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硕士生导师 Master Supervisor

任职:

硕士生导师

赵鑫

硕士生导师

赵鑫 男 硕士生导师 中国科学院自动化研究所 


 




简介

赵鑫,博士,副研究员。2013年在中国科学技术大学获得工学博士学位。赵鑫博士主要从事计算机视觉、模式识别、数据挖掘方面的研究工作,已在TPAMI、TIP、TCSVT、CVPR、ICCV、AAAI、IJCAI等国际学术期刊和会议上发表学术论文。赵鑫博士负责多项国家自然科学基金、**科技创新特区项目,现为中国计算机学会(CCF)会员、国际电气电子工程师学会(IEEE) 会员、IEEE 信号处理学会(Signal Processing Society)会员,是多个国内、国际计算机视觉与模式识别学术期刊和会议的评审人。赵鑫博士获得2011年首届亚洲模式识别最佳学生论文奖,2018年COCO Panoptic Segmentation竞赛亚军。



个人简历

招生信息
教育背景
工作经历

教育背景

        2013年                              中国科学技术大学                工学博士

工作经历

1. 2013.7-2017.10      中国科学院自动化研究所     助理研究员

2. 2017.10-现在     中国科学院自动化研究所      副研究员

专利与奖励

        专利

(1) 基于最大信息三元组筛选网络的数据主动标注方法和系统, 2020-8-11, 中国发明专利, 专利号:ZL201711115401.1.

(2) 图像精细化阴影区域分割系统、方法、装置, 2020-4-28, 中国发明专利, 专利号:ZL201910168656.7.

(3) Method and apparatus for recognizing RGB-D objects based on adaptive similarity measure of dense matching item, 2019-12-3, 美国发明专利, 专利号:US 20180268251AI.

(4) 基于反卷积神经网络的场景语义分割方法, 2020-2-7, 中国发明专利, 专利号:ZL201610947960.8.

(5) 一种基于点击式图像分割的无人机航拍图像电子勾绘方法, 2019-5-17, 中国发明专利, 专利号:ZL201610017713.8.

(6) 基于密集匹配子自适应相似性度量的RGB-D物体识别方法和装置, 2019-4-12, 中国发明专利, 专利号:ZL201510831645.4.

(7) 基于成对约束的在线词典再加权对图像进行分类的方法, 2014-4-23, 中国发明专利, 专利号:ZL201110325938.7.

 

        奖励

        2011年                             获得首届亚洲模式识别最佳学生论文奖

        2018年           获得COCO Panoptic Segmentation竞赛亚军

出版信息

       学术论文

   [1] 3D Object Detection Using Scale Invariant and Feature Reweighting Networks

Xin Zhao, Zhe Liu, Ruolan Hu, Kaiqi Huang. 33rd AAAI Conference on Artificial Intelligence (AAAI): 2019

         [2] Visual-semantic Graph Reasoning for Pedestrian Attribute Recognition

Qiaozhe Li, Xin Zhao, Ran He, Kaiqi Huang. 33rd AAAI Conference on Artificial Intelligence (AAAI): 2019

         [3] Focal Boundary Guided Salient Object Detection

Yupei Wang, Xin Zhao, Xuecai Hu, Yin Li, Kaiqi Huang. IEEE Transactions on Image Processing (TIP):2019

         [4] Deep Crisp Boundaries: From Boundaries to Higher-level Tasks

Yupei Wang, Xin Zhao, Yin Li, Kaiqi Huang. IEEE Transactions on Image Processing (TIP): 2019

         [5] Iterative Residual Network For Structured Edge Detection

Yupei Wang, Xin Zhao, Kaiqi Huang. IEEE International Conference on Image Processing (ICIP): 2018

         [6] Densely Cascaded Shadow Detection Network via Deeply Supervised Parallel Fusion

Yupei Wang, Xin Zhao, Yin Li, Xuecai Hu, Kaiqi Huang. International Joint Conference on Artificial Intelligence (IJCAI): 2018

         [7] Densely Connected Single-Shot Detector

Pei Xu, Xin Zhao, Kaiqi Huang. International Conference on Pattern Recognition (ICPR): 2018

         [8] Adversarial Learning Based Saliency Detection

Xuecai Hu, Xin Zhao, Kaiqi Huang, Tieniu Tan. Asian Conference on Pattern Recognition (ACPR): 2017

          [9] Deep Crisp Boundaries

Yupei Wang, Xin Zhao, Kaiqi Huang. IEEE Conference on Computer Vision and Pattern Recognition (CVPR): 2017

         [10] Locality-Sensitive Deconvolution Networks with Gated Fusion for RGB-D Indoor Semantic Segmentation

