activity
20172024
most citedContrastive Learning for Compact Single Image Dehazing

17 citations · 28 across the 8 of their papers we have counts for

collaborators

16 papers

cs.CV20241 cited

Mutual Information Guided Optimal Transport for Unsupervised Visible-Infrared Person Re-identification

Zhizhong Zhang, Jiangming Wang, Xin Tan +4

Unsupervised visible infrared person re-identification (USVI-ReID) is a challenging retrieval task that aims to retrieve cross-modality pedestrian images without using any label in…

cs.CV2024

FastLGS: Speeding up Language Embedded Gaussians with Feature Grid Mapping

Yuzhou Ji, He Zhu, Junshu Tang +4

The semantically interactive radiance field has always been an appealing task for its potential to facilitate user-friendly and automated real-world 3D scene understanding applicat…

cs.CV2024

Robust Pseudo-label Learning with Neighbor Relation for Unsupervised Visible-Infrared Person Re-Identification

Xiangbo Yin, Jiangming Shi, Yachao Zhang +4

Unsupervised Visible-Infrared Person Re-identification (USVI-ReID) presents a formidable challenge, which aims to match pedestrian images across visible and infrared modalities wit…

cs.CV2024

PromptAD: Learning Prompts with only Normal Samples for Few-Shot Anomaly Detection

Xiaofan Li, Zhizhong Zhang, Xin Tan +4

The vision-language model has brought great improvement to few-shot industrial anomaly detection, which usually needs to design of hundreds of prompts through prompt engineering. F…

cs.CV2024

DEMOS: Dynamic Environment Motion Synthesis in 3D Scenes via Local Spherical-BEV Perception

Jingyu Gong, Min Wang, Wentao Liu +4

Motion synthesis in real-world 3D scenes has recently attracted much attention. However, the static environment assumption made by most current methods usually cannot be satisfied…

cs.CV2024

Learning Commonality, Divergence and Variety for Unsupervised Visible-Infrared Person Re-identification

Jiangming Shi, Xiangbo Yin, Yachao Zhang +3

Unsupervised visible-infrared person re-identification (USVI-ReID) aims to match specified people in infrared images to visible images without annotations, and vice versa. USVI-ReI…