Zobrazeno 1 - 10
of 11 885
pro vyhledávání: '"A. Roy Chowdhury"'
Autor:
Bachu, Saketh, Shayegani, Erfan, Chakraborty, Trishna, Lal, Rohit, Dutta, Arindam, Song, Chengyu, Dong, Yue, Abu-Ghazaleh, Nael, Roy-Chowdhury, Amit K.
Vision-language models (VLMs) have improved significantly in multi-modal tasks, but their more complex architecture makes their safety alignment more challenging than the alignment of large language models (LLMs). In this paper, we reveal an unfair d
Externí odkaz:
http://arxiv.org/abs/2411.04291
Egocentric vision captures the scene from the point of view of the camera wearer while exocentric vision captures the overall scene context. Jointly modeling ego and exo views is crucial to developing next-generation AI agents. The community has rega
Externí odkaz:
http://arxiv.org/abs/2410.20621
Autor:
Ta, Calvin-Khang, Dutta, Arindam, Kundu, Rohit, Lal, Rohit, Cruz, Hannah Dela, Raychaudhuri, Dripta S., Roy-Chowdhury, Amit
The Skinned Multi-Person Linear (SMPL) model plays a crucial role in 3D human pose estimation, providing a streamlined yet effective representation of the human body. However, ensuring the validity of SMPL configurations during tasks such as human me
Externí odkaz:
http://arxiv.org/abs/2410.14540
Autor:
Ghosh, Udita, Raychaudhuri, Dripta S., Li, Jiachen, Karydis, Konstantinos, Roy-Chowdhury, Amit K.
Offline imitation learning enables learning a policy solely from a set of expert demonstrations, without any environment interaction. To alleviate the issue of distribution shift arising due to the small amount of expert data, recent works incorporat
Externí odkaz:
http://arxiv.org/abs/2410.03626
In this paper, we develop an embodied AI system for human-in-the-loop navigation with a wheeled mobile robot. We propose a direct yet effective method of monitoring the robot's current plan to detect changes in the environment that impact the intende
Externí odkaz:
http://arxiv.org/abs/2409.19459
Autor:
Peiris, Pamodya, Samanta, Aritra, Mucchiani, Caio, Simons, Cody, Roy-Chowdhury, Amit, Karydis, Konstantinos
Water is often overused in irrigation, making efficient management of it crucial. Precision Agriculture emphasizes tools like stem water potential (SWP) analysis for better plant status determination. However, such tools often require labor-intensive
Externí odkaz:
http://arxiv.org/abs/2409.16412
Reinforcement Learning (RL) has enabled social robots to generate trajectories without human-designed rules or interventions, which makes it more effective than hard-coded systems for generalizing to complex real-world scenarios. However, social navi
Externí odkaz:
http://arxiv.org/abs/2407.17460
Autor:
Dutta, Arindam, Lal, Rohit, Garg, Yash, Ta, Calvin-Khang, Raychaudhuri, Dripta S., Cruz, Hannah Dela, Roy-Chowdhury, Amit K.
Existing algorithms for human body part segmentation have shown promising results on challenging datasets, primarily relying on end-to-end supervision. However, these algorithms exhibit severe performance drops in the face of domain shifts, leading t
Externí odkaz:
http://arxiv.org/abs/2407.03549
Autor:
Nabizadeh, Mohammad Sina, Roy-Chowdhury, Ritoban, Yin, Hang, Ramamoorthi, Ravi, Chern, Albert
We propose Coadjoint Orbit FLIP (CO-FLIP), a high order accurate, structure preserving fluid simulation method in the hybrid Eulerian-Lagrangian framework. We start with a Hamiltonian formulation of the incompressible Euler Equations, and then, using
Externí odkaz:
http://arxiv.org/abs/2406.01936
Autor:
Chakraborty, Trishna, Shayegani, Erfan, Cai, Zikui, Abu-Ghazaleh, Nael, Asif, M. Salman, Dong, Yue, Roy-Chowdhury, Amit K., Song, Chengyu
Recent studies reveal that integrating new modalities into Large Language Models (LLMs), such as Vision-Language Models (VLMs), creates a new attack surface that bypasses existing safety training techniques like Supervised Fine-tuning (SFT) and Reinf
Externí odkaz:
http://arxiv.org/abs/2406.02575