Learning Delicate Local Representations for Multi-person Pose Estimation. - Yuanhao Cai; Zhicheng Wang 001; Zhengxiong Luo 001; Binyi Yin; Angang Du; Haoqian Wang; Xiangyu Zhang 005; Xinyu Zhou; Erjin Zhou; Jian Sun 001 (ECCV (3), 2020)

Efficient Super Resolution by Recursive Aggregation. - Zhengxiong Luo 001; Yan Huang 008; Shang Li; Liang Wang 001; Tieniu Tan (ICPR, 2020)

Unfolding the Alternating Optimization for Blind Super Resolution. - Zhengxiong Luo 001; Yan Huang 008; Shang Li; Liang Wang 001; Tieniu Tan (NeurIPS, 2020)

Rethinking the Heatmap Regression for Bottom-up Human Pose Estimation. - Zhengxiong Luo 001; Zhicheng Wang 001; Yan Huang 008; Tieniu Tan; Erjin Zhou (CoRR, 2020)

Approaching the Limit of Image Rescaling via Flow Guidance. - Shang Li; Guixuan Zhang; Zhengxiong Luo 001; Jie Liu 028; Zhi Zeng; Shuwu Zhang (BMVC, 2021)

Rethinking the Heatmap Regression for Bottom-Up Human Pose Estimation. - Zhengxiong Luo 001; Zhicheng Wang 001; Yan Huang 008; Liang Wang 001; Tieniu Tan; Erjin Zhou (CVPR, 2021)

Efficient Human Pose Estimation by Learning Deeply Aggregated Representations. - Zhengxiong Luo 001; Zhicheng Wang 001; Yuanhao Cai; Guan'an Wang; Liang Wang 001; Yan Huang 008; Erjin Zhou; Tieniu Tan; Jian Sun 001 (ICME, 2021)

End-to-end Alternating Optimization for Blind Super Resolution. - Zhengxiong Luo 001; Yan Huang 008; Shang Li; Liang Wang 001; Tieniu Tan (CoRR, 2021)

Adaptive Dilated Convolution For Human Pose Estimation. - Zhengxiong Luo 001; Zhicheng Wang 001; Yan Huang 008; Liang Wang 001; Tieniu Tan; Erjin Zhou (CoRR, 2021)

NTIRE 2022 Burst Super-Resolution Challenge. - Goutam Bhat; Martin Danelljan; Radu Timofte; Yizhen Cao; Yuntian Cao; Meiya Chen; Xihao Chen; Shen Cheng; Akshay Dudhane; Haoqiang Fan; Ruipeng Gang; Jian Gao 008; et al. (CVPR Workshops, 2022)

Learning the Degradation Distribution for Blind Image Super-Resolution. - Zhengxiong Luo 001; Yan Huang 008; Shang Li; Liang Wang 001; Tieniu Tan (CoRR, 2022)

From general to specific: Online updating for blind super-resolution. - Shang Li; Guixuan Zhang; Zhengxiong Luo 001; Jie Liu 028; Zhi Zeng; Shuwu Zhang (Pattern Recognit., 2022)

VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation. - Zhengxiong Luo 001; Dayou Chen; Yingya Zhang; Yan Huang 008; Liang Wang 001; Yujun Shen; Deli Zhao; Jingren Zhou 001; Tieniu Tan (CoRR, 2023)

End-to-End Alternating Optimization for Real-World Blind Super Resolution. - Zhengxiong Luo 001; Yan Huang 008; Shang Li; Liang Wang 001; Tieniu Tan (Int. J. Comput. Vis., 2023)

Degradation regression with uncertainty for blind super-resolution. - Shang Li; Guixuan Zhang; Zhengxiong Luo 001; Jie Liu 028; Zhi Zeng; Shuwu Zhang (Neurocomputing, 2024)