1 code implementation • 11 Dec 2023 • Jiyan He, Weitao Feng, Yaosen Min, Jingwei Yi, Kunsheng Tang, Shuai Li, Jie Zhang, Kejiang Chen, Wenbo Zhou, Xing Xie, Weiming Zhang, Nenghai Yu, Shuxin Zheng
In this study, we aim to raise awareness of the dangers of AI misuse in science, and call for responsible AI development and use in this domain.
no code implementations • 24 Oct 2023 • Zhiling Zhang, Jie Zhang, Kui Zhang, Wenbo Zhou, Weiming Zhang, Nenghai Yu
To address these concerns, researchers are actively exploring the concept of ``unlearnable examples", by adding imperceptible perturbation to data in the model training stage, which aims to prevent the model from learning discriminate features of the target face.
1 code implementation • ICCV 2023 • Tianyi Wei, Dongdong Chen, Wenbo Zhou, Jing Liao, Weiming Zhang, Gang Hua, Nenghai Yu
Even though they can enable very fine-grained local control, such interaction modes are inefficient for the editing conditions that can be easily specified by language descriptions or reference images.
1 code implementation • 19 Feb 2023 • Aishan Liu, Jun Guo, Jiakai Wang, Siyuan Liang, Renshuai Tao, Wenbo Zhou, Cong Liu, Xianglong Liu, DaCheng Tao
In this paper, we take the first step toward the study of adversarial attacks targeted at X-ray prohibited item detection, and reveal the serious threats posed by such attacks in this safety-critical scenario.
1 code implementation • 7 Dec 2022 • Hanqing Zhao, Dianmo Sheng, Jianmin Bao, Dongdong Chen, Dong Chen, Fang Wen, Lu Yuan, Ce Liu, Wenbo Zhou, Qi Chu, Weiming Zhang, Nenghai Yu
We demonstrate for the first time that using a text2image model to generate images or zero-shot recognition model to filter noisily crawled images for different object categories is a feasible way to make Copy-Paste truly scalable.
Ranked #7 on Instance Segmentation on LVIS v1.0 val
2 code implementations • 14 Apr 2022 • Hengyue Pan, Yixin Chen, Xin Niu, Wenbo Zhou, Dongsheng Li
The most important motivation of this research is that we can use the straightforward element-wise multiplication operation to replace the image convolution in the frequency domain based on the Cross-Correlation Theorem, which obviously reduces the computation complexity.
no code implementations • 2 Mar 2022 • Hanqing Zhao, Wenbo Zhou, Dongdong Chen, Weiming Zhang, Nenghai Yu
After pre-training with our method, the model will then be partially fine-tuned for deepfake detection task.
1 code implementation • 19 Dec 2021 • Qidong Huang, Jie Zhang, Wenbo Zhou, WeimingZhang, Nenghai Yu
To this end, we first imitate the target manipulation model with a surrogate model, and then devise a poison perturbation generator to obtain the desired venom.
1 code implementation • CVPR 2022 • Tianyi Wei, Dongdong Chen, Wenbo Zhou, Jing Liao, Zhentao Tan, Lu Yuan, Weiming Zhang, Nenghai Yu
Hair editing is an interesting and challenging problem in computer vision and graphics.
1 code implementation • 25 Jul 2021 • Junjie Li, Jingyao Li, Wenbo Zhou, Shuai Lü
The training of generative adversarial networks (GANs) is usually vulnerable to mode collapse and vanishing gradients.
2 code implementations • 15 Apr 2021 • Tianyi Wei, Dongdong Chen, Wenbo Zhou, Jing Liao, Weiming Zhang, Lu Yuan, Gang Hua, Nenghai Yu
This paper studies the problem of StyleGAN inversion, which plays an essential role in enabling the pretrained StyleGAN to be used for real image editing tasks.
1 code implementation • CVPR 2021 • Hanqing Zhao, Wenbo Zhou, Dongdong Chen, Tianyi Wei, Weiming Zhang, Nenghai Yu
Most of them model deepfake detection as a vanilla binary classification problem, i. e, first use a backbone network to extract a global feature and then feed it into a binary classifier (real/fake).
no code implementations • CVPR 2021 • Honggu Liu, Xiaodan Li, Wenbo Zhou, Yuefeng Chen, Yuan He, Hui Xue, Weiming Zhang, Nenghai Yu
The remarkable success in face forgery techniques has received considerable attention in computer vision due to security concerns.
no code implementations • CVPR 2021 • Tianyi Wei, Dongdong Chen, Wenbo Zhou, Jing Liao, Hanqing Zhao, Weiming Zhang, Nenghai Yu
Image matting is a fundamental and challenging problem in computer vision and graphics.
no code implementations • 1 Jul 2020 • Shuai Han, Wenbo Zhou, Shuai Lü, Jiayu Yu
Deep Deterministic Policy Gradient (DDPG) algorithm is one of the most well-known reinforcement learning methods.
no code implementations • 19 Jun 2020 • Shuai Han, Wenbo Zhou, Jing Liu, Shuai Lü
Effective exploration for noisy networks is one of the most important issues in deep reinforcement learning.
1 code implementation • 25 Feb 2020 • Jie Zhang, Dong-Dong Chen, Jing Liao, Han Fang, Weiming Zhang, Wenbo Zhou, HAO CUI, Nenghai Yu
In this way, when the attacker trains one surrogate model by using the input-output pairs of the target model, the hidden watermark will be learned and extracted afterward.
no code implementations • 13 Dec 2019 • Shuai Lü, Shuai Han, Wenbo Zhou, Junwei Zhang
In this paper, we propose Recruitment-imitation Mechanism (RIM) for evolutionary reinforcement learning, a scalable framework that combines advantages of the three methods mentioned above.
1 code implementation • ICCV 2019 • Hang Zhou, Kejiang Chen, Weiming Zhang, Han Fang, Wenbo Zhou, Nenghai Yu
We propose a Denoiser and UPsampler Network (DUP-Net) structure as defenses for 3D adversarial point cloud classification, where the two modules reconstruct surface smoothness by dropping or adding points.