Focused Anchors Loss: cost-sensitive learning of discriminative features for imbalanced classification. - Bahram K. Baloch; Sateesh Kumar; Sanjay Haresh; Abeerah Rehman; Tahir Syed (ACML, 2019)

Towards Anomaly Detection in Dashcam Videos. - Sanjay Haresh; Sateesh Kumar; M. Zeeshan Zia; Quoc-Huy Tran (IV, 2020)

Learning by Aligning Videos in Time. - Sanjay Haresh; Sateesh Kumar; Huseyin Coskun; Shahram Najam Syed; Andrey Konin; M. Zeeshan Zia; Quoc-Huy Tran (CVPR, 2021)

Unsupervised Activity Segmentation by Joint Representation Learning and Online Clustering. - Sateesh Kumar; Sanjay Haresh; Awais Ahmed; Andrey Konin; M. Zeeshan Zia; Quoc-Huy Tran (CoRR, 2021)

Graph Inverse Reinforcement Learning from Diverse Videos. - Sateesh Kumar; Jonathan Zamora; Nicklas Hansen 001; Rishabh Jangir; Xiaolong Wang 004 (CoRL, 2022)

Unsupervised Action Segmentation by Joint Representation Learning and Online Clustering. - Sateesh Kumar; Sanjay Haresh; Awais Ahmed; Andrey Konin; M. Zeeshan Zia; Quoc-Huy Tran (CVPR, 2022)

Inverse Reinforcement Learning from Diverse Third-Person Videos via Graph Abstraction. - Sateesh Kumar; Jonathan Zamora; Nicklas Hansen 001; Rishabh Jangir; Xiaolong Wang 004 (CoRR, 2022)

The Devil is in the Details: A Deep Dive into the Rabbit Hole of Data Filtering. - Haichao Yu; Yu Tian; Sateesh Kumar; Linjie Yang; Heng Wang (CoRR, 2023)

Finetuned Multimodal Language Models Are High-Quality Image-Text Data Filters. - Weizhi Wang; Khalil Mrini; Linjie Yang; Sateesh Kumar; Yu Tian; Xifeng Yan; Heng Wang (CoRR, 2024)

COLLAGE: Adaptive Fusion-based Retrieval for Augmented Policy Learning. - Sateesh Kumar; Shivin Dass; Georgios Pavlakos; Roberto Martín-Martín (CoRR, 2025)