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20172024
most citedBoosting Night-time Scene Parsing with Learnable Frequency

39 citations · 96 across the 23 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

cs.CV2024★ 1 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★ 1 cited

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★ 1 cited

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…

cs.CV2024

Multi-Memory Matching for Unsupervised Visible-Infrared Person Re-Identification

Jiangming Shi, Xiangbo Yin, Yeyun Chen +4

Unsupervised visible-infrared person re-identification (USL-VI-ReID) is a promising yet challenging retrieval task. The key challenges in USL-VI-ReID are to effectively generate ps…