15 papers
FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision
Tongyan Wang, Zhengyuan Li, Muhan Lin +5
Text-conditioned human motion generation has made rapid progress with the emergence of large-scale motion--language datasets. However, even datasets with rich long-form description…
MIME: Multimodal Interactive Motion Encoder
Addison Zucek, Prerit Gupta, Kamila Kuatova +1
Text-motion representation learning has advanced rapidly, with growing interest in multi person interactions for animation, AR/VR, and embodied AI. These settings require represent…
Neural Operator: Is data all you need to model the world? An insight into the paradigm of data-driven scientific ML
Hrishikesh Viswanath, Md Ashiqur Rahman, Abhijeet Vyas +5
Numerical approximations of partial differential equations (PDEs) are routinely employed to formulate the solution of physics, engineering, and mathematical problems involving func…
Learning Lagrangian Interaction Dynamics with Sampling-Based Model Order Reduction
Hrishikesh Viswanath, Yue Chang, Aleksey Panas +3
Simulating physical systems governed by Lagrangian dynamics often entails solving partial differential equations (PDEs) over high-resolution spatial domains, leading to significant…
Graph-based Decentralized Task Allocation for Multi-Robot Target Localization
Juntong Peng, Hrishikesh Viswanath, Aniket Bera
We introduce a new graph neural operator-based approach for task allocation in a system of heterogeneous robots composed of Unmanned Ground Vehicles (UGVs) and Unmanned Aerial Vehi…
Adversarial Agent Behavior Learning in Autonomous Driving Using Deep Reinforcement Learning
Arjun Srinivasan, Anubhav Paras, Aniket Bera
Existing approaches in reinforcement learning train an agent to learn desired optimal behavior in an environment with rule based surrounding agents. In safety critical applications…