Chunlin Yu
I'm a third-year master's student at ShanghaiTech University, where I am currently advised by Prof. Jingya Wang.
Before pursuing the master's degree, I obtained my bachelor's degree from ShanghaiTech University.
Email / CV / Google Scholar / Github
Research
My research interests include self-supervised learning and human-centered vision, including but not limited to MLLMs, deep clustering, biometric recognition, 2D/3D human-object interaction, and affordances.
Chunlin Yu*, Hanqing Wang*, Ye Shi, Haoyang Luo, Sibei Yang, Jingyi Yu, Jingya Wang†
CVPR, 2025
Paper / Code
We introduce SeqAfford, a Multi-Modal Language Model (MLLM) capable of serialized affordance inference implied in human instructions.
Yilan Dong, Chunlin Yu, Ruiyang Ha, Ye Shi, Yuexin Ma, Yanwei Fu, Jingya Wang†,
AAAI, 2024
Paper / Code
A challenging benchmark CCGait that captures realistic appearance changes over expanded time and space, as well as a hybrid framework HybridGait.
Chunlin Yu, Ye Shi, Jingya Wang†,
NeurIPS, 2023
Paper / Code
We propose ConAff Neighborhoods for more context-rich neighbor retrievals as well as a progressive Boundary Filtering strategy for noise-resilient neighborhoods.
Chunlin Yu, Ye Shi, Zimo Liu, Shenghua Gao, Jingya Wang†
AAAI, 2023
project page / Paper
Using a biological-inspired network involving a dynamical memory model and an adaptive working model to refresh and consolidate the knowledge on the fly.
Xianing Chen*, Chunlin Yu*, Qiong Cao, Jialang Xu, Yujie Zhong, Jiale Xu, Zhengxin Li, Jingya Wang, Shenghua Gao†
arXiv, 2021
A high-order transformer that captures omni-relational information for person re-identification.
Fored from jonbarron's website.