3 citations · 6 across the 4 of their papers we have counts for
4 papers
Reimagining Reality: A Comprehensive Survey of Video Inpainting Techniques
Shreyank N Gowda, Yash Thakre, Shashank Narayana Gowda +1
This paper offers a comprehensive analysis of recent advancements in video inpainting techniques, a critical subset of computer vision and artificial intelligence. As a process tha…
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…
Learn2Augment: Learning to Composite Videos for Data Augmentation in Action Recognition
Shreyank N Gowda, Marcus Rohrbach, Frank Keller +1
We address the problem of data augmentation for video action recognition. Standard augmentation strategies in video are hand-designed and sample the space of possible augmented dat…