108 citations · 359 across the 26 of their papers we have counts for
28 papers
Neural Block-wise Auto-exposure for Single-Shot High Dynamic Range Imaging
Zhengguo Li, Chaobing Zheng, Wei Wang
Block-wise varying exposures are effective for cap- turing appearance of a real-world high dynamic range (HDR) scene via a single-shot. However, brightness order reversal (BOR) art…
Multi-exposure HDR Imaging: A Review of Pixel-level and Feature-level Reconstruction Methods
Qian Tao, Wei Wang, Chaobing Zheng +1
Multi-exposure is an efficient way to capture real-world high-dynamic-range (HDR) scenes. However, HDR imaging suffers from severe ghosting artifacts in dynamic scenes due to the t…
EQ-TAA: Equivariant Traffic Accident Anticipation via Diffusion-Based Accident Video Synthesis
Jianwu Fang, Lei-Lei Li, Zhedong Zheng +4
Traffic Accident Anticipation (TAA) in traffic scenes is a challenging problem for achieving zero fatalities in the future. Current approaches typically treat TAA as a supervised l…
Gating Syn-to-Real Knowledge for Pedestrian Crossing Prediction in Safe Driving
Jie Bai, Jianwu Fang, Yisheng Lv +3
Pedestrian Crossing Prediction (PCP) in driving scenes plays a critical role in ensuring the safe operation of intelligent vehicles. Due to the limited observations of pedestrian c…
MonoDiffusion: Self-Supervised Monocular Depth Estimation Using Diffusion Model
Shuwei Shao, Zhongcai Pei, Weihai Chen +3
Over the past few years, self-supervised monocular depth estimation that does not depend on ground-truth during the training phase has received widespread attention. Most efforts f…
NDDepth: Normal-Distance Assisted Monocular Depth Estimation and Completion
Shuwei Shao, Zhongcai Pei, Weihai Chen +2
Over the past few years, monocular depth estimation and completion have been paid more and more attention from the computer vision community because of their widespread application…
Vision-Based Traffic Accident Detection and Anticipation: A Survey
Jianwu Fang, iahuan Qiao, Jianru Xue +1
Traffic accident detection and anticipation is an obstinate road safety problem and painstaking efforts have been devoted. With the rapid growth of video data, Vision-based Traffic…
Online Unsupervised Video Object Segmentation via Contrastive Motion Clustering
Lin Xi, Weihai Chen, Xingming Wu +2
Online unsupervised video object segmentation (UVOS) uses the previous frames as its input to automatically separate the primary object(s) from a streaming video without using any…
ALIKED: A Lighter Keypoint and Descriptor Extraction Network via Deformable Transformation
Xiaoming Zhao, Xingming Wu, Weihai Chen +3
Image keypoints and descriptors play a crucial role in many visual measurement tasks. In recent years, deep neural networks have been widely used to improve the performance of keyp…
URCDC-Depth: Uncertainty Rectified Cross-Distillation with CutFlip for Monocular Depth Estimation
Shuwei Shao, Zhongcai Pei, Weihai Chen +3
This work aims to estimate a high-quality depth map from a single RGB image. Due to the lack of depth clues, making full use of the long-range correlation and the local information…
Dual-Scale Single Image Dehazing Via Neural Augmentation
Zhengguo Li, Chaobing Zheng, Haiyan Shu +1
Model-based single image dehazing algorithms restore haze-free images with sharp edges and rich details for real-world hazy images at the expense of low PSNR and SSIM values for sy…
Implicit Motion-Compensated Network for Unsupervised Video Object Segmentation
Lin Xi, Weihai Chen, Xingming Wu +2
Unsupervised video object segmentation (UVOS) aims at automatically separating the primary foreground object(s) from the background in a video sequence. Existing UVOS methods eithe…
Adaptive Weighted Guided Image Filtering for Depth Enhancement in Shape-From-Focus
Yuwen Li, Zhengguo Li, Chaobing Zheng +1
Existing shape from focus (SFF) techniques cannot preserve depth edges and fine structural details from a sequence of multi-focus images. Moreover, noise in the sequence of multi-f…
Sparse LiDAR Assisted Self-supervised Stereo Disparity Estimation
Xiaoming Zhao, Weihai Chen, Xingming Wu +2
Deep stereo matching has made significant progress in recent years. However, state-of-the-art methods are based on expensive 4D cost volume, which limits their use in real-world ap…
DSRGAN: Detail Prior-Assisted Perceptual Single Image Super-Resolution via Generative Adversarial Networks
Ziyang Liu, Zhengguo Li, Xingming Wu +2
The generative adversarial network (GAN) is successfully applied to study the perceptual single image superresolution (SISR). However, the GAN often tends to generate images with h…
Solvable conjugacy class graph of groups
Parthajit Bhowal, Peter J. Cameron, Rajat Kanti Nath +1
In this paper we introduce the graph associated with a group , called the solvable conjugacy class graph (abbreviated as SCC-graph), whose vertices are the nontrivia…
Probabilistic Spatial Distribution Prior Based Attentional Keypoints Matching Network
Xiaoming Zhao, Jingmeng Liu, Xingming Wu +3
Keypoints matching is a pivotal component for many image-relevant applications such as image stitching, visual simultaneous localization and mapping (SLAM), and so on. Both handcra…
FAMINet: Learning Real-time Semi-supervised Video Object Segmentation with Steepest Optimized Optical Flow
Ziyang Liu, Jingmeng Liu, Weihai Chen +2
Semi-supervised video object segmentation (VOS) aims to segment a few moving objects in a video sequence, where these objects are specified by annotation of first frame. The optica…
Deep Joint Demosaicing and High Dynamic Range Imaging within a Single Shot
Yilun Xu, Ziyang Liu, Xingming Wu +3
Spatially varying exposure (SVE) is a promising choice for high-dynamic-range (HDR) imaging (HDRI). The SVE-based HDRI, which is called single-shot HDRI, is an efficient solution t…
Hybrid Saturation Restoration for LDR Images of HDR Scenes
Chaobing Zheng, Zhengguo Li, Shiqian Wu
There are shadow and highlight regions in a low dynamic range (LDR) image which is captured from a high dynamic range (HDR) scene. It is an ill-posed problem to restore the saturat…
Multi-Scale Single Image Dehazing Using Laplacian and Gaussian Pyramids
Zhengguo Li, Haiyan Shu, Chaobing Zheng
Model driven single image dehazing was widely studied on top of different priors due to its extensive applications. Ambiguity between object radiance and haze and noise amplificati…
Model-Based Single Image Deep Dehazing
Zhengguo Li, Chaobing Zheng, Haiyan Shu +1
Model-based single image dehazing algorithms restore images with sharp edges and rich details at the expense of low PSNR values. Data-driven ones restore images with high PSNR valu…
Novel Intensity Mapping Functions: Weighted Histogram Averaging
Yilun Xu, Zhengguo Li, Weihai Chen +1
It is challenging to align the brightness distribution of the images with different exposures due to possible color distortion and loss of details in the brightest and darkest regi…
Robust Alignment of Multi-Exposed Images with Saturated Regions
Jun Jiang, Zhengguo Li, Shoulie Xie +2
It is challenging to align multi-exposed images due to large illumination variations, especially in presence of saturated regions. In this paper, a novel image alignment algorithm…