Junjun He
Junjun He (何军军)
PhD candidate
Shanghai Jiao Tong University (SJTU)
Email: hejunjun@sjtu.edu.cn

About Me (Google Scholar)

I am currently a PhD Candidate at Shanghai Jiao Tong University, China, advised by Prof. Lixu Gu. I will graduate in 2021. Now, I am fortunate to work with Prof. Yu Qiao at Multimedia Lab (MMLAB) of Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences.

Research Interests

  • Dense prediction: 2D image segmentation, 3D medical image segmentation, objection detection, instance segmentation, scene text recognition, super resolution, etc.
  • Efficient: convolution factorization, model compression, hashing, quantization, AutoML, NAS, etc.

News

  • 2020.07: Four papers were accepted by ECCV2020.
  • 2020.06: One paper was accepted by MICCAI2020.
  • 2020.01: Two papers were accepted by ISBI2020.
  • 2019.11: One paper was accepted by AAAI2020.
  • 2019.11: Won the first prize in the ODIR-2019 competition.
  • 2019.06: One paper was accepted by ICCV2019.
  • 2019.06: One paper was accepted by PRL2019.
  • 2019.02: One paper was accepted by CVPR2019.
  • 2019.02: One paper was accepted by IJCNN2019.
  • 2018.07: One paper was accepted by ACMMM2018.

Publications

Attention-Driven Dynamic GCN Network for Multi-Label Image Recognition
Jin Ye*, Junjun He*, Xiaojiang Peng*, Wenhao Wu, and Yu Qiao

European Conference on Computer Vision ( ECCV ), 2020

[PDF]  [Code] 

EfficientFCN: Holistically-guided Decoding for Semantic Segmentation
Jianbo Liu, Junjun He, Jiawei Zhang, Jimmy Ren, and Hongsheng Li

European Conference on Computer Vision ( ECCV ), 2020

[PDF]  [Code] 

Learning to Predict Context-adaptive Convolution for Semantic Segmentation
Jianbo Liu, Junjun He, Yu Qiao, Jimmy Ren, and Hongsheng Li

European Conference on Computer Vision ( ECCV ), 2020

[PDF] 

Tensor Low-Rank Reconstruction for Semantic Segmentation
Wanli Chen, Xinge Zhu, Ruoqi Sun, Junjun He, Ruiyu Li, Xiaoyong Shen, and Bei Yu

European Conference on Computer Vision ( ECCV ), 2020

[PDF]  [Code] 

MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response
Jiancheng Yang, Jiajun Chen, Kaiming Kuang, Tiancheng Lin, Junjun He, and Bingbing Ni

Medical Image Computing and Computer Assisted Intervention ( MICCAI ), 2020

Classification of ocular diseases employing attention-based unilateral and bilateral feature weighting and fusion
Junjun He*, Cheng Li*, Jin Ye*, Shanshan Wang, Yu Qiao, and Lixu Gu

International Symposium on Biomedical Imaging( ISBI ), 2020

[PDF] 

Dense correlation network for automatic ocular multi-disease detection with paired color fundus photographs
Cheng Li*, Jin Ye*, Junjun He*, Shanshan Wang, Yu Qiao, and Lixu Gu

International Symposium on Biomedical Imaging( ISBI ), 2020

[PDF] 

Dynamic Sampling Network for Semantic Segmentation
Bin Fu, Junjun He, Zhengfu Zhang, and Yu Qiao

Association for the Advancement of Artificial Intelligence( AAAI ), 2020

[PDF] 

Dynamic Multi-scale Filters for Semantic Segmentation
Junjun He, Zhongying Deng, Yu Qiao

International Conference on Computer Vision( ICCV ), 2019

[PDF]  [Code] 

Dual-supervised Attention Network for Deep Cross-modal Hashing
Hanyu Peng, Junjun He, Shifeng Chen, Yali Wang, and Yu Qiao

Pattern Recognition Letters( PRL ), 2019

[PDF] 

Adaptive Pyramid Context Network for Semantic Segmentation
Junjun He, Zhongying Deng, Lei Zhou, Yali Wang, Yu Qiao

Conference on Computer Vision and Pattern Recognition( CVPR ), 2019

[PDF]  [Code] 

Prostate Segmentation Using 2D Bridged U-net
Wanli Chen, Yue Zhang, Junjun He, Yu Qiao, Yifan Chen, Hongjian Shi, Ed X Wu, and Xiaoying Tang

International Joint Conference on Neural Networks( IJCNN ), 2019

[PDF] 

StripNet:Towards Topology Consistent Strip Structure Segmentation
Guoxiang Qu, Wenwei Zhang, Zhe Wang, Xing Dai, Jianping Shi, Junjun He, Fei Li, Xiulan Zhang, Yu Qiao

ACM Multimedia( ACMMM ), 2018

[PDF] 

Contests

  • Peking University International Competition on Ocular Disease Intelligent Recognition (ODIR-2019), Rank: 1/1500+.

Awards

  • Scholarship of Sichuan University, 2012/2013/2014

    • Professional Services

  • Reviewer for CVPR 2020, MICCAI 2020, ICME 2020

    • Friends

    Jin Ye (SIAT), Tong He (The University of Adelaide), Wanli Chen (CUHK), Wenhao Wu (Baidu), Zhi Tian (The University of Adelaide)

    Last Updated on 23th August, 2020