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Pallabi Ghosh

2 accepted papers

2023

LD-ZNet: A Latent Diffusion Approach for Text-Based Image Segmentation

ICCV 2023oral

Large-scale pre-training tasks like image classification, captioning, or self-supervised techniques do not incentivize learning the semantic boundaries of objects. However, recent generative foundation models built using text-based latent diffusion techniques may learn semantic boundaries. This is b…

Cited by 38PDFcodeScholar
2021

Learning Graphs for Knowledge Transfer With Limited Labels

CVPR 2021poster

Fixed input graphs are a mainstay in approaches that utilize Graph Convolution Networks (GCNs) for knowledge transfer. The standard paradigm is to utilize relationships in the input graph to transfer information using GCNs from training to testing nodes in the graph; for example, the semi-supervised…

Cited by 12PDFScholar