1 code implementation • NAACL 2022 • Meihan Tong, Bin Xu, Shuai Wang, Meihuan Han, Yixin Cao, Jiangqi Zhu, Siyu Chen, Lei Hou, Juanzi Li
Event extraction aims to identify an event and then extract the arguments participating in the event.
no code implementations • CCL 2021 • Xuehui Lu, Huidan Xu, Siyu Chen, Bin Li
“先秦汉语在汉语史研究上具有重要地位, 然而以往的研究始终没有形成结构化的先秦词汇资源, 难以满足古汉语信息处理和跨语言对比的研究需要。国际上以英文词网(WordNet)的义类架构为基础, 已经建立了数十种语言的词网, 已经成为多语言自然语言处理和跨语言对比的基础资源。本文综述了国内外各种词网的构建情况, 特别是古代语言的词网和汉语词网, 然后详细介绍了先秦词网的构建和校正过程, 构建起了涵盖43591个词语、61227个义项、17975个义类的先秦汉语词网。本文还通过与古梵语词网的跨语言对比, 尝试分析这两种古老语言在词汇上的共性和差异, 初步验证先秦词网的有效性。”
no code implementations • 26 Jul 2023 • Siyu Chen, Mengdi Wang, Zhuoran Yang
The goal of the leader is to find her optimal policy, which yields the optimal expected total return, by interacting with the follower and learning from data.
no code implementations • 22 May 2023 • Siyu Chen, Jing Na, Yingbo Huang
Persistent excitation is often recognized as a sufficient condition to exponentially converge in the field of parameter estimation.
1 code implementation • CVPR 2023 • Haoxuan Che, Siyu Chen, Hao Chen
Medical images usually suffer from image degradation in clinical practice, leading to decreased performance of deep learning-based models.
no code implementations • 26 Mar 2023 • Marcel Reimann, Jungeun Won, Hiroyuki Takahashi, Antonio Yaghy, Yunchan Hwang, Stefan Ploner, Junhong Lin, Jessica Girgis, Kenneth Lam, Siyu Chen, Nadia K. Waheed, Andreas Maier, James G. Fujimoto
Recent advances in optical coherence tomography such as the development of high speed ultrahigh resolution scanners and corresponding signal processing techniques may reveal new potential biomarkers in retinal diseases.
no code implementations • 20 Mar 2023 • Siyu Chen, Yitan Wang, Zhaoran Wang, Zhuoran Yang
We study the offline contextual bandit problem, where we aim to acquire an optimal policy using observational data.
no code implementations • EITCE '22: Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering 2023 • Siyu Chen, Yiling Liu, Jinhe Su, Ruixin Zheng, Zhihui Chen, Lefan Wang
In this paper, we use Deformable DETR as the baseline model and modify it on top of that.
Ranked #1 on
Vessel Detection
on Vessel detection Dateset
no code implementations • 15 Mar 2023 • Siyu Chen, Jibang Wu, Yifan Wu, Zhuoran Yang
Such a problem is modeled as a Stackelberg game between the principal and the agent, where the principal announces a scoring rule that specifies the payment, and then the agent then chooses an effort level that maximizes her own profit and reports the information.
no code implementations • 22 Feb 2023 • Yunchan Hwang, Jungeun Won, Antonio Yaghy, Hiroyuki Takahashi, Jessica M. Girgis, Kenneth Lam, Siyu Chen, Eric M. Moult, Stefan B. Ploner, Andreas Maier, Nadia K. Waheed, James G. Fujimoto
Optical coherence tomography angiography (OCTA) can visualize vasculature structures, but provides limited information about the blood flow speeds.
1 code implementation • 24 Dec 2022 • Dengjie Li, Siyu Chen, Yujie Zhong, Lin Ma
In person re-identification (ReID) tasks, many works explore the learning of part features to improve the performance over global image features.
