2 code implementations • 16 Apr 2024 • Ivan DeAndres-Tame, Ruben Tolosana, Pietro Melzi, Ruben Vera-Rodriguez, Minchul Kim, Christian Rathgeb, Xiaoming Liu, Aythami Morales, Julian Fierrez, Javier Ortega-Garcia, Zhizhou Zhong, Yuge Huang, Yuxi Mi, Shouhong Ding, Shuigeng Zhou, Shuai He, Lingzhi Fu, Heng Cong, Rongyu Zhang, Zhihong Xiao, Evgeny Smirnov, Anton Pimenov, Aleksei Grigorev, Denis Timoshenko, Kaleb Mesfin Asfaw, Cheng Yaw Low, Hao liu, Chuyi Wang, Qing Zuo, Zhixiang He, Hatef Otroshi Shahreza, Anjith George, Alexander Unnervik, Parsa Rahimi, Sébastien Marcel, Pedro C. Neto, Marco Huber, Jan Niklas Kolf, Naser Damer, Fadi Boutros, Jaime S. Cardoso, Ana F. Sequeira, Andrea Atzori, Gianni Fenu, Mirko Marras, Vitomir Štruc, Jiang Yu, Zhangjie Li, Jichun Li, Weisong Zhao, Zhen Lei, Xiangyu Zhu, Xiao-Yu Zhang, Bernardo Biesseck, Pedro Vidal, Luiz Coelho, Roger Granada, David Menotti
Synthetic data is gaining increasing relevance for training machine learning models.
1 code implementation • 15 Mar 2024 • Yuting Xu, Jian Liang, Lijun Sheng, Xiao-Yu Zhang
The deepfake threats to society and cybersecurity have provoked significant public apprehension, driving intensified efforts within the realm of deepfake video detection.
no code implementations • 28 Nov 2023 • Siyu Xing, Jie Cao, Huaibo Huang, Xiao-Yu Zhang, Ran He
First, we propose a coupling strategy to straighten trajectories, creating couplings between image and noise samples under diffusion model guidance.
1 code implementation • 17 Nov 2023 • Pietro Melzi, Ruben Tolosana, Ruben Vera-Rodriguez, Minchul Kim, Christian Rathgeb, Xiaoming Liu, Ivan DeAndres-Tame, Aythami Morales, Julian Fierrez, Javier Ortega-Garcia, Weisong Zhao, Xiangyu Zhu, Zheyu Yan, Xiao-Yu Zhang, Jinlin Wu, Zhen Lei, Suvidha Tripathi, Mahak Kothari, Md Haider Zama, Debayan Deb, Bernardo Biesseck, Pedro Vidal, Roger Granada, Guilherme Fickel, Gustavo Führ, David Menotti, Alexander Unnervik, Anjith George, Christophe Ecabert, Hatef Otroshi Shahreza, Parsa Rahimi, Sébastien Marcel, Ioannis Sarridis, Christos Koutlis, Georgia Baltsou, Symeon Papadopoulos, Christos Diou, Nicolò Di Domenico, Guido Borghi, Lorenzo Pellegrini, Enrique Mas-Candela, Ángela Sánchez-Pérez, Andrea Atzori, Fadi Boutros, Naser Damer, Gianni Fenu, Mirko Marras
Despite the widespread adoption of face recognition technology around the world, and its remarkable performance on current benchmarks, there are still several challenges that must be covered in more detail.
no code implementations • 29 Aug 2023 • Haichao Shi, Mandi Luo, Xiao-Yu Zhang, Ran He
Visible-Infrared person re-identification (VI-ReID) is an important and challenging task in intelligent video surveillance.
