no code implementations • 23 Dec 2023 • Kaichen Zhou, Jia-Xing Zhong, Jia-Wang Bian, Qian Xie, Jian-Qing Zheng, Niki Trigoni, Andrew Markham
Despite advancements in self-supervised monocular depth estimation, challenges persist in dynamic scenarios due to the dependence on assumptions about a static world.
1 code implementation • NeurIPS 2023 • Kaichen Zhou, Jia-Xing Zhong, Sangyun Shin, Kai Lu, Yiyuan Yang, Andrew Markham, Niki Trigoni
The introduction of neural radiance fields has greatly improved the effectiveness of view synthesis for monocular videos.
1 code implementation • NeurIPS 2023 • Jia-Xing Zhong, Ta-Ying Cheng, Yuhang He, Kai Lu, Kaichen Zhou, Andrew Markham, Niki Trigoni
A truly generalizable approach to rigid segmentation and motion estimation is fundamental to 3D understanding of articulated objects and moving scenes.
1 code implementation • CVPR 2022 • Jia-Xing Zhong, Kaichen Zhou, Qingyong Hu, Bing Wang, Niki Trigoni, Andrew Markham
Scene flow is a powerful tool for capturing the motion field of 3D point clouds.
1 code implementation • 4 May 2021 • Jia-Xing Zhong, Hongbo Zhang
In this paper, we present an uncertainty-aware INVASE to quantify predictive confidence of healthcare problem.
1 code implementation • 8 Nov 2019 • Wei-Hong Lin, Jia-Xing Zhong, Shan Liu, Thomas Li, Ge Li
Generic object detection algorithms have proven their excellent performance in recent years.
1 code implementation • 28 Jun 2019 • Zhangheng Li, Jia-Xing Zhong, Jingjia Huang, Tao Zhang, Thomas Li, Ge Li
In recent years, memory-augmented neural networks(MANNs) have shown promising power to enhance the memory ability of neural networks for sequential processing tasks.
1 code implementation • CVPR 2019 • Jia-Xing Zhong, Nannan Li, Weijie Kong, Shan Liu, Thomas H. Li, Ge Li
Remarkably, we obtain the frame-level AUC score of 82. 12% on UCF-Crime.
Anomaly Detection In Surveillance Videos Multiple Instance Learning +3
no code implementations • 27 Sep 2018 • Zhangheng Li, Jia-Xing Zhong, Jingjia Huang, Tao Zhang, Thomas Li, Ge Li
Processing sequential data with long term dependencies and learn complex transitions are two major challenges in many deep learning applications.
no code implementations • 9 Jul 2018 • Jia-Xing Zhong, Nannan Li, Weijie Kong, Tao Zhang, Thomas H. Li, Ge Li
Weakly supervised temporal action detection is a Herculean task in understanding untrimmed videos, since no supervisory signal except the video-level category label is available on training data.