14 citations · 27 across the 3 of their papers we have counts for
12 papers
Selective Attention: Enhancing Transformer through Principled Context Control
Xuechen Zhang, Xiangyu Chang, Mingchen Li +3
The attention mechanism within the transformer architecture enables the model to weigh and combine tokens based on their relevance to the query. While self-attention has enjoyed ma…
POSTURE: Pose Guided Unsupervised Domain Adaptation for Human Body Part Segmentation
Arindam Dutta, Rohit Lal, Yash Garg +4
Existing algorithms for human body part segmentation have shown promising results on challenging datasets, primarily relying on end-to-end supervision. However, these algorithms ex…
Plug-and-Play Transformer Modules for Test-Time Adaptation
Xiangyu Chang, Sk Miraj Ahmed, Srikanth V. Krishnamurthy +4
Parameter-efficient tuning (PET) methods such as LoRA, Adapter, and Visual Prompt Tuning (VPT) have found success in enabling adaptation to new domains by tuning small modules with…
POISE: Pose Guided Human Silhouette Extraction under Occlusions
Arindam Dutta, Rohit Lal, Dripta S. Raychaudhuri +2
Human silhouette extraction is a fundamental task in computer vision with applications in various downstream tasks. However, occlusions pose a significant challenge, leading to inc…
Effective Restoration of Source Knowledge in Continual Test Time Adaptation
Fahim Faisal Niloy, Sk Miraj Ahmed, Dripta S. Raychaudhuri +2
Traditional test-time adaptation (TTA) methods face significant challenges in adapting to dynamic environments characterized by continuously changing long-term target distributions…
Learning Deformable 3D Graph Similarity to Track Plant Cells in Unregistered Time Lapse Images
Md Shazid Islam, Arindam Dutta, Calvin-Khang Ta +5
Tracking of plant cells in images obtained by microscope is a challenging problem due to biological phenomena such as large number of cells, non-uniform growth of different layers…