Lechao Cheng received Ph.D degree from Zhejiang University, supervised by Prof. Zhangye Wang and Prof. Wei Chen. His research area centres around Computational Photography, Knowledage Distillation, Few-shot Learning and Fine-grained Image Classification. He serves as a program committee for CVPR2021, CVPR2022, ECCV2020, ECCV2022, ACM MM 2020,2021,2022, IJCAI2022, AAAI2023.


Compound Batch Normalization for Long-tailed Image Classification

Lechao Cheng, Chaowei Fang, Dingwen Zhang, Guanbin Li, Gang Huang
ACM Multimedia 2022

Mix-DANN and Dynamic-Modal-Distillation for Video Domain Adaptation

Yuehao Yin, Bin Zhu, Jingjing Chen, Lechao Cheng, Yu-Gang Jiang
ACM Multimedia 2022

Long-term Leap Attention, Short-term Periodic Shift for Video Classification

Hao Zhang, Lechao Cheng, Yanbin Hao, Chong-wah Ngo
ACM Multimedia 2022

Intrinsic Image Transformation Via Scale Space Decomposition

Lechao Cheng, Chengyi Zhang, Zicheng Liao.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018

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Audeosynth music-driven video montage

Zicheng Liao, Yizhou Yu, Bingcheng Gong, Lechao Cheng
ACM Trans. Graphics(SIGGRAPH), 2015.

Edge-competing pathological liver vessel segmentation with limited labels

Zunlei Feng, Zhonghua Wang, Xinchao Wang, Xiuming Zhang, Lechao Cheng, Jie Lei, Yuexuan Wang, Mingli Song
Thirty-Fifth AAAI Conference on Artificial Intelligence(AAAI), 2021

Boundary Knowledge Translation based Reference Semantic Segmentation

Lechao Cheng*, Zunlei Feng*, Xinchao Wang, Yajie Liu, Jie Lei, Mingli Song
The 30th International Joint Conference on Artificial Intelligence(IJCAI), 2021.

Visual Boundary Knowledge Translation for Foreground Segmentation

Zunlei Feng*, Lechao Cheng*, Xinchao Wang, Xiang Wang, Yajie Liu, Xiangtong Du, Mingli Song
Thirty-Fifth AAAI Conference on Artificial Intelligence(AAAI), 2021

Face Image Inpainting via Variational Autoencoder

Xuefei Zhang, Lechao Cheng, Shengli Bai, Fan Zhang, Nongliang Sun, Zhangye Wang
Journal of Computer-Aided Design & Computer Graphics, 2019

Comparing machine learning models and statistical models for predicting heart failure events a systematic review and meta-analysis

Zhoujian Sun, Wei Dong, Hanrui Shi, Hong Ma, Lechao Cheng, Zhengxing Huang
Frontiers in cardiovascular medicine

Cross-Modality High-Frequency Transformer for MR Image Super-Resolution

Chaowei Fang, Dingwen Zhang, Liang Wang, Yulun Zhang, Lechao Cheng, Junwei Han
ACM Multimedia 2022

CNN LEGO:Disassembling and Assembling Convolutional Neural Network

Jiacong Hu, Jing Gao, Zunlei Feng, Lechao Cheng, Jie Lei, Hujun Bao, Mingli Song
arXiv preprint arXiv:2203.13453

Weakly Supervised Semantic Segmentation via Alternative Self-Dual Teaching

Dingwen Zhang, Wenyuan Zeng, Guangyu Guo, Chaowei Fang, Lechao Cheng, Junwei Han
arXiv preprint arXiv:2112.09459

Disentangled Action Parsing Networks for Accurate Part-level Action Parsing,

Xuanhan Wang, Xiaojia Chen, Lianli Gao, Lechao Cheng, Jingkuan Song
Kinetics-TPS Track on Part-level Action Parsing and Action Recognition(ICCV 2021 DeeperAction Challenge, 3rd).

Learning Optimal Power Flow with Infeasibility Awareness,

Gang Huang, Longfei Liao, Lechao Cheng, Wei Hua
Climate Change AI workshop at ICML 2021(ICML 2021 workshop), 2021.

A Synthesis-By-Analysis Network with Applications in Image Super-Resolution,

Lechao Cheng, Zhangye Wang
Proceedings of Computer Graphics International Conference , 2019.

Synthesizing the Four Seasons of a Scene from Large-Scale Web Images,

Lechao Cheng, Zicheng Liao, Zhangye Wang
Journal of Computer-Aided Design & Computer Graphics, 2017.

Exploiting Non-Local Relationships For Dense Video Captioning,

Lechao Cheng, Xiaowei Zhao,Zicheng Liao,Yang Liu
Proceedings of the British Machine Vision Conference , 2018.
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Lechao Cheng

Ph.D in Computer Science Department of Computer Science Zhejiang University