Search Results for author: Zhengguo Li

Found 33 papers, 10 papers with code

Large Language Models as Automated Aligners for benchmarking Vision-Language Models

no code implementations24 Nov 2023 Yuanfeng Ji, Chongjian Ge, Weikai Kong, Enze Xie, Zhengying Liu, Zhengguo Li, Ping Luo

In this work, we address the limitations via Auto-Bench, which delves into exploring LLMs as proficient aligners, measuring the alignment between VLMs and human intelligence and value through automatic data curation and assessment.

Benchmarking World Knowledge

MonoDiffusion: Self-Supervised Monocular Depth Estimation Using Diffusion Model

1 code implementation13 Nov 2023 Shuwei Shao, Zhongcai Pei, Weihai Chen, Dingchi Sun, Peter C. Y. Chen, Zhengguo Li

Because the depth ground-truth is unavailable in the training phase, we develop a pseudo ground-truth diffusion process to assist the diffusion in MonoDiffusion.

Denoising Monocular Depth Estimation

IEBins: Iterative Elastic Bins for Monocular Depth Estimation

1 code implementation NeurIPS 2023 Shuwei Shao, Zhongcai Pei, Xingming Wu, Zhong Liu, Weihai Chen, Zhengguo Li

To alleviate the possible error accumulation during the iterative process, we utilize a novel elastic target bin to replace the original target bin, the width of which is adjusted elastically based on the depth uncertainty.

Monocular Depth Estimation regression

Vision-Based Traffic Accident Detection and Anticipation: A Survey

no code implementations30 Aug 2023 Jianwu Fang, iahuan Qiao, Jianru Xue, Zhengguo Li

We present the first survey on Vision-TAD in the deep learning era and the first-ever survey for Vision-TAA.

Traffic Accident Detection

Online Unsupervised Video Object Segmentation via Contrastive Motion Clustering

2 code implementations21 Jun 2023 Lin Xi, Weihai Chen, Xingming Wu, Zhong Liu, Zhengguo Li

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 further manual annotation.

Clustering Contrastive Learning +6

Dual-Scale Single Image Dehazing Via Neural Augmentation

no code implementations13 Sep 2022 Zhengguo Li, Chaobing Zheng, Haiyan Shu, Shiqian Wu

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 synthetic hazy images.

Image Dehazing Single Image Dehazing +1

SMUDLP: Self-Teaching Multi-Frame Unsupervised Endoscopic Depth Estimation with Learnable Patchmatch

no code implementations30 May 2022 Shuwei Shao, Zhongcai Pei, Weihai Chen, Xingming Wu, Zhong Liu, Zhengguo Li

Unsupervised monocular trained depth estimation models make use of adjacent frames as a supervisory signal during the training phase.

Depth Estimation

Implicit Motion-Compensated Network for Unsupervised Video Object Segmentation

1 code implementation6 Apr 2022 Lin Xi, Weihai Chen, Xingming Wu, Zhong Liu, Zhengguo Li

Unsupervised video object segmentation (UVOS) aims at automatically separating the primary foreground object(s) from the background in a video sequence.

Motion Compensation Semantic Segmentation +2

Going Deeper into Recognizing Actions in Dark Environments: A Comprehensive Benchmark Study

no code implementations19 Feb 2022 Yuecong Xu, Jianfei Yang, Haozhi Cao, Jianxiong Yin, Zhenghua Chen, XiaoLi Li, Zhengguo Li, Qianwen Xu

While action recognition (AR) has gained large improvements with the introduction of large-scale video datasets and the development of deep neural networks, AR models robust to challenging environments in real-world scenarios are still under-explored.

Action Recognition Autonomous Driving

Adaptive Weighted Guided Image Filtering for Depth Enhancement in Shape-From-Focus

no code implementations18 Jan 2022 Yuwen Li, Zhengguo Li, Chaobing Zheng, Shiqian Wu

In order to preserve the edges accurately in the refined depth map, the guidance image is constructed from the multi-focus image sequence, and the coefficient of the AWGIF is utilized to suppress the noise while enhancing the fine depth details.

Spectral Reconstruction

DSRGAN: Detail Prior-Assisted Perceptual Single Image Super-Resolution via Generative Adversarial Networks

no code implementations25 Dec 2021 Ziyang Liu, Zhengguo Li, Xingming Wu, Zhong Liu, Weihai Chen

The proposed method, named DSRGAN, includes a well designed detail extraction algorithm to capture the most important high frequency information from images.

Generative Adversarial Network Image Super-Resolution

ALIKE: Accurate and Lightweight Keypoint Detection and Descriptor Extraction

2 code implementations6 Dec 2021 Xiaoming Zhao, Xingming Wu, Jinyu Miao, Weihai Chen, Peter C. Y. Chen, Zhengguo Li

The reprojection loss is then proposed to directly optimize these sub-pixel keypoints, and the dispersity peak loss is presented for accurate keypoints regularization.

