In-field cotton detection via region-based semantic image segmentation. - Yanan Li 006; Zhiguo Cao 001; Hao Lu 003; Yang Xiao 007; Yanjun Zhu; Armin B. Cremers (Comput. Electron. Agric., 2016)

DeepCotton: in-field cotton segmentation using deep fully convolutional network. - Yanan Li 006; Zhiguo Cao 001; Yang Xiao 007; Armin B. Cremers (J. Electronic Imaging, 2017)

MMH: Multi-Modal Hash for Instant Mobile Video Search. - Wenhui Gao; Xinchen Liu; Huadong Ma; Yanan Li 006; Liang Liu 001 (MIPR, 2018)

Performance Evaluation of Crop Segmentation Algorithms. - Yanan Li 006; Ziyun Huang; Zhiguo Cao 001; Hao Lu 003; Haihui Wang; Shuiping Zhang (IEEE Access, 2020)

Unsupervised domain adaptation for in-field cotton boll status identification. - Yanan Li 006; Zhiguo Cao 001; Hao Lu 003; Wenxia Xu (Comput. Electron. Agric., 2020)

In-field cotton boll counting based on a deep neural network of density level classification. - Ziyun Huang; Yanan Li 006; Haihui Wang (J. Electronic Imaging, 2020)

Multi-Encoder Towards Effective Anomaly Detection in Videos. - Zhiwen Fang; Joey Tianyi Zhou; Yang Xiao 007; Yanan Li 006; Feng Yang 012 (IEEE Trans. Multim., 2021)

Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report. - Andrey Ignatov; Grigory Malivenko; Radu Timofte; Lukasz Treszczotko; Xin Chang; Piotr Ksiazek; Michal Lopuszynski; Maciej Pioro; Rafal Rudnicki; Maciej Smyl; Yujie Ma; Zhenyu Li 007; et al. (ECCV Workshops (3), 2022)

Realistic Bokeh Effect Rendering on Mobile GPUs, Mobile AI & AIM 2022 Challenge: Report. - Andrey Ignatov; Radu Timofte; Jin Zhang; Feng Zhang 047; Gaocheng Yu; Zhe Ma; Hongbin Wang 006; Minsu Kwon; Haotian Qian; Wentao Tong; Pan Mu; Ziping Wang; et al. (ECCV Workshops (3), 2022)

TasselNetV3: Explainable Plant Counting With Guided Upsampling and Background Suppression. - Hao Lu 003; Liang Liu 001; Yanan Li 006; Xiao-Ming Zhao; Xi-Qing Wang; Zhiguo Cao 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Cotton seedling counting algorithm based on semantic guidance. - Yanan Li 006; Yuling Tang; Yang Qi; Jianqin Tang (ICRSA, 2023)

NTIRE 2023 Quality Assessment of Video Enhancement Challenge. - Xiaohong Liu 001; Xiongkuo Min; Wei Sun 029; Yulun Zhang 001; Kai Zhang 008; Radu Timofte; Guangtao Zhai; Yixuan Gao; Yuqin Cao; Tengchuan Kou; Yunlong Dong; Ziheng Jia; et al. (CoRR, 2023)

Common pests classification based on asymmetric convolution enhance depthwise separable neural network. - Yanan Li 006; Ming Sun 008; Yang Qi (J. Ambient Intell. Humaniz. Comput., 2023)

In-field cotton counting and localization jointly based on density-guided optimal transport. - Yuhan Huang; Yanan Li 006; Yifei Liu; Dingrun Zheng (Comput. Electron. Agric., 2023)

Discriminable feature enhancement for unsupervised domain adaptation. - Yanan Li 006; Yifei Liu; Dingrun Zheng; Yuhan Huang; Yuling Tang (Image Vis. Comput., 2023)

Box-supervised dynamical instance segmentation for in-field cotton. - Yanan Li 006; Dingrun Zheng; Yifei Liu (Comput. Electron. Agric., 2023)