Jia-Xing Zhong

36 papers A* 10A 2B 1Misc 1Journal 18Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Collaboratively "Copy & Paste" 2D-3D Features for Complex Video-to-Video Motion Editing. AAAI Jia-Xing Zhong, Shijie Zhao, Junlin Li, Li Zhang
2026	J	`jnl`	WildDepth: A Multimodal Dataset for 3D Wildlife Perception and Depth Estimation. CoRR Muhammad Aamir, Naoya Muramatsu, Sangyun Shin, Matthew Wijers, Jia-Xing Zhong, Xinyu Hou, Amir Patel, Andrew Loveridge, Andrew Markham
2025	J	`jnl`	Data Factory with Minimal Human Effort Using VLMs. CoRR Jiaojiao Ye, Jia-Xing Zhong, Qian Xie, Yuzhou Zhou, Niki Trigoni, Andrew Markham
2025	—	`conf`	Generative AI for Cel-Animation: A Survey. ICCVW Yunlong Tang, Junjia Guo, Pinxin Liu, Zhiyuan Wang, Hang Hua, Jia-Xing Zhong, Yunzhong Xiao, Chao Huang, Luchuan Song, Susan Liang, Yizhi Song, Liu He, Jing Bi, Mingqian Feng, Xinyang Li, Zeliang Zhang, Chenliang Xu
2025	J	`jnl`	Generative AI for Cel-Animation: A Survey. CoRR Yunlong Tang, Junjia Guo, Pinxin Liu, Zhiyuan Wang, Hang Hua, Jia-Xing Zhong, Yunzhong Xiao, Chao Huang, Luchuan Song, Susan Liang, Yizhi Song, Liu He, Jing Bi, Mingqian Feng, Xinyang Li, Zeliang Zhang, Chenliang Xu
2025	J	`jnl`	Manydepth2: Motion-Aware Self-Supervised Monocular Depth Estimation in Dynamic Scenes. IEEE Robotics Autom. Lett. Kaichen Zhou, Jia-Wang Bian, Jian-Qing Zheng, Jia-Xing Zhong, Qian Xie, Niki Trigoni, Andrew Markham
2025	J	`jnl`	Video-LMM Post-Training: A Deep Dive into Video Reasoning with Large Multimodal Models. CoRR Yolo Yunlong Tang, Jing Bi, Pinxin Liu, Zhenyu Pan, Zhangyun Tan, Qianxiang Shen, Jiani Liu, Hang Hua, Junjia Guo, Yunzhong Xiao, Chao Huang, Zhiyuan Wang, Susan Liang, Xinyi Liu, Yizhi Song, Junhua Huang, Jia-Xing Zhong, Bozheng Li, Daiqing Qi, Ziyun Zeng, Ali Vosoughi, Luchuan Song, Zeliang Zhang, Daiki Shimada, Han Liu, Jiebo Luo, Chenliang Xu
2024	A	`conf`	Beyond Fusion: Modality Hallucination-based Multispectral Fusion for Pedestrian Detection. WACV Qian Xie, Ta Ying Cheng, Jia-Xing Zhong, Kaichen Zhou, Andrew Markham, Niki Trigoni
2024	A*	`conf`	Learning to Catch Reactive Objects with a Behavior Predictor. ICRA Kai Lu, Jia-Xing Zhong, Bo Yang, Bing Wang, Andrew Markham
2024	J	`jnl`	SPEAR: Receiver-to-Receiver Acoustic Neural Warping Field. CoRR Yuhang He, Shitong Xu, Jia-Xing Zhong, Sangyun Shin, Niki Trigoni, Andrew Markham
2024	A	`conf`	Swiss DINO: Efficient and Versatile Vision Framework for On-device Personal Object Search. IROS Kirill Paramonov, Jia-Xing Zhong, Umberto Michieli, Jijoong Moon, Mete Ozay
2024	J	`jnl`	Swiss DINO: Efficient and Versatile Vision Framework for On-device Personal Object Search. CoRR Kirill Paramonov, Jia-Xing Zhong, Umberto Michieli, Jijoong Moon, Mete Ozay
2023	A*	`conf`	DynPoint: Dynamic Neural Point For View Synthesis. NeurIPS Kaichen Zhou, Jia-Xing Zhong, Sangyun Shin, Kai Lu, Yiyuan Yang, Andrew Markham, Niki Trigoni
2023	J	`jnl`	DynPoint: Dynamic Neural Point For View Synthesis. CoRR Kaichen Zhou, Jia-Xing Zhong, Sangyun Shin, Kai Lu, Yiyuan Yang, Andrew Markham, Niki Trigoni
2023	J	`jnl`	MGDepth: Motion-Guided Cost Volume For Self-Supervised Monocular Depth In Dynamic Scenarios. CoRR Kaichen Zhou, Jia-Xing Zhong, Jia-Wang Bian, Qian Xie, Jian-Qing Zheng, Niki Trigoni, Andrew Markham
2023	A*	`conf`	Multi-body SE(3) Equivariance for Unsupervised Rigid Segmentation and Motion Estimation. NeurIPS Jia-Xing Zhong, Ta Ying Cheng, Yuhang He, Kai Lu, Kaichen Zhou, Andrew Markham, Niki Trigoni
