Robust Fingertip Detection in a Complex Environment. - Guile Wu; Wenxiong Kang (IEEE Trans. Multim., 2016)

Visual tracking utilizing robust complementary learner and adaptive refiner. - Rui Shi; Guile Wu; Wenxiong Kang; Zhiyong Wang 001; David Dagan Feng (Neurocomputing, 2017)

Exploiting superpixel and hybrid hash for kernel-based visual tracking. - Guile Wu; Wenxiong Kang (Pattern Recognit., 2017)

Vision-Based Fingertip Tracking Utilizing Curvature Points Clustering and Hash Model Representation. - Guile Wu; Wenxiong Kang (IEEE Trans. Multim., 2017)

Real-Time Long-Term Tracking With Prediction-Detection-Correction. - Ningxin Liang; Guile Wu; Wenxiong Kang; Zhiyong Wang 001; David Dagan Feng (IEEE Trans. Multim., 2018)

Spatio-Temporal Associative Representation for Video Person Re-Identification. - Guile Wu; Xiatian Zhu; Shaogang Gong (BMVC, 2019)

Person Re-Identification by Ranking Ensemble Representations. - Guile Wu; Xiatian Zhu; Shaogang Gong (ICIP, 2019)

Feature covariance matrix-based dynamic hand gesture recognition. - Linpu Fang; Guile Wu; Wenxiong Kang; Qiuxia Wu; Zhiyong Wang 001; David Dagan Feng (Neural Comput. Appl., 2019)

Tracklet Self-Supervised Learning for Unsupervised Person Re-Identification. - Guile Wu; Xiatian Zhu; Shaogang Gong (AAAI, 2020)

Generalising without Forgetting for Lifelong Person Re-Identification. - Guile Wu; Shaogang Gong (AAAI, 2021)

Decentralised Learning from Independent Multi-Domain Labels for Person Re-Identification. - Guile Wu; Shaogang Gong (AAAI, 2021)

Peer Collaborative Learning for Online Knowledge Distillation. - Guile Wu; Shaogang Gong (AAAI, 2021)

Decentralised Person Re-Identification with Selective Knowledge Aggregation. - Shitong Sun; Guile Wu; Shaogang Gong (BMVC, 2021)

Collaborative Optimization and Aggregation for Decentralized Domain Generalization and Adaptation. - Guile Wu; Shaogang Gong (ICCV, 2021)

Striking a Balance between Stability and Plasticity for Class-Incremental Learning. - Guile Wu; Shaogang Gong; Pan Li (ICCV, 2021)

Semi-Supervised Few-Shot Learning with Pseudo Label Refinement. - Pan Li; Guile Wu; Shaogang Gong; Xu Lan (ICME, 2021)

Learning Unbiased Transferability for Domain Adaptation by Uncertainty Modeling. - Jian Hu 002; Haowen Zhong; Fei Yang; Shaogang Gong; Guile Wu; Junchi Yan (ECCV (31), 2022)

Self-Supervised Consistent Quantization for Fully Unsupervised Image Retrieval. - Guile Wu; Chao Zhang 023; Stephan Liwicki (CoRR, 2022)

Learning hybrid ranking representation for person re-identification. - Guile Wu; Xiatian Zhu; Shaogang Gong (Pattern Recognit., 2022)

Hierarchical Quantization Consistency for Fully Unsupervised Image Retrieval. - Guile Wu; Chao Zhang 023; Stephan Liwicki (BMVC, 2023)

MV-DeepSDF: Implicit Modeling with Multi-Sweep Point Clouds for 3D Vehicle Reconstruction in Autonomous Driving. - Yibo Liu; Kelly Zhu; Guile Wu; Yuan Ren; Bingbing Liu; Yang Liu; Jinjun Shan (ICCV, 2023)

Towards Universal LiDAR-Based 3D Object Detection by Multi-Domain Knowledge Transfer. - Guile Wu; Tongtong Cao; Bingbing Liu; Xingxin Chen; Yuan Ren (ICCV, 2023)

Learning Effective NeRFs and SDFs Representations with 3D Generative Adversarial Networks for 3D Object Generation: Technical Report for ICCV 2023 OmniObject3D Challenge. - Zheyuan Yang; Yibo Liu; Guile Wu; Tongtong Cao; Yuan Ren; Yang Liu; Bingbing Liu (CoRR, 2023)

VQA-Diff: Exploiting VQA and Diffusion for Zero-Shot Image-to-3D Vehicle Asset Generation in Autonomous Driving. - Yibo Liu; Zheyuan Yang; Guile Wu; Yuan Ren; Kejian Lin; Bingbing Liu; Yang Liu; Jinjun Shan (ECCV (66), 2024)

UniGaussian: Driving Scene Reconstruction from Multiple Camera Models via Unified Gaussian Representations. - Yuan Ren; Guile Wu; Runhao Li; Zheyuan Yang; Yibo Liu; Xingxin Chen; Tongtong Cao; Bingbing Liu (CoRR, 2024)

Federated zero-shot learning with mid-level semantic knowledge transfer. - Shitong Sun; Chenyang Si; Guile Wu; Shaogang Gong (Pattern Recognit., 2024)

ArmGS: Composite Gaussian Appearance Refinement for Modeling Dynamic Urban Environments. - Guile Wu; Dongfeng Bai; Bingbing Liu (CoRR, 2025)

HIPPo: Harnessing Image-to-3D Priors for Model-Free Zero-Shot 6D Pose Estimation. - Yibo Liu; Zhaodong Jiang; Binbin Xu 001; Guile Wu; Yuan Ren; Tongtong Cao; Bingbing Liu; Rui Heng Yang; Amir Rasouli; Jinjun Shan (IEEE Robotics Autom. Lett., 2025)