Ding Liu

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University of Illinois at Urbana-Champaign ∙ ByteDance Inc.

PhD candidate in the Image Formulation and Processing (IFP) group led by Prof. Thomas Huang, University of Illinois at Urbana-Champaign.

CompFeat: Comprehensive Feature Aggregation for Video Instance Segmentation

Video instance segmentation is a complex task in which we need to detect...
12/07/2020 ∙ by Yang Fu, et al. ∙ 8 ∙ share

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Outlier Detection Using a Novel method: Quantum Clustering

We propose a new assumption in outlier detection: Normal data instances ...
06/08/2020 ∙ by Ding Liu, et al. ∙ 0 ∙ share

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Neural Sparse Representation for Image Restoration

Inspired by the robustness and efficiency of sparse representation in sp...
06/08/2020 ∙ by Yuchen Fan, et al. ∙ 19 ∙ share

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Quantum-Classical Machine learning by Hybrid Tensor Networks

Tensor networks (TN) have found a wide use in machine learning, and in p...
05/15/2020 ∙ by Ding Liu, et al. ∙ 0 ∙ share

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Unsupervised Real-world Low-light Image Enhancement with Decoupled Networks

Conventional learning-based approaches to low-light image enhancement ty...
05/06/2020 ∙ by Wei Xiong, et al. ∙ 