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20232026
most citedCoupled Mamba: Enhanced Multi-modal Fusion with Coupled State Space Model

5 citations · 16 across the 34 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.CV2024

Video Anomaly Detection with Motion and Appearance Guided Patch Diffusion Model

Hang Zhou, Jiale Cai, Yuteng Ye +5

A recent endeavor in one class of video anomaly detection is to leverage diffusion models and posit the task as a generation problem, where the diffusion model is trained to recove…

cs.CV2024

Ref-GS: Directional Factorization for 2D Gaussian Splatting

Youjia Zhang, Anpei Chen, Yumin Wan +4

In this paper, we introduce Ref-GS, a novel approach for directional light factorization in 2D Gaussian splatting, which enables photorealistic view-dependent appearance rendering…

cs.CV2024★ 1 cited

Autogenic Language Embedding for Coherent Point Tracking

Zikai Song, Ying Tang, Run Luo +4

Point tracking is a challenging task in computer vision, aiming to establish point-wise correspondence across long video sequences. Recent advancements have primarily focused on te…

cs.CV2024★ 2 cited

TIGER: Text-Instructed 3D Gaussian Retrieval and Coherent Editing

Teng Xu, Jiamin Chen, Peng Chen +3

Editing objects within a scene is a critical functionality required across a broad spectrum of applications in computer vision and graphics. As 3D Gaussian Splatting (3DGS) emerges…

cs.AI2024★ 5 cited

Coupled Mamba: Enhanced Multi-modal Fusion with Coupled State Space Model

Wenbing Li, Hang Zhou, Junqing Yu +2

The essence of multi-modal fusion lies in exploiting the complementary information inherent in diverse modalities. However, prevalent fusion methods rely on traditional neural arch…

cs.CR2024★ 1 cited

Attacking Transformers with Feature Diversity Adversarial Perturbation

Chenxing Gao, Hang Zhou, Junqing Yu +4

Understanding the mechanisms behind Vision Transformer (ViT), particularly its vulnerability to adversarial perturba tions, is crucial for addressing challenges in its real-world a…