Ranked #2 on
Person Re-Identification
on Occluded-DukeMTMC
7 code implementations • 5 Oct 2022 • Silvio Giancola, Anthony Cioppa, Adrien Deliège, Floriane Magera, Vladimir Somers, Le Kang, Xin Zhou, Olivier Barnich, Christophe De Vleeschouwer, Alexandre Alahi, Bernard Ghanem, Marc Van Droogenbroeck, Abdulrahman Darwish, Adrien Maglo, Albert Clapés, Andreas Luyts, Andrei Boiarov, Artur Xarles, Astrid Orcesi, Avijit Shah, Baoyu Fan, Bharath Comandur, Chen Chen, Chen Zhang, Chen Zhao, Chengzhi Lin, Cheuk-Yiu Chan, Chun Chuen Hui, Dengjie Li, Fan Yang, Fan Liang, Fang Da, Feng Yan, Fufu Yu, Guanshuo Wang, H. Anthony Chan, He Zhu, Hongwei Kan, Jiaming Chu, Jianming Hu, Jianyang Gu, Jin Chen, João V. B. Soares, Jonas Theiner, Jorge De Corte, José Henrique Brito, Jun Zhang, Junjie Li, Junwei Liang, Leqi Shen, Lin Ma, Lingchi Chen, Miguel Santos Marques, Mike Azatov, Nikita Kasatkin, Ning Wang, Qiong Jia, Quoc Cuong Pham, Ralph Ewerth, Ran Song, RenGang Li, Rikke Gade, Ruben Debien, Runze Zhang, Sangrok Lee, Sergio Escalera, Shan Jiang, Shigeyuki Odashima, Shimin Chen, Shoichi Masui, Shouhong Ding, Sin-wai Chan, Siyu Chen, Tallal El-Shabrawy, Tao He, Thomas B. Moeslund, Wan-Chi Siu, Wei zhang, Wei Li, Xiangwei Wang, Xiao Tan, Xiaochuan Li, Xiaolin Wei, Xiaoqing Ye, Xing Liu, Xinying Wang, Yandong Guo, YaQian Zhao, Yi Yu, YingYing Li, Yue He, Yujie Zhong, Zhenhua Guo, Zhiheng Li
The SoccerNet 2022 challenges were the second annual video understanding challenges organized by the SoccerNet team.
no code implementations • 15 Sep 2022 • Stefan Ploner, Siyu Chen, Jungeun Won, Lennart Husvogt, Katharina Breininger, Julia Schottenhamml, James Fujimoto, Andreas Maier
Optical coherence tomography (OCT) is a micrometer-scale, volumetric imaging modality that has become a clinical standard in ophthalmology.
no code implementations • 12 Aug 2022 • Siyu Chen, Guanhao Huang, Giovanni Piccioli, Lenka Zdeborová
We derive the replica symmetric (RS) phase diagram in the temperature, ferromagnetic bias plane using the approximate message passing (AMP) algorithm and its state evolution (SE).
no code implementations • 12 Apr 2022 • Haonan Qiu, Siyu Chen, Bei Gan, Kun Wang, Huafeng Shi, Jing Shao, Ziwei Liu
Notably, our method is also validated to be robust to choices of majority and minority forgery approaches.
no code implementations • 16 Mar 2022 • Yinan He, Gengshi Huang, Siyu Chen, Jianing Teng, Wang Kun, Zhenfei Yin, Lu Sheng, Ziwei Liu, Yu Qiao, Jing Shao
2) Squeeze Stage: X-Learner condenses the model to a reasonable size and learns the universal and generalizable representation for various tasks transferring.
no code implementations • NeurIPS 2021 • Yufeng Zhang, Siyu Chen, Zhuoran Yang, Michael I. Jordan, Zhaoran Wang
Specifically, we consider a version of AC where the actor and critic are represented by overparameterized two-layer neural networks and are updated with two-timescale learning rates.
no code implementations • 16 Nov 2021 • Jing Shao, Siyu Chen, Yangguang Li, Kun Wang, Zhenfei Yin, Yinan He, Jianing Teng, Qinghong Sun, Mengya Gao, Jihao Liu, Gengshi Huang, Guanglu Song, Yichao Wu, Yuming Huang, Fenggang Liu, Huan Peng, Shuo Qin, Chengyu Wang, Yujie Wang, Conghui He, Ding Liang, Yu Liu, Fengwei Yu, Junjie Yan, Dahua Lin, Xiaogang Wang, Yu Qiao
Enormous waves of technological innovations over the past several years, marked by the advances in AI technologies, are profoundly reshaping the industry and the society.
no code implementations • 1 Oct 2021 • Siyu Chen, Dengjie Li, Lishuai Gao, Fan Liang, Wei zhang, Lin Ma
This paper is a technical report to our submission to the ICCV 2021 VIPriors Re-identification Challenge.
2 code implementations • CVPR 2021 • Yinan He, Bei Gan, Siyu Chen, Yichun Zhou, Guojun Yin, Luchuan Song, Lu Sheng, Jing Shao, Ziwei Liu
To counter this emerging threat, we construct the ForgeryNet dataset, an extremely large face forgery dataset with unified annotations in image- and video-level data across four tasks: 1) Image Forgery Classification, including two-way (real / fake), three-way (real / fake with identity-replaced forgery approaches / fake with identity-remained forgery approaches), and n-way (real and 15 respective forgery approaches) classification.
no code implementations • 25 Jan 2021 • Guangbo Long, Siyu Chen, Shuo Xu, Hong-Hao Zhang
For $g_{a\gamma}\gtrsim 2\times$$10^{-11} \rm GeV^{-1}$ with $m_{a}\lesssim0. 5\,\mu$eV, the flux at around 100\, TeV predicted by the ALP model can be enhanced more than an order of magnitude than that from the standard absorption, and could be detected by LHAASO.
