no code implementations • 16 Jun 2024 • Utsav Singh, Souradip Chakraborty, Wesley A. Suttle, Brian M. Sadler, Vinay P Namboodiri, Amrit Singh Bedi
To validate our approach, we perform extensive experimental analysis on a variety of challenging robotics tasks, demonstrating that DIPPER outperforms hierarchical and non-hierarchical baselines, while ameliorating the non-stationarity and infeasible subgoal generation issues of hierarchical reinforcement learning.
Computational Efficiency
Hierarchical Reinforcement Learning
+2
1 code implementation • 29 Oct 2022 • Bipasha Sen, Aditya Agarwal, Vinay P Namboodiri, C. V. Jawahar
In this work, we evaluate the space learned by INR-V on diverse generative tasks such as video interpolation, novel video generation, video inversion, and video inpainting against the existing baselines.
Ranked #1 on
Video Inpainting
on How2Sign
no code implementations • 1 Sep 2022 • Sindhu B Hegde, K R Prajwal, Rudrabha Mukhopadhyay, Vinay P Namboodiri, C. V. Jawahar
With the help of multiple powerful discriminators that guide the training process, our generator learns to synthesize speech sequences in any voice for the lip movements of any person.
1 code implementation • 17 Aug 2022 • Sindhu B Hegde, Rudrabha Mukhopadhyay, Vinay P Namboodiri, C. V. Jawahar
We show that when we process this $8\times8$ video with the right set of audio and image priors, we can obtain a full-length, $256\times256$ video.
no code implementations • 1 Jul 2021 • Shanu Kumar, Vinod Kumar Kurmi, Praphul Singh, Vinay P Namboodiri
Understanding unsupervised domain adaptation has been an important task that has been well explored.
no code implementations • 1 Apr 2021 • Vinod K Kurmi, Vipul Bajaj, Badri N Patro, K S Venkatesh, Vinay P Namboodiri, Preethi Jyothi
Towards this, we propose a method that demonstrates that we are able to generate naturalistic samples of video and audio data by the joint correlated generation of audio and video modalities.
1 code implementation • 17 Feb 2021 • Vinod K Kurmi, Venkatesh K Subramanian, Vinay P Namboodiri
This practical scenario creates a bottleneck in the domain adaptation problem.
1 code implementation • 6 Jan 2021 • Badri N Patro, Kasturi GS, Ansh Jain, Vinay P Namboodiri
In recent years, the attention mechanism has become a fairly popular concept and has proven to be successful in many machine learning applications.
no code implementations • 1 Jan 2021 • Soumya Banerjee, Vinay P Namboodiri
However, these methods mainly focus on incremental batch learning.
1 code implementation • 21 Nov 2020 • Ravindra Yadav, Ashish Sardana, Vinay P Namboodiri, Rajesh M Hegde
Indeed, just having the ability to generate a single talking face would make a system almost robotic in nature.
no code implementations • 14 Nov 2020 • Ravindra Yadav, Ashish Sardana, Vinay P Namboodiri, Rajesh M Hegde
Understanding the relationship between the auditory and visual signals is crucial for many different applications ranging from computer-generated imagery (CGI) and video editing automation to assisting people with hearing or visual impairments.