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2020 – today
- 2024
[c15]Kai Lu, Jia-Xing Zhong, Bo Yang, Bing Wang, Andrew Markham:
Learning to Catch Reactive Objects with a Behavior Predictor. ICRA 2024: 9205-9211- [c14]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: 644-653 - [i11]Yuhang He, Shitong Xu, Jia-Xing Zhong, Sangyun Shin, Niki Trigoni, Andrew Markham:
SPEAR: Receiver-to-Receiver Acoustic Neural Warping Field. CoRR abs/2406.11006 (2024) - [i10]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 abs/2407.07541 (2024) - 2023
- [c13]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 - [c12]Kaichen Zhou, Jia-Xing Zhong, Sangyun Shin, Kai Lu, Yiyuan Yang, Andrew Markham, Niki Trigoni:
DynPoint: Dynamic Neural Point For View Synthesis. NeurIPS 2023 - [i9]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 abs/2306.05584 (2023) - [i8]Kaichen Zhou, Jia-Xing Zhong, Sangyun Shin
, Kai Lu, Yiyuan Yang, Andrew Markham, Niki Trigoni:
DynPoint: Dynamic Neural Point For View Synthesis. CoRR abs/2310.18999 (2023) - [i7]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 abs/2312.15268 (2023) - 2022
- [j2]Nannan Li, Jia-Xing Zhong, Xiujun Shu, Huiwen Guo:
Weakly-supervised anomaly detection in video surveillance via graph convolutional label noise cleaning. Neurocomputing 481: 154-167 (2022) - [c11]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: 8500-8510 - [i6]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 abs/2203.11113 (2022) - 2021
- [j1]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: 17-23 (2021) - [i5]Jia-Xing Zhong, Hongbo Zhang:
Uncertainty-aware INVASE: Enhanced Breast Cancer Diagnosis Feature Selection. CoRR abs/2105.02693 (2021) - 2020
- [c10]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: 2588-2592 - [c9]Munan Xu, Jia-Xing Zhong, Yurui Ren, Shan Liu, Ge Li:
Context-aware Attention Network for Predicting Image Aesthetic Subjectivity. ACM Multimedia 2020: 798-806
2010 – 2019
- 2019
- [c8]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: 1237-1246 - [c7]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: 2944-2951 - [c6]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: 112-119 - [i4]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 abs/1903.07256 (2019) - [i3]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 abs/1906.12087 (2019) - [i2]Wei-Hong Lin, Jia-Xing Zhong, Shan Liu, Thomas H. Li, Ge Li:
RoIMix: Proposal-Fusion among Multiple Images for Underwater Object Detection. CoRR abs/1911.03029 (2019) - 2018
- [c5]Tao Zhang, Nannan Li, Jingjia Huang, Jia-Xing Zhong, Ge Li:
An Active Action Proposal Method Based on Reinforcement Learning. ICIP 2018: 4053-4057 - [c4]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: 35-44 - [c3]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: 993-1001 - [c2]Kai Lin, Ge Li, Yiwei Zhang, Jia-Xing Zhong:
A New Accurate Image Denoising Method Based on Sparse Coding Coefficients. MMM (2) 2018: 3-13 - [i1]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 abs/1807.02929 (2018) - 2017
- [c1]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: 653-664
Coauthor Index
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last updated on 2024-08-21 21:32 CEST by the dblp team
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