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Sateesh Kumar
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2020 – today
- 2024
- [i6]Weizhi Wang, Khalil Mrini, Linjie Yang, Sateesh Kumar, Yu Tian, Xifeng Yan, Heng Wang:
Finetuned Multimodal Language Models Are High-Quality Image-Text Data Filters. CoRR abs/2403.02677 (2024) - 2023
- [i5]Haichao Yu, Yu Tian, Sateesh Kumar, Linjie Yang, Heng Wang:
The Devil is in the Details: A Deep Dive into the Rabbit Hole of Data Filtering. CoRR abs/2309.15954 (2023) - 2022
- [c5]Sateesh Kumar, Jonathan Zamora, Nicklas Hansen, Rishabh Jangir, Xiaolong Wang:
Graph Inverse Reinforcement Learning from Diverse Videos. CoRL 2022: 55-66 - [c4]Sateesh Kumar, Sanjay Haresh, Awais Ahmed, Andrey Konin, M. Zeeshan Zia, Quoc-Huy Tran:
Unsupervised Action Segmentation by Joint Representation Learning and Online Clustering. CVPR 2022: 20142-20153 - [i4]Sateesh Kumar, Jonathan Zamora, Nicklas Hansen, Rishabh Jangir, Xiaolong Wang:
Inverse Reinforcement Learning from Diverse Third-Person Videos via Graph Abstraction. CoRR abs/2207.14299 (2022) - 2021
- [c3]Sanjay Haresh, Sateesh Kumar, Huseyin Coskun, Shahram Najam Syed, Andrey Konin, M. Zeeshan Zia, Quoc-Huy Tran:
Learning by Aligning Videos in Time. CVPR 2021: 5548-5558 - [i3]Sanjay Haresh, Sateesh Kumar, Huseyin Coskun, Shahram Najam Syed, Andrey Konin, Muhammad Zeeshan Zia, Quoc-Huy Tran:
Learning by Aligning Videos in Time. CoRR abs/2103.17260 (2021) - [i2]Sateesh Kumar, Sanjay Haresh, Awais Ahmed, Andrey Konin, M. Zeeshan Zia, Quoc-Huy Tran:
Unsupervised Activity Segmentation by Joint Representation Learning and Online Clustering. CoRR abs/2105.13353 (2021) - 2020
- [c2]Sanjay Haresh, Sateesh Kumar, M. Zeeshan Zia, Quoc-Huy Tran:
Towards Anomaly Detection in Dashcam Videos. IV 2020: 1407-1414 - [i1]Sanjay Haresh, Sateesh Kumar, M. Zeeshan Zia, Quoc-Huy Tran:
Towards Anomaly Detection in Dashcam Videos. CoRR abs/2004.05261 (2020)
2010 – 2019
- 2019
- [c1]Bahram K. Baloch, Sateesh Kumar, Sanjay Haresh, Abeerah Rehman, Tahir Syed:
Focused Anchors Loss: cost-sensitive learning of discriminative features for imbalanced classification. ACML 2019: 822-835
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