Yanhua Cheng, Rui Cai, Zhiwei Li, Xin Zhao, Kaiqi Huang. IEEE Conference on Computer Vision and Pattern Recognition (CVPR): 2017

        [11] LEARNING TEMPORALLY CORRELATED REPRESENTATIONS USING LSTMS FOR VISUAL TRACKING Qiaozhe Li, Xin Zhao, and Kaiqi Huang. IEEE International Conference on Image Processing (ICIP): 2016

         [12] Semi-Supervised Multimodal Deep Learning for RGB-D Object Recognition

Yanhua Cheng, Xin Zhao, Rui Cai, Zhiwei Li, Kaiqi Huang, Yong Rui. International Joint Conference on Artificial Intelligence (IJCAI): 2016

         [13] Semi-supervised learning and feature evaluation for RGB-D object recognition

Yanhua Cheng, Xin Zhao, Kaiqi Huang, Tieniu Tan. Computer Vision and Image Understanding (CVIU):2015

         [14] Query Adaptive Similarity Measure for RGB-D Object Recognition

Yanhua Cheng, Rui Cai, Chi Zhang, Zhiwei Li, Xin Zhao, Kaiqi Huang and Yong Rui. International Conference on Computer Vision (ICCV): 2015 Download

         [15] 3D object retrieval with multimodal views

Y. Gao et al.. Proceedings of the 2015 Eurographics Workshop on 3D Object Retrieval: 2015 ,129-136

         [16] Convolutional fisher kernels for RGB-D object recognition

Yanhua Cheng, Rui Cai, Xin Zhao, and Kaiqi Huang. International Conference on 3D Vision (3DV): 2015

         [17] Semi-supervised Learning for RGB-D Object Recognition

Yanhua Cheng, Xin Zhao, Kaiqi Huang, Tieniu Tan. International Conference on Pattern Recognition (ICPR): 2014 Download

         [18] Compact image representation based on variability analysis

Xin Zhao, Kaiqi Huang, and Tieniu Tan. Journal of University of Science and Technology of China (Chinese): 2013

         [19] Feature Coding via Vector Difference for Image Classification

Xin Zhao, Yinan Yu, Yongzhen Huang, Kaiqi Huang, Tieniu Tan. IEEE International Conference on Image Processing (ICIP): 2012

         [20] Semantic Windows in Sliding Window Based Object Detection

Junge Zhang, Xin Zhao, Yongzhen Huang, Kaiqi Huang, Tieniu Tan. International Conference on Pattern Recognition (ICPR): 2012

         [21] Local Hypersphere Coding Based on Edges between Visual Words

Weiqiang Ren, Yongzhen Huang, Xin Zhao, Kaiqi Huang, Tieniu Tan. Asian Conference on Computer Vision (ACCV): 2012

         [22] Global and Local Training for Moving Object Classification in Surveillance-Oriented Scene

Xin Zhao, Jianwei Ding, Kaiqi Huang, Tieniu Tan. Asian Conference on Pattern Recognition (ACPR): 2011

         [23] Online Codebook Reweighting Using Pairwise Constraints for Image Classification

Xin Zhao, Weiqiang Ren, Kaiqi Huang, Tieniu Tan. Asian Conference on Pattern Recognition (ACPR): 2011

         [24] A Comparison Study on Kernel Based Online Learning for Moving Object Classification

Xin Zhao, Kaiqi Huang, Tieniu Tan. Third Chinese Conference on Intelligent Video Surveillance (IVS): 2011

         [25] Robust Moving Object Segmentation with Two Stage Optimization

Jianwei Ding, Xin Zhao, Kaiqi Huang, Tieniu Tan. Asian Conference on Pattern Recognition (ACPR): 2011

申请专利

          ZL 201110325938.7        基于成对约束的在线词典再加权对图像进行分类的方法

         CN 201610947960          基于反卷积神经网络的场景语义分割方法

         CN 201510831645          基于密集匹配子自适应相似性度量的RGB-D物体识别方法和装置

         CN 201710666537          基于深度融合修正网络的精细边缘检测方法、装置

         CN 201711115401           基于最大信息三元组筛选网络的数据主动标注方法和系统

         CN 201810144033          基于跨时重叠率的视觉跟踪算法稳定性评估方法及装置

         CN 201810209595          基于视频的群体属性识别方法和装置

         CN 201810329940          基于稠密连接的深度学习物体检测方法及装置

         CN 201810425630          边缘引导的精细化显著性物体分割方法与系统、设备

指导学生

       程衍华     硕博

       王裕沛     博士

       李乔哲     博士

       黄梁华     博士

       高乃钰     硕博

       武   琪     硕士



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