Qilong Wang

qlwang@tju.edu.cn

135 Yaguan Road
300350
Tianjin
China

github.com/csqlwang

About Me

I am an associate professor at the College of Intelligence and Computing of Tianjin University. Previously, I joined Tianjin University as an Assistant Professor in 2018. I received the B.S. degree and M.Sc. degree from Heilongjiang University in 2011 and 2014, and the Ph.D. degree from Dalian University of Technology under the supervision of Prof.Peihua Li in 2018. My research interests are on computer vision and deep learning, particularly image/video classification, object detection, architecture design and optimization of deep models (e.g., high-order statistical modeling and self-attention mechanism).

News!

 

[2021-07-27] One paper is accepted to ICCV 2021.

[2021-03-27] One paper is accepted to CVPR 2021.

[2020-09-15] I was awarded the excellent doctoral dissertation of Chinese Association for Artificial Intelligence (CAAI). [Official news of CAAI and SOHU]

[2020-02-27] Three papers are accepted to CVPR 2020.

[2020-02-11] One paper is accepted to IEEE T-PAMI.

[2019-03-03] Two papers are accepted to CVPR 2019.

[2018-11-28] We organizded a Tutorial in PRCV 2018, and PPT can be download Here.

[2018-09-05] One paper is accepted to NIPS 2018.

[2018-05-21] Two papers are accepted to IJCAI 2018.

[2018-05-15] I am supported by program for Post-doctoral Innovative Talents.

[2018-02-19] Two papers are accepted to CVPR 2018.

[2017-07-17] One paper is accepted to ICCV 2017.

[2017-03-18] Two papers are accepted to CVPR 2017. One of them was selected for oral presentation (~2.65% acceptance rate).

Preprint Papers

  1. Jiangtao Xie, Ruiren Zeng, Qilong Wang, Ziqi Zhou, Peihua Li. So-ViT: Mind Visual Tokens for Vision Transformer. CoRR abs/2104.10935, 2021. [arXiv][Code(We make an attempt to exploit visual tokens of vision Transformer by using second-order pooling for  effective visual classification.)

Journal Papers

  1. Qilong Wang, Jiangtao Xie, Wangmeng Zuo, Lei Zhang and Peihua Li. Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization. IEEE T-PAMI 43(8): 2582-2597, 2021. [PDF][Code][arXiv]
  2. Peihua Li, Qilong Wang, Hui Zeng and Lei Zhang. Local Log-Euclidean Multivariate Gaussian Descriptor and Its Application to Image Classification. IEEE T-PAMI 39(4): 803-817, 2017. [PDF] [Code]
  3. Qilong Wang, Xiaoxiao Lu, Peihua Li, Zhenguo Gao, Yongri Piao. An Information Geometry Based Distance between High-dimensional Covariances for Scalable Classification. IEEE T-CSVT 28(10): 2449-2459, 2018. [PDF]
  4. Peihua Li, Hui Zeng, Qilong Wang, Simon C. K. Shiu, Lei Zhang. High-order Local Pooling and Encoding Gaussians over A Dictionary of Gaussians. IEEE T-IP 26(7): 3372-3384, 2017. [PDF] [Code]
  5. Qilong Wang, Peihua Li, Wangmeng Zuo, Lei Zhang. Towards Effective Codebookless Model for Image Classification. Pattern Recognition 59: 63-71, 2016. [PDF] [Code]

 

