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张轶

日期:2024年02月02日 编辑: 点击:

 

张轶 博士/副教授/硕士生导师


研究方向:图像处理、模式识别、计算机视觉、人工智能


工作经历:

2000-2004:电子科技大学 本科

2004-2005:电子29

2005-2010National University of Singapore PhD

2009-2011CE-Infosys, Singapore

2011-今: 四川大学


科研项目:

863面向动态场景感知应用示范(2012AA011804

基于深度学习的跨域行人重识别及跟踪算法研究

干涉预警系统开发

精子密度仪开发

学术任职:担任Sensors副主编,参与IEEE TIP/TAES/TIM等期刊审稿工作。


专著(独作)

《模式识别-数据质量视角》(15万字)

《信号处理中的机器学习算法》(20万字)


专利:

一种基于注意力机制的解耦表达国画生成方法,2022

一种基于深度学习的目标检测方法及系统,2021

基于激光雷达和惯导联合标定的同步定位与地图创建方法,2021

基于孪生网络的单目标跟踪方法,2021

基于特定标签和损失函数的孪生视觉跟踪方法,2021

一种基于深度学习的实时性道路图像语义分割方法及系统,2021

一种基于提取视频时空信息的人体行为识别方法及系统,2021

基于激光雷达与双目相机的定位与导航方法及装置,2020

一种相机、IMU和激光雷达联合的机器人定位方法,2020

一种新型汽车制动管路系统,2017

一种高速运动中用CCD是决定为装置,2017

一种自适应自动机械手结构,2017

一种新型汽车制动管路系统,2017

一种防止汽车带刹行驶的报警系统,2017

一种用于飞机上的对弹射座椅的姿态进行调整的系统,2017

一种用于飞机低能见度着陆的引导装置,2017

一种用于汽车驾驶的微抬头显示器,2014

 

部分论文(一作或通信):

[1] A Dynamic Label Assignment Strategy for One-Stage Detectors. Neurocomputing, 2024

[3] Visual Tracking with Pyramidal Feature Fusion and Transformer based Model Predictor, Engineering Applications of Artificial Intelligence, 2024

[3] SiamRank: A Siamese based visual tracking network with ranking strategy. Pattern Recognition. 2023

[4] Learning Self-Correlation in Space and Time as Motion Representation for Action Recognition. IEEE Signal Processing Letters. 2023

[5] Knowledge Distillation for Object Detection based on Inconsistency-based Feature Imitation and Global Relation Imitation. Neurocomputing, 2024

[6] QPDet: A Queuing People Detector for Aerial Images. IEEE Geoscience and Remote Sensing letters. 2023

[7] Conv PVT: a fusion architecture of convolution and pyramid vision transformer. International Journal of Machine Learning and Cybernetics. 2022

[8] ESTI: an action recognition network with enhanced spatio-temporal information. International Journal of Machine Learning and Cybernetics, 2023

[9] RHL-track: Visual object tracking based on recurrent historical localization. Neural Computing and Applications. 2023

[10] A context- and level-aware feature pyramid network for object detection with attention mechanism. The Visual Computer. 2023

[11] CA-GAN: The Synthesis of Chinese Art Paintings using Generative Adversarial Networks. The Visual Computer. 2023

[12] Evota: An enhanced visual object tracking network with attention mechanism. Multimedia Tools and Applications. 2023

[13] LILO: A Novel Lidar–IMU SLAM System with Loop Optimization, IEEE Transactions on Aerospace and Electronic Systems, 2022

[14] IAMOT: Multi-Object Tracking with Integrated Heads and Attention Mechanism, Neurocomputing, 2022

[15] SiamET: a Siamese based visual tracking network with enhanced templates, Applied intelligence, 2022

[16] SiamOT: An Improved Siamese Network with Online Training for Visual Tracking, Sensors, 2022

[17] MEST: An Action Recognition Network with Motion Encoder and Spatio-Temporal Module, Sensors, 2022

[18] A Hierarchical Feature Extraction Network for Fast Scene Segmentation, Sensors, 2021

[19] Localization scheme based on key frame selection and a reliable plane using Lidar and IMU, Applied Optics, 2021

[20] Network Pruning for OCT Image Classification, MICCAI, 2019

[21] 3D Trajectory Reconstruction from Monocular Vision Based on Prior Spatial Knowledge, IEEE Sensors Journal, 2016

[22] Runway Extraction in Low Visibility Conditions Based on Sensor Fusion Method, IEEE Sensors Journal, 2014

[23] Sensor Fusion Method for Horizon Detection from an Aircraft in Low Visibility Conditions, IEEE Transactions on Instrumentation and Measurement, 2013

[24] Vision-Servo System for Automated Cell Injection, IEEE Transactions on Industrial Electronics, 2009

[25] Decoupled tracking and thermal monitoring of non-stationary targets, ISA Transaction, 2009

[26] Vision-assisted thermal monitoring system for CNC machine surveillance”, IEEE International Conference on Automation and Logistics, 2008 (Best Paper)

 

近年所带硕士生就业去向:

2020:南科大读博、腾讯、Dell

2021:快手、拼多多

2022Intel、美团、电网、拼多多

2023: 选调、美团、快手、银行、美国读博

2024:选调、中电科、银行、转博

 

联系方式:

yi.zhang@scu.edu.cn