no code implementations • 7 Mar 2024 • Lei LI, Tianfang Zhang, Xinglin Zhang, Jiaqi Liu, Bingqi Ma, Yan Luo, Tao Chen
Within the domain of medical analysis, extensive research has explored the potential of mutual learning between Masked Autoencoders(MAEs) and multimodal data.
no code implementations • 4 Mar 2024 • Lei LI, Tianfang Zhang, Zhongyu Jiang, Cheng-Yen Yang, Jenq-Neng Hwang, Stefan Oehmcke, Dimitri Pierre Johannes Gominski, Fabian Gieseke, Christian Igel
We leverage the fusion of three-dimensional LiDAR measurements and 2D imagery to facilitate the accurate counting of trees.
no code implementations • 5 Feb 2024 • Yang Sui, Huy Phan, Jinqi Xiao, Tianfang Zhang, Zijie Tang, Cong Shi, Yan Wang, Yingying Chen, Bo Yuan
In this paper, for the first time, we systematically explore the detectability of the poisoned noise input for the backdoored diffusion models, an important performance metric yet little explored in the existing works.
1 code implementation • 2 Nov 2023 • Fengyi Wu, Tianfang Zhang, Lei LI, Yian Huang, Zhenming Peng
Deep learning (DL) networks have achieved remarkable performance in infrared small target detection (ISTD).
no code implementations • 31 Jan 2023 • Lei LI, Tianfang Zhang, Zhongfeng Kang, Wenhan Zhang
This paper designed and implemented football detection system under multiple cameras for the detection and capture of targets in real-time matches.
no code implementations • 15 Jan 2023 • Lei LI, Tianfang Zhang, Stefan Oehmcke, Fabian Gieseke, Christian Igel
Building segmentation from aerial images and 3D laser scanning (LiDAR) is a challenging task due to the diversity of backgrounds, building textures, and image quality.
no code implementations • 18 Dec 2022 • Lei LI, Tianfang Zhang, Zhongfeng Kang, Xikun Jiang
Fine-grained semantic segmentation of a person's face and head, including facial parts and head components, has progressed a great deal in recent years.
no code implementations • 18 Dec 2022 • Tianfang Zhang, Lei LI, Christian Igel, Stefan Oehmcke, Fabian Gieseke, Zhenming Peng
In this work, we propose a DUN called low-rank CS network (LR-CSNet) for natural image CS.
1 code implementation • 22 Aug 2022 • Huy Phan, Cong Shi, Yi Xie, Tianfang Zhang, Zhuohang Li, Tianming Zhao, Jian Liu, Yan Wang, Yingying Chen, Bo Yuan
Recently backdoor attack has become an emerging threat to the security of deep neural network (DNN) models.
2 code implementations • 5 Nov 2021 • Tianfang Zhang, Siying Cao, Tian Pu, Zhenming Peng
Infrared small target detection is an important problem in many fields such as earth observation, military reconnaissance, disaster relief, and has received widespread attention recently.
no code implementations • 15 Oct 2021 • Zhaoyi Xu, Cong Shi, Tianfang Zhang, ShuPing Li, Yichao Yuan, Chung-Tse Michael Wu, Yingying Chen, Athina Petropulu
Based on the designed TDM phased-MIMO radar, we develop a system to automatically localize multiple human subjects and estimate their vital signs.
no code implementations • 24 Feb 2021 • Tianfang Zhang, Rasmus Bokrantz, Jimmy Olsson
We show that the features extracted by the variational autoencoder capture geometric information of substantial relevance to the dose statistic prediction problem and are related to dose statistics in a more regularized fashion than hand-crafted features.
no code implementations • 3 Dec 2020 • Tianfang Zhang, Rasmus Bokrantz, Jimmy Olsson
We present a new nonparametric mixture-of-experts model for multivariate regression problems, inspired by the probabilistic k-nearest neighbors algorithm.