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ORCIDZhenyu Li 0007
Person information
- affiliation: King Abdullah University of Science and Technology, Saudi Arabia
Other persons with the same name
- Zhenyu Li — disambiguation page
- Zhenyu Li 0001
![[0000-0002-9959-1124]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-9959-1124")
— Chinese Academy Sciences, Institute of Computing Technology, Beijing, China - Zhenyu Li 0002 — Harbin Institute of Technology, State Key Laboratory of Robotics and System, China
- Zhenyu Li 0003 — Xidian University, National Laboratory of Radar Signal Processing, Xi'an, China
- Zhenyu Li 0004 — University of York, Department of Computer Science, UK (and 1 more)
- Zhenyu Li 0005 (aka: Anthony Zhenyu Li) — University of Warwick, Department of Computer Science, Coventry, UK
- Zhenyu Li 0006 — Wuhan University of Science and Technology, China
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2020 – today
- 2024
[j3]Zhenyu Li, Xuyang Wang, Xianming Liu, Junjun Jiang:
BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation. IEEE Trans. Image Process. 33: 3964-3976 (2024)- [c6]Zhenyu Li, Shariq Farooq Bhat, Peter Wonka:
PatchFusion: An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation. CVPR 2024: 10016-10025 - [c5]Zhenyu Li, Shariq Farooq Bhat, Peter Wonka:
PatchRefiner: Leveraging Synthetic Data for Real-Domain High-Resolution Monocular Metric Depth Estimation. ECCV (67) 2024: 250-267 - [i15]Wamiq Reyaz Para, Abdelrahman Eldesokey, Zhenyu Li, Pradyumna Reddy, Jiankang Deng, Peter Wonka:
AvatarMMC: 3D Head Avatar Generation and Editing with Multi-Modal Conditioning. CoRR abs/2402.05803 (2024) - [i14]Zhenyu Li, Shariq Farooq Bhat, Peter Wonka:
PatchRefiner: Leveraging Synthetic Data for Real-Domain High-Resolution Monocular Metric Depth Estimation. CoRR abs/2406.06679 (2024) - [i13]Jian Shi, Zhenyu Li, Peter Wonka:
ImmersePro: End-to-End Stereo Video Synthesis Via Implicit Disparity Learning. CoRR abs/2410.00262 (2024) - [i12]Jian Shi, Qian Wang, Zhenyu Li, Peter Wonka:
StereoCrafter-Zero: Zero-Shot Stereo Video Generation with Noisy Restart. CoRR abs/2411.14295 (2024) - [i11]Zhenyu Li, Mykola Lavreniuk, Jian Shi, Shariq Farooq Bhat, Peter Wonka:
Amodal Depth Anything: Amodal Depth Estimation in the Wild. CoRR abs/2412.02336 (2024) - 2023
- [j2]Zhenyu Li, Zehui Chen, Xianming Liu, Junjun Jiang:
DepthFormer: Exploiting Long-range Correlation and Local Information for Accurate Monocular Depth Estimation. Mach. Intell. Res. 20(6): 837-854 (2023) - [i10]Zhenyu Li, Zhipeng Zhang, Heng Fan, Yuan He, Ke Wang, Xianming Liu, Junjun Jiang:
Augment and Criticize: Exploring Informative Samples for Semi-Supervised Monocular 3D Object Detection. CoRR abs/2303.11243 (2023) - [i9]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:
The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation. CoRR abs/2307.15061 (2023) - [i8]Zhenyu Li, Shariq Farooq Bhat, Peter Wonka:
PatchFusion: An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation. CoRR abs/2312.02284 (2023) - 2022
- [j1]Zhenyu Li, Junjun Jiang, Xianming Liu:
Self-Supervised Monocular Depth Estimation via Discrete Strategy and Uncertainty. IEEE CAA J. Autom. Sinica 9(7): 1307-1310 (2022) - [c4]Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang, Bolei Zhou, Hang Zhao:
SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-training for Spatial-Aware Visual Representations. AAAI 2022: 1500-1508 - [c3]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:
Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report. ECCV Workshops (3) 2022: 71-91 - [c2]Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang:
Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-training. ECCV (9) 2022: 245-262 - [c1]Zhenyu Li, Zehui Chen, Jialei Xu, Xianming Liu, Junjun Jiang:
LiteDepth: Digging into Fast and Accurate Depth Estimation on Mobile Devices. ECCV Workshops (2) 2022: 507-523 - [i7]Zhenyu Li, Zehui Chen, Xianming Liu, Junjun Jiang:
DepthFormer: Exploiting Long-Range Correlation and Local Information for Accurate Monocular Depth Estimation. CoRR abs/2203.14211 (2022) - [i6]Zhenyu Li, Xuyang Wang, Xianming Liu, Junjun Jiang:
BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation. CoRR abs/2204.00987 (2022) - [i5]Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang:
Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-Training. CoRR abs/2204.11590 (2022) - [i4]Zhenyu Li, Zehui Chen, Jialei Xu, Xianming Liu, Junjun Jiang:
LiteDepth: Digging into Fast and Accurate Depth Estimation on Mobile Devices. CoRR abs/2209.00961 (2022) - [i3]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:
Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report. CoRR abs/2211.04470 (2022) - 2021
- [i2]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:
Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report. CoRR abs/2105.08630 (2021) - [i1]Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang, Bolei Zhou, Hang Zhao:
SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations. CoRR abs/2112.04680 (2021)
Coauthor Index
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