activity
20242026
most citedManta: Enhancing Mamba for Few-Shot Action Recognition of Long Sub-Sequence

9 citations · 17 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

HTT-Net: Hierarchical Text-guided Transition Modeling for Surgical Video Phase Recognition

Kunjie Deng, Jinghui Zhang, Weidong Chen +4

Surgical video phase recognition is a fundamental task in computer-assisted intervention, supporting workflow understanding, intraoperative guidance, and surgical quality assessmen…

cs.CV2026

QuReC: All-in-One Image Restoration with Query-Specific Guidance and Local-Global Response Calibration

Shen Zhou, Jinghui Zhang, Wenbo Huang +7

All-in-one image restoration aims to recover clean images degraded by multiple corruption types using a single unified model. Existing methods typically rely on image-level prompts…

cs.CV2025

Otter: Mitigating Background Distractions of Wide-Angle Few-Shot Action Recognition with Enhanced RWKV

Wenbo Huang, Jinghui Zhang, Zhenghao Chen +6

Wide-angle videos in few-shot action recognition (FSAR) effectively express actions within specific scenarios. However, without a global understanding of both subjects and backgrou…

cs.CV2024★ 9 cited

Manta: Enhancing Mamba for Few-Shot Action Recognition of Long Sub-Sequence

Wenbo Huang, Jinghui Zhang, Guang Li +6

In few-shot action recognition (FSAR), long sub-sequences of video naturally express entire actions more effectively. However, the high computational complexity of mainstream Trans…

cs.CV2024★ 8 cited

SOAP: Enhancing Spatio-Temporal Relation and Motion Information Capturing for Few-Shot Action Recognition

Wenbo Huang, Jinghui Zhang, Xuwei Qian +3

High frame-rate (HFR) videos of action recognition improve fine-grained expression while reducing the spatio-temporal relation and motion information density. Thus, large amounts o…