activity
20222026
most citedAttacking Transformers with Feature Diversity Adversarial Perturbation

1 citations · 4 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2026

SceneReGen: Generative Reconstruction of 3D Scenes from a Single Image

Zefan Tian, Yuteng Ye, Yiheng Zhang +5

Single-image 3D scene reconstruction must complete partially observed objects and place them coherently in a shared observation-aligned scene frame. Object-level generative priors…

cs.CV2026

MV2UV: Generating High-quality UV Texture Maps with Multiview Prompts

Zheng Zhang, Qinchuan Zhang, Yuteng Ye +5

Generating high-quality textures for 3D assets is a challenging task. Existing multiview texture generation methods suffer from the multiview inconsistency and missing textures on…

cs.CV2025

Jigsaw3D: Disentangled 3D Style Transfer via Patch Shuffling and Masking

Yuteng Ye, Zheng Zhang, Qinchuan Zhang +5

Controllable 3D style transfer seeks to restyle a 3D asset so that its textures match a reference image while preserving the integrity and multi-view consistency. The prevalent met…

eess.IV2025

CA-Diff: Collaborative Anatomy Diffusion for Brain Tissue Segmentation

Qilong Xing, Zikai Song, Yuteng Ye +5

Segmentation of brain structures from MRI is crucial for evaluating brain morphology, yet existing CNN and transformer-based methods struggle to delineate complex structures accura…

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.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…

cs.CV2023★ 1 cited

Fine-grained Appearance Transfer with Diffusion Models

Yuteng Ye, Guanwen Li, Hang Zhou +7

Image-to-image translation (I2I), and particularly its subfield of appearance transfer, which seeks to alter the visual appearance between images while maintaining structural coher…

cs.CV2023★ 1 cited

Progressive Text-to-Image Diffusion with Soft Latent Direction

YuTeng Ye, Jiale Cai, Hang Zhou +6

In spite of the rapidly evolving landscape of text-to-image generation, the synthesis and manipulation of multiple entities while adhering to specific relational constraints pose e…

cs.CV2023★ 1 cited

NeMF: Inverse Volume Rendering with Neural Microflake Field

Youjia Zhang, Teng Xu, Junqing Yu +5

Recovering the physical attributes of an object's appearance from its images captured under an unknown illumination is challenging yet essential for photo-realistic rendering. Rece…

cs.CV2022

Dynamic Feature Pruning and Consolidation for Occluded Person Re-Identification

YuTeng Ye, Hang Zhou, Jiale Cai +6

Occluded person re-identification (ReID) is a challenging problem due to contamination from occluders. Existing approaches address the issue with prior knowledge cues, such as huma…