no code implementations • 3 Feb 2024 • Yaning Zhang, Zitong Yu, Xiaobin Huang, Linlin Shen, Jianfeng Ren
In this paper, we propose a large-scale, diverse, and fine-grained high-fidelity dataset, namely GenFace, to facilitate the advancement of deepfake detection, which contains a large number of forgery faces generated by advanced generators such as the diffusion-based model and more detailed labels about the manipulation approaches and adopted generators.
no code implementations • 23 Dec 2023 • Jialu Zhang, Xiaoying Yang, Wentao He, Jianfeng Ren, Qian Zhang, Titian Zhao, Ruibin Bai, Xiangjian He, Jiang Liu
A set of rewards measuring the localization accuracy, the accuracy of predicted labels, and the scale consistency among nearby patches are designed in the agent to guide the scale optimization.
no code implementations • 16 Nov 2023 • Wentao He, Yuchen Yan, Jianfeng Ren, Ruibin Bai, Xudong Jiang
Deep neural networks have been applied to audio spectrograms for respiratory sound classification.
no code implementations • 25 May 2023 • Chenglin Yao, Jianfeng Ren, Ruibin Bai, Heshan Du, Jiang Liu, Xudong Jiang
Detecting 3D mask attacks to a face recognition system is challenging.
no code implementations • 6 Mar 2023 • Shuhong Ye, Weikai Kong, Chenglin Yao, Jianfeng Ren, Xudong Jiang
Specifically, we first extract video features using a TimeSformer and text features using a BERT from the target application domain, and utilize CLIP to extract a pair of visual-text features from the general-knowledge domain through the domain-specific learning.
no code implementations • 20 Sep 2022 • Shihe Wang, Jianfeng Ren, Xiaoyu Lian, Ruibin Bai, Xudong Jiang
In this paper, we propose a feature augmentation method employing a stack auto-encoder to reduce the noise in the data and boost the discriminant power of naive Bayes.
no code implementations • 20 Sep 2022 • Shihe Wang, Jianfeng Ren, Ruibin Bai, Yuan YAO, Xudong Jiang
Thus, we propose a Max-Dependency-Min-Divergence (MDmD) criterion that maximizes both the discriminant information and generalization ability of the discretized data.
no code implementations • 24 Nov 2021 • Wentao He, Jianfeng Ren, Ruibin Bai, Xudong Jiang
Based on the two intrinsic natures of RPM problem, visual recognition and logical reasoning, we propose a Two-stage Rule-Induction Visual Reasoner (TRIVR), which consists of a perception module and a reasoning module, to tackle the challenges of real-world visual recognition and subsequent logical reasoning tasks, respectively.
no code implementations • 24 Nov 2021 • Zeyu Wang, Chenglin Yao, Jianfeng Ren, Xudong Jiang
In radar activity recognition, 2D signal representations such as spectrogram, cepstrum and cadence velocity diagram are often utilized, while range information is often neglected.
no code implementations • 24 Nov 2021 • Shiliang Chen, Wentao He, Jianfeng Ren, Xudong Jiang
Radar gait recognition is robust to light variations and less infringement on privacy.
no code implementations • 24 Nov 2021 • Jialu Zhang, Qian Zhang, Jianfeng Ren, Yitian Zhao, Jiang Liu
Multi-label image classification is a fundamental but challenging task in computer vision.
no code implementations • 24 Nov 2021 • Ruxin Ding, Jianfeng Ren, Heng Yu, Jiawei Li
To tackle this problem, we propose a method for dynamic texture recognition using PDV hashing and dictionary learning on multi-scale volume local binary pattern (PHD-MVLBP).
1 code implementation • 22 Nov 2021 • Shihe Wang, Jianfeng Ren, Ruibin Bai
Data discretization is important in naive Bayes.
no code implementations • 9 Mar 2021 • Wentao He, Jianfeng Ren, Ruibin Bai
Raven's Progressive Matrices (RPMs) are frequently used in testing human's visual reasoning ability.
no code implementations • 19 Feb 2021 • Ruibin Bai, Xinan Chen, Zhi-Long Chen, Tianxiang Cui, Shuhui Gong, Wentao He, Xiaoping Jiang, Huan Jin, Jiahuan Jin, Graham Kendall, Jiawei Li, Zheng Lu, Jianfeng Ren, Paul Weng, Ning Xue, Huayan Zhang
The Vehicle Routing Problem (VRP) is one of the most intensively studied combinatorial optimisation problems for which numerous models and algorithms have been proposed.