Guo Lu

Assistant Professor

Beijing Institute of Technology

I am an assistant professor at the Beijing Institute of Technology. Before this, I obtained my Ph.D degree in the Department of Electronic Engineering, Shanghai Jiao Tong Univrsity at 2020. From Sep. 2017 to Mar. 2019, I was a visiting student in the University of Sydney and work with Dong Xu and 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 machine learning. In particular, I proposed the first end-to-end optimized video codec. Here is my CV(中文简历).

News

Tue, Mar 9, 2021

We are organizing a tutorial Learning for Visual Data Compression on CVPR2021.

Mon, Mar 8, 2021

Two papers are accepted at CVPR2021.

Tue, Dec 1, 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

Fri, Sep 18, 2020

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

Fri, Jul 3, 2020

Two oral papers are accepted at ECCV2020.

Mon, Mar 30, 2020

My homepage is online.

Recent Publications

More Publications

[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

[ICIP'16] A Novel Framework of Frame Rate Up Conversion Integrated Within HEVC Coding

Guo Lu, Xiaoyun Zhang, Zhiyong Gao

IEEE International Conference on Image Processing (ICIP), 2016 PDF

Guo Lu

Assistant Professor

Beijing Institute of Technology

News

Recent Publications

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

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

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

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

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

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

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

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

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

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

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

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

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

[ICIP'16] A Novel Framework of Frame Rate Up Conversion Integrated Within HEVC Coding

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