Zhenyu Li

According to our database, Zhenyu Li authored at least 12 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation.

Zhenyu Li, Xuyang Wang, Xianming Liu, Junjun Jiang

IEEE Trans. Image Process., 2024

PatchRefiner: Leveraging Synthetic Data for Real-Domain High-Resolution Monocular Metric Depth Estimation.

Zhenyu Li, Shariq Farooq Bhat, Peter Wonka

CoRR, 2024

PatchFusion: An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation.

Zhenyu Li, Shariq Farooq Bhat, Peter Wonka

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

DepthFormer: Exploiting Long-range Correlation and Local Information for Accurate Monocular Depth Estimation.

Zhenyu Li, Zehui Chen, Xianming Liu, Junjun Jiang

Mach. Intell. Res., December, 2023

The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation.

Lingdong Kong, Yaru Niu, Shaoyuan Xie, Hanjiang Hu, Lai Xing Ng, Benoit R. Cottereau, Ding Zhao, Liangjun Zhang, Hesheng Wang, Wei Tsang Ooi, Ruijie Zhu, Ziyang Song, Li Liu, Tianzhu Zhang, Jun Yu, Mohan Jing, Pengwei Li, Xiaohua Qi, Cheng Jin, Yingfeng Chen, Jie Hou, Jie Zhang, Zhen Kan, Qiang Ling, Liang Peng, Minglei Li, Di Xu, Changpeng Yang, Yuanqi Yao, Gang Wu, Jian Kuai, Xianming Liu, Junjun Jiang, Jiamian Huang, Baojun Li, Jiale Chen, Shuang Zhang, Sun Ao, Zhenyu Li, Runze Chen, Haiyong Luo, Fang Zhao, Jingze Yu

CoRR, 2023

Augment and Criticize: Exploring Informative Samples for Semi-Supervised Monocular 3D Object Detection.

Zhenyu Li, Zhipeng Zhang, Heng Fan, Yuan He, Ke Wang, Xianming Liu, Junjun Jiang

CoRR, 2023

2022

Self-Supervised Monocular Depth Estimation via Discrete Strategy and Uncertainty.

Zhenyu Li, Junjun Jiang, Xianming Liu

IEEE CAA J. Autom. Sinica, 2022

LiteDepth: Digging into Fast and Accurate Depth Estimation on Mobile Devices.

Zhenyu Li, Zehui Chen, Jialei Xu, Xianming Liu, Junjun Jiang

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-training.

Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang

Proceedings of the Computer Vision - ECCV 2022, 2022

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, Zehui Chen, Jialei Xu, Xianming Liu, Junjun Jiang, XueChao Shi, Difan Xu, Yanan Li, Xiaotao Wang, Lei Lei, Ziyu Zhang, Yicheng Wang, Zilong Huang, Guozhong Luo, Gang Yu, Bin Fu, Jiaqi Li, Yiran Wang, Zihao Huang, Zhiguo Cao, Marcos V. Conde, Denis Sapozhnikov, Byeong Hyun Lee, Dongwon Park, Seongmin Hong, Joonhee Lee, Seunggyu Lee, Se Young Chun

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-training for Spatial-Aware Visual Representations.

Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang, Bolei Zhou, Hang Zhao

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report.

Andrey Ignatov, Grigory Malivenko, David Plowman, Samarth Shukla, Radu Timofte, Ziyu Zhang, Yicheng Wang, Zilong Huang, Guozhong Luo, Gang Yu, Bin Fu, Yiran Wang, Xingyi Li, Min Shi, Ke Xian, Zhiguo Cao, Jin-Hua Du, Pei-Lin Wu, Chao Ge, Jiaoyang Yao, Fangwen Tu, Bo Li, Jung Eun Yoo, Kwanggyoon Seo, Jialei Xu, Zhenyu Li, Xianming Liu, Junjun Jiang, Wei-Chi Chen, Shayan Joya, Huanhuan Fan, Zhaobing Kang, Ang Li, Tianpeng Feng, Yang Liu, Chuannan Sheng, Jian Yin, Fausto T. Benavide

CoRR, 2021