32 citations · 58 across the 4 of their papers we have counts for
5 papers
LD-ZNet: A Latent Diffusion Approach for Text-Based Image Segmentation
Koutilya Pnvr, Bharat Singh, Pallabi Ghosh +2
Large-scale pre-training tasks like image classification, captioning, or self-supervised techniques do not incentivize learning the semantic boundaries of objects. However, recent…
All About Knowledge Graphs for Actions
Pallabi Ghosh, Nirat Saini, Larry S. Davis +1
Current action recognition systems require large amounts of training data for recognizing an action. Recent works have explored the paradigm of zero-shot and few-shot learning to l…
Depth Completion Using a View-constrained Deep Prior
Pallabi Ghosh, Vibhav Vineet, Larry S. Davis +3
Recent work has shown that the structure of convolutional neural networks (CNNs) induces a strong prior that favors natural images. This prior, known as a deep image prior (DIP), i…
Stacked Spatio-Temporal Graph Convolutional Networks for Action Segmentation
Pallabi Ghosh, Yi Yao, Larry S. Davis +1
We propose novel Stacked Spatio-Temporal Graph Convolutional Networks (Stacked-STGCN) for action segmentation, i.e., predicting and localizing a sequence of actions over long video…
Stacked U-Nets: A No-Frills Approach to Natural Image Segmentation
Sohil Shah, Pallabi Ghosh, Larry S Davis +1
Many imaging tasks require global information about all pixels in an image. Conventional bottom-up classification networks globalize information by decreasing resolution; features…