1 code implementation • 18 Jul 2023 • Kaiwei Zhang, Junchi Yu, Haichao Shi, Jian Liang, Xiao-Yu Zhang
Our intuition is to exploit the diverse counterfactual evidence of an event graph to serve as multi-view interpretations, which are further aggregated for robust rumor detection results.
no code implementations • 26 Jun 2023 • Weisong Zhao, Xiangyu Zhu, Zhixiang He, Xiao-Yu Zhang, Zhen Lei
Transformers have emerged as the superior choice for face recognition tasks, but their insufficient platform acceleration hinders their application on mobile devices.
no code implementations • 10 Apr 2023 • Weisong Zhao, Xiangyu Zhu, Kaiwen Guo, Xiao-Yu Zhang, Zhen Lei
Therefore, we seek to probe the target logits to extract the primary knowledge related to face identity, and discard the others, to make the distillation more achievable for the student network.
2 code implementations • 2023 2023 • Ziming Yang, Jian Liang, Yuting Xu, Xiao-Yu Zhang, Ran He
A relation learning module masks partial correlations between regions to reduce redundancy and then propagates the relational information across regions to capture the irregularity from a global view of the graph.
no code implementations • 2 Feb 2023 • Yuwei Xia, Mengqi Zhang, Qiang Liu, Shu Wu, Xiao-Yu Zhang
Most existing works focus on exploring evolutionary information in history to obtain effective temporal embeddings for entities and relations, but they ignore the variation in evolution patterns of facts, which makes them struggle to adapt to future data with different evolution patterns.
no code implementations • 22 Nov 2022 • Siyu Xing, Chen Gong, Hewei Guo, Xiao-Yu Zhang, Xinwen Hou, Yu Liu
Existing GAN inversion methods work brilliantly in reconstructing high-quality (HQ) images while struggling with more common low-quality (LQ) inputs in practical application.
no code implementations • 10 Jun 2022 • Ziming Yang, Jian Liang, Chaoyou Fu, Mandi Luo, Xiao-Yu Zhang
Secondly, we devise a face synthesis module (FSM) to generate a large number of images with stochastic combinations of disentangled identities and attributes for enriching the attribute diversity of synthetic images.
no code implementations • 10 May 2021 • Xiao-Yu Zhang, Haichao Shi, Changsheng Li, Xinchu Shi
Weakly supervised action localization is a challenging task with extensive applications, which aims to identify actions and the corresponding temporal intervals with only video-level annotations available.
1 code implementation • 19 Aug 2020 • Xiao-Yu Zhang, Wei Wang, Xianyu Qi, Ziwei Liao
Adding such plane features in stereo SLAM system reduces the drift error and refines the performance.
no code implementations • 28 Jul 2020 • Xiao-Yu Zhang, Ajmal Mian, Rohit Gupta, Nazanin Rahnavard, Mubarak Shah
We also propose an anomaly detection method to identify the target class in a Trojaned network.
Ranked #1 on Adversarial Defense on TrojAI Round 1
no code implementations • 28 Jul 2020 • Changsheng Li, Handong Ma, Zhao Kang, Ye Yuan, Xiao-Yu Zhang, Guoren Wang
Unsupervised active learning has attracted increasing attention in recent years, where its goal is to select representative samples in an unsupervised setting for human annotating.
1 code implementation • 11 Apr 2020 • Ziwei Liao, Wei Wang, Xianyu Qi, Xiao-Yu Zhang, Lin Xue, Jianzhen Jiao, Ran Wei
As objects are often observed locally, the proposed algorithm uses the symmetrical properties of indoor artificial objects to estimate the occluded parts to obtain more accurate quadric parameters.
no code implementations • 27 Nov 2019 • Xiao-Yu Zhang, Changsheng Li, Haichao Shi, Xiaobin Zhu, Peng Li, Jing Dong
The point process is a solid framework to model sequential data, such as videos, by exploring the underlying relevance.
1 code implementation • 10 Nov 2019 • Jingqing Zhang, Xiao-Yu Zhang, Kai Sun, Xian Yang, Chengliang Dai, Yike Guo
The extraction of phenotype information which is naturally contained in electronic health records (EHRs) has been found to be useful in various clinical informatics applications such as disease diagnosis.
