Guanglu Song

Senior Researcher at BaseModel, SenseTime guanglusong@foxmail.com Google Scholar Resume

News

• [2022] 5 papers are accepted by ECCV2022.

• [2022] 1 paper is accepted by ICLR2022.

• [2021] We obtain the Top-1 of ICCV2021-MFR Glint360K Track, Top-1 of ICCV2021-MFR Unconstrained Track and Top-1 of ICCV2021-MFR WebFace260M Track

• [2021] We obtain the Top-1 of NIST FRVT 1:N Identification, an official 1:N face recognition algorithms evaluation platform

• [2021] We obtain the Top-1 of NIST FRVT 1:1 Verification, an official 1:1 face recognition algorithms evaluation platform

• [2021] We obtain the Top-1 of NIST FRVT Face Mask Effects, an official evaluation face recognition accuracy with face masks

• [2017-2021] 7 papers are accepted by CVPR, ECCV, AAAI, ICCV.

• [2020] We obtain the Top-1 of AcitivityNet Challenge 2020 [Solutions]

• [2019] We obtain the Top-1 of ICCV19 Multi-Moments in Time (MIT) Challenge (solutions)

• [2019] We obtain the Top-1 of ICCV19 OpenImage Instance Segmentation Challenge (solutions)

• [2019] We obtain the Top-1 of ICCV19 OpenImage Object Detection Challenge (solutions)[Code]

• [2019] We obtain the Top-1 of ICCV19 Lightweight Face Recognition Challenge (model and report)

About me

I am currently working as a senior researcher in SenseTime BaseModel.

My research interests include: large model design and optimization, and basic computer vision topics (detection, classification, recognition, and video understanding).

I also explore the design and optimization of the supervised learning in DI-star

Serving as the reviewers for ECCV2022, CVPR2022.

Working Experience

• Senior researcher at SenseTime BaseModel. (2021 to Now)
  Working on large model design and optimization.

• Senior researcher at SenseTime X-Lab. (2020 to 2021)
  Working on large model design and optimization.

• Research intern at SenseTime. (2017 to 2020)
  Worked on object detection and recognition with Yu Liu.

Publications

• Rethinking Robust Representation Learning Under Fine-grained Noisy Faces 【Code (coming soon)】
  Bingqi Ma, Guanglu Song^*, Boxiao Liu, Yu Liu
  2022 European Conference on Computer Vision (ECCV)

• Unifying Visual Perception by Dispersible Points Learning 【Code】
  Jianming Liang, Guanglu Song, Biao Leng, Yu Liu
  2022 European Conference on Computer Vision (ECCV)

• Self-slimmed Vision Transformer 【Code】
  Zhuofan Zong, Kunchang Li, Guanglu Song, Yali Wang, Yu Qiao, Biao Leng, Yu Liu
  2022 European Conference on Computer Vision (ECCV)

• UniNet: Unified Architecture Search with Convolution, Transformer, and MLP 【Code】
  Jihao Liu, Xin Huang, Guanglu Song, Hongsheng Li, Yu Liu
  2022 European Conference on Computer Vision (ECCV)

• Towards Robust Face Recognition with Comprehensive Search 【Code (coming soon)】
  Manyuan Zhang, Guanglu Song, Yu Liu, Hongsheng Li
  2022 European Conference on Computer Vision (ECCV)

• UniFormer: Unified Transformer for Efficient Spatiotemporal Representation Learning 【extended version】 【Code】
  Kunchang Li, Yali Wang, Peng Gao, Guanglu Song, Yu Liu, Hongsheng Li, Yu Qiao
  2022 ICLR

• INTERN: A New Learning Paradigm Towards General Vision
  Jing Shao, Siyu Chen, Yangguang Li, Kun Wang, Zhenfei Yin, Yinan He, Jianing Teng, Qinghong Sun, Mengya Gao, Jihao Liu, Gengshi Huang, Guanglu Song, Yichao Wu, Yuming Huang, Fenggang Liu, Huan Peng, Shuo Qin, Chengyu Wang, Yujie Wang, Conghui He, Ding Liang, Yu Liu, Fengwei Yu, Junjie Yan, Dahua Lin, Xiaogang Wang, Yu Qiao
  Tech Report

• Switchable K-class Hyperplanes for Noise-robust Representation Learning
  Boxiao Liu^*, Guanglu Song^*, Manyuan Zhang, Haihang You, Yu Liu
  2021 International Conference on Computer Vision (ICCV)

• Rectifying the Data Bias in Knowledge Distillation
  Boxiao Liu, Shenghan Zhang, Guanglu Song, Haihang You, Yu Liu
  (Best Workshop Paper) 2021 International Conference on Computer Vision (ICCV) Masked Face Recognition Challenge & Workshop

• Discriminability Distillation in Group Representation Learning
  Manyuan Zhang, Guanglu Song, Hang Zhou, Yu Liu
  2020 European Conference on Computer Vision (ECCV)

• Revisiting the Sibling Head in Object Detector, Code
  Guanglu Song, Yu Liu, Xiaogang Wang
  (OpenImage 2019 Champion) 2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

• KPNet: Towards Minimal Face Detector
  Guanglu Song, Yu Liu, Yuhang Zang, Xiaogang Wang, Biao Leng, Qingsheng Yuan
  (Oral) 2020 AAAI Conference on Artificial Intelligence (AAAI)

• Towards Flops-constrained Face Recognition, Code
  Yu Liu*, Guanglu Song*, Manyuan Zhang*, Jihao Liu*, Yucong Zhou, Junjie Yan
  (Top-1 Solution) 2019 ICCV Lightweight Face Recognition Challenge & Workshop

• Transductive Centroid Projection for Semi-supervised Large-scale Recognition
  Yu Liu, Guanglu Song, Jing Shao, Xiao Jin, Xiaogang Wang
  2018 European Conference on Computer Vision (ECCV)

• Beyond Trade-off: Accelerate FCN-based Face Detector with Higher Accuracy
  Guanglu Song*, Yu Liu*, Ming Jiang, Yujie Wang, Junjie Yan, Biao Leng
  2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

• Region-based Quality Estimation Network for Large-Scale Person Re-identification
  Guanglu Song, Biao Leng, Yu Liu, Congrui Hetang, Shaofan Cai
  2018 AAAI Conference on Artificial Intelligence (AAAI)

• Top-1 Solution of Multi-Moments in Time Challenge 2019
  Manyuan Zhang, Hao Shao, Guanglu Song, Yu Liu, Junjie Yan
  Top-1 Solution of Multi-Moments in Time Challenge 2019

• 1st Place Solutions for OpenImage2019--Object Detection and Instance Segmentation
  Yu Liu, Guanglu Song, Yuhang Zang, Yan Gao, Enze Xie, Junjie Yan, Chen Change Loy, Xiaogang Wang
  (Top-1 Solution)1st Place Solutions for OpenImage2019--Object Detection and Instance Segmentation

• Team Efficient Multi-Moments in Time Challenge 2019 Technical Report
  Manyuan Zhang, Hao Shao, Guanglu Song, Yu Liu, Junjie Yan
  (Top-1 Solution)Team Efficient Multi-Moments in Time Challenge 2019 Technical Report

Projects & Datasets

• TSD, OpenImage Top-1 solutions.

• Labeled Pedestrains in the Wild ，a large scale pedestrain re-identification benchmark