no code implementations • 2 Dec 2024 • Mengran Li, Junzhou Chen, Guanying Jiang, Fuliang Li, Ronghui Zhang, Siyuan Gong, Zhihan Lv
Accurately estimating time of arrival (ETA) for trucks is crucial for optimizing transportation efficiency in logistics.
no code implementations • 22 Oct 2024 • Ronghui Zhang, Shangyu Yang, Dakang Lyu, Zihan Wang, Junzhou Chen, Yilong Ren, Bolin Gao, Zhihan Lv
Road ponding, a prevalent traffic hazard, poses a serious threat to road safety by causing vehicles to lose control and leading to accidents ranging from minor fender benders to severe collisions.
no code implementations • 24 Oct 2023 • Hao Li, Quanwei Liu, Jianan Liu, Xiling Liu, Yanni Dong, Tao Huang, Zhihan Lv
To this end, we propose an unpaired MRI SR approach that employs contrastive learning to enhance SR performance with limited HR training data.
1 code implementation • 4 Jan 2023 • Yusheng Zhou, Hao Li, Jianan Liu, Zhengmin Kong, Tao Huang, Euijoon Ahn, Zhihan Lv, Jinman Kim, David Dagan Feng
Motion artifacts compromise the quality of magnetic resonance imaging (MRI) and pose challenges to achieving diagnostic outcomes and image-guided therapies.
1 code implementation • Neural Computing and Applications 2021 • Junzhou Chen, Kunkun Jia, Wenquan Chen, Zhihan Lv, Ronghui Zhang
However, in real applications, small traffic-signs recognition is still challenging.
Ranked #1 on
Traffic Sign Recognition
on Tsinghua-Tencent 100K
no code implementations • 19 Apr 2017 • Wenbin Li, Da Chen, Zhihan Lv, Yan Yan, Darren Cosker
It is difficult to recover the motion field from a real-world footage given a mixture of camera shake and other photometric effects.
no code implementations • 26 Mar 2016 • Wenbin Li, Darren Cosker, Zhihan Lv, Matthew Brown
In this paper we present a dense ground truth dataset of nonrigidly deforming real-world scenes.
no code implementations • 18 Aug 2015 • Xiao-Lei Zhang, Yong Han, DongSheng Hao, Zhihan Lv
This is the preprint version of our paper on ICONIP.
no code implementations • 4 Apr 2015 • Zhihan Lv, Liangbing Feng, Shengzhong Feng, Hai-Bo Li
This is the preprint version of our paper on IEEE Virtual Reality Conference 2015.