Chengcheng Li — accepted AI-conference papers

2026

Context-aware Dynamic Contrastive Learning Network and E-Bike Rider Benchmark for Person Search

Hongchao Li, Chengcheng Li, Xixi Wang, YongLong Luo

AAAI 2026technical

Person search is a challenging computer vision task that aims to simultaneously detect and re-identify individuals from uncropped gallery images. However, most existing approaches are limited by restricted receptive fields, leading to distorted local feature representations under occlusions or compl

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2021

Convolutional Neural Network Pruning With Structural Redundancy Reduction

Zi Wang, Chengcheng Li, Xiangyang Wang

CVPR 2021poster

Convolutional neural network (CNN) pruning has become one of the most successful network compression approaches in recent years. Existing works on network pruning usually focus on removing the least important filters in the network to achieve compact architectures. In this study, we claim that ident…

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