Sateesh Kumar

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 11

Top Topics

Discriminative Features

Reinforcement Learning

Inverse Reinforcement Learning

Top Venues

Publications

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 (2024)
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 (2023)
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)
Sateesh Kumar, Jonathan Zamora, Nicklas Hansen, Rishabh Jangir, Xiaolong Wang
Inverse Reinforcement Learning from Diverse Third-Person Videos via Graph Abstraction. CoRR (2022)
Sateesh Kumar, Jonathan Zamora, Nicklas Hansen, Rishabh Jangir, Xiaolong Wang
Graph Inverse Reinforcement Learning from Diverse Videos. CoRL (2022)
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)
Sanjay Haresh, Sateesh Kumar, Huseyin Coskun, Shahram Najam Syed, Andrey Konin, Muhammad Zeeshan Zia, Quoc-Huy Tran
Learning by Aligning Videos in Time. CoRR (2021)
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 (2021)
Sanjay Haresh, Sateesh Kumar, M. Zeeshan Zia, Quoc-Huy Tran
Towards Anomaly Detection in Dashcam Videos. CoRR (2020)
Sanjay Haresh, Sateesh Kumar, M. Zeeshan Zia, Quoc-Huy Tran
Towards Anomaly Detection in Dashcam Videos. IV (2020)
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)