Conference Papers

  1. Bowen Dong, Zitong Huang, Yuelin Guo, Qilong Wang, Zhenxing Niu, Wangmeng Zuo. Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusters. 18th IEEE International Conference on Computer Vision (ICCV), 2021. [arXiv][Code]
  2. Longyin Wen, Dawei Du, Pengfei Zhu, Qinghua Hu, Qilong Wang, Liefeng Bo, Siwei Lyu. Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark. 34th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021. [PDF][arXiv][Code]
  3. Qilong Wang, Li Zhang, Banggu Wu, Dongwei Ren, Peihua Li, Wangmeng Zuo, Qinghua Hu. What Deep CNNs Benefit from Global Covariance Pooling: An Optimization Perspective. 33th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. [PDF][arXiv][Code]
  4. Qilong Wang, Banggu Wu, Pengfei Zhu, Peihua Li, Wangmeng Zuo, Qinghua Hu. ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks. 33th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.[PDF][arXiv][Code] (Most influential CVPR papers recommended by Paper Digest)
  5. Qilong Wang, Peihua Li, Qinghua Hu, Pengfei Zhu, Wangmeng Zuo. Deep Global Generalized Gaussian Networks. 32th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. [PDF] [Code]
  6. Zilin Gao, Jiangtao Xie, Qilong Wang, Peihua Li. Global Second-order Pooling Convolutional Networks. 32th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. [PDF][Code]
  7. Qilong Wang*, Zilin Gao*, Jiangtao Xie, Wangmeng Zuo, Peihua Li. Global Gated Mixture of Second-order Pooling for Improving Deep Convolutional Neural Networks. Thirty-second Conference on Neural Information Processing Systems (NeurIPS), 2018. [PDF][Supplemental][Code] (*The first two authors contribute equally to this work.)
  8. Hao Wang, Qilong Wang, Mingqi Gao, Peihua Li, Wangmeng Zuo. Multi-scale Location-aware Kernel Representation for Object Detection. 31th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. [PDF][arXiv] [Code] (The first attempt to integrate higher-order statistics into object detection task)
  9. Peihua Li, Jiangtao Xie, Qilong Wang, Zilin Gao. Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization. 31th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. [PDF][arXiv] [Code] (Speed up training of covariance pooling networks)
  10. Peihua Li, Jiangtao Xie, Qilong Wang, Wangmeng Zuo. Is Second-Order Information Helpful for Large-Scale Visual Recognition? 16th IEEE International Conference on Computer Vision (ICCV), 2017. [PDF] [Code] (The work shows matrix power normalized covariance pooling is very effective on large-scale classification task.)
  11. Qilong Wang, Peihua Li, Lei Zhang. G2DeNet: Global Gaussian Distribution Embedding Network and Its Application to Visual Recognition. 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. (Oral, acceptance rate: 2.65%) [PDF] [Code] (Embedding a global trainable Gaussian distribution (square root SPD matrix) into deep CNNs, obtaining state-of-the-art results on FGVC task.)
  12. Hongliang Yan, Yukang Ding, Peihua Li, Qilong Wang, Yong Xu, Wangmeng Zuo. Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation. 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. [PDF] [Code]
  13. Qilong Wang, Peihua Li, Wangmeng Zuo, Lei Zhang. RAID-G: Robust Estimation of Approximate Infinite Dimensional Gaussian with Application to Material Recognition. 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. [PDF] [Code] (A Gaussian descriptor with robust covariance estimation, achieving state-of-the-art results on texture classification task.)
  14. Qilong Wang, Xiaona Deng, Peihua Li, Lei Zhang. Ask the Dictionary: Soft-Assignment Location-Orientation Pooling for Image Classification. 22th International Conference on Image Processing (ICIP), 2015. (Best 10% Paper Award) [PDF]
  15. Peihua Li, Xiaoxiao Lu, Qilong Wang. From Dictionary of Visual Words to Subspaces: Locality-constrained Affine Subspace Coding. 28th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015. [Project Page]
  16. Qilong Wang, Wangmeng Zuo, Lei Zhang, Peihua Li. Shrinkage Expansion Adaptive Metric Learning. 13th European Conference on Computer Vision (ECCV), 2014. [PDF] [Code]
  17. Peihua Li, Qilong Wang, Lei Zhang. A Novel Earth Mover's Distance Methodology for Image Matching with Gaussian Mixture Models. 14th IEEE International Conference on Computer Vision (ICCV), 2013. [Project Page]
  18. Peihua Li, Qilong Wang, Wangmeng Zuo, Lei Zhang. Log-Euclidean Kernels for Sparse Representation and Dictionary Learning. 14th IEEE International Conference on Computer Vision (ICCV), 2013. [Project Page]
  19. Peihua Li, Qilong Wang. Local Log-Euclidean Covariance Matrix (L2ECM) for Image Representation and Its Applications. 12th European Conference on Computer Vision (ECCV), 2012. [PDF] [Code]

 

Honors

  • *The excellent doctoral dissertation of Chinese Association for Artificial Intelligence (CAAI)

  • *The 2nd place among 843 teams in Alibaba Large-scale Image Search Challenge 2015

  • *ICIP2015 Best 10% Paper Award

  • *National Graduate Scholarship 2017, 2016, 2013

Academic Service

Journal Reviewer

IEEE Transactions on Pattern Analysis and Machine Intelligence

International Journal of Computer Vision

IEEE Transactions on Image Processing

IEEE Transactions on Neural Networks and Learning Systems

IEEE Transactions on Circuits and Systems for Video Technology

IEEE Transactions on Multimedia

Pattern Recognition


Conference Reviewer

CVPR 2018-2022, ICCV 2019 2021, ICML 2021, ICLR 2021 2022, NeurIPS 2020 2021, ECCV 2020

PC for AAAI 2019-2021, IJCAI 2019 2020

SPC for IJCAI 2021, SPC for AAAI 2022