b'Wenxiu Sun'

research

∙ 11/09/2022

Disentangling Aesthetic and Technical Effects for Video Quality Assessment of User Generated Content

User-generated-content (UGC) videos have dominated the Internet during r...

Haoning Wu, et al. ∙

research

∙ 10/11/2022

Neighbourhood Representative Sampling for Efficient End-to-end Video Quality Assessment

The increased resolution of real-world videos presents a dilemma between...

Haoning Wu, et al. ∙

research

∙ 09/15/2022

MIPI 2022 Challenge on RGBW Sensor Re-mosaic: Dataset and Report

Developing and integrating advanced image sensors with novel algorithms ...

Qingyu Yang, et al. ∙

research

∙ 09/15/2022

MIPI 2022 Challenge on RGBW Sensor Fusion: Dataset and Report

Developing and integrating advanced image sensors with novel algorithms ...

Qingyu Yang, et al. ∙

research

∙ 09/15/2022

MIPI 2022 Challenge on Quad-Bayer Re-mosaic: Dataset and Report

Developing and integrating advanced image sensors with novel algorithms ...

Qingyu Yang, et al. ∙

research

∙ 09/15/2022

MIPI 2022 Challenge on RGB+ToF Depth Completion: Dataset and Report

Developing and integrating advanced image sensors with novel algorithms ...

Wenxiu Sun, et al. ∙

research

∙ 09/15/2022

MIPI 2022 Challenge on Under-Display Camera Image Restoration: Methods and Results

Developing and integrating advanced image sensors with novel algorithms ...

Ruicheng Feng, et al. ∙

research

∙ 07/08/2022

Exploring the Effectiveness of Video Perceptual Representation in Blind Video Quality Assessment

With the rapid growth of in-the-wild videos taken by non-specialists, bl...

Liang Liao, et al. ∙

research

∙ 07/06/2022

FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment Sampling

Current deep video quality assessment (VQA) methods are usually with hig...

Haoning Wu, et al. ∙

research

∙ 06/20/2022

DisCoVQA: Temporal Distortion-Content Transformers for Video Quality Assessment

The temporal relationships between frames and their influences on video ...

Haoning Wu, et al. ∙

research

∙ 09/07/2021

FuseFormer: Fusing Fine-Grained Information in Transformers for Video Inpainting

Transformer, as a strong and flexible architecture for modelling long-ra...

Rui Liu, et al. ∙

research

∙ 04/14/2021

Decoupled Spatial-Temporal Transformer for Video Inpainting

Video inpainting aims to fill the given spatiotemporal holes with realis...

Rui Liu, et al. ∙

research

∙ 04/06/2021

Deep Animation Video Interpolation in the Wild

In the animation industry, cartoon videos are usually produced at low fr...

Li Siyao, et al. ∙

research

∙ 02/08/2021

Learning N:M Fine-grained Structured Sparse Neural Networks From Scratch

Sparsity in Deep Neural Networks (DNNs) has been widely studied to compr...

Aojun Zhou, et al. ∙

research

∙ 01/26/2021

Semi-synthesis: A fast way to produce effective datasets for stereo matching

Stereo matching is an important problem in computer vision which has dra...

Ju He, et al. ∙

research

∙ 09/10/2020

Enhanced Quadratic Video Interpolation

With the prosperity of digital video industry, video frame interpolation...

Yihao Liu, et al. ∙

research

∙ 08/12/2020

Towards Geometry Guided Neural Relighting with Flash Photography

Previous image based relighting methods require capturing multiple image...

Di Qiu, et al. ∙

research

∙ 05/05/2020

StereoGAN: Bridging Synthetic-to-Real Domain Gap by Joint Optimization of Domain Translation and Stereo Matching

Large-scale synthetic datasets are beneficial to stereo matching but usu...

Rui Liu, et al. ∙

research

∙ 03/28/2020

Polarized Reflection Removal with Perfect Alignment in the Wild

We present a novel formulation to removing reflection from polarized ima...

Chenyang Lei, et al. ∙

research

∙ 11/02/2019

Quadratic video interpolation

Video interpolation is an important problem in computer vision, which he...

Xiangyu Xu, et al. ∙

research

∙ 10/18/2019

Toward 3D Object Reconstruction from Stereo Images

Inferring the 3D shape of an object from an RGB image has shown impressi...

Hongxun Yao, et al. ∙

research

∙ 09/17/2019

Deep End-to-End Alignment and Refinement for Time-of-Flight RGB-D Module

Recently, it is increasingly popular to equip mobile RGB cameras with Ti...

Di Qiu, et al. ∙

research

∙ 05/29/2019

Towards Real Scene Super-Resolution with Raw Images

Most existing super-resolution methods do not perform well in real scena...

Xiangyu Xu, et al. ∙

research

∙ 04/15/2019

Learning Deformable Kernels for Image and Video Denoising

Most of the classical denoising methods restore clear results by selecti...

Xiangyu Xu, et al. ∙

research

∙ 04/06/2019

Deep Surface Normal Estimation with Hierarchical RGB-D Fusion

The growing availability of commodity RGB-D cameras has boosted the appl...

Jin Zeng, et al. ∙

research

∙ 09/26/2018

DSR: Direct Self-rectification for Uncalibrated Dual-lens Cameras

With the developments of dual-lens camera modules,depth information repr...

Ruichao Xiao, et al. ∙

research

∙ 09/25/2018

Confidence Inference for Focused Learning in Stereo Matching

In this paper, we present confidence inference approachin an unsupervise...

Ruichao Xiao, et al. ∙

research

∙ 07/31/2018

Deep Graph Laplacian Regularization

We propose to combine the robustness merit of model-based approaches and...

Jin Zeng, et al. ∙

research

∙ 03/18/2018

Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains

Despite the recent success of stereo matching with convolutional neural ...

Jiahao Pang, et al. ∙

research

∙ 03/07/2018

Single View Stereo Matching

Previous monocular depth estimation methods take a single view and direc...

Yue Luo, et al. ∙

research

∙ 12/18/2017

LSTM Pose Machines

We observed that recent state-of-the-art results on single image human p...

Yue Luo, et al. ∙

research

∙ 10/01/2017

Image Dehazing using Bilinear Composition Loss Function

In this paper, we introduce a bilinear composition loss function to addr...

Hui Yang, et al. ∙

research

∙ 05/30/2017

Robust Tracking Using Region Proposal Networks

Recent advances in visual tracking showed that deep Convolutional Neural...

Jimmy Ren, et al. ∙

Wenxiu Sun

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