Zobrazeno 1 - 10
of 201
pro vyhledávání: '"Namboodiri, Vinay P"'
Autor:
Some, Samik, Namboodiri, Vinay P.
Semantic segmentation has become an important task in computer vision with the growth of self-driving cars, medical image segmentation, etc. Although current models provide excellent results, they are still far from perfect and while there has been s
Externí odkaz:
http://arxiv.org/abs/2406.14201
Autor:
Singh, Utsav, Chakraborty, Souradip, Suttle, Wesley A., Sadler, Brian M., Namboodiri, Vinay P, Bedi, Amrit Singh
Learning control policies to perform complex robotics tasks from human preference data presents significant challenges. On the one hand, the complexity of such tasks typically requires learning policies to perform a variety of subtasks, then combinin
Externí odkaz:
http://arxiv.org/abs/2406.10892
Developing interactive systems that leverage natural language instructions to solve complex robotic control tasks has been a long-desired goal in the robotics community. Large Language Models (LLMs) have demonstrated exceptional abilities in handling
Externí odkaz:
http://arxiv.org/abs/2406.05881
In this work, we introduce PIPER: Primitive-Informed Preference-based Hierarchical reinforcement learning via Hindsight Relabeling, a novel approach that leverages preference-based learning to learn a reward model, and subsequently uses this reward m
Externí odkaz:
http://arxiv.org/abs/2404.13423
Transformers have revolutionized image modeling tasks with adaptations like DeIT, Swin, SVT, Biformer, STVit, and FDVIT. However, these models often face challenges with inductive bias and high quadratic complexity, making them less efficient for hig
Externí odkaz:
http://arxiv.org/abs/2403.18063
Publikováno v:
In Proceedings of the 31st ACM International Conference on Multimedia, 2023
In this paper, we introduce a novel approach to address the task of synthesizing speech from silent videos of any in-the-wild speaker solely based on lip movements. The traditional approach of directly generating speech from lip videos faces the chal
Externí odkaz:
http://arxiv.org/abs/2403.01087
Autor:
Saunders, Jack, Namboodiri, Vinay
Visual dubbing is the process of generating lip motions of an actor in a video to synchronise with given audio. Recent advances have made progress towards this goal but have not been able to produce an approach suitable for mass adoption. Existing me
Externí odkaz:
http://arxiv.org/abs/2401.06126
CLIP is a widely used foundational vision-language model that is used for zero-shot image recognition and other image-text alignment tasks. We demonstrate that CLIP is vulnerable to change in image quality under compression. This surprising result is
Externí odkaz:
http://arxiv.org/abs/2311.14029
Autor:
Banerjee, Soumya, Verma, Vinay K., Mukherjee, Avideep, Gupta, Deepak, Namboodiri, Vinay P., Rai, Piyush
Lifelong learning or continual learning is the problem of training an AI agent continuously while also preventing it from forgetting its previously acquired knowledge. Streaming lifelong learning is a challenging setting of lifelong learning with the
Externí odkaz:
http://arxiv.org/abs/2309.08227
The ability to accurately capture and express emotions is a critical aspect of creating believable characters in video games and other forms of entertainment. Traditionally, this animation has been achieved with artistic effort or performance capture
Externí odkaz:
http://arxiv.org/abs/2307.09480