5 citations · 5 across the 5 of their papers we have counts for
4 papers · 1 filter
Adversarially Robust Prototypical Few-shot Segmentation with Neural-ODEs
Prashant Pandey, Aleti Vardhan, Mustafa Chasmai +2
Few-shot Learning (FSL) methods are being adopted in settings where data is not abundantly available. This is especially seen in medical domains where the annotations are expensive…
ADAADepth: Adapting Data Augmentation and Attention for Self-Supervised Monocular Depth Estimation
Vinay Kaushik, Kartik Jindgar, Brejesh Lall
Self-supervised learning of depth has been a highly studied topic of research as it alleviates the requirement of having ground truth annotations for predicting depth. Depth is lea…
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…
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…