5 code implementations • 12 Oct 2019 • Zekun Li, Zeyu Cui, Shu Wu, Xiao-Yu Zhang, Liang Wang
The key of this task is to model feature interactions among different feature fields.
Ranked #9 on Click-Through Rate Prediction on Avazu
no code implementations • 11 Oct 2019 • Ziwei Liao, Jieqi Shi, Xianyu Qi, Xiao-Yu Zhang, Wei Wang, Yijia He, Ran Wei, Xiao Liu
Robust visual localization for urban vehicles remains challenging and unsolved.
4 code implementations • 17 Aug 2019 • Xiao-Yu Zhang, Jingqing Zhang, Kai Sun, Xian Yang, Chengliang Dai, Yike Guo
The training procedure of OmiVAE is comprised of an unsupervised phase without the classifier and a supervised phase with the classifier.
1 code implementation • 31 Jul 2019 • Zekun Li, Zeyu Cui, Shu Wu, Xiao-Yu Zhang, Liang Wang
To achieve the alignment, we minimize the distances between distributions with unsupervised adversarial learning, and also the distances between some annotated compatible items which play the role of anchor points to help align.
no code implementations • 26 Jul 2019 • Ruize Han, Yujun Zhang, Wei Feng, Chenxing Gong, Xiao-Yu Zhang, Jiewen Zhao, Liang Wan, Song Wang
However, for such collaborative analysis, the first step is to associate people, referred to as subjects in this paper, across these two views.
no code implementations • 28 Feb 2019 • Ce Ju, Zheng Wang, Cheng Long, Xiao-Yu Zhang, Gao Cong, Dong Eui Chang
Forecasting the motion of surrounding obstacles (vehicles, bicycles, pedestrians and etc.)
Robotics I.2.9; I.2.0
1 code implementation • 21 Feb 2019 • Zeyu Cui, Zekun Li, Shu Wu, Xiao-Yu Zhang, Liang Wang
In this paper, we aim to investigate a practical problem of fashion recommendation by answering the question "which item should we select to match with the given fashion items and form a compatible outfit".
Ranked #1 on Recommendation Systems on Polyvore (Accuracy metric)
no code implementations • 20 Feb 2019 • Xiao-Yu Zhang, Haichao Shi, Changsheng Li, Kai Zheng, Xiaobin Zhu, Lixin Duan
Action recognition in videos has attracted a lot of attention in the past decade.
no code implementations • 18 Dec 2018 • Yunze Gao, Yingying Chen, Jinqiao Wang, Zhen Lei, Xiao-Yu Zhang, Hanqing Lu
In this paper, we propose a novel Recurrent Calibration Network (RCN) for irregular scene text recognition.
no code implementations • 14 Sep 2018 • Ce Ju, Zheng Wang, Xiao-Yu Zhang
Trajectory prediction is a critical technique in the navigation of robots and autonomous vehicles.
no code implementations • 31 Jan 2018 • Haichao Shi, Xiao-Yu Zhang
To handle the problem of embedding secret messages into the specific medium, we design a novel adversarial modules to learn the steganographic algorithm, and simultaneously train three modules called generator, discriminator and steganalyzer.
no code implementations • 6 Jul 2017 • Haichao Shi, Jing Dong, Wei Wang, Yinlong Qian, Xiao-Yu Zhang
Furthermore, a sophisticated steganalysis network is reconstructed for the discriminative network, and the network can better evaluate the performance of the generated images.
no code implementations • 22 Mar 2016 • Changsheng Li, Fan Wei, Junchi Yan, Weishan Dong, Qingshan Liu, Xiao-Yu Zhang, Hongyuan Zha
In this paper, we propose a novel multi-label learning framework, called Multi-Label Self-Paced Learning (MLSPL), in an attempt to incorporate the self-paced learning strategy into multi-label learning regime.