5 citations · 7 across the 8 of their papers we have counts for
8 papers
Style Description based Text-to-Speech with Conditional Prosodic Layer Normalization based Diffusion GAN
Neeraj Kumar, Ankur Narang, Brejesh Lall
In this paper, we present a Diffusion GAN based approach (Prosodic Diff-TTS) to generate the corresponding high-fidelity speech based on the style description and content text as a…
Distraction-free Embeddings for Robust VQA
Atharvan Dogra, Deeksha Varshney, Ashwin Kalyan +2
The generation of effective latent representations and their subsequent refinement to incorporate precise information is an essential prerequisite for Vision-Language Understanding…
KL Regularized Normalization Framework for Low Resource Tasks
Neeraj Kumar, Ankur Narang, Brejesh Lall
Large pre-trained models, such as Bert, GPT, and Wav2Vec, have demonstrated great potential for learning representations that are transferable to a wide variety of downstream tasks…
Few Shot Activity Recognition Using Variational Inference
Neeraj Kumar, Siddhansh Narang
There has been a remarkable progress in learning a model which could recognise novel classes with only a few labeled examples in the last few years. Few-shot learning (FSL) for act…
One Shot Audio to Animated Video Generation
Neeraj Kumar, Srishti Goel, Ankur Narang +4
We consider the challenging problem of audio to animated video generation. We propose a novel method OneShotAu2AV to generate an animated video of arbitrary length using an audio c…
Robust One Shot Audio to Video Generation
Neeraj Kumar, Srishti Goel, Ankur Narang +1
Audio to Video generation is an interesting problem that has numerous applications across industry verticals including film making, multi-media, marketing, education and others. Hi…