Jia-Xing Zhong

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 28

Top Topics

Weakly Supervised

Temporal Context

Anomaly Detection

Top Venues

Publications

Qian Xie, Ta Ying Cheng, Jia-Xing Zhong, Kaichen Zhou, Andrew Markham, Niki Trigoni
Beyond Fusion: Modality Hallucination-based Multispectral Fusion for Pedestrian Detection. WACV (2024)
Yuhang He, Shitong Xu, Jia-Xing Zhong, Sangyun Shin, Niki Trigoni, Andrew Markham
SPEAR: Receiver-to-Receiver Acoustic Neural Warping Field. CoRR (2024)
Kirill Paramonov, Jia-Xing Zhong, Umberto Michieli, Jijoong Moon, Mete Ozay
Swiss DINO: Efficient and Versatile Vision Framework for On-device Personal Object Search. CoRR (2024)
Kai Lu, Jia-Xing Zhong, Bo Yang, Bing Wang, Andrew Markham
Learning to Catch Reactive Objects with a Behavior Predictor. ICRA (2024)
Kaichen Zhou, Jia-Xing Zhong, Jia-Wang Bian, Qian Xie, Jian-Qing Zheng, Niki Trigoni, Andrew Markham
MGDepth: Motion-Guided Cost Volume For Self-Supervised Monocular Depth In Dynamic Scenarios. CoRR (2023)
Kaichen Zhou, Jia-Xing Zhong, Sangyun Shin, Kai Lu, Yiyuan Yang, Andrew Markham, Niki Trigoni
DynPoint: Dynamic Neural Point For View Synthesis. CoRR (2023)
Jia-Xing Zhong, Ta Ying Cheng, Yuhang He, Kai Lu, Kaichen Zhou, Andrew Markham, Niki Trigoni
Multi-body SE(3) Equivariance for Unsupervised Rigid Segmentation and Motion Estimation. CoRR (2023)
Kaichen Zhou, Jia-Xing Zhong, Sangyun Shin, Kai Lu, Yiyuan Yang, Andrew Markham, Niki Trigoni
DynPoint: Dynamic Neural Point For View Synthesis. NeurIPS (2023)
Jia-Xing Zhong, Ta Ying Cheng, Yuhang He, Kai Lu, Kaichen Zhou, Andrew Markham, Niki Trigoni
Multi-body SE(3) Equivariance for Unsupervised Rigid Segmentation and Motion Estimation. NeurIPS (2023)
Jia-Xing Zhong, Kaichen Zhou, Qingyong Hu, Bing Wang, Niki Trigoni, Andrew Markham
No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-level Space-time Surfaces. CoRR (2022)
Jia-Xing Zhong, Kaichen Zhou, Qingyong Hu, Bing Wang, Niki Trigoni, Andrew Markham
No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-level Space-time Surfaces. CVPR (2022)
Nannan Li, Jia-Xing Zhong, Xiujun Shu, Huiwen Guo
Weakly-supervised anomaly detection in video surveillance via graph convolutional label noise cleaning. Neurocomputing 481 (2022)
Xiujun Shu, Ge Li, Longhui Wei, Jia-Xing Zhong, Xianghao Zang, Shiliang Zhang, Yaowei Wang, Yongsheng Liang, Qi Tian
Diverse part attentive network for video-based person re-identification. Pattern Recognit. Lett. 149 (2021)
Jia-Xing Zhong, Hongbo Zhang
Uncertainty-aware INVASE: Enhanced Breast Cancer Diagnosis Feature Selection. CoRR (2021)
Munan Xu, Jia-Xing Zhong, Yurui Ren, Shan Liu, Ge Li
Context-aware Attention Network for Predicting Image Aesthetic Subjectivity. ACM Multimedia (2020)
Wei-Hong Lin, Jia-Xing Zhong, Shan Liu, Thomas H. Li, Ge Li
ROIMIX: Proposal-Fusion Among Multiple Images for Underwater Object Detection. ICASSP (2020)
Wei-Hong Lin, Jia-Xing Zhong, Shan Liu, Thomas H. Li, Ge Li
RoIMix: Proposal-Fusion among Multiple Images for Underwater Object Detection. CoRR (2019)
Zhangheng Li, Jia-Xing Zhong, Jingjia Huang, Tao Zhang, Thomas H. Li, Ge Li
ARMIN: Towards a More Efficient and Light-weight Recurrent Memory Network. CoRR (2019)
Zhangheng Li, Jia-Xing Zhong, Jingjia Huang, Tao Zhang, Thomas H. Li, Ge Li
ARMIN: Towards a More Efficient and Light-weight Recurrent Memory Network. IJCAI (2019)
Junyan Wu, Jia-Xing Zhong, Eric Z. Chen, Jingwei Zhang, Jay J. Ye, Limin Yu
Weakly- and Semi-supervised Graph CNN for Identifying Basal Cell Carcinoma on Pathological Images. GLMI@MICCAI (2019)
Jia-Xing Zhong, Nannan Li, Weijie Kong, Shan Liu, Thomas H. Li, Ge Li
Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection. CoRR (2019)
Jia-Xing Zhong, Nannan Li, Weijie Kong, Shan Liu, Thomas H. Li, Ge Li
Graph Convolutional Label Noise Cleaner: Train a Plug-And-Play Action Classifier for Anomaly Detection. CVPR (2019)
Jingjia Huang, Nannan Li, Jia-Xing Zhong, Thomas H. Li, Ge Li
Online Action Tube Detection via Resolving the Spatio-temporal Context Pattern. ACM Multimedia (2018)
Jia-Xing Zhong, Nannan Li, Weijie Kong, Tao Zhang, Thomas H. Li, Ge Li
Step-by-step Erasion, One-by-one Collection: A Weakly Supervised Temporal Action Detector. ACM Multimedia (2018)
Kai Lin, Ge Li, Yiwei Zhang, Jia-Xing Zhong
A New Accurate Image Denoising Method Based on Sparse Coding Coefficients. MMM (2) (2018)
Tao Zhang, Nannan Li, Jingjia Huang, Jia-Xing Zhong, Ge Li
An Active Action Proposal Method Based on Reinforcement Learning. ICIP (2018)
Jia-Xing Zhong, Nannan Li, Weijie Kong, Tao Zhang, Thomas H. Li, Ge Li
Step-by-step Erasion, One-by-one Collection: A Weakly Supervised Temporal Action Detector. CoRR (2018)
Jia-Xing Zhong, Ge Li, Nannan Li
Deep Metric Learning with False Positive Probability - Trade Off Hard Levels in a Weighted Way. ICONIP (3) (2017)