3 papers
cs.CV2024
Learning to Localize Objects Improves Spatial Reasoning in Visual-LLMs
Kanchana Ranasinghe, Satya Narayan Shukla, Omid Poursaeed +2
Integration of Large Language Models (LLMs) into visual domain tasks, resulting in visual-LLMs (V-LLMs), has enabled exceptional performance in vision-language tasks, particularly…
cs.CV2024
Hierarchical Text-to-Vision Self Supervised Alignment for Improved Histopathology Representation Learning
Hasindri Watawana, Kanchana Ranasinghe, Tariq Mahmood +3
Self-supervised representation learning has been highly promising for histopathology image analysis with numerous approaches leveraging their patient-slide-patch hierarchy to learn…
cs.CV2021
Self-supervised Video Transformer
Kanchana Ranasinghe, Muzammal Naseer, Salman Khan +2
In this paper, we propose self-supervised training for video transformers using unlabeled video data. From a given video, we create local and global spatiotemporal views with varyi…