Search Results for author: Wentian Zhang

Found 14 papers, 8 papers with code

Fingerprint Presentation Attack Detector Using Global-Local Model

no code implementations20 Feb 2024 Haozhe Liu, Wentian Zhang, Feng Liu, Haoqian Wu, Linlin Shen

While by using the texture in-painting-based local module, a local spoofness score predicted from fingerprint patches is obtained.

Dual Teacher Knowledge Distillation with Domain Alignment for Face Anti-spoofing

no code implementations2 Jan 2024 Zhe Kong, Wentian Zhang, Tao Wang, Kaihao Zhang, Yuexiang Li, Xiaoying Tang, Wenhan Luo

In this paper, we propose a domain adversarial attack (DAA) method to mitigate the training instability problem by adding perturbations to the input images, which makes them indistinguishable across domains and enables domain alignment.

Adversarial Attack Face Anti-Spoofing +2

The Effect of Antitrust Enforcement on Venture Capital Investments

no code implementations21 Dec 2023 Wentian Zhang

This paper studies the effect of antitrust enforcement on venture capital (VC) investments and VC-backed companies.

BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion

2 code implementations ICCV 2023 Jinheng Xie, Yuexiang Li, Yawen Huang, Haozhe Liu, Wentian Zhang, Yefeng Zheng, Mike Zheng Shou

As such paired data is time-consuming and labor-intensive to acquire and restricted to a closed set, this potentially becomes the bottleneck for applications in an open world.

Conditional Text-to-Image Synthesis Denoising

Dynamically Masked Discriminator for Generative Adversarial Networks

1 code implementation13 Jun 2023 Wentian Zhang, Haozhe Liu, Bing Li, Jinheng Xie, Yawen Huang, Yuexiang Li, Yefeng Zheng, Bernard Ghanem

By treating the generated data in training as a stream, we propose to detect whether the discriminator slows down the learning of new knowledge in generated data.

Continual Learning

Improving GAN Training via Feature Space Shrinkage

1 code implementation2 Mar 2023 Haozhe Liu, Wentian Zhang, Bing Li, Haoqian Wu, Nanjun He, Yawen Huang, Yuexiang Li, Bernard Ghanem, Yefeng Zheng

The evaluation results demonstrate that our AdaptiveMix can facilitate the training of GANs and effectively improve the image quality of generated samples.

Out of Distribution (OOD) Detection

AdaptiveMix: Improving GAN Training via Feature Space Shrinkage

1 code implementation CVPR 2023 Haozhe Liu, Wentian Zhang, Bing Li, Haoqian Wu, Nanjun He, Yawen Huang, Yuexiang Li, Bernard Ghanem, Yefeng Zheng

The evaluation results demonstrate that our AdaptiveMix can facilitate the training of GANs and effectively improve the image quality of generated samples.

Out of Distribution (OOD) Detection

Decoupled Mixup for Generalized Visual Recognition

1 code implementation26 Oct 2022 Haozhe Liu, Wentian Zhang, Jinheng Xie, Haoqian Wu, Bing Li, Ziqi Zhang, Yuexiang Li, Yawen Huang, Bernard Ghanem, Yefeng Zheng

Since the observation is that noise-prone regions such as textural and clutter backgrounds are adverse to the generalization ability of CNN models during training, we enhance features from discriminative regions and suppress noise-prone ones when combining an image pair.

A Uniform Representation Learning Method for OCT-based Fingerprint Presentation Attack Detection and Reconstruction

no code implementations25 Sep 2022 Wentian Zhang, Haozhe Liu, Feng Liu, Raghavendra Ramachandra

For reconstruction performance, our method achieves the best performance with 0. 834 mIOU and 0. 937 PA. By comparing with the recognition performance on surface 2D fingerprints, the effectiveness of our proposed method on high quality subsurface fingerprint reconstruction is further proved.

Representation Learning Semantic Segmentation

FRT-PAD: Effective Presentation Attack Detection Driven by Face Related Task

1 code implementation22 Nov 2021 Wentian Zhang, Haozhe Liu, Feng Liu, Raghavendra Ramachandra, Christoph Busch

The proposed method, first introduces task specific features from other face related task, then, we design a Cross-Modal Adapter using a Graph Attention Network (GAT) to re-map such features to adapt to PAD task.

Attribute Face Presentation Attack Detection +2

Fingerprint Presentation Attack Detection by Channel-wise Feature Denoising

1 code implementation15 Nov 2021 Feng Liu, Zhe Kong, Haozhe Liu, Wentian Zhang, Linlin Shen

The proposed method learns important features of fingerprint images by weighing the importance of each channel and identifying discriminative channels and "noise" channels.

Denoising

Taming Self-Supervised Learning for Presentation Attack Detection: De-Folding and De-Mixing

1 code implementation9 Sep 2021 Zhe Kong, Wentian Zhang, Feng Liu, Wenhan Luo, Haozhe Liu, Linlin Shen, Raghavendra Ramachandra

Even though there are numerous Presentation Attack Detection (PAD) techniques based on both deep learning and hand-crafted features, the generalization of PAD for unknown PAI is still a challenging problem.

Self-Supervised Learning

A Zero-Shot based Fingerprint Presentation Attack Detection System

no code implementations12 Feb 2020 Haozhe Liu, Wentian Zhang, Guojie Liu, Feng Liu

Therefore, we propose a novel Zero-Shot Presentation Attack Detection Model to guarantee the generalization of the PAD model.

Clustering

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