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20032026
most citedStrong Photoluminescence Enhancement of MoS2 through Defect Engineering and Oxygen Bonding

1.2k citations

Showing 2025 · cs.CVShow all

18 papers · 2 filters

cs.CV2025★ 1 cited

Multimodal Skeleton-Based Action Representation Learning via Decomposition and Composition

Hongsong Wang, Heng Fei, Bingxuan Dai +1

Multimodal human action understanding is a significant problem in computer vision, with the central challenge being the effective utilization of the complementarity among diverse m…

cs.CV2025★ 2 cited

Exploring Spatial-Temporal Representation via Star Graph for mmWave Radar-based Human Activity Recognition

Senhao Gao, Junqing Zhang, Luoyu Mei +2

Human activity recognition (HAR) requires extracting accurate spatial-temporal features with human movements. A mmWave radar point cloud-based HAR system suffers from sparsity and…

cs.CV2025★ 1 cited

Gestura: A LVLM-Powered System Bridging Motion and Semantics for Real-Time Free-Form Gesture Understanding

Zhuoming Li, Aitong Liu, Mengxi Jia +5

Free-form gesture understanding is highly appealing for human-computer interaction, as it liberates users from the constraints of predefined gesture categories. However, the sole e…

cs.CV2025★ 2 cited

Improving Generalized Visual Grounding with Instance-aware Joint Learning

Ming Dai, Wenxuan Cheng, Jiang-Jiang Liu +4

Generalized visual grounding tasks, including Generalized Referring Expression Comprehension (GREC) and Segmentation (GRES), extend the classical visual grounding paradigm by accom…

cs.CV2025★ 4 cited

Efficient Diffusion-Based 3D Human Pose Estimation with Hierarchical Temporal Pruning

Yuquan Bi, Hongsong Wang, Xinli Shi +3

Diffusion models have demonstrated strong capabilities in generating high-fidelity 3D human poses, yet their iterative nature and multi-hypothesis requirements incur substantial co…

cs.CV2025★ 3 cited

Probabilistic Temporal Masked Attention for Cross-view Online Action Detection

Liping Xie, Yang Tan, Shicheng Jing +2

As a critical task in video sequence classification within computer vision, Online Action Detection (OAD) has garnered significant attention. The sensitivity of mainstream OAD mode…