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Sateesh Kumar
Sateesh Kumar
PhD student at The University of Texas at Austin.
Verified email at utexas.edu - Homepage
Title
Cited by
Cited by
Year
Learning by Aligning Videos in Time
S Haresh, S Kumar, H Coskun, SN Syed, A Konin, MZ Zia, QH Tran
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
722021
Unsupervised Activity Segmentation by Joint Representation Learning and Online Clustering
S Kumar, S Haresh, A Ahmed, A Konin, MZ Zia, QH Tran
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
582022
Graph Inverse Reinforcement Learning from Diverse Videos
S Kumar, J Zamora, N Hansen, R Jangir, X Wang
Conference on Robot Learning (CoRL) 2022, 2022
402022
Towards Anomaly Detection in Dashcam Videos
S Haresh, S Kumar, MZ Zia, QH Tran
IEEE Intelligent Vehicles Symposium (IV), 2020
342020
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
122019
The devil is in the details: A deep dive into the rabbit hole of data filtering
H Yu, Y Tian, S Kumar, L Yang, H Wang
arXiv preprint arXiv:2309.15954, 2023
92023
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
92021
Finetuned Multimodal Language Models Are High-Quality Image-Text Data Filters
W Wang, K Mrini, L Yang, S Kumar, Y Tian, X Yan, H Wang
arXiv preprint arXiv:2403.02677, 2024
62024
Improving Explanations of Image Classifiers: Ensembles and Multitask Learning
A Ahamed, K Alipour, S Kumar, S Soltani, M Pazzani
International Journal of Artificial Intelligence and Applications, 2022
2*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
12024
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
12022
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
De-correlating learned weights for improving generalization performance in deep neural networks
S Haresh, BK Baloch, S Kumar, A Thomas, T Syed
23rd Iberoamerican Congress Late Breaking Works Proceedings, 34-36, 2018
2018
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, HCSN Syed, AKMZZ Quoc, H Tran
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Articles 1–15