Learning Class-Based Graph Representation for Object Detection. - Shuyu Miao; Rui Feng 001; Yuejie Zhang; Weiguo Fan (ECAI, 2020)

Representation Reconstruction Head for Object Detection. - Shuyu Miao; Rui Feng 001; Yuejie Zhang (ICIP, 2020)

DG-FPN: Learning Dynamic Feature Fusion Based on Graph Convolution Network For Object Detection. - Huayu Li; Shuyu Miao; Rui Feng 001 (ICME, 2020)

Object-Oriented Relational Distillation for Object Detection. - Shuyu Miao; Rui Feng 001 (ICASSP, 2021)

Temporally Coarse to Fine Snippets Relationship Learning with Graph Convolution for Temporal Action Proposal Generation. - Shuaicheng Li; Rui-Wei Zhao; Shuyu Miao; Rui Feng 001 (ICME, 2021)

Disentangled Feature Network for Fine-Grained Recognition. - Shuyu Miao; Shuaicheng Li; Lin Zheng; Wei Yu; Jingjing Liu; Mingming Gong; Rui Feng 001 (ICONIP (2), 2021)

Dynamically Connected Graph Representation for Object Detection. - Shuyu Miao; Lin Zheng; Hong Jin; Rui Feng 001 (ICONIP (3), 2022)

Learning Feature Disentanglement and Dynamic Fusion for Recaptured Image Forensic. - Shuyu Miao; Lin Zheng; Hong Jin (CoRR, 2022)

Balanced single-shot object detection using cross-context attention-guided network. - Shuyu Miao; Shanshan Du; Rui Feng 001; Yuejie Zhang; Huayu Li; Tianbi Liu; Lin Zheng; Weiguo Fan (Pattern Recognit., 2022)

K-means Clustering Based Feature Consistency Alignment for Label-free Model Evaluation. - Shuyu Miao; Lin Zheng; Jingjing Liu; Hong Jin (CVPR Workshops, 2023)

LGF2: Local and Global Feature Fusion for Text-Guided Object Detection. - Shuyu Miao; Hexiang Zheng; Lin Zheng; Hong Jin (ICANN (7), 2023)

Divide-and-Aggregate Learning for Evaluating Performance on Unlabeled Data. - Shuyu Miao; Jian Liu; Lin Zheng; Hong Jin (AAAI, 2024)