Deep Metric Learning with False Positive Probability - Trade Off Hard Levels in a Weighted Way. - Jia-Xing Zhong; Ge Li 002; Nannan Li 001 (ICONIP (3), 2017)

An Active Action Proposal Method Based on Reinforcement Learning. - Tao Zhang 069; Nannan Li 001; Jingjia Huang; Jia-Xing Zhong; Ge Li 002 (ICIP, 2018)

Online Action Tube Detection via Resolving the Spatio-temporal Context Pattern. - Jingjia Huang; Nannan Li 001; Jia-Xing Zhong; Thomas H. Li; Ge Li 002 (ACM Multimedia, 2018)

Step-by-step Erasion, One-by-one Collection: A Weakly Supervised Temporal Action Detector. - Jia-Xing Zhong; Nannan Li 001; Weijie Kong; Tao Zhang 069; Thomas H. Li; Ge Li 002 (ACM Multimedia, 2018)

A New Accurate Image Denoising Method Based on Sparse Coding Coefficients. - Kai Lin; Ge Li 002; Yiwei Zhang; Jia-Xing Zhong (MMM (2), 2018)

Graph Convolutional Label Noise Cleaner: Train a Plug-And-Play Action Classifier for Anomaly Detection. - Jia-Xing Zhong; Nannan Li 001; Weijie Kong; Shan Liu 001; Thomas H. Li; Ge Li 002 (CVPR, 2019)

ARMIN: Towards a More Efficient and Light-weight Recurrent Memory Network. - Zhangheng Li; Jia-Xing Zhong; Jingjia Huang; Tao Zhang 069; Thomas H. Li; Ge Li 002 (IJCAI, 2019)

Weakly- and Semi-supervised Graph CNN for Identifying Basal Cell Carcinoma on Pathological Images. - Junyan Wu; Jia-Xing Zhong; Eric Z. Chen; Jingwei Zhang; Jay J. Ye; Limin Yu (GLMI@MICCAI, 2019)

ROIMIX: Proposal-Fusion Among Multiple Images for Underwater Object Detection. - Wei-Hong Lin; Jia-Xing Zhong; Shan Liu 001; Thomas H. Li; Ge Li 002 (ICASSP, 2020)

Context-aware Attention Network for Predicting Image Aesthetic Subjectivity. - Munan Xu; Jia-Xing Zhong; Yurui Ren; Shan Liu 001; Ge Li 002 (ACM Multimedia, 2020)

Uncertainty-aware INVASE: Enhanced Breast Cancer Diagnosis Feature Selection. - Jia-Xing Zhong; Hongbo Zhang 003 (CoRR, 2021)

Diverse part attentive network for video-based person re-identification. - Xiujun Shu; Ge Li 002; Longhui Wei; Jia-Xing Zhong; Xianghao Zang; Shiliang Zhang; Yaowei Wang 001; Yongsheng Liang 001; Qi Tian 001 (Pattern Recognit. Lett., 2021)

No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-level Space-time Surfaces. - Jia-Xing Zhong; Kaichen Zhou; Qingyong Hu; Bing Wang 013; Niki Trigoni; Andrew Markham (CVPR, 2022)

Weakly-supervised anomaly detection in video surveillance via graph convolutional label noise cleaning. - Nannan Li 001; Jia-Xing Zhong; Xiujun Shu; Huiwen Guo (Neurocomputing, 2022)

Multi-body SE(3) Equivariance for Unsupervised Rigid Segmentation and Motion Estimation. - Jia-Xing Zhong; Ta Ying Cheng; Yuhang He; Kai Lu 003; Kaichen Zhou; Andrew Markham; Niki Trigoni (NeurIPS, 2023)

DynPoint: Dynamic Neural Point For View Synthesis. - Kaichen Zhou; Jia-Xing Zhong; Sangyun Shin; Kai Lu 003; Yiyuan Yang; Andrew Markham; Niki Trigoni (NeurIPS, 2023)

MGDepth: Motion-Guided Cost Volume For Self-Supervised Monocular Depth In Dynamic Scenarios. - Kaichen Zhou; Jia-Xing Zhong; Jia-Wang Bian; Qian Xie 001; Jian-Qing Zheng; Niki Trigoni; Andrew Markham (CoRR, 2023)

Learning to Catch Reactive Objects with a Behavior Predictor. - Kai Lu 003; Jia-Xing Zhong; Bo Yang 027; Bing Wang 013; Andrew Markham (ICRA, 2024)

Swiss DINO: Efficient and Versatile Vision Framework for On-device Personal Object Search. - Kirill Paramonov; Jia-Xing Zhong; Umberto Michieli; Jijoong Moon; Mete Ozay (IROS, 2024)

Beyond Fusion: Modality Hallucination-based Multispectral Fusion for Pedestrian Detection. - Qian Xie 001; Ta Ying Cheng; Jia-Xing Zhong; Kaichen Zhou; Andrew Markham; Niki Trigoni (WACV, 2024)

SPEAR: Receiver-to-Receiver Acoustic Neural Warping Field. - Yuhang He; Shitong Xu; Jia-Xing Zhong; Sangyun Shin; Niki Trigoni; Andrew Markham (CoRR, 2024)

Generative AI for Cel-Animation: A Survey. - Yunlong Tang 002; Junjia Guo; Pinxin Liu; Zhiyuan Wang; Hang Hua; Jia-Xing Zhong; Yunzhong Xiao; Chao Huang 008; Luchuan Song; Susan Liang; Yizhi Song; Liu He; et al. (CoRR, 2025)

Manydepth2: Motion-Aware Self-Supervised Monocular Depth Estimation in Dynamic Scenes. - Kaichen Zhou; Jia-Wang Bian; Jian-Qing Zheng; Jia-Xing Zhong; Qian Xie 001; Niki Trigoni; Andrew Markham (IEEE Robotics Autom. Lett., 2025)