junchi yan
-bnu.edu.cn
Translate this page· Chao Zhang Junchi Yan Changsheng Li Hao Wu( ) and Rongfang Bie. End-to-end learning for image-based air quality level estimation J . Machine Vision and Applications 2018 29(4) . (SCI index) Hao Wu Rongfang Bie Junqi Guo Xin Meng
-bnu.edu.cn
Translate this page· Chao Zhang Junchi Yan Changsheng Li Hao Wu( ) and Rongfang Bie. End-to-end learning for image-based air quality level estimation J . Machine Vision and Applications 2018 29(4) . (SCI index) Hao Wu Rongfang Bie Junqi Guo Xin Meng
Junchi Yan DeepAI
Anomaly Detection of Time Series with Smoothness-Inducing Sequential Variational Auto-EncoderDeep generative models have demonstrated their effectiveness in learning latent representation and modeling complex dependencies of time series. In this paper we SCRDet Detecting Small Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss SmoothingSmall and cluttered objects are common in real-world which are challenging for detection. The difficulty is further pronounced when the objects are rotated as traditional detectors Learning Latent Process from High-Dimensional Event Sequences via Efficient SamplingWe target modeling latent dynamics in high-dimension marked event sequences without any prior knowledge about marker relations. Such problem has been rarely studied by Learning Structured Communication for Multi-agent Reinforcement LearningThis work explores the large-scale multi-agent communication mechanism under a multi-agent reinforcement learning (MARL) setting. We summarize the general categories ofThinklab SJTU · GitHub
Thinklab at Shanghai Jiao Tong University led by Prof. Junchi Yan.Thinklab SJTU
Junchi YanHome
Learning to Select Elements for Graphic Design. Guolong Wang. Tsinghua University Beijing China Zheng Qin. Tsinghua University Beijing China Junchi Yan
-bnu.edu.cn
Translate this page· Chao Zhang Junchi Yan Changsheng Li Hao Wu( ) and Rongfang Bie. End-to-end learning for image-based air quality level estimation J . Machine Vision and Applications 2018 29(4) . (SCI index) Hao Wu Rongfang Bie Junqi Guo Xin Meng
Member ThinkLab
Translate this page· Junchi Yan Founder Director Ning Zhang Assistant Researcher Part-time Advisors Hongyuan Zha Adjunct Professor (my phd supervisor) Yuncai Liu Adjunct Professor (my master supervisor
SJTU
Translate this pageDr. Junchi Yan is currently a Tenure-track Associate Professor with Shanghai Jiao Tong University. He is also the program manager for the prestigious SJTU ACM Class (AI direction). Before that he was a Senior Research Staff Member (Principal Scientist for
Welcome to Junsong YuanUniversity at Buffalo
· Welcome to Junsong Yuan. Junsong Yuan . Associate Professor. Director of Visual Computing Lab. Computer Science and Engineering Department. University at Buffalo State University of New York. Contact jsyuan at buffalo
Translate this pageHao Xiao Weiyao Lin Bin Sheng Ke Lu Junchi Yan Jingdong Wang Errui Ding Yihao Zhang Hongkai Xiong "Group Re-Identification Leveraging and Integrating Multi-Grain Information" ACM International Conference on Multimedia (ACMM 2018
AAAI 2021
Translate this pageWen Qian Xue Yang Silong Peng Junchi Yan Yue Guo R3Det Refined Single-Stage Detector with Feature Refinement for Rotating Object R3Det
Junchi YanHome
Learning to Select Elements for Graphic Design. Guolong Wang. Tsinghua University Beijing China Zheng Qin. Tsinghua University Beijing China Junchi Yan
GitHubIrene323/GFTE A GCN-based table structure
· article GFTE title= GFTE Graph-based Financial Table Extraction author= Li Yiren and Huang Zheng and Junchi Yan and Zhou Yi and Ye Fan and Liu Xianhui journal= arXiv preprint arXiv 2003.07560 year= 2020 About. A GCN-based table structure recognition method Resources. Readme Releases No releases published.
Thinklab SJTU · GitHub
Thinklab at Shanghai Jiao Tong University led by Prof. Junchi Yan.Thinklab SJTU
Junchi Yan OpenReview
Junchi Yan (Preferred) Suggest Name Emails. Enter email addresses associated with all of your current and historical institutional affiliations as well as all your previous publications and the Toronto Paper Matching System. This information is crucial for deduplicating users
Alibaba
Translate this pageAo Zhang Nan Li Jian Pu Jun Wang Junchi Yan Hongyuan Zha. tau-FPL Tolerance-Constrained Learning in Linear Time. In Proceedings of the 32rd AAAI Conference on Artificial Intelligence (AAAI 18) New Orleans LA 2018. Qi Qian Jisheng Tang Hao Li
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· C5 Junchi Yan Xu-Cheng Yin () Weiyao Lin Cheng Deng HongyuanZha and Xiaokang Yang "A short survey of recent advances in graph matching "Proceedings of ACM International Conference on Multimedia Retrieval (ACM ICMR 16) 2016.
