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20182026
most citedDiscovering Underlying Person Structure Pattern with Relative Local Distance for Person Re-identification

5 citations · 10 across the 5 of their papers we have counts for

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12 papers · 1 filter

cs.CV2026

EvTrajGS: Accurate and Efficient 3D Gaussian Splatting from Unposed Event Streams

Zixuan Chen, Jiakai Zhang, Junhao Dong +4

Event cameras, with high temporal resolution, high dynamic range, and asynchronous sensing characteristics, have shown great potential for dense 3D reconstruction. Traditional reco…

cs.CV2025

SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation

Jiahao Zhu, Zixuan Chen, Guangcong Wang +2

Recent advancements in text-to-3D generation improve the visual quality of Score Distillation Sampling (SDS) and its variants by directly connecting Consistency Distillation (CD) t…

cs.CV20251 cited

DiffV2IR: Visible-to-Infrared Diffusion Model via Vision-Language Understanding

Lingyan Ran, Lidong Wang, Guangcong Wang +2

The task of translating visible-to-infrared images (V2IR) is inherently challenging due to three main obstacles: 1) achieving semantic-aware translation, 2) managing the diverse wa…

cs.CV2024

GuardSplat: Efficient and Robust Watermarking for 3D Gaussian Splatting

Zixuan Chen, Guangcong Wang, Jiahao Zhu +2

3D Gaussian Splatting (3DGS) has recently created impressive 3D assets for various applications. However, considering security, capacity, invisibility, and training efficiency, the…

cs.CV2021

Confidence-guided Adaptive Gate and Dual Differential Enhancement for Video Salient Object Detection

Peijia Chen, Jianhuang Lai, Guangcong Wang +1

Video salient object detection (VSOD) aims to locate and segment the most attractive object by exploiting both spatial cues and temporal cues hidden in video sequences. However, sp…

cs.CV2021

Solving Inefficiency of Self-supervised Representation Learning

Guangrun Wang, Keze Wang, Guangcong Wang +2

Self-supervised learning (especially contrastive learning) has attracted great interest due to its huge potential in learning discriminative representations in an unsupervised mann…