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SYLan2019/README.md

Shiyong Lan -Homepage

https://cs.scu.edu.cn/info/1280/13694.htm

招收计算机视觉多模态感知理解大数据分析方面的研究生,欢迎报考四川大学计算机学院(304)和 视觉合成图形图像技术国防重点学科实验室(604)的同学联系

Publications selected:

[18]. A Dual Branch Graph Neural Network based Spatial Interpolation Method for Traffic Data Inference in Unobserved Locations, Information Fusion, (2024) --Accepted. [paper] [code]

[17]. Semantic-aware normalizing flow with feature fusion for image anomaly detection, Neurocomputing, 590 (2024), 127728. --[paper]. [code]

[16]. A Semantics-aware Normalizing Flow Model for Anomaly Detection, The IEEE International Conference on Multimedia & Expo (ICME) 2023.--[pdf]. [code]

[15]. Visual-Haptic-Kinesthetic Object Recognition with Multimodal Transformer. International Conference on Artificial Neural Networks (ICANN2023)--[pdf]. [code].

[14]. Siamese Network based on MLP and Multi-head Cross Attention for Visual Object Tracking. International Conference on Artificial Neural Networks (ICANN2023)--[pdf]. [code].

[13]. GanNeXt: A New Convolutional GAN for Anomaly Detection. International Conference on Artificial Neural Networks (ICANN2023)--[pdf]. [code].

[12]. DLAHSD: Dynamic Label adopted in Auxiliary Head for SAR Detection. International Conference on Image Processing (ICIP 2023) --[pdf]. [code].

[11]. Flow-based one-class anomaly detection with Multi-frequency Feature fusion. International Conference on Image Processing (ICIP 2023) --[pdf]. [code].

[10]. DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting. International Conference on Machine Learning (ICML) 2022, PMLR 162:11906-11917.(CCF-A) (Acceptance rate: 21.9%). [pdf] [code].

[9]. Face Super-Resolution with Spatial Attention Guided by Multiscale Receptive-Field Features. International Conference on Artificial Neural Networks (ICANN2022). Springer, Cham, 2022: 145-157. [pdf] (code).

[8]. A Transformer-based GAN for Anomaly Detection. International Conference on Artificial Neural Networks (ICANN2022). Springer, Cham, 2022: 345-357. [pdf](code).

[7]. Robust Visual Object Tracking with Spatiotemporal Regularisation and Discriminative Occlusion Deformation. International Conference on Image Processing (ICIP). IEEE, 2021, pp. 1879-1883. [pdf](code).

[6]. SAGAN: Skip-Attention GAN for Anomaly Detection, International Conference on Image Processing (ICIP). IEEE, 2021, pp. 2468-2472. [pdf](code).

[5]. Real-Time 3D Road Scene Based on Virtual-Real Fusion Method. IEEE Sensors Journal, 2015, 15(2):750-756.

[4]. 3D Road Scene Monitoring Based on Real-Time Panorama. Journal of Applied Mathematics, 2014, 2014:1-8.

[3]. Effect of Slopes in Highway on Traffic Flow. International Journal of Modern Physics C, 2011, 22, 319-331.

[2].《城市应急交通流仿真建模与模拟》,中国科学技术大学出版社, 2021,ISBN:978-7-312-05329-0.(专著).

[1].《机动车号牌自动识别系统》国家标准 GB/T 28649-2012.

Popular repositories Loading

  1. DSTAGNN DSTAGNN Public

    DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.

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  2. Transformer-Gan-Anomaly-Detection Transformer-Gan-Anomaly-Detection Public

    A Transformer-based GAN for Anomaly Detection, International Conference on Artificial Neural Networks, (ICANN2022).

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    MULTI HEAD SELF-ATTENTION BASED SPATIAL-TEMPORAL INFORMATION GRAPH CONVOLUTIONAL NETWORKS FOR TRAFFIC FLOW FORECASTING

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    This repository contains PyTorch implementation of the following paper: SAGAN: SKIP-ATTENTION GAN FOR ANOMALY DETECTION.

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