Search Results for author: Yu Guo

Found 42 papers, 15 papers with code

Kernel Correlation-Dissimilarity for Multiple Kernel k-Means Clustering

no code implementations6 Mar 2024 Rina Su, Yu Guo, Caiying Wu, Qiyu Jin, Tieyong Zeng

The main objective of the Multiple Kernel k-Means (MKKM) algorithm is to extract non-linear information and achieve optimal clustering by optimizing base kernel matrices.

Clustering

Fast, nonlocal and neural: a lightweight high quality solution to image denoising

no code implementations6 Mar 2024 Yu Guo, Axel Davy, Gabriele Facciolo, Jean-Michel Morel, Qiyu Jin

In this letter, we propose a solution to both issues by combining a nonlocal algorithm with a lightweight residual CNN.

Image Denoising

AoSRNet: All-in-One Scene Recovery Networks via Multi-knowledge Integration

1 code implementation6 Feb 2024 Yuxu Lu, Dong Yang, Yuan Gao, Ryan Wen Liu, Jun Liu, Yu Guo

Additionally, we suggest a multi-receptive field extraction module (MEM) to attenuate the loss of image texture details caused by GC nonlinear and OLS linear transformations.

Autonomous Vehicles

Dual-Tap Optical-Digital Feedforward Equalization Enabling High-Speed Optical Transmission in IM/DD Systems

no code implementations1 Feb 2024 Yu Guo, Yangbo Wu, Zhao Yang, Lei Xue, Ning Liang, Yang Ren, Zhengrui Tu, Jia Feng, Qunbi Zhuge

Intensity-modulation and direct-detection (IM/DD) transmission is widely adopted for high-speed optical transmission scenarios due to its cost-effectiveness and simplicity.

MvKSR: Multi-view Knowledge-guided Scene Recovery for Hazy and Rainy Degradation

1 code implementation8 Jan 2024 Dong Yang, Wenyu Xu, Yuan Gao, Yuxu Lu, Jingming Zhang, Yu Guo

High-quality imaging is crucial for ensuring safety supervision and intelligent deployment in fields like transportation and industry.

VectorTalker: SVG Talking Face Generation with Progressive Vectorisation

no code implementations18 Dec 2023 Hao Hu, Xuan Wang, Jingxiang Sun, Yanbo Fan, Yu Guo, Caigui Jiang

To address these, we propose a novel scalable vector graphic reconstruction and animation method, dubbed VectorTalker.

Image Reconstruction Talking Face Generation +1

Multi-Task Learning-Enabled Automatic Vessel Draft Reading for Intelligent Maritime Surveillance

no code implementations11 Oct 2023 Jingxiang Qu, Ryan Wen Liu, Chenjie Zhao, Yu Guo, Sendren Sheng-Dong Xu, Fenghua Zhu, Yisheng Lv

The accurate and efficient vessel draft reading (VDR) is an important component of intelligent maritime surveillance, which could be exploited to assist in judging whether the vessel is normally loaded or overloaded.

Depth Estimation Multi-Task Learning

Diffusion Model Based Low-Light Image Enhancement for Space Satellite

no code implementations25 Jun 2023 Yiman Zhu, Lu Wang, Jingyi Yuan, Yu Guo

In this article, we propose a data-driven method for low-light image enhancement (LLIE) of spin targets in space environment based on diffusion model.

Denoising Low-Light Image Enhancement

DADFNet: Dual Attention and Dual Frequency-Guided Dehazing Network for Video-Empowered Intelligent Transportation

no code implementations19 Apr 2023 Yu Guo, Ryan Wen Liu, Jiangtian Nie, Lingjuan Lyu, Zehui Xiong, Jiawen Kang, Han Yu, Dusit Niyato

To eliminate the influences of adverse weather conditions, we propose a dual attention and dual frequency-guided dehazing network (termed DADFNet) for real-time visibility enhancement.

Management object-detection +1

SCANet: Self-Paced Semi-Curricular Attention Network for Non-Homogeneous Image Dehazing

1 code implementation17 Apr 2023 Yu Guo, Yuan Gao, Ryan Wen Liu, Yuxu Lu, Jingxiang Qu, Shengfeng He, Wenqi Ren

The presence of non-homogeneous haze can cause scene blurring, color distortion, low contrast, and other degradations that obscure texture details.

