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Abhir Bhalerao

2 accepted papers

2025

COCO-OLAC: A Benchmark for Occluded Panoptic Segmentation and Image Understanding

ICASSP 2025accepted

To help address the occlusion problem in panoptic segmentation and image understanding, this paper proposes a new large-scale dataset named COCO-OLAC (COCO Occlusion Labels for All Computer Vision Tasks), which is derived from the COCO dataset by manually labelling images into three perceived occlus…

Cited by 0SourceScholar
2022

Cross-Modal Prototype Driven Network for Radiology Report Generation

ECCV 2022poster

"Radiology report generation (RRG) aims to describe automatically a radiology image with human-like language and could potentially support the work of radiologists, reducing the burden of manual reporting. Previous approaches often adopt an encoder-decoder architecture and focus on single-modal feat…