | 2019 |
| Habitat synthetic scenes dataset (hssd-200): An analysis of 3d scene scale and realism tradeoffs for objectgoal navigation M Khanna, Y Mao, H Jiang, S Haresh, B Shacklett, D Batra, A Clegg, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 11 | 2024 |
| Timestamp-Supervised Action Segmentation with Graph Convolutional Networks H Khan, S Haresh, A Ahmed, S Siddiqui, A Konin, MZ Zia, QH Tran IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022 | 11 | 2022 |
| Articulated 3D Human-Object Interactions from RGB Videos: An Empirical Analysis of Approaches and Challenges S Haresh, X Sun, H Jiang, AX Chang, M Savva 2022 International Conference on 3D Vision (3DV), 2022 | 8 | 2022 |
| System and method for building computational models of a goal-driven task from demonstration MZ Zia, QH Tran, A Konin, S Haresh, S Kumar US Patent 11,017,690, 2021 | 8 | 2021 |
| System and method for determining sub-activities in videos and segmenting the videos with little to no annotation QH Tran, MZ Zia, A Konin, S Kumar, S Haresh, A Ahmed, H Khan, ... US Patent App. 17/752,946, 2022 | 1 | 2022 |
| System and method for learning human activities from video demonstrations using video augmentation QH Tran, MZ Zia, A Konin, S Haresh, S Kumar US Patent 11,941,080, 2024 | | 2024 |
| System and method for correlating video frames in a computing environment QH Tran, MZ Zia, A Konin, S Haresh, S Kumar, SN Syed US Patent 11,368,756, 2022 | | 2022 |
| Supplementary Material: Math-Search: A Benchmark for Multi-hop Visual Reasoning over Plots P Madan, S Haresh, ABL Liu, RPSPR Memisevic | | |
| Math-Search: A Benchmark for Multi-hop Visual Reasoning over Plots P Madan, S Haresh, ABL Liu, RPSPR Memisevic | | |
| Supplementary Material: Unsupervised Action Segmentation by Joint Representation Learning and Online Clustering S Kumar, S Haresh, A Ahmed, A Konin, MZ Zia, QH Tran | | |
| Supplementary Material: Learning by Aligning Videos in Time S Haresh, S Kumar, H Coskun, SN Syed, A Konin, MZ Zia, QH Tran | | |
Sateesh KumarResearcher at ByteDance Inc.在 ucsd.edu 的电子邮件经过验证
