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.

Email  /  CV  /  Google Scholar  /  Github

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.

HybridGait: A Benchmark for Spatial-Temporal Cloth-Changing Gait Recognition with Hybrid Explorations
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.

Contextually Affinitive Neighborhood Refinery for Deep Clustering
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.

Lifelong Person Re-Identification via Knowledge Refreshing and Consolidation
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.

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.

Services

Conference Reviewers: CVPR 2024, ICLR 2024

Journal Reviewers: TNNLS 2022, TMM 2023

Fored from jonbarron's website.