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Sayak Nag

3 accepted papers

2025

Conformal Prediction and MLLM aided Uncertainty Quantification in Scene Graph Generation

CVPR 2025poster

Scene Graph Generation (SGG) aims to represent visual scenes by identifying objects and their pairwise relationships, providing a structured understanding of image content. However, inherent challenges like long-tailed class distributions and prediction variability necessitate uncertainty quantifica…

Cited by 7SourcePDFScholar
2025

Uncertainty-Aware Diffusion-Guided Refinement of 3D Scenes

ICCV 2025poster

Reconstructing 3D scenes from a single image is a fundamentally ill-posed task due to the severely under-constrained nature of the problem. Consequently, when the scene is rendered from novel camera views, particularly in unseen regions far away from the input camera, existing single image to 3D rec…

Cited by 0SourcePDFScholar