Muchen Li

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 16

Top Topics

Neural Architectures

Compressed Sensing

Top Venues

IEEE Trans. Image Process.

Publications

Muchen Li, Jeffrey Yunfan Liu, Leonid Sigal, Renjie Liao
GraphPNAS: Learning Probabilistic Graph Generators for Neural Architecture Search. Trans. Mach. Learn. Res. 2023 (2023)
Muchen Li, Jeffrey Yunfan Liu, Leonid Sigal, Renjie Liao
GraphPNAS: Learning Distribution of Good Neural Architectures via Deep Graph Generative Models. CoRR (2022)
Bo Pang, Yizhuo Li, Jiefeng Li, Muchen Li, Hanwen Cao, Cewu Lu
TDAF: Top-Down Attention Framework for Vision Tasks. AAAI (2021)
Muchen Li, Leonid Sigal
Referring Transformer: A One-step Approach to Multi-task Visual Grounding. CoRR (2021)
Xiangyu Xu, Muchen Li, Wenxiu Sun, Ming-Hsuan Yang
Learning Spatial and Spatio-Temporal Pixel Aggregations for Image and Video Denoising. CoRR (2021)
Muchen Li, Leonid Sigal
Referring Transformer: A One-step Approach to Multi-task Visual Grounding. NeurIPS (2021)
Dario Fuoli, Zhiwu Huang, Martin Danelljan, Radu Timofte, Hua Wang, Longcun Jin, Dewei Su, Jing Liu, Jaehoon Lee, Michal Kudelski, Lukasz Bala, Dmitry Hrybov, Marcin Mozejko, Muchen Li, Siyao Li, Bo Pang, Cewu Lu, Chao Li, Dongliang He, Fu Li, Shilei Wen
NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results. CVPR Workshops (2020)
Bo Pang, Yizhuo Li, Yifan Zhang, Muchen Li, Cewu Lu
TubeTK: Adopting Tubes to Track Multi-Object in a One-Step Training Model. CoRR (2020)
Jiayao Xu, Jirayu Peetakul, Muchen Li, Jinjia Zhou
High-speed Compressed Sensing Reconstruction using Zigzag Ordering based Parallel Processing. ICVIP (2020)
Bo Pang, Yizhuo Li, Yifan Zhang, Muchen Li, Cewu Lu
TubeTK: Adopting Tubes to Track Multi-Object in a One-Step Training Model. CVPR (2020)
Xiangyu Xu, Muchen Li, Wenxiu Sun, Ming-Hsuan Yang
Learning Spatial and Spatio-Temporal Pixel Aggregations for Image and Video Denoising. IEEE Trans. Image Process. 29 (2020)
Dario Fuoli, Zhiwu Huang, Martin Danelljan, Radu Timofte, Hua Wang, Longcun Jin, Dewei Su, Jing Liu, Jaehoon Lee, Michal Kudelski, Lukasz Bala, Dmitry Hrybov, Marcin Mozejko, Muchen Li, Siyao Li, Bo Pang, Cewu Lu, Chao Li, Dongliang He, Fu Li, Shilei Wen
NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results. CoRR (2020)
Bo Pang, Yizhuo Li, Jiefeng Li, Muchen Li, Hanwen Cao, Cewu Lu
TDAF: Top-Down Attention Framework for Vision Tasks. CoRR (2020)
Man M. Ho, Jinjia Zhou, Gang He, Muchen Li, Lei Li
SR-CL-DMC: P-frame coding with Super-Resolution, Color Learning, and Deep Motion Compensation. CVPR Workshops (2020)
Xiangyu Xu, Muchen Li, Wenxiu Sun
Learning Deformable Kernels for Image and Video Denoising. CoRR (2019)
Jiawei Li, Jingpeng Li, Ruibin Bai, Robert Duncan, Muchen Li, Graham Kendall
Collective Strategies with a Master-slave Mechanism Dominate in Spatial Iterated Prisoner's Dilemma. CoRR (2018)
Muchen Li, Keiichi Chono, Satoshi Goto
Low-complexity merge candidate decision for fast HEVC encoding. ICME Workshops (2013)
Muchen Li, Jinjia Zhou, Dajiang Zhou, Xiao Peng, Satoshi Goto
A Dual-Mode Deblocking Filter Design for HEVC and H.264/AVC. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (6) (2013)
Muchen Li, Jinjia Zhou, Dajiang Zhou, Xiao Peng, Satoshi Goto
De-blocking Filter Design for HEVC and H.264/AVC. PCM (2012)