activity
20202026
most citedFast Geometric Surface based Segmentation of Point Cloud from Lidar Data

5 citations · 6 across the 4 of their papers we have counts for

collaborators

6 papers

cs.LG2026

Certified Approximation for Interpretable Representer Landmarks

Jayanta Mukherjee, Shourya Verma, Mengbo Wang +2

Representer explanations rank the training landmarks that most influence a self-supervised representation. At scale, this ranking rests on up to four stacked approximations of the…

cs.LG2026

Learning Implicit Causal World Models from Multi-Agent Demonstrations

Jasorsi Ghosh

In model-based reinforcement learning, world models exist as internal simulators, but their training often conflates statistical correlations with causal mechanisms. This problem i…

cs.LG2025

Energy-Based Transfer for Reinforcement Learning

Zeyun Deng, Jasorsi Ghosh, Fiona Xie +4

Reinforcement learning remains sample inefficient, particularly when agents must adapt over time to related but distinct tasks, as in continual learning settings. Efficiency can be…

cs.CV2022★ 1 cited

PaCMO: Partner Dependent Human Motion Generation in Dyadic Human Activity using Neural Operators

Md Ashiqur Rahman, Jasorsi Ghosh, Hrishikesh Viswanath +2

We address the problem of generating 3D human motions in dyadic activities. In contrast to the concurrent works, which mainly focus on generating the motion of a single actor from…

cs.CV2020

Semantic Segmentation of Surface from Lidar Point Cloud

Aritra Mukherjee, Sourya Dipta Das, Jasorsi Ghosh +2

In the field of SLAM (Simultaneous Localization And Mapping) for robot navigation, mapping the environment is an important task. In this regard the Lidar sensor can produce near ac…

cs.CV2020★ 5 cited

Fast Geometric Surface based Segmentation of Point Cloud from Lidar Data

Aritra Mukherjee, Sourya Dipta Das, Jasorsi Ghosh +2

Mapping the environment has been an important task for robot navigation and Simultaneous Localization And Mapping (SLAM). LIDAR provides a fast and accurate 3D point cloud map of t…