4 papers
Boundary-Centric Clip-Budgeted Active Learning for Temporal Action Segmentation
Halil Ismail Helvaci, Sen-ching Samson Cheung
Temporal action segmentation (TAS) in untrimmed videos requires dense temporal supervision. However, most of the annotation cost is spent identifying action transitions where segme…
Learning Class Difficulty via Dynamic Focal Attention for Histopathology Segmentation
Lakmali Nadeesha Kumari, Lakmali Nadeesha Kumari Rathukohe Mudiyanselage, Sen-Ching Samson Cheung
Frequency-based loss reweighting, the standard remedy for imbalanced histopathology segmentation, implicitly assumes that rare classes are difficult. Yet difficulty also arises fro…
MMTA: Multi Membership Temporal Attention for Fine-Grained Stroke Rehabilitation Assessment
Halil Ismail Helvaci, Justin Huber, Jihye Bae +1
To empower the iterative assessments involved during a person's rehabilitation, automated assessment of a person's abilities during daily activities requires temporally precise seg…
Empowering Source-Free Domain Adaptation via MLLM-Guided Reliability-Based Curriculum Learning
Dongjie Chen, Kartik Patwari, Zhengfeng Lai +3
Existing SFDA methods struggle to fully use pre-trained knowledge and often rely on a single model's predictions or handcrafted prompts, limiting robustness under domain shift. Mul…