JUNCHI YAN THINKLAB SJTU
· Junchi Yan Deep Networks for TPPKDD19 Tutorial 20 For influence from dimension to Social Infectivity If high dimension overfitting for 𝑨= Sparse Low-rank Networks 1 regularize the maximum likelihood estimator 𝐴∗ is the nuclear norm of matrix A which is defined to be the sum of its singular value min
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Translate this page· Junchi Yan Xin Liu Liangliang Shi Changsheng Li Hongyuan Zha Improving Maximum Likelihood Estimation of Temporal Point Process via Discriminative and Adversarial Learning Proceedings of the Twenty-Seventh International Joint Conference on Artificial
AAAI 2021
Translate this pageWen Qian Xue Yang Silong Peng Junchi Yan Yue Guo R3Det Refined Single-Stage Detector with Feature Refinement for Rotating Object R3Det
Translate this page
· C5 Junchi Yan Xu-Cheng Yin () Weiyao Lin Cheng Deng HongyuanZha and Xiaokang Yang "A short survey of recent advances in graph matching "Proceedings of ACM International Conference on Multimedia Retrieval (ACM ICMR 16) 2016.
Thinklab SJTU · GitHub
Thinklab at Shanghai Jiao Tong University led by Prof. Junchi Yan.Thinklab SJTU
Chao Ma s Homepage
· Co Executive Chairs for CCF-CV at Shanghai Jiao Tong University () with Prof. Xiaokang Yang and Prof. Junchi Yan. Executive Area Chair for VALSE. Computer Vision Session Chair in IJCAI 2019 . Guest Editor. Pattern Recognition Special Issue about Deep Video Analysis. IEEE Access Special Issue on Sequential Data Modeling and Its
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Jiayi Ma Xingyu Jiang Aoxiang Fan Junjun Jiang and Junchi Yan. "Image Matching from Handcrafted to Deep Features A Survey" International Journal of Computer Vision 129(1) pp. 23-79 2021. SCI IF=5.698 75.
Welcome to Junsong YuanUniversity at Buffalo
· Welcome to Junsong Yuan. Junsong Yuan . Associate Professor. Director of Visual Computing Lab. Computer Science and Engineering Department. University at Buffalo State University of New York. Contact jsyuan at buffalo
Translate this pageHao Xiao Weiyao Lin Bin Sheng Ke Lu Junchi Yan Jingdong Wang Errui Ding Yihao Zhang Hongkai Xiong "Group Re-Identification Leveraging and Integrating Multi-Grain Information" ACM International Conference on Multimedia (ACMM 2018
JUNCHI YAN THINKLAB SJTU
· Junchi Yan IJCAI19 Tutorial Learning Temporal Point Process. Outline Deep Learning for TPP 37 3.1 RNN model for TPP 3.2 Adversarial learning for TPP 3.3 Reinforcement learning for TPP 3.4 Embedding for multi-dimensional TPP Junchi Yan IJCAI19 Tutorial Learning
CV _AI
Translate this page· Junchi Yan Quanshi Zhang Prof. Yu-Gang Jiang Home Page Xiangyang XueGoogle Scholar Citations Yanwei Fu EECS-QMUL Limin Wang Jianxin Wu s homepage
Runzhong Wang
· Runzhong Wang Junchi Yan Xiaokang Yang. Accepted by TPAMI. Best poster award at Internation Conference on Data Science 2019. Combinatorial Learning of Graph Edit Distance via Dynamic Embedding. Runzhong Wang Tianqi Zhang Tianshu Yu Junchi Yan Xiaokang Yang. CVPR 2021. preprint code coming soon.
Junchi Yan OpenReview
Junchi Yan (Preferred) Suggest Name Emails. Enter email addresses associated with all of your current and historical institutional affiliations as well as all your previous publications and the Toronto Paper Matching System. This information is crucial for deduplicating users
MIN Research
· Weiyao Lin Yang Zhou Hongteng Xu Junchi Yan Mingliang Xu Jianxin Wu Zicheng Liu . Department of Electronic Engineering Shanghai Jiao Tong University China . wylin sjtu.edu.cn Abstract. Trajectory analysis is essential in many applications. In this paper we address the problem of representing motion trajectories in a highly informative
ICCV 2019 CVQQ
Translate this page· Runzhong Wang Junchi Yan Xiaokang Yang affinity NP