Search Results for author: Qiong Yan

Found 30 papers, 22 papers with code

Towards Explainable In-the-Wild Video Quality Assessment: a Database and a Language-Prompted Approach

no code implementations22 May 2023 HaoNing Wu, Erli Zhang, Liang Liao, Chaofeng Chen, Jingwen Hou, Annan Wang, Wenxiu Sun, Qiong Yan, Weisi Lin

Though subjective studies have collected overall quality scores for these videos, how the abstract quality scores relate with specific factors is still obscure, hindering VQA methods from more concrete quality evaluations (e. g. sharpness of a video).

Video Quality Assessment Visual Question Answering (VQA)

Towards Robust Text-Prompted Semantic Criterion for In-the-Wild Video Quality Assessment

1 code implementation28 Apr 2023 HaoNing Wu, Liang Liao, Annan Wang, Chaofeng Chen, Jingwen Hou, Wenxiu Sun, Qiong Yan, Weisi Lin

The proliferation of videos collected during in-the-wild natural settings has pushed the development of effective Video Quality Assessment (VQA) methodologies.

Video Quality Assessment Visual Question Answering (VQA)

Exploring Opinion-unaware Video Quality Assessment with Semantic Affinity Criterion

1 code implementation26 Feb 2023 HaoNing Wu, Liang Liao, Jingwen Hou, Chaofeng Chen, Erli Zhang, Annan Wang, Wenxiu Sun, Qiong Yan, Weisi Lin

Recent learning-based video quality assessment (VQA) algorithms are expensive to implement due to the cost of data collection of human quality opinions, and are less robust across various scenarios due to the biases of these opinions.

Video Quality Assessment Visual Question Answering (VQA)

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

3 code implementations11 Oct 2022 HaoNing Wu, Chaofeng Chen, Liang Liao, Jingwen Hou, Wenxiu Sun, Qiong Yan, Jinwei Gu, Weisi Lin

On the other hand, existing practices, such as resizing and cropping, will change the quality of original videos due to the loss of details and contents, and are therefore harmful to quality assessment.

Ranked #2 on Video Quality Assessment on KoNViD-1k (using extra training data)

Video Quality Assessment Visual Question Answering (VQA)

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

1 code implementation8 Jul 2022 Liang Liao, Kangmin Xu, HaoNing Wu, Chaofeng Chen, Wenxiu Sun, Qiong Yan, Weisi Lin

Experiments show that the perceptual representation in the HVS is an effective way of predicting subjective temporal quality, and thus TPQI can, for the first time, achieve comparable performance to the spatial quality metric and be even more effective in assessing videos with large temporal variations.

Video Quality Assessment Visual Question Answering (VQA)

D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image Restoration

1 code implementation7 Jul 2022 Yuzhi Zhao, Yongzhe Xu, Qiong Yan, Dingdong Yang, Xuehui Wang, Lai-Man Po

Night imaging with modern smartphone cameras is troublesome due to low photon count and unavoidable noise in the imaging system.

Deblurring Denoising +1

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

3 code implementations6 Jul 2022 HaoNing Wu, Chaofeng Chen, Jingwen Hou, Liang Liao, Annan Wang, Wenxiu Sun, Qiong Yan, Weisi Lin

Consisting of fragments and FANet, the proposed FrAgment Sample Transformer for VQA (FAST-VQA) enables efficient end-to-end deep VQA and learns effective video-quality-related representations.

Video Quality Assessment

DisCoVQA: Temporal Distortion-Content Transformers for Video Quality Assessment

1 code implementation20 Jun 2022 HaoNing Wu, Chaofeng Chen, Liang Liao, Jingwen Hou, Wenxiu Sun, Qiong Yan, Weisi Lin

Based on prominent time-series modeling ability of transformers, we propose a novel and effective transformer-based VQA method to tackle these two issues.

Time Series Analysis Video Quality Assessment +1

ChildPredictor: A Child Face Prediction Framework with Disentangled Learning

1 code implementation21 Apr 2022 Yuzhi Zhao, Lai-Man Po, Xuehui Wang, Qiong Yan, Wei Shen, Yujia Zhang, Wei Liu, Chun-Kit Wong, Chiu-Sing Pang, Weifeng Ou, Wing-Yin Yu, Buhua Liu

On this basis, we formulate predictions as a mapping from parents' genetic factors to children's genetic factors, and disentangle them from external and variety factors.

