Zhengxiong Luo | Beijing Academy of Artificial Intelligence

About Me

I received my bachelor’s degree from the School of Mechanical Engineering at Shanghai Jiao Tong University (SJTU) and my Ph.D. degree from the Institute of Automation, Chinese Academy of Sciences (CASIA). I am currently a full-time researcher at the Beijing Academy of Artificial Intelligence (BAAI).

Research Interests

My research background includes human pose estimation, low-level vision tasks, and diffusion-based visual generation.

First-Author Publications

Zhengxiong Luo, Yan Huang, Shang Li, Liang Wang, Tieniu Tan, End-to-End Alternating Optimization for Real-World Blind Super Resolution, International Journal of Computer Vision (IJCV), 2023, volume 131, pp. 3152-3169.
Zhengxiong Luo, Dayou Chen, Yingya Zhang, Yan Huang, Liang Wang, Yujun Shen, Deli Zhao, Jinren Zhou, Tieniu Tan, VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, pp. 10209-10218.
Zhengxiong Luo, Yan Huang, Shang Li, Liang Wang, Tieniu Tan, Learning the Degradation Distribution for Deep Blind Super Resolution, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, pp. 6063-6072.
Zhengxiong Luo, Zhicheng Wang, Yuanhao Cai, Guan Wang, Yan Huang, Liang Wang, Tieniu Tan, Jian Sun, Efficient Human Pose Estimation by Learning Deeply Aggregated Representations, IEEE International Conference on Multimedia and Expo (ICME) 2021, pp. 1-6.
Zhengxiong Luo, Zhicheng Wang, Yan Huang, Liang Wang, Tieniu Tan, Erjin Zhou, Rethinking the Heatmap Regression for Bottom-up Human Pose Estimation, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, pp. 13264-13273.
Zhengxiong Luo, Yan Huang, Shang Li, Liang Wang, Tieniu Tan, Unfolding the Alternating Optimization for Blind Super Resolution, Advances in Neural Information Processing Systems (NeurIPS), 2020, volume 33, pp. 5632-5643.