1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2026★ 1 cited
STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition
Hongli Liu, Yu Wang, Shengjie Zhao
Few-shot action recognition (FSAR) requires models to generalize to novel action categories from only a handful of annotated samples. Despite progress with vision-language models,…
cs.CV2026
Unify the Views: View-Consistent Prototype Learning for Few-Shot Segmentation
Hongli Liu, Yu Wang, Shengjie Zhao
Few-shot segmentation (FSS) has gained significant attention for its ability to generalize to novel classes with limited supervision, yet remains challenged by structural misalignm…
cs.CV2023★ 1 cited
CAT: LoCalization and IdentificAtion Cascade Detection Transformer for Open-World Object Detection
Shuailei Ma, Yuefeng Wang, Jiaqi Fan +4
Open-world object detection (OWOD), as a more general and challenging goal, requires the model trained from data on known objects to detect both known and unknown objects and incre…