34 citations · 39 across the 6 of their papers we have counts for
7 papers
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…
Multi Modal Adaptive Normalization for Audio to Video Generation
Neeraj Kumar, Srishti Goel, Ankur Narang +1
Speech-driven facial video generation has been a complex problem due to its multi-modal aspects namely audio and video domain. The audio comprises lots of underlying features such…
Few Shot Adaptive Normalization Driven Multi-Speaker Speech Synthesis
Neeraj Kumar, Srishti Goel, Ankur Narang +1
The style of the speech varies from person to person and every person exhibits his or her own style of speaking that is determined by the language, geography, culture and other fac…
CatFedAvg: Optimising Communication-efficiency and Classification Accuracy in Federated Learning
Dipankar Sarkar, Sumit Rai, Ankur Narang
Federated learning has allowed the training of statistical models over remote devices without the transfer of raw client data. In practice, training in heterogeneous and large netw…
Fed-Focal Loss for imbalanced data classification in Federated Learning
Dipankar Sarkar, Ankur Narang, Sumit Rai
The Federated Learning setting has a central server coordinating the training of a model on a network of devices. One of the challenges is variable training performance when the da…