About Me
I’m a honours year (4th year) undergraduate student at the University of Sydney, advised by Prof. Zhiyong Wang. I’m also a current visiting student in University of California, Merced, advised by Prof. Ming-Hsuan Yang, working with Dr. Lu Qi and Dr. Varun Jampani.
The saying I like most is:
“Don’t make yourself be in a limit”
In Chinese: “不要让自己受限”
Which is from my supervisor Prof. Kun He when I was in high school.
Research Interest
My main research interests is in computer vision related generation problem (Diffusion Model), 3D rendering (NeRF), video understanding, pose estimation, knowledge distillation. I also have some minor research fields like adverserial example and neural network uncertainty estimation / calibration.
Affiliations
Current
Vision and Learning Lab @ UC Merced : Visiting Student
Multimedia Computing Lab @ USyd : Research Assistant
Data Science Institute @ UTS : Research Assistant
School of Computer Science @ USyd : Casual Academic (U.S. Teaching Assistant)
Past
Multimedia Computing Lab @ USyd : Researcher
John Hopcroft Lab @ HUST : Research Intern
Selected Publications (* indicates equal contributions)
- Lu Qi*, Lehan Yang*, Weidong Guo, Yu Xu, Bo Du, Varun Jampani, Ming-Hsuan Yang.“UniGS:
Unified Representation for Image Generation and Segmentation”.
CVPR 2024
ArXiv - Lu Qi*, Yi-Wen Chen*, Lehan Yang*, Tiancheng SHEN, Xiangtai Li, Weidong Guo, Yu Xu,
Ming-Hsuan Yang.“Generalizable Entity Grounding via Assistance of Large Language Model”.
Preprint
ArXiv
Publications (* indicates equal contributions)
Refer to my Google Scholar profile for a more up-to-date list of publications.
- Ancuti, Codruta et al. (incl. Yang, Lehan.) “NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report”. 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (2023): 1808-1824.
- Yang, Lehan and Jincen Song. “Rethinking the Knowledge Distillation From the Perspective of Model Calibration.” ArXiv abs/2111.01684 (2021): n. pag.
- Yang, Lehan and Xu, Kele. “Cross Modality Knowledge Distillation for Multi-modal Aerial View Object Classification.” 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (2021): 382-387.
- Liu, Jerrick et al. (incl. Yang, Lehan.) “NTIRE 2021 Multi-modal Aerial View Object Classification Challenge.” 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (2021): 588-595.
- Ancuti, Codruta Orniana et al. (incl. Yang, Lehan.) “NTIRE 2021 NonHomogeneous Dehazing Challenge Report.” 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (2021): 627-646.
- Gu, Jinjin et al. (incl. Yang, Lehan.) “NTIRE 2021 Challenge on Perceptual Image Quality Assessment.” 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (2021): 677-690.
- SHANG Jun-yuan, YANG Le-han, HE Kun. Analyzing Latent Representation of Deep Neural Networks Based on Feature Visualization[J]. Computer Science, 2020, 47(5): 190-197. / CCFAI, 2019.
- Shugaev, Maxim V., Yang, Lehan. et al. “DCASE 2019 Challenge: Audio Tagging with Noisy Labels and the Effect of Model Architecture.” (2019). Preprint 2019.
Competitions
Year | Award | Category |
---|---|---|
2023 | Ranks 9th out of 101 | NTIRE 2023 HR NonHomogeneous Dehazing Challenge |
2021 | Ranks 6th out of 162 | NTIRE 2021 Multi-modal Aerial View Object Classification Challenge - Track 2 (SAR+EO) |
2021 | Ranks 7th out of 283 | NTIRE 2021 Perceptual Image Quality Assessment Challenge |
2021 | Ranks 11th out of 338 | NTIRE 2021 NonHomogeneous Dehazing Challenge |
2019 | Gold Medal ranks 9th out of 880 | Kaggle Freesound Audio Tagging 2019 |
2019 | Silver Medal ranks 31st out of 2129 | Kaggle Humpback Whale Identification Competition 2019 |
2019 | Silver Medal ranks 106th out of 2169 | Kaggle Human Protein Atlas Image Classification Competition 2019 |
2019 | Bronze Medal ranks 78th out of 1475 | Kaggle SIIM-ACR Pneumothorax Segmentation 2019 |
Professional Services
Conference Reviewer
CVPR 2024
ECCV 2024
Journal Reviewer
TPAMI
Neurocomputing
Teaching
DATA2001: Data Science, Big Data and Data Variety \ TA:2023 / Head TA: 2024
ISYS2120: Data and Information Management \ TA:2023
Misc
I like cycling, I always riding from Sydney to Wollongong via Royal National Park.
Also, as a seasoned professional, I specialize in the cost-efficient procurement, installation, and management of GPU servers for personal and laboratory use. My proficiency also extends to establishing high-speed networks.