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 002; Bin Fu; Yiran Wang 005; et al. (CoRR, 2021)

SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-training for Spatial-Aware Visual Representations. - Zhenyu Li 007; Zehui Chen; Ang Li; Liangji Fang; Qinhong Jiang; Xianming Liu; Junjun Jiang; Bolei Zhou; Hang Zhao (AAAI, 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 007; et al. (ECCV Workshops (3), 2022)

Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-training. - Zhenyu Li 007; Zehui Chen; Ang Li; Liangji Fang; Qinhong Jiang; Xianming Liu; Junjun Jiang (ECCV (9), 2022)

LiteDepth: Digging into Fast and Accurate Depth Estimation on Mobile Devices. - Zhenyu Li 007; Zehui Chen; Jialei Xu; Xianming Liu; Junjun Jiang (ECCV Workshops (2), 2022)

Self-Supervised Monocular Depth Estimation via Discrete Strategy and Uncertainty. - Zhenyu Li 007; Junjun Jiang; Xianming Liu (IEEE CAA J. Autom. Sinica, 2022)

Augment and Criticize: Exploring Informative Samples for Semi-Supervised Monocular 3D Object Detection. - Zhenyu Li 007; Zhipeng Zhang; Heng Fan 001; Yuan He; Ke Wang; Xianming Liu; Junjun Jiang (CoRR, 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 001; Wei Tsang Ooi; Ruijie Zhu 002; Ziyang Song; et al. (CoRR, 2023)

DepthFormer: Exploiting Long-range Correlation and Local Information for Accurate Monocular Depth Estimation. - Zhenyu Li 007; Zehui Chen; Xianming Liu; Junjun Jiang (Mach. Intell. Res., 2023)

PatchFusion: An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation. - Zhenyu Li 007; Shariq Farooq Bhat; Peter Wonka (CVPR, 2024)

PatchRefiner: Leveraging Synthetic Data for Real-Domain High-Resolution Monocular Metric Depth Estimation. - Zhenyu Li 007; Shariq Farooq Bhat; Peter Wonka (ECCV (67), 2024)

AvatarMMC: 3D Head Avatar Generation and Editing with Multi-Modal Conditioning. - Wamiq Reyaz Para; Abdelrahman Eldesokey; Zhenyu Li 007; Pradyumna Reddy; Jiankang Deng; Peter Wonka (CoRR, 2024)

ImmersePro: End-to-End Stereo Video Synthesis Via Implicit Disparity Learning. - Jian Shi; Zhenyu Li 007; Peter Wonka (CoRR, 2024)

StereoCrafter-Zero: Zero-Shot Stereo Video Generation with Noisy Restart. - Jian Shi; Qian Wang; Zhenyu Li 007; Peter Wonka (CoRR, 2024)

Amodal Depth Anything: Amodal Depth Estimation in the Wild. - Zhenyu Li 007; Mykola Lavreniuk; Jian Shi; Shariq Farooq Bhat; Peter Wonka (CoRR, 2024)

BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation. - Zhenyu Li 007; Xuyang Wang; Xianming Liu; Junjun Jiang (IEEE Trans. Image Process., 2024)

PatchRefiner V2: Fast and Lightweight Real-Domain High-Resolution Metric Depth Estimation. - Zhenyu Li 007; Wenqing Cui; Shariq Farooq Bhat; Peter Wonka (CoRR, 2025)

LaRI: Layered Ray Intersections for Single-view 3D Geometric Reasoning. - Rui Li 054; Biao Zhang 005; Zhenyu Li 007; Federico Tombari; Peter Wonka (CoRR, 2025)

BenchDepth: Are We on the Right Way to Evaluate Depth Foundation Models? - Zhenyu Li 007; Haotong Lin; Jiashi Feng; Peter Wonka; Bingyi Kang (CoRR, 2025)