Guo Lu

Assistant Professor

Shanghai Jiao Tong University

I am an assistant professor at the Shanghai Jiao Tong University. Before that, I was an assistant professor at the Beijing Institute of Technology from 2020 to 2022. I obtained my Ph.D degree in the Department of Electronic Engineering, Shanghai Jiao Tong University at 2020. From Sep. 2017 to Mar. 2019, I was a visiting student in the University of Sydney and work with Wanli Ouyang . I received the B. Eng. degree in the Department of Electronic Engineering, Ocean University of China, 2014. My research interests focus on video compression, video processing and deep learning.
Looking for self-motivated students (both PhD and master) working with me. For prospective students, please send your resume and transcript to my email.

News

09/2022, I join Shanghai Jiao Tong University as an assistant professor

09/2022, Two papers are accepted to PCS 2022

07/2022, One paper is accepted to TPAMI 2022.

07/2022,One paper is accepted to ECCV 2022.

03/2022,Three papers are accepted to CVPR 2022.

03/2021, We are organizing a tutorial Learning for Visual Data Compression on CVPR2021.

03/2021, Two papers are accepted at CVPR2021.

12/2020, We are organizing a tutorial on VCIP2020 for Learned Image and Video Compression. Please see the slides Learned Image Compression and Learned Video Compression.

09/2020, We are organizing a special issue on IJCV for video understanding and video compression. Please see the CfP.

07/2020, Two oral papers are accepted at ECCV2020.

03/2020, My homepage is online.

Recent Publications

More Publications

[PCS'22] Perceptual Video Coding based on Semantic-guided Texture Detection and Synthesis

Chen Zhu, Guo Lu, Rong Xie, Li Song

IIEEE Picture Coding Symposium (PCS), 2019.

[CVPR'22] Learning Based Multi-Modality Image and Video Compression

Guo Lu, Tianxiong Zhong, Jing Geng, Qiang Hu, Dong Xu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR),2022.

[TIP'22] TSA-SCC: text semantic-aware screen content coding with ultra low bitrate

Tong Tang, Ling Li, Xiaoyu Wu, Ruizhi Chen, Haochen Li, Guo Lu, Limin Cheng

IEEE Transactions on Image Processing,2022

[ICCV'21] Self-Conditioned Probabilistic Learning of Video Rescaling

Yuan Tian, Guo Lu, Xiongkuo Min, Zhaohui Che,Guangtao Zhai,Guodong Guo,Zhiyong Gao

International Conference on Computer Vision (ICCV),2021

[CVPR'21] FVC: A New Framework towards Deep Video Compression in Feature Space

Zhihao Hu, Guo Lu, Dong Xu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR),2021. (Oral).

[CVPR'21] VoxelContext-Net: An Octree based Framework for Point Cloud Compression

Zizheng Que, Guo Lu, Dong Xu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR),2021.

[TPAMI'20] Learning 3D Human Shape and Pose from Dense Body Parts

Hongwen Zhang, Jie Cao, Guo Lu, Wanli Ouyang, and Zhenan Sun

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.

[ECCV'20] Content Adaptive and Error Propagation Aware Deep Video Compression

Guo Lu*, Chunlei Cai*, Xiaoyun Zhang, Li Chen, Wanli Ouyang, Dong Xu, Zhiyong Gao

Proceedings of the European Conference on Computer Vision (ECCV), 2020. (Oral, 2% acceptance rate).

[ECCV'20] Improving Deep Video Compression by Resolution-adaptive Flow Coding

Zhihao Hu*, Zhenghao Chen*, Dong Xu, Guo Lu, Wanli Ouyang, Shuhang Gu

Proceedings of the European Conference on Computer Vision (ECCV), 2020.(Oral, 2% acceptance rate).

[TPAMI'20] An End-to-End Learning Framework for Video Compression

Guo Lu, Xiaoyun Zhang, Wanli Ouyang, Li Chen, Zhiyong Gao, Dong Xu

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020. PDF

[TIP'19] Deep Non-local Kalman Network for Video Compression Artifact Reduction

Guo Lu, Xiaoyun Zhang, Wanli Ouyang, Dong Xu, Li Chen, Zhiyong Gao.

IEEE Transactions on Image Processing (TIP), 2019. PDF

[CVPR'19] DVC: An End-to-end Deep Video Compression Framework

Guo Lu, Wanli Ouyang, Dong Xu, Xiaoyun Zhang, Chunlei Cai, Zhiyong Gao

IEEE Conference on Computer Vision and Pattern Recognition (CVPR),2019. (Oral, 5% acceptance rate). PDF Supp Project Slides Poster Video

[PCS'19] A Novel Deep Progressive Image Compression Framework

Chunlei Cai, Li Chen, Xiaoyun Zhang, Guo Lu, Zhiyong Gao

IEEE Picture Coding Symposium (PCS), 2019. PDF

[MM'19] DaNet: Decompose-and-aggregate Network for 3D Human Shape and Pose Estimation

Hongwen Zhang, Jie Cao, Guo Lu , Wanli Ouyang and Zhenan Sun

ACM Multimedia (ACM MM), 2019 PDF

[ECCV'18] Deep Kalman Filtering Network for Video Compression Artifact Reduction

Guo Lu, Wanli Ouyang, Dong Xu, Xiaoyun Zhang, Zhiyong Gao, Ming-Ting Sun

Proceedings of the European Conference on Computer Vision (ECCV), 2018. PDF Video

[TIP'18] Novel Integration of Frame Rate Up Conversion and HEVC Coding based on Rate-Distortion Optimization

Guo Lu, Xiaoyun Zhang, Li Chen, Zhiyong Gao.

IEEE Transactions on Image Processing (TIP), 2018. PDF

Awards

Excellent Doctoral Dissertation Award of Shanghai Jiao Tong University, 2020

Scholarship of China Scholarship Council, 2017

Graduation with honor(top 2%),Shandong Province, 2014

National Scholarship, 2012

Teaching

Undergraduate Courses

Image Compression, Spring 2018, TA at University of Sydney
Foundations of Digital Logic, Spring 2022, Beijing Institute of Technology
Computer Simulation and MATLAB, Fall, 2021, Beijing Institute of Technology

Services

Reviewer for T-PAMI, T-IP, T-CSVT, TMM, CVPR, ICCV, ECCV, etc.

Guest Editor, IJCV special issue on Video Understanding and Video Compression. 2021.

Guest Editor, T-CSVT special issue on Learned Visual Data Compression for both Human and Machine. 2022.

Tutorial Organizer, ACM MM Tutorial on Deep Learning for Visual Data Compression, 2021.

Tutorial Organizer, CVPR Tutorial on Learning for Visual Data Compression, 2021.

Tutorial Organizer, VCIP Tutorial on Learned Image and Video Compression with Deep Neural Networks, 2020.

Tutorial Organizer, IEEE AVSS Tutorial on Deep Learning for Video Compression and Understanding, Taipei, 2019

Senior PC, AAAI 2021.

Contact

Room 403, Building 5, SEIEE, Shanghai Jiao Tong University, China.