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20232026
most citedTurn Fake into Real: Adversarial Head Turn Attacks Against Deepfake Detection

2 citations · 4 across the 11 of their papers we have counts for

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12 papers · 1 filter

cs.CV2026

PoInit-of-View: Poisoning Initialization of Views Transfers Across Multiple 3D Reconstruction Systems

Weijie Wang, Songlong Xing, Zhengyu Zhao +2

Poisoning input views of 3D reconstruction systems has been recently studied. However, we identify that existing studies simply backpropagate adversarial gradients through the 3D r…

cs.CV2026

Finetune Like You Pretrain: Boosting Zero-shot Adversarial Robustness in Vision-language Models

Songlong Xing, Weijie Wang, Zhengyu Zhao +3

Despite their impressive zero-shot abilities, vision-language models such as CLIP have been shown to be susceptible to adversarial attacks. To enhance its adversarial robustness, r…

cs.CV2026

In defense of the two-stage framework for open-set domain adaptive semantic segmentation

Wenqi Ren, Weijie Wang, Meng Zheng +4

Open-Set Domain Adaptation for Semantic Segmentation (OSDA-SS) presents a significant challenge, as it requires both domain adaptation for known classes and the distinction of unkn…

cs.CV2026

POCI-Diff: 3D-Layout Guided Diffusion for Controllable Synthetic Surveillance Data Generation

Andrea Rigo, Luca Stornaiuolo, Weijie Wang +3

Training robust visual surveillance models requires large-scale datasets with precise spatial annotations, yet collecting real surveillance data is costly, privacy-sensitive, and o…

cs.CV2025

FreeInsert: Disentangled Text-Guided Object Insertion in 3D Gaussian Scene without Spatial Priors

Chenxi Li, Weijie Wang, Qiang Li +3

Text-driven object insertion in 3D scenes is an emerging task that enables intuitive scene editing through natural language. However, existing 2D editing-based methods often rely o…

cs.CV2025

Causal Disentanglement for Robust Long-tail Medical Image Generation

Weizhi Nie, Zichun Zhang, Weijie Wang +3

Counterfactual medical image generation effectively addresses data scarcity and enhances the interpretability of medical images. However, due to the complex and diverse pathologica…