22 citations · 62 across the 50 of their papers we have counts for
5 papers · 1 filter
Watt For What: Rethinking Deep Learning's Energy-Performance Relationship
Shreyank N Gowda, Xinyue Hao, Gen Li +3
Deep learning models have revolutionized various fields, from image recognition to natural language processing, by achieving unprecedented levels of accuracy. However, their increa…
Telling Stories for Common Sense Zero-Shot Action Recognition
Shreyank N Gowda, Laura Sevilla-Lara
Video understanding has long suffered from reliance on large labeled datasets, motivating research into zero-shot learning. Recent progress in language modeling presents opportunit…
From Pixels to Portraits: A Comprehensive Survey of Talking Head Generation Techniques and Applications
Shreyank N Gowda, Dheeraj Pandey, Shashank Narayana Gowda
Talking head generation has progressed rapidly from landmark- and GAN-based facial animation to diffusion models, neural rendering, 3D-aware avatars, and foundation-model-assisted…
Optimizing ViViT Training: Time and Memory Reduction for Action Recognition
Shreyank N Gowda, Anurag Arnab, Jonathan Huang
In this paper, we address the challenges posed by the substantial training time and memory consumption associated with video transformers, focusing on the ViViT (Video Vision Trans…
Synthetic Sample Selection for Generalized Zero-Shot Learning
Shreyank N Gowda
Generalized Zero-Shot Learning (GZSL) has emerged as a pivotal research domain in computer vision, owing to its capability to recognize objects that have not been seen during train…