High Energy Astrophysical Phenomena Cosmology and Nongalactic Astrophysics High Energy Physics - Phenomenology
no code implementations • 3 Jan 2021 • Siyu Chen, Ravi Seshadri, Carlos Lima Azevedo, Arun P. Akkinepally, Renming Liu, Andrea Araldo, Yu Jiang, Moshe E. Ben-Akiva
Further, it is more robust in the presence of forecasting errors and non-recurrent events due to the adaptiveness of the market.
no code implementations • 29 Oct 2020 • Lennart Husvogt, Stefan B. Ploner, Siyu Chen, Daniel Stromer, Julia Schottenhamml, A. Yasin Alibhai, Eric Moult, Nadia K. Waheed, James G. Fujimoto, Andreas Maier
Optical coherence tomography angiography (OCTA) is a novel and clinically promising imaging modality to image retinal and sub-retinal vasculature.
1 code implementation • ICLR 2019 • Tiange Luo, Tianle Cai, Mengxiao Zhang, Siyu Chen, Li-Wei Wang
We next investigate the adversarial examples which 'fool' a CNN with Random Mask.
2 code implementations • 16 Jun 2020 • Siyu Chen, Junting Pan, Guanglu Song, Manyuan Zhang, Hao Shao, Ziyi Lin, Jing Shao, Hongsheng Li, Yu Liu
This technical report introduces our winning solution to the spatio-temporal action localization track, AVA-Kinetics Crossover, in ActivityNet Challenge 2020.
3 code implementations • CVPR 2021 • Junting Pan, Siyu Chen, Mike Zheng Shou, Yu Liu, Jing Shao, Hongsheng Li
We propose to explicitly model the Actor-Context-Actor Relation, which is the relation between two actors based on their interactions with the context.
Ranked #2 on
Action Recognition
on AVA v2.1
1 code implementation • 19 Nov 2019 • Tiange Luo, Tianle Cai, Mengxiao Zhang, Siyu Chen, Di He, Li-Wei Wang
Robustness of convolutional neural networks (CNNs) has gained in importance on account of adversarial examples, i. e., inputs added as well-designed perturbations that are imperceptible to humans but can cause the model to predict incorrectly.
no code implementations • 25 Sep 2019 • Tiange Luo, Tianle Cai, Xiaomeng Zhang, Siyu Chen, Di He, LiWei Wang
We first show that predictions made by the defective CNN are less dependent on textural information, but more on shape information, and further find that adversarial examples generated by the defective CNN appear to have semantic shapes.
no code implementations • 28 May 2019 • Tianle Cai, Ruiqi Gao, Jikai Hou, Siyu Chen, Dong Wang, Di He, Zhihua Zhang, Li-Wei Wang
First-order methods such as stochastic gradient descent (SGD) are currently the standard algorithm for training deep neural networks.
no code implementations • 16 Apr 2019 • Zhijian Luo, Siyu Chen, Yuntao Qian
In blind image deconvolution, priors are often leveraged to constrain the solution space, so as to alleviate the under-determinacy.
no code implementations • 16 Apr 2019 • Jingzhou Chen, Siyu Chen, Peilin Zhou, Yuntao Qian
Secondly, in order to utilize the local spatial correlation among pixels, we share the previous subnetwork as a spectral feature extractor for each pixel in a patch of image, after which the spectral features of all pixels in a patch are combined and feeded into the subsequent classification subnetwork.
no code implementations • 7 Feb 2018 • Siyu Chen, Danping Liao, Yuntao Qian
The adversarial loss pushes our solution to the natural image distribution using a discriminator network that is trained to differentiate between false-color images and natural-color images.
no code implementations • 20 Jan 2018 • Danping Liao, Siyu Chen, Yuntao Qian
The matching pixels between a pair of HSI and RGB image can be reused to display other HSIs captured b the same imaging sensor with natural colors.
2 code implementations • 23 Aug 2017 • Xin Jin, Le Wu, Xiao-Dong Li, Siyu Chen, Siwei Peng, Jingying Chi, Shiming Ge, Chenggen Song, Geng Zhao
Thus, a novel CNN based on the Cumulative distribution with Jensen-Shannon divergence (CJS-CNN) is presented to predict the aesthetic score distribution of human ratings, with a new reliability-sensitive learning method based on the kurtosis of the score distribution, which eliminates the requirement of the original full data of human ratings (without normalization).