Image Dehazing

Asynchronous Trajectory Matching-Based Multimodal Maritime Data Fusion for Vessel Traffic Surveillance in Inland Waterways

2 code implementations22 Feb 2023 Yu Guo, Ryan Wen Liu, Jingxiang Qu, Yuxu Lu, Fenghua Zhu, Yisheng Lv

To further improve vessel traffic surveillance, it becomes necessary to fuse the AIS and video data to simultaneously capture the visual features, identity and dynamic information for the vessels of interest.

Position Vessel Detection

ESIE-BERT: Enriching Sub-words Information Explicitly with BERT for Joint Intent Classification and SlotFilling

no code implementations27 Nov 2022 Yu Guo, Zhilong Xie, Xingyan Chen, Huangen Chen, Leilei Wang, Huaming Du, Shaopeng Wei, Yu Zhao, Qing Li, Gang Wu

We address the problem by introducing a novel joint method on top of BERT which explicitly models the multiple sub-tokens features after wordpiece tokenization, thereby contributing to the two tasks.

intent-classification Intent Classification +5

SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation

1 code implementation CVPR 2023 Wenxuan Zhang, Xiaodong Cun, Xuan Wang, Yong Zhang, Xi Shen, Yu Guo, Ying Shan, Fei Wang

We present SadTalker, which generates 3D motion coefficients (head pose, expression) of the 3DMM from audio and implicitly modulates a novel 3D-aware face render for talking head generation.

Image Animation Talking Head Generation

Local-to-Global Registration for Bundle-Adjusting Neural Radiance Fields

no code implementations CVPR 2023 Yue Chen, Xingyu Chen, Xuan Wang, Qi Zhang, Yu Guo, Ying Shan, Fei Wang

Neural Radiance Fields (NeRF) have achieved photorealistic novel views synthesis; however, the requirement of accurate camera poses limits its application.

Boosting Video Super Resolution with Patch-Based Temporal Redundancy Optimization

1 code implementation18 Jul 2022 Yuhao Huang, Hang Dong, Jinshan Pan, Chao Zhu, Yu Guo, Ding Liu, Lean Fu, Fei Wang

We develop two simple yet effective plug and play methods to improve the performance of existing local and non-local propagation-based VSR algorithms on widely-used public videos.

Video Super-Resolution

Action Recognition With Motion Diversification and Dynamic Selection

no code implementations TIP 2022 Peiqin Zhuang, Yu Guo, Zhipeng Yu, Luping Zhou, Lei Bai, Ding Liang, Zhiyong Wang, Yali Wang, Wanli Ouyang

To address this issue, we introduce a Motion Diversification and Selection (MoDS) module to generate diversified spatio-temporal motion features and then select the suitable motion representation dynamically for categorizing the input video.

Action Recognition Computational Efficiency

MatchNorm: Learning-based Point Cloud Registration for 6D Object Pose Estimation in the Real World

no code implementations29 Mar 2022 Zheng Dang, Lizhou Wang, Yu Guo, Mathieu Salzmann

Our two contributions are general and can be applied to many existing learning-based 3D object registration frameworks, which we illustrate by implementing them in two of them, DCP and IDAM.

6D Pose Estimation using RGB Object +1

UV Volumes for Real-time Rendering of Editable Free-view Human Performance

1 code implementation CVPR 2023 Yue Chen, Xuan Wang, Xingyu Chen, Qi Zhang, Xiaoyu Li, Yu Guo, Jue Wang, Fei Wang

Neural volume rendering enables photo-realistic renderings of a human performer in free-view, a critical task in immersive VR/AR applications.

Deep Understanding based Multi-Document Machine Reading Comprehension

no code implementations25 Feb 2022 Feiliang Ren, Yongkang Liu, Bochao Li, Zhibo Wang, Yu Guo, Shilei Liu, Huimin Wu, Jiaqi Wang, Chunchao Liu, Bingchao Wang

Most existing multi-document machine reading comprehension models mainly focus on understanding the interactions between the input question and documents, but ignore following two kinds of understandings.

Machine Reading Comprehension TriviaQA

Combining Intra-Risk and Contagion Risk for Enterprise Bankruptcy Prediction Using Graph Neural Networks

1 code implementation1 Feb 2022 Yu Zhao, Shaopeng Wei, Yu Guo, Qing Yang, Xingyan Chen, Qing Li, Fuzhen Zhuang, Ji Liu, Gang Kou

This study for the first time considers both types of risk and their joint effects in bankruptcy prediction.

Contrastive Vision-Language Pre-training with Limited Resources

1 code implementation17 Dec 2021 Quan Cui, Boyan Zhou, Yu Guo, Weidong Yin, Hao Wu, Osamu Yoshie, Yubo Chen

However, these works require a tremendous amount of data and computational resources (e. g., billion-level web data and hundreds of GPUs), which prevent researchers with limited resources from reproduction and further exploration.

