activity
20212024
most citedDynamic Fusion Network for RGBT Tracking

47 citations · 166 across the 13 of their papers we have counts for

collaborators

13 papers

cs.CV2024★ 1 cited

CapHDR2IR: Caption-Driven Transfer from Visible Light to Infrared Domain

Jingchao Peng, Thomas Bashford-Rogers, Zhuang Shao +4

Infrared (IR) imaging offers advantages in several fields due to its unique ability of capturing content in extreme light conditions. However, the demanding hardware requirements o…

cs.CV2024

Luminance Component Analysis for Exposure Correction

Jingchao Peng, Thomas Bashford-Rogers, Jingkun Chen +3

Exposure correction methods aim to adjust the luminance while maintaining other luminance-unrelated information. However, current exposure correction methods have difficulty in ful…

cs.CV2024★ 6 cited

HDRT: A Large-Scale Dataset for Infrared-Guided HDR Imaging

Jingchao Peng, Thomas Bashford-Rogers, Francesco Banterle +2

Capturing images with enough details to solve imaging tasks is a long-standing challenge in imaging, particularly due to the limitations of standard dynamic range (SDR) images whic…

cs.CV2024

ODCR: Orthogonal Decoupling Contrastive Regularization for Unpaired Image Dehazing

Zhongze Wang, Haitao Zhao, Jingchao Peng +2

Unpaired image dehazing (UID) holds significant research importance due to the challenges in acquiring haze/clear image pairs with identical backgrounds. This paper proposes a nove…

cs.CV2023★ 20 cited

DFR-Net: Density Feature Refinement Network for Image Dehazing Utilizing Haze Density Difference

Zhongze Wang, Haitao Zhao, Lujian Yao +2

In image dehazing task, haze density is a key feature and affects the performance of dehazing methods. However, some of the existing methods lack a comparative image to measure den…

cs.CV2023

FoSp: Focus and Separation Network for Early Smoke Segmentation

Lujian Yao, Haitao Zhao, Jingchao Peng +2

Early smoke segmentation (ESS) enables the accurate identification of smoke sources, facilitating the prompt extinguishing of fires and preventing large-scale gas leaks. But ESS po…

cs.CV2023

Object Preserving Siamese Network for Single Object Tracking on Point Clouds

Kaijie Zhao, Haitao Zhao, Zhongze Wang +2

Obviously, the object is the key factor of the 3D single object tracking (SOT) task. However, previous Siamese-based trackers overlook the negative effects brought by randomly drop…

cs.CV2023★ 16 cited

Dynamic Background Reconstruction via MAE for Infrared Small Target Detection

Jingchao Peng, Haitao Zhao, Kaijie Zhao +2

Infrared small target detection (ISTD) under complex backgrounds is a difficult problem, for the differences between targets and backgrounds are not easy to distinguish. Background…

cs.CV2022★ 21 cited

CourtNet for Infrared Small-Target Detection

Jingchao Peng, Haitao Zhao, Kaijie Zhao +2

Infrared small-target detection (ISTD) is an important computer vision task. ISTD aims at separating small targets from complex background clutter. The infrared radiation decays ov…

cs.CV2021★ 6 cited

DRPN: Making CNN Dynamically Handle Scale Variation

Jingchao Peng, Haitao Zhao, Zhengwei Hu +2

Based on our observations of infrared targets, serious scale variation along within sequence frames has high-frequently occurred. In this paper, we propose a dynamic re-parameteriz…

cs.CV2021★ 47 cited

Dynamic Fusion Network for RGBT Tracking

Jingchao Peng, Haitao Zhao, Zhengwei Hu

For both visible and infrared images have their own advantages and disadvantages, RGBT tracking has attracted more and more attention. The key points of RGBT tracking lie in featur…

cs.LG2021★ 5 cited

Second-Order Component Analysis for Fault Detection

Peng Jingchao, Zhao Haitao, Hu Zhengwei

Process monitoring based on neural networks is getting more and more attention. Compared with classical neural networks, high-order neural networks have natural advantages in deali…

cs.CV2021★ 44 cited

Siamese Infrared and Visible Light Fusion Network for RGB-T Tracking

Peng Jingchao, Zhao Haitao, Hu Zhengwei +2

Due to the different photosensitive properties of infrared and visible light, the registered RGB-T image pairs shot in the same scene exhibit quite different characteristics. This…