Sateesh Kumar

According to our database, Sateesh Kumar authored at least 9 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

2023

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

2022

Inverse Reinforcement Learning from Diverse Third-Person Videos via Graph Abstraction.

Sateesh Kumar, Jonathan Zamora, Nicklas Hansen, Rishabh Jangir, Xiaolong Wang

CoRR, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Graph Inverse Reinforcement Learning from Diverse Videos.

Sateesh Kumar, Jonathan Zamora, Nicklas Hansen, Rishabh Jangir, Xiaolong Wang

Proceedings of the Conference on Robot Learning, 2022

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

Learning by Aligning Videos in Time.

Sanjay Haresh, Sateesh Kumar, Huseyin Coskun, Shahram Najam Syed, Andrey Konin, M. Zeeshan Zia, Quoc-Huy Tran

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Towards Anomaly Detection in Dashcam Videos.

Sanjay Haresh, Sateesh Kumar, M. Zeeshan Zia, Quoc-Huy Tran

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

2019

Focused Anchors Loss: cost-sensitive learning of discriminative features for imbalanced classification.

Bahram K. Baloch, Sateesh Kumar, Sanjay Haresh, Abeerah Rehman, Tahir Syed

Proceedings of The 11th Asian Conference on Machine Learning, 2019