Homography Estimation Keypoint Detection +1

Model-Based Single Image Deep Dehazing

no code implementations22 Nov 2021 Zhengguo Li, Chaobing Zheng, Haiyan Shu, Shiqian Wu

Model-based single image dehazing algorithms restore images with sharp edges and rich details at the expense of low PSNR values.

Image Dehazing Single Image Dehazing

FAMINet: Learning Real-time Semi-supervised Video Object Segmentation with Steepest Optimized Optical Flow

1 code implementation20 Nov 2021 Ziyang Liu, Jingmeng Liu, Weihai Chen, Xingming Wu, Zhengguo Li

A FAMINet, which consists of a feature extraction network (F), an appearance network (A), a motion network (M), and an integration network (I), is proposed in this study to address the abovementioned problem.

Optical Flow Estimation Segmentation +3

Probabilistic Spatial Distribution Prior Based Attentional Keypoints Matching Network

no code implementations17 Nov 2021 Xiaoming Zhao, Jingmeng Liu, Xingming Wu, Weihai Chen, Fanghong Guo, Zhengguo Li

Keypoints matching is a pivotal component for many image-relevant applications such as image stitching, visual simultaneous localization and mapping (SLAM), and so on.

Image Stitching Motion Estimation +1

Deep Joint Demosaicing and High Dynamic Range Imaging within a Single Shot

no code implementations14 Nov 2021 Yilun Xu, Ziyang Liu, Xingming Wu, Weihai Chen, Changyun Wen, Zhengguo Li

For the former challenge, a spatially varying convolution (SVC) is designed to process the Bayer images carried with varying exposures.


Novel Intensity Mapping Functions: Weighted Histogram Averaging

no code implementations14 Nov 2021 Yilun Xu, Zhengguo Li, Weihai Chen, Changyun Wen

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 regions of input images.

Hybrid Saturation Restoration for LDR Images of HDR Scenes

no code implementations11 Nov 2021 Chaobing Zheng, Zhengguo Li, Shiqian Wu

It is an ill-posed problem to restore the saturated regions of the LDR image.

Multi-Scale Single Image Dehazing Using Laplacian and Gaussian Pyramids

no code implementations10 Nov 2021 Zhengguo Li, Haiyan Shu, Chaobing Zheng

Ambiguity between object radiance and haze and noise amplification in sky regions are two inherent problems of model driven single image dehazing.

Image Dehazing Single Image Dehazing

Automatic Vocabulary and Graph Verification for Accurate Loop Closure Detection

no code implementations30 Jul 2021 Haosong Yue, Jinyu Miao, Weihai Chen, Wei Wang, Fanghong Guo, Zhengguo Li

Localizing pre-visited places during long-term simultaneous localization and mapping, i. e. loop closure detection (LCD), is a crucial technique to correct accumulated inconsistencies.

Loop Closure Detection Simultaneous Localization and Mapping

Deep Inertial Odometry with Accurate IMU Preintegration

no code implementations18 Jan 2021 Rooholla Khorrambakht, Chris Xiaoxuan Lu, Hamed Damirchi, Zhenghua Chen, Zhengguo Li

Inertial Measurement Units (IMUs) are interceptive modalities that provide ego-motion measurements independent of the environmental factors.

Single Image Brightening via Multi-Scale Exposure Fusion with Hybrid Learning

no code implementations4 Jul 2020 Chaobing Zheng, Zhengguo Li, Yi Yang, Shiqian Wu

In this paper, a single image brightening algorithm is introduced to brighten such an image.


S&CNet: Monocular Depth Completion for Autonomous Systems and 3D Reconstruction

no code implementations13 Jul 2019 Lei Zhang, Weihai Chen, Chao Hu, Xingming Wu, Zhengguo Li

In this paper, a lightweight yet efficient network (S\&CNet) is proposed to obtain a good trade-off between efficiency and accuracy for the dense depth completion.

3D Reconstruction Autonomous Driving +2

Exposure Interpolation by Combining Model-driven and Data-driven Methods

no code implementations9 May 2019 Chaobing Zheng, Zhengguo Li, Shiqian Wu

A natural question raised here is "Is there any space for conventional methods on these problems?"

High Speed Tracking With A Fourier Domain Kernelized Correlation Filter

no code implementations8 Nov 2018 Mingyang Guan, Zhengguo Li, Renjie He, Changyun Wen

This is achieved due to the attribute of Convolution Theorem that the correlation in spatial domain corresponds to an element-wise product in the Fourier domain, resulting in that the l1-norm optimization problem could be decomposed into multiple sub-optimization spaces in the Fourier domain.

Attribute Vocal Bursts Intensity Prediction

Gradient-Free Learning Based on the Kernel and the Range Space

no code implementations27 Oct 2018 Kar-Ann Toh, Zhiping Lin, Zhengguo Li, Beomseok Oh, Lei Sun

In this article, we show that solving the system of linear equations by manipulating the kernel and the range space is equivalent to solving the problem of least squares error approximation.

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