Luming Liang

Luming Liang is a principal research manager in Microsoft’s Applied Sciences Group (ASG).

Before moving back to Microsoft, he was a software engineer in Uber’s Advanced Technology Group focusing on extracting information from imagery using computer vision and deep learning to solve large-scale, real-world problems.

Before that, he was a data and applied scientist in Microsoft’s Bing Geospatial group until it was acquired by Uber in 2015.

While earning his M.S. and Ph.D. at the Colorado School of Mines, Luming interned at Landmark Graphics, Halliburton (2009), ION Geophyiscs (2012), and Microsoft (2013), respectively.

• OTOV2: Automatic, Generic, User-Friendly

  The Eleventh International Conference on Learning Representations (ICLR), 2023 June, 2023 Pages 1-25

  By Tianyi Chen, Luming Liang, Tianyu Ding, Ilya Zharkov, Zhihui Zhu
• RSTT: Real-time Spatial Temporal Transformer for Space-Time Video Super-Resolution

  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 June, 2022 Pages 17441-17451

  By Zhicheng Geng, Luming Liang, Tianyu Ding, Ilya Zharkov
• Only Train Once: A One-Shot Neural Network Training And Pruning Framework

  35th Conference on Neural Information Processing Systems (NeurIPS 2021) July, 2021

  By Tianyi Chen, Bo Ji, Tianyu Ding, Biyi Fang, Guanyi Wang, Zhihui Zhu, Luming Liang, Yixin Shi, Sheng Yi, Xiao Tu
• Guidance Network with Staged Learning for Image enhancement

  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2021 June, 2021 Pages 836-845

  By Luming Liang, Ilya Zharkov, Faezeh Amjadi, Hamid Vaezi Joze, Vivek Pradeep
• CDFI: Compression-Driven Network Design for Frame Interpolation

  Computer Vision and Pattern Recognition (CVPR), 2021 June, 2021 Pages 8001-8011

  By Tianyu Ding, Luming Liang, Zhihui Zhu, Ilya Zharkov
• Free Viewpoint Teleconferencing Using Cameras Behind Screen

  SID Symposium Digest of Technical Papers May, 2021 Vol. 52 Pages 218-221 ISSN: 0097-996X

  By Sehoon Lim, Luming Liang, Yatao Zhong, Neil Emerton, Tim Large, Steven Bathiche

  (Reproduced courtesy of SID.)
• Smart Display Clearly Sees via Deep Learning

  Proceedings of the International Display Workshops, (IDW '20) December, 2020 Vol. 27 ISSN: 2436-0252

  By Sehoon Lim, Luming Liang, Neil Emerton, Tim Large, Steven Bathiche
• ImagePairs: Realistic Super Resolution Dataset via Beam Splitter Camera Rig

  The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops June, 2020

  By Hamid Vaezi Joze, Ilya Zharkov, Karlton Powell, Carl Ringler, Luming Liang, Andy Roulston, Moshe Lutz, Vivek Pradeep