2023	J	`jnl`	Multi-body SE(3) Equivariance for Unsupervised Rigid Segmentation and Motion Estimation. CoRR Jia-Xing Zhong, Ta Ying Cheng, Yuhang He, Kai Lu, Kaichen Zhou, Andrew Markham, Niki Trigoni
2022	A*	`conf`	No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-level Space-time Surfaces. CVPR Jia-Xing Zhong, Kaichen Zhou, Qingyong Hu, Bing Wang, Niki Trigoni, Andrew Markham
2022	J	`jnl`	No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-level Space-time Surfaces. CoRR Jia-Xing Zhong, Kaichen Zhou, Qingyong Hu, Bing Wang, Niki Trigoni, Andrew Markham
2022	J	`jnl`	Weakly-supervised anomaly detection in video surveillance via graph convolutional label noise cleaning. Neurocomputing Nannan Li, Jia-Xing Zhong, Xiujun Shu, Huiwen Guo
2021	J	`jnl`	Diverse part attentive network for video-based person re-identification. Pattern Recognit. Lett. Xiujun Shu, Ge Li, Longhui Wei, Jia-Xing Zhong, Xianghao Zang, Shiliang Zhang, Yaowei Wang, Yongsheng Liang, Qi Tian
2021	J	`jnl`	Uncertainty-aware INVASE: Enhanced Breast Cancer Diagnosis Feature Selection. CoRR Jia-Xing Zhong, Hongbo Zhang
2020	A*	`conf`	Context-aware Attention Network for Predicting Image Aesthetic Subjectivity. ACM Multimedia Munan Xu, Jia-Xing Zhong, Yurui Ren, Shan Liu, Ge Li
2020	Misc	`conf`	ROIMIX: Proposal-Fusion Among Multiple Images for Underwater Object Detection. ICASSP Wei-Hong Lin, Jia-Xing Zhong, Shan Liu, Thomas H. Li, Ge Li
2019	A*	`conf`	ARMIN: Towards a More Efficient and Light-weight Recurrent Memory Network. IJCAI Zhangheng Li, Jia-Xing Zhong, Jingjia Huang, Tao Zhang, Thomas H. Li, Ge Li
2019	J	`jnl`	ARMIN: Towards a More Efficient and Light-weight Recurrent Memory Network. CoRR Zhangheng Li, Jia-Xing Zhong, Jingjia Huang, Tao Zhang, Thomas H. Li, Ge Li
2019	A*	`conf`	Graph Convolutional Label Noise Cleaner: Train a Plug-And-Play Action Classifier for Anomaly Detection. CVPR Jia-Xing Zhong, Nannan Li, Weijie Kong, Shan Liu, Thomas H. Li, Ge Li
2019	J	`jnl`	Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection. CoRR Jia-Xing Zhong, Nannan Li, Weijie Kong, Shan Liu, Thomas H. Li, Ge Li
2019	J	`jnl`	RoIMix: Proposal-Fusion among Multiple Images for Underwater Object Detection. CoRR Wei-Hong Lin, Jia-Xing Zhong, Shan Liu, Thomas H. Li, Ge Li
2019	—	`conf`	Weakly- and Semi-supervised Graph CNN for Identifying Basal Cell Carcinoma on Pathological Images. GLMI@MICCAI Junyan Wu, Jia-Xing Zhong, Eric Z. Chen, Jingwei Zhang, Jay J. Ye, Limin Yu
2018	—	`conf`	A New Accurate Image Denoising Method Based on Sparse Coding Coefficients. MMM (2) Kai Lin, Ge Li, Yiwei Zhang, Jia-Xing Zhong
2018	B	`conf`	An Active Action Proposal Method Based on Reinforcement Learning. ICIP Tao Zhang, Nannan Li, Jingjia Huang, Jia-Xing Zhong, Ge Li
2018	A*	`conf`	Online Action Tube Detection via Resolving the Spatio-temporal Context Pattern. ACM Multimedia Jingjia Huang, Nannan Li, Jia-Xing Zhong, Thomas H. Li, Ge Li
2018	A*	`conf`	Step-by-step Erasion, One-by-one Collection: A Weakly Supervised Temporal Action Detector. ACM Multimedia Jia-Xing Zhong, Nannan Li, Weijie Kong, Tao Zhang, Thomas H. Li, Ge Li
2018	J	`jnl`	Step-by-step Erasion, One-by-one Collection: A Weakly Supervised Temporal Action Detector. CoRR Jia-Xing Zhong, Nannan Li, Weijie Kong, Tao Zhang, Thomas H. Li, Ge Li
2017	—	`conf`	Deep Metric Learning with False Positive Probability - Trade Off Hard Levels in a Weighted Way. ICONIP (3) Jia-Xing Zhong, Ge Li, Nannan Li