b'Bing Zeng'

research

∙ 01/23/2023

GyroFlow+: Gyroscope-Guided Unsupervised Deep Homography and Optical Flow Learning

Existing homography and optical flow methods are erroneous in challengin...

Haipeng Li, et al. ∙

research

∙ 12/05/2022

Minimum Latency Deep Online Video Stabilization

We present a novel camera path optimization framework for the task of on...

Zhuofan Zhang, et al. ∙

research

∙ 08/10/2022

Ghost-free High Dynamic Range Imaging with Context-aware Transformer

High dynamic range (HDR) deghosting algorithms aim to generate ghost-fre...

Zhen Liu, et al. ∙

research

∙ 08/09/2022

OL-DN: Online learning based dual-domain network for HEVC intra frame quality enhancement

Convolution neural network (CNN) based methods offer effective solutions...

Renwei Yang, et al. ∙

research

∙ 06/11/2022

Luminance-Guided Chrominance Image Enhancement for HEVC Intra Coding

In this paper, we propose a luminance-guided chrominance image enhanceme...

Hewei Liu, et al. ∙

research

∙ 01/14/2022

Cross-Block Difference Guided Fast CU Partition for VVC Intra Coding

In this paper, we propose a new fast CU partition algorithm for VVC intr...

Hewei Liu, et al. ∙

research

∙ 06/07/2021

FINet: Dual Branches Feature Interaction for Partial-to-Partial Point Cloud Registration

Data association is important in the point cloud registration. In this w...

Hao Xu, et al. ∙

research

∙ 03/11/2021

Holistic 3D Scene Understanding from a Single Image with Implicit Representation

We present a new pipeline for holistic 3D scene understanding from a sin...

Cheng Zhang, et al. ∙

research

∙ 03/01/2021

OMNet: Learning Overlapping Mask for Partial-to-Partial Point Cloud Registration

Point cloud registration is a key task in many computational fields. Pre...

Hao Xu, et al. ∙

research

∙ 02/03/2021

UPHDR-GAN: Generative Adversarial Network for High Dynamic Range Imaging with Unpaired Data

The paper proposes a method to effectively fuse multi-exposure inputs an...

Ru Li, et al. ∙

research

∙ 01/19/2021

JigsawGAN: Self-supervised Learning for Solving Jigsaw Puzzles with Generative Adversarial Networks

The paper proposes a solution based on Generative Adversarial Network (G...

Ru Li, et al. ∙

research

∙ 08/03/2020

Rethinking Image Deraining via Rain Streaks and Vapors

Single image deraining regards an input image as a fusion of a backgroun...

Yinglong Wang, et al. ∙

research

∙ 06/09/2020

Stereo RGB and Deeper LIDAR Based Network for 3D Object Detection

3D object detection has become an emerging task in autonomous driving sc...

Qingdong He, et al. ∙

research

∙ 06/07/2020

SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection from Point Clouds

Accurate 3D object detection from point clouds has become a crucial comp...

Qingdong He, et al. ∙

research

∙ 03/16/2020

SlimConv: Reducing Channel Redundancy in Convolutional Neural Networks by Weights Flipping

The channel redundancy in feature maps of convolutional neural networks ...

Jiaxiong Qiu, et al. ∙

research

∙ 12/10/2019

Neural Point Cloud Rendering via Multi-Plane Projection

We present a new deep point cloud rendering pipeline through multi-plane...

Xin Yu, et al. ∙

research

∙ 12/10/2019

Arithmetic addition of two integers by deep image classification networks: experiments to quantify their autonomous reasoning ability

The unprecedented performance achieved by deep convolutional neural netw...

Shuaicheng Liu, et al. ∙

research

∙ 11/25/2019

Deep Image Deraining Via Intrinsic Rainy Image Priors and Multi-scale Auxiliary Decoding

Different rain models and novel network structures have been proposed to...

Yinglong Wang, et al. ∙

research

∙ 10/09/2019

Gradient Information Guided Deraining with A Novel Network and Adversarial Training

In recent years, deep learning based methods have made significant progr...

Yinglong Wang, et al. ∙

research

∙ 06/22/2019

Deep Single Image Deraining Via Estimating Transmission and Atmospheric Light in rainy Scenes

Rain removal in images/videos is still an important task in computer vis...

Yinglong Wang, et al. ∙

research

∙ 05/14/2019

An Effective Two-Branch Model-Based Deep Network for Single Image Deraining

Removing rain effects from an image automatically has many applications ...

Yinglong Wang, et al. ∙

research

∙ 01/28/2019

Enhancing Quality for VVC Compressed Videos by Jointly Exploiting Spatial Details and Temporal Structure

In this paper, we propose a quality enhancement network for Versatile Vi...

Xiandong Meng, et al. ∙

research

∙ 12/20/2018

Rain Removal By Image Quasi-Sparsity Priors

Rain streaks will inevitably be captured by some outdoor vision systems,...

Yinglong Wang, et al. ∙

research

∙ 12/19/2018

Removing rain streaks by a linear model

Removing rain streaks from a single image continues to draw attentions t...

Yinglong Wang, et al. ∙

research

∙ 12/02/2018

DeepLiDAR: Deep Surface Normal Guided Depth Prediction for Outdoor Scene from Sparse LiDAR Data and Single Color Image

In this paper, we propose a deep learning architecture that produces acc...

Jiaxiong Qiu, et al. ∙

research

∙ 11/22/2018

MGANet: A Robust Model for Quality Enhancement of Compressed Video

In video compression, most of the existing deep learning approaches conc...

Xiandong Meng, et al. ∙

research

∙ 10/29/2018

Differential Evolution with Nearest & Better Option for Function Optimization

Differential evolution is the conventional algorithm with the fastest co...

Haozhen Dong, et al. ∙

research

∙ 06/27/2018

A Decomposition-Based Many-Objective Evolutionary Algorithm with Local Iterative Update

Existing studies have shown that the conventional multi-objective evolut...

Yingyu Zhang, et al. ∙

research

∙ 04/09/2018

Whale swarm algorithm with iterative counter for multimodal function optimization

Most real-world optimization problems often come with multiple global op...

Bing Zeng, et al. ∙

research

∙ 01/25/2018

A mullti- or many- objective evolutionary algorithm with global loop update

Multi- or many-objective evolutionary algorithm- s(MOEAs), especially th...

Yingyu Zhang, et al. ∙

research

∙ 08/08/2017

Fast Low-Rank Bayesian Matrix Completion with Hierarchical Gaussian Prior Models

The problem of low rank matrix completion is considered in this paper. T...

Linxiao Yang, et al. ∙

research

∙ 02/11/2017

Whale swarm algorithm for function optimization

Increasing nature-inspired metaheuristic algorithms are applied to solvi...

Bing Zeng, et al. ∙

Bing Zeng

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