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Yiran Wang (王一然)

PhD student

Wuhan, China

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Research Interests

  • Computer Vision
  • Video Temporal Consistency
  • Dense Prediction
  • Depth Estimation
  • Semantic Segmentation
  • Autonomous Driving


Biography

    I am a third-year Ph.D. student at Huazhong University of Science and Technology (HUST) supervised by Prof. Zhiguo Cao (expected to graduate in June 2026). My research interests include 3D computer vision, video temporal consistency, dense prediction, and autonomous driving. From Nov. 2023 to Nov. 2024, I work as a visiting student at Prof. Guosheng Lin's group in S-Lab@NTU, Singapore. From APR. 2022 to Aug. 2024, I cooperate with Dr. Jianming Zhang in Adobe Research.

News

  • [ 2024-06 ] Winner Award in "NTIRE 2024 challenge on HR depth from images of specular and transparent surfaces"
  • [ 2023-07 ] One paper is accepted by ACM MM 2023.
  • [ 2023-05 ] One paper is accepted by ICCV 2023.
  • [ 2022-07 ] One paper is accepted by ACM MM 2022.
  • [ 2022-06 ] One paper is accepted by ACCV 2022 as oral presentation.
  • [ 2021-06 ] Runner Up Award in "Mobile AI 2021 challenge on fast and accurate single-image depth estimation"
  • [ 2021-06 ] One paper is accepted by CVPR 2021 Workshops.

Educations and Experiences

Ph.D., Huazhong University of Science and Technology
Sep. 2021 - Jun. 2026
  • Major: Artificial Intelligence, School of Artificial Intelligence and Automation
  • Supervisor: Prof. Zhiguo Cao
  • Research Topics: Depth Estimation, Video Temporal Consistency, Dense Prediction, Semantic Segmentation, Light-weight Models, Knowledge Distillation
  • Honors and Awards: Outstanding Graduate Student, Outstanding Freshman, etc.
B.Eng., Huazhong University of Science and Technology
Sep. 2017 - Jun. 2021
  • Major: Automation Experimental Class, School of Artificial Intelligence and Automation
  • Honors and Awards: Outstanding Graduates, Academic Scholarship, etc.
Visiting Student, NTU and Sensetime Research (S-Lab)
Nov. 2023 - Nov. 2024
  • Supervisor: Prof. Guosheng Lin
  • Research Topics: Autonomous Driving, Camera-Radar/Lidar Multi-modal Fusion
Research Student, Adobe Research
APR. 2022 - AUG. 2024
  • Supervisor: Dr. Jianming Zhang
  • Research Topics: Consistent Video Depth Estimation, In-the-wild Video Depth Dataset


Publications

Neural Video Depth Stabilizer

Yiran Wang, Min Shi, Jiaqi Li, Zihao Huang, Zhiguo Cao, Jianming Zhang, Ke Xian, Guosheng Lin

Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023

Paper  |  GitHub  |  Project

Diffusion-Augmented Depth Prediction with Sparse Annotations

Jiaqi Li, Yiran Wang*, Zihao Huang, Jinghong Zheng, Ke Xian, Zhiguo Cao, Jianming Zhang
(* Corresponding Author)

Proceedings of the 31st ACM International Conference on Multimedia (ACM MM), 2023

Paper  |  Arxiv

Less is More: Consistent Video Depth Estimation with Masked Frames Modeling

Yiran Wang, Zhiyu Pan, Xingyi Li, Zhiguo Cao, Ke Xian, Jianming Zhang

Proceedings of the 30th ACM International Conference on Multimedia (ACM MM), 2022

Paper  |  GitHub  |  Project

NTIRE 2024 challenge on HR depth from images of specular and transparent surfaces

Pierluigi Ramir, Fabio Tosi, Luigi Stefa, Radu Timofte, Alex Costanzino, Matteo Poggi, Samuele Salti, Stefano Matto, Yangyang Zhang, Cailin Wu, Zhuangda He, Shuangshuang Yin, Jiaxu Dong, Yangchenxu Liu, Hao Jiang, Jun Shi, Yixiang Jin, Dingzhe Li, Bingxin Ke, Anton Obukhov, Tinafu Wang, Nando Metzger, Shengyu Huang, Konrad Schindler, Yachuan Huang, Jiaqi Li, Junrui Zhang, Yiran Wang, et al.

IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023

Paper  |  Website

Symmnerf: Learning to explore symmetry prior for single-view view synthesis

Xingyi Li, Chaoyi Hong, Yiran Wang, Zhiguo Cao, Ke Xian, Guosheng Lin

Proceedings of the Asian conference on computer vision (ACCV), 2022 (Oral)

Paper  |  GitHub  |  Project

Knowledge distillation for fast and accurate monocular depth estimation on mobile devices

Yiran Wang, Xingyi Li, Min Shi, Ke Xian, Zhiguo Cao

IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021

Paper

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, et al.

IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021

Paper  |  Website


Competitions

Won Winner Award in "NTIRE 2024 Challenge on HR Depth from Images of Specular and Transparent Surfaces".

Yachuan Huang, Jiaqi Li, Junrui Zhang, Yiran Wang, Zihao Huang, Tianqi Liu, Zhiguo Cao

Won Runner-Up Award in "Mobile AI 2021 Single-Image Depth Estimation Challenge".

Yiran Wang, Xingyi Li, Min Shi, Ke Xian, Zhiguo Cao



Other Experiences

Oct. 2021 - Oct. 2022

Worked on project “Novel View Synthesis and 3D Video Conversion” with Huawei.

Jan. 2023 - Aug. 2024

Worked on project "Efficient Depth Super-resolution and Video Depth Estimation" with Huawei.


Jul. 2019 - Sep. 2019

Worked as the student project leader of NUS AI Summer Camp in Singapore.



Last Updated on 13th Aug, 2024

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