RPC: A Large-Scale Retail Product Checkout Dataset. - Xiu-Shen Wei; Quan Cui; Lei Yang; Peng Wang 023; Lingqiao Liu (CoRR, 2019)

Deep Learning for Fine-Grained Image Analysis: A Survey. - Xiu-Shen Wei; Jianxin Wu 001; Quan Cui (CoRR, 2019)

BBN: Bilateral-Branch Network With Cumulative Learning for Long-Tailed Visual Recognition. - Boyan Zhou; Quan Cui; Xiu-Shen Wei; Zhao-Min Chen (CVPR, 2020)

ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval. - Quan Cui; Qing-Yuan Jiang; Xiu-Shen Wei; Wu-Jun Li; Osamu Yoshie (ECCV (3), 2020)

ZeroVL: A Strong Baseline for Aligning Vision-Language Representations with Limited Resources. - Quan Cui; Boyan Zhou; Yu Guo; Weidong Yin; Hao Wu; Osamu Yoshie (CoRR, 2021)

Disentangling, Embedding and Ranking Label Cues for Multi-Label Image Recognition. - Zhao-Min Chen; Quan Cui; Xiu-Shen Wei; Xin Jin; Yanwen Guo 001 (IEEE Trans. Multim., 2021)

Decoupled Knowledge Distillation. - Borui Zhao; Quan Cui; Renjie Song; Yiyu Qiu; Jiajun Liang (CVPR, 2022)

Discriminability-Transferability Trade-Off: An Information-Theoretic Perspective. - Quan Cui; Bingchen Zhao; Zhao-Min Chen; Borui Zhao; Renjie Song; Boyan Zhou; Jiajun Liang; Osamu Yoshie (ECCV (26), 2022)

Contrastive Vision-Language Pre-training with Limited Resources. - Quan Cui; Boyan Zhou; Yu Guo; Weidong Yin; Hao Wu; Osamu Yoshie; Yubo Chen 004 (ECCV (36), 2022)

RPC: a large-scale and fine-grained retail product checkout dataset. - Xiu-Shen Wei; Quan Cui; Lei Yang; Peng Wang 023; Lingqiao Liu; Jian Yang 003 (Sci. China Inf. Sci., 2022)

Asian stock markets closing index forecast based on secondary decomposition, multi-factor analysis and attention-based LSTM model. - Jujie Wang; Quan Cui; Xin Sun; Maolin He (Eng. Appl. Artif. Intell., 2022)

Delving into the representation learning of deep hashing. - Quan Cui; Zhao-Min Chen; Osamu Yoshie (Neurocomputing, 2022)

SST: Spatial and Semantic Transformers for Multi-Label Image Recognition. - Zhao-Min Chen; Quan Cui; Borui Zhao; Ren-Jie Song; Xiaoqin Zhang 002; Osamu Yoshie (IEEE Trans. Image Process., 2022)

A Simple Framework for Text-Supervised Semantic Segmentation. - Muyang Yi; Quan Cui; Hao Wu; Cheng Yang; Osamu Yoshie; Hongtao Lu 001 (CVPR, 2023)

DOT: A Distillation-Oriented Trainer. - Borui Zhao; Quan Cui; Renjie Song; Jiajun Liang (ICCV, 2023)

Engineering Vehicle Recognition and Multi-Object Tracking System based on YOLOv5 and DeepSort Algorithm. - Yanbo Wu; Xintao Liang; Quan Cui; Qingyan Wang (VSIP, 2023)

Vision Learners Meet Web Image-Text Pairs. - Bingchen Zhao; Quan Cui; Hao Wu; Osamu Yoshie; Cheng Yang (CoRR, 2023)

Modeling Label Correlations with Latent Context for Multi-label Recognition. - Zhaomin Chen; Quan Cui; Ruoxi Deng; Jie Hu; Guodao Zhang (ECCV (33), 2024)

Vision Learners Meet Web Image-Text Pairs. - Bingchen Zhao; Quan Cui; Hao Wu; Osamu Yoshie; Cheng Yang; Oisin Mac Aodha (Trans. Mach. Learn. Res., 2024)

Towards Gradient Equalization and Feature Diversification for Long-Tailed Multi-Label Image Recognition. - Zhao-Min Chen; Quan Cui; Xiaoqin Zhang 002; Ruoxi Deng; Chaoqun Xia; Shijian Lu (IEEE Trans. Multim., 2025)

Oasis: One Image is All You Need for Multimodal Instruction Data Synthesis. - Letian Zhang; Quan Cui; Bingchen Zhao; Cheng Yang (CoRR, 2025)