Chunlin Yu
I'm a second-year master's student at ShanghaiTech University, where I am currently advised by Jingya Wang.
Before pursuing the master's degree, I obtained my bachelor's degree from ShanghaiTech University. I've received the Outstanding Student Award in 2023.
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CV /
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Github
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Research
My research interests include self-supervised learning and human-centered vision, including but not limited to LLM/LVM, deep clustering, biometric recognition, 2D/3D human-object interaction, and affordances.
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Contextually Affinitive Neighborhood Refinery for Deep Clustering/span>
Chunlin Yu,
Ye Shi,
Jingya Wang,
NeurIPS, 2023
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Code
We propose ConAff Neighborhoods for more context-rich neighbor retrievals as well as a progressive Boundary Filtering strategy for noise-resilient neighborhoods.
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Lifelong Person Re-Identification via Knowledge Refreshing and Consolidation/span>
Chunlin Yu,
Ye Shi,
Zimo Liu,
Shenghua Gao,
Jingya Wang
AAAI, 2023
project page
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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.
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Oh-Former: Omni-Relational High-Order Transformer for Person Re-Identification
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.
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