activity
20162026
most citedIterativePFN: True Iterative Point Cloud Filtering

58 citations · 194 across the 13 of their papers we have counts for

collaborators

23 papers

cs.CV2026

Vision-Language Guided Hyperspectral Object Tracking via Semantics Fusion and Contextual Template Updating

Rui Yao, Yuhong Zhang, Kunyang Sun +4

Hyperspectral object tracking (HOT) leverages the rich spectral information provided by hyperspectral videos (HSVs), offering substantial potential for object tracking. However, ef…

cs.CV2025

DTTNet: Improving Video Shadow Detection via Dark-Aware Guidance and Tokenized Temporal Modeling

Zhicheng Li, Kunyang Sun, Rui Yao +5

Video shadow detection confronts two entwined difficulties: distinguishing shadows from complex backgrounds and modeling dynamic shadow deformations under varying illumination. To…

cs.CV2025★ 21 cited

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution

Zhiwen Shao, Yifan Cheng, Feiran Li +4

Facial micro-expression recognition (MER) is a challenging problem, due to transient and subtle micro-expression (ME) actions. Most existing methods depend on hand-crafted features…

cs.CV2025

Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking

Shenglan Li, Rui Yao, Yong Zhou +5

To reduce the reliance on large-scale annotations, self-supervised RGB-T tracking approaches have garnered significant attention. However, the omission of the object region by erro…

cs.CV2024

CurvNet: Latent Contour Representation and Iterative Data Engine for Curvature Angle Estimation

Zhiwen Shao, Yichen Yuan, Lizhuang Ma +1

Curvature angle is a quantitative measurement of a curve, in which Cobb angle is customized for spinal curvature. Automatic Cobb angle measurement from X-ray images is crucial for…

cs.CV2024★ 24 cited

Facial Action Unit Detection by Adaptively Constraining Self-Attention and Causally Deconfounding Sample

Zhiwen Shao, Hancheng Zhu, Yong Zhou +4

Facial action unit (AU) detection remains a challenging task, due to the subtlety, dynamics, and diversity of AUs. Recently, the prevailing techniques of self-attention and causal…