no code implementations • 25 Jan 2024 • Xuanchao Ma, Yanlin Jiang, Hongyan Liu, Chengxu Zhou, Ke Gu
Recent years have witnessed a broader range of applications of image processing technologies in multiple industrial processes, such as smoke detection, security monitoring, and workpiece inspection.
1 code implementation • 29 Nov 2023 • Ziqiao Peng, Wentao Hu, Yue Shi, Xiangyu Zhu, Xiaomei Zhang, Hao Zhao, Jun He, Hongyan Liu, Zhaoxin Fan
A lifelike talking head requires synchronized coordination of subject identity, lip movements, facial expressions, and head poses.
no code implementations • 16 Oct 2023 • Kaixing Yang, Xukun Zhou, Xulong Tang, Ran Diao, Hongyan Liu, Jun He, Zhaoxin Fan
Dance and music are closely related forms of expression, with mutual retrieval between dance videos and music being a fundamental task in various fields like education, art, and sports.
no code implementations • 15 Sep 2023 • Xukun Zhou, Zhenbo Song, Jun He, Hongyan Liu, Zhaoxin Fan
Scene Graph Generation is a critical enabler of environmental comprehension for autonomous robotic systems.
1 code implementation • 19 Jun 2023 • Ziqiao Peng, Yihao Luo, Yue Shi, Hao Xu, Xiangyu Zhu, Jun He, Hongyan Liu, Zhaoxin Fan
To enhance the visual accuracy of generated lip movement while reducing the dependence on labeled data, we propose a novel framework SelfTalk, by involving self-supervision in a cross-modals network system to learn 3D talking faces.
1 code implementation • 21 May 2023 • Luuk Jacobs, Stefano Mandija, Hongyan Liu, Cornelis A. T. van den Berg, Alessandro Sbrizzi, Matteo Maspero
In this study, we develop a physics-informed deep learning-based method to synthesize multiple brain magnetic resonance imaging (MRI) contrasts from a single five-minute acquisition and investigate its ability to generalize to arbitrary contrasts to accelerate neuroimaging protocols.
2 code implementations • ICCV 2023 • Ziqiao Peng, HaoYu Wu, Zhenbo Song, Hao Xu, Xiangyu Zhu, Jun He, Hongyan Liu, Zhaoxin Fan
Specifically, we introduce the emotion disentangling encoder (EDE) to disentangle the emotion and content in the speech by cross-reconstructed speech signals with different emotion labels.
no code implementations • 28 Feb 2023 • Guoqiang Sun, Yibin Shen, Sijin Zhou, Xiang Chen, Hongyan Liu, Chunming Wu, Chenyi Lei, Xianhui Wei, Fei Fang
In this paper, we propose a cross-domain recommendation method: Self-supervised Interest Transfer Network (SITN), which can effectively transfer invariant knowledge between domains via prototypical contrastive learning.
1 code implementation • 22 Dec 2022 • Zhaoxin Fan, Kaixing Yang, Min Zhang, Zhenbo Song, Hongyan Liu, Jun He
In stage 1, a novel devices detection and tracking scheme is introduced, which accurately locate the height limit devices in the left or right image.
1 code implementation • 30 Nov 2022 • Zhaoxin Fan, Yuqing Pan, Hao Xu, Zhenbo Song, Zhicheng Wang, Kejian Wu, Hongyan Liu, Jun He
These novel elements of FuRPE not only serve to further refine the model but also to reduce potential biases that may arise from inaccuracies in pseudo labels, thereby optimizing the network's training process and enhancing the robustness of the model.
1 code implementation • journal 2022 • Xiangyu Xiong, Yan Ding, Chuanqi Sun, Zhuoneng Zhang, Xiuhong Guan, Tianjing Zhang, Hao Chen, Hongyan Liu, Zhangbo Cheng, Lei Zhao, Xiaohai Ma, Guoxi Xie
Experiments also showed that the proposed framework could achieve an average accuracy of 0. 831, a sensitivity of 0. 938, and an F1-score of 0. 847 in comparison with seven state-of-the-art classification models used by three radiologists with junior, intermediate, and senior experiences, respectively.
no code implementations • 23 Sep 2022 • Zhaoxin Fan, Zhenbo Song, Hongyan Liu, Jun He
Large-scale place recognition is a fundamental but challenging task, which plays an increasingly important role in autonomous driving and robotics.
no code implementations • 17 Sep 2022 • Zhaoxin Fan, Fengxin Li, Hongyan Liu, Jun He, Xiaoyong Du
In this paper, we research the new topic of object effects recommendation in micro-video platforms, which is a challenging but important task for many practical applications such as advertisement insertion.
no code implementations • 20 Apr 2022 • Zhaoxin Fan, Yulin He, Zhicheng Wang, Kejian Wu, Hongyan Liu, Jun He
Real-world sensors often produce incomplete, irregular, and noisy point clouds, making point cloud completion increasingly important.
no code implementations • 4 Apr 2022 • Zhaoxin Fan, Zhenbo Song, Jian Xu, Zhicheng Wang, Kejian Wu, Hongyan Liu, Jun He
Recently, RGBD-based category-level 6D object pose estimation has achieved promising improvement in performance, however, the requirement of depth information prohibits broader applications.
no code implementations • 20 Nov 2021 • Zhaoxin Fan, Zhengbo Song, Jian Xu, Zhicheng Wang, Kejian Wu, Hongyan Liu, Jun He
ACR-Pose consists of a Reconstructor and a Discriminator.
no code implementations • 29 Aug 2021 • Zhaoxin Fan, Zhenbo Song, Wenping Zhang, Hongyan Liu, Jun He, Xiaoyong Du
Third, we apply these kernels to previous point cloud features to generate new features, which is the well-known SO(3) mapping process.
no code implementations • 29 May 2021 • Zhaoxin Fan, Yazhi Zhu, Yulin He, Qi Sun, Hongyan Liu, Jun He
Therefore, this study presents a comprehensive review of recent progress in object pose detection and tracking that belongs to the deep learning technical route.
no code implementations • 1 May 2021 • Zhaoxin Fan, Zhenbo Song, Hongyan Liu, Zhiwu Lu, Jun He, Xiaoyong Du
Point cloud-based large scale place recognition is fundamental for many applications like Simultaneous Localization and Mapping (SLAM).
Ranked #2 on 3D Place Recognition on Oxford RobotCar Dataset