Contrastive Learning

Stereo CenterNet based 3D Object Detection for Autonomous Driving

no code implementations20 Mar 2021 Yuguang Shi, Yu Guo, Zhenqiang Mi, Xinjie Li

In this study, we propose a 3D object detection method, Stereo CenterNet (SC), using geometric information in stereo imagery.

3D Object Detection Autonomous Driving +4

MaterialGAN: Reflectance Capture using a Generative SVBRDF Model

no code implementations30 Sep 2020 Yu Guo, Cameron Smith, Miloš Hašan, Kalyan Sunkavalli, Shuang Zhao

We address the problem of reconstructing spatially-varying BRDFs from a small set of image measurements.

Inverse Rendering

Pchatbot: A Large-Scale Dataset for Personalized Chatbot

2 code implementations28 Sep 2020 Hongjin Qian, Xiaohe Li, Hanxun Zhong, Yu Guo, Yueyuan Ma, Yutao Zhu, Zhanliang Liu, Zhicheng Dou, Ji-Rong Wen

This enables the development of personalized dialogue models that directly learn implicit user personality from the user's dialogue history.

Chatbot

Low-Light Maritime Image Enhancement with Regularized Illumination Optimization and Deep Noise Suppression

1 code implementation9 Aug 2020 Yu Guo, Yuxu Lu, Ryan Wen Liu, Meifang Yang, Kwok Tai Chui

To suppress the effect of unwanted noise on imaging performance, a deep learning-based blind denoising framework is further introduced to promote the visual quality of enhanced image.

Denoising Image Enhancement +1

Cross-dataset Training for Class Increasing Object Detection

1 code implementation14 Jan 2020 Yongqiang Yao, Yan Wang, Yu Guo, Jiaojiao Lin, Hongwei Qin, Junjie Yan

Given two or more already labeled datasets that target for different object classes, cross-dataset training aims to detect the union of the different classes, so that we do not have to label all the classes for all the datasets.

Object object-detection +1

A Bayesian Inference Framework for Procedural Material Parameter Estimation

no code implementations2 Dec 2019 Yu Guo, Milos Hasan, Lingqi Yan, Shuang Zhao

Procedural material models have been gaining traction in many applications thanks to their flexibility, compactness, and easy editability.

Bayesian Inference Inverse Rendering

Device-independent verification of Einstein-Podolsky-Rosen steering

no code implementations30 Sep 2019 Yuan-Yuan Zhao, Chao Zhang, Shuming Cheng, Xinhui Li, Yu Guo, Bi-Heng Liu, Huan-Yu Ku, Shin-Liang Chen, Qiaoyan Wen, Yun-Feng Huang, Guo-Yong Xiang, Chuan-Feng Li, Guang-Can Guo

We first establish the DI verification framework, relying on the measurement-device-independent technique and self-testing, and show it is able to verify all EPR-steerable states.

Quantum Physics

AdaCompress: Adaptive Compression for Online Computer Vision Services

1 code implementation17 Sep 2019 Hongshan Li, Yu Guo, Zhi Wang, Shu-Tao Xia, Wenwu Zhu

Then we train the agent in a reinforcement learning way to adapt it for different deep learning cloud services that act as the {\em interactive training environment} and feeding a reward with comprehensive consideration of accuracy and data size.

Multimedia Image and Video Processing

STAC: Science Toolkit Based on Chinese Idiom Knowledge Graph

no code implementations WS 2019 Meiling Wang, Min Xiao, Changliang Li, Yu Guo, Zhixin Zhao, Xiaonan Liu

Chinese idioms (Cheng Yu) have seen five thousand years{'} history and culture of China, meanwhile they contain large number of scientific achievement of ancient China.

Cultural Vocal Bursts Intensity Prediction

MSFD:Multi-Scale Receptive Field Face Detector

no code implementations11 Mar 2019 Qiushan Guo, Yuan Dong, Yu Guo, Hongliang Bai

We simultaneously propose an anchor assignment strategy which can cover faces with a wide range of scales to improve the recall rate of small faces and rotated faces.

Enabling Automatic Certification of Online Auctions

no code implementations3 Apr 2014 Wei Bai, Emmanuel M. Tadjouddine, Yu Guo

This requires agents to have a deeper understanding of auction mechanisms and be able to verify desirable properties of a given mechanism.

Translation

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