Jia-Xing Zhong

According to our database, Jia-Xing Zhong authored at least 21 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

CoRR, 2024

SPEAR: Receiver-to-Receiver Acoustic Neural Warping Field.

Yuhang He, Shitong Xu, Jia-Xing Zhong, Sangyun Shin, Niki Trigoni, Andrew Markham

CoRR, 2024

Beyond Fusion: Modality Hallucination-based Multispectral Fusion for Pedestrian Detection.

Qian Xie, Ta Ying Cheng, Jia-Xing Zhong, Kaichen Zhou, Andrew Markham, Niki Trigoni

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Learning to Catch Reactive Objects with a Behavior Predictor.

Kai Lu, Jia-Xing Zhong, Bo Yang, Bing Wang, Andrew Markham

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

MGDepth: Motion-Guided Cost Volume For Self-Supervised Monocular Depth In Dynamic Scenarios.

Kaichen Zhou, Jia-Xing Zhong, Jia-Wang Bian, Qian Xie, Jian-Qing Zheng, Niki Trigoni, Andrew Markham

CoRR, 2023

DynPoint: Dynamic Neural Point For View Synthesis.

Kaichen Zhou, Jia-Xing Zhong, Sangyun Shin, Kai Lu, Yiyuan Yang, Andrew Markham, Niki Trigoni

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-body SE(3) Equivariance for Unsupervised Rigid Segmentation and Motion Estimation.

Jia-Xing Zhong, Ta Ying Cheng, Yuhang He, Kai Lu, Kaichen Zhou, Andrew Markham, Niki Trigoni

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Weakly-supervised anomaly detection in video surveillance via graph convolutional label noise cleaning.

Nannan Li, Jia-Xing Zhong, Xiujun Shu, Huiwen Guo

Neurocomputing, 2022

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, Niki Trigoni, Andrew Markham

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Diverse part attentive network for video-based person re-identification.

Xiujun Shu, Ge Li, Longhui Wei, Jia-Xing Zhong, Xianghao Zang, Shiliang Zhang, Yaowei Wang, Yongsheng Liang, Qi Tian

Pattern Recognit. Lett., 2021

Uncertainty-aware INVASE: Enhanced Breast Cancer Diagnosis Feature Selection.

Jia-Xing Zhong, Hongbo Zhang

CoRR, 2021

2020

Context-aware Attention Network for Predicting Image Aesthetic Subjectivity.

Munan Xu, Jia-Xing Zhong, Yurui Ren, Shan Liu, Ge Li

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

ROIMIX: Proposal-Fusion Among Multiple Images for Underwater Object Detection.

Wei-Hong Lin, Jia-Xing Zhong, Shan Liu, Thomas H. Li, Ge Li

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

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

Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019

ARMIN: Towards a More Efficient and Light-weight Recurrent Memory Network.

Zhangheng Li, Jia-Xing Zhong, Jingjia Huang, Tao Zhang, Thomas H. Li, Ge Li

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Graph Convolutional Label Noise Cleaner: Train a Plug-And-Play Action Classifier for Anomaly Detection.

Jia-Xing Zhong, Nannan Li, Weijie Kong, Shan Liu, Thomas H. Li, Ge Li

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

A New Accurate Image Denoising Method Based on Sparse Coding Coefficients.

Kai Lin, Ge Li, Yiwei Zhang, Jia-Xing Zhong

Proceedings of the MultiMedia Modeling - 24th International Conference, 2018

Step-by-step Erasion, One-by-one Collection: A Weakly Supervised Temporal Action Detector.

Jia-Xing Zhong, Nannan Li, Weijie Kong, Tao Zhang, Thomas H. Li, Ge Li

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Online Action Tube Detection via Resolving the Spatio-temporal Context Pattern.

Jingjia Huang, Nannan Li, Jia-Xing Zhong, Thomas H. Li, Ge Li

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

An Active Action Proposal Method Based on Reinforcement Learning.

Tao Zhang, Nannan Li, Jingjia Huang, Jia-Xing Zhong, Ge Li

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017

Deep Metric Learning with False Positive Probability - Trade Off Hard Levels in a Weighted Way.

Jia-Xing Zhong, Ge Li, Nannan Li

Proceedings of the Neural Information Processing - 24th International Conference, 2017