Age-Invariant Face Recognition Image-to-Image Translation +1

Dual-Camera Super-Resolution with Aligned Attention Modules

2 code implementations ICCV 2021 Tengfei Wang, Jiaxin Xie, Wenxiu Sun, Qiong Yan, Qifeng Chen

We present a novel approach to reference-based super-resolution (RefSR) with the focus on dual-camera super-resolution (DCSR), which utilizes reference images for high-quality and high-fidelity results.

Domain Adaptation Reference-based Super-Resolution

A Categorized Reflection Removal Dataset with Diverse Real-world Scenes

no code implementations7 Aug 2021 Chenyang Lei, Xuhua Huang, Chenyang Qi, Yankun Zhao, Wenxiu Sun, Qiong Yan, Qifeng Chen

Due to the lack of a large-scale reflection removal dataset with diverse real-world scenes, many existing reflection removal methods are trained on synthetic data plus a small amount of real-world data, which makes it difficult to evaluate the strengths or weaknesses of different reflection removal methods thoroughly.

Reflection Removal

Guided Collaborative Training for Pixel-wise Semi-Supervised Learning

1 code implementation ECCV 2020 Zhanghan Ke, Di Qiu, Kaican Li, Qiong Yan, Rynson W. H. Lau

Although SSL methods have achieved impressive results in image classification, the performances of applying them to pixel-wise tasks are unsatisfactory due to their need for dense outputs.

Image Denoising Image Enhancement +2

Hierarchical Regression Network for Spectral Reconstruction from RGB Images

1 code implementation10 May 2020 Yuzhi Zhao, Lai-Man Po, Qiong Yan, Wei Liu, Tingyu Lin

Hyperspectral reconstruction from RGB images denotes a reverse process of hyperspectral imaging by discovering an inverse response function.

regression Spectral Reconstruction

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

1 code implementation26 Sep 2018 Ruichao Xiao, Wenxiu Sun, Jiahao Pang, Qiong Yan, Jimmy Ren

Our method is evaluated on both real-istic and synthetic stereo image pairs, and produces supe-rior results compared to the calibrated rectification or otherself-rectification approaches

Stereo Matching Stereo Matching Hand

Image Dehazing using Bilinear Composition Loss Function

no code implementations1 Oct 2017 Hui Yang, Jinshan Pan, Qiong Yan, Wenxiu Sun, Jimmy Ren, Yu-Wing Tai

In this paper, we introduce a bilinear composition loss function to address the problem of image dehazing.

Image Dehazing

Cascade Residual Learning: A Two-stage Convolutional Neural Network for Stereo Matching

1 code implementation30 Aug 2017 Jiahao Pang, Wenxiu Sun, Jimmy SJ. Ren, Chengxi Yang, Qiong Yan

As opposed to directly learning the disparity at the second stage, we show that residual learning provides more effective refinement.

Stereo Matching Stereo Matching Hand

Robust Tracking Using Region Proposal Networks

no code implementations30 May 2017 Jimmy Ren, ZHIYANG YU, Jianbo Liu, Rui Zhang, Wenxiu Sun, Jiahao Pang, Xiaohao Chen, Qiong Yan

Recent advances in visual tracking showed that deep Convolutional Neural Networks (CNN) trained for image classification can be strong feature extractors for discriminative trackers.

Classification Feature Engineering +4

Look, Listen and Learn - A Multimodal LSTM for Speaker Identification

no code implementations13 Feb 2016 Jimmy Ren, Yongtao Hu, Yu-Wing Tai, Chuan Wang, Li Xu, Wenxiu Sun, Qiong Yan

This task not only requires collective perception over both visual and auditory signals, the robustness to handle severe quality degradations and unconstrained content variations are also indispensable.

Speaker Identification

Shepard Convolutional Neural Networks

1 code implementation NeurIPS 2015 Jimmy SJ. Ren, Li Xu, Qiong Yan, Wenxiu Sun

In this paper, we draw on Shepard interpolation and design Shepard Convolutional Neural Networks (ShCNN) which efficiently realizes end-to-end trainable TVI operators in the network.

Image Inpainting Super-Resolution +1

Dense Scattering Layer Removal

no code implementations13 Oct 2013 Qiong Yan, Li Xu, Jiaya Jia

We propose a new model, together with advanced optimization, to separate a thick scattering media layer from a single natural image.

Hierarchical Saliency Detection

no code implementations CVPR 2013 Qiong Yan, Li Xu, Jianping Shi, Jiaya Jia

When dealing with objects with complex structures, saliency detection confronts a critical problem namely that detection accuracy could be adversely affected if salient foreground or background in an image contains small-scale high-contrast patterns.

Saliency Detection

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