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

9 citations · 9 across the 3 of their papers we have counts for

collaborators

5 papers

cs.RO2026

ALAS: Adaptive Long-Horizon Action Synthesis via Async-pathway Stream Disentanglement

Yutong Shen, Hangxu Liu, Lei Zhang +4

Long-Horizon (LH) tasks in Human-Scene Interaction (HSI) are complex multi-step tasks that require continuous planning, sequential decision-making, and extended execution across do…

cs.CV20269 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.CV2026

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.CV2025

Training-Free Zero-Shot Temporal Action Detection with Vision-Language Models

Chaolei Han, Hongsong Wang, Jidong Kuang +2

Existing zero-shot temporal action detection (ZSTAD) methods predominantly use fully supervised or unsupervised strategies to recognize unseen activities. However, these training-b…

cs.CV2024

Generalizable Sensor-Based Activity Recognition via Categorical Concept Invariant Learning

Di Xiong, Shuoyuan Wang, Lei Zhang +2

Human Activity Recognition (HAR) aims to recognize activities by training models on massive sensor data. In real-world deployment, a crucial aspect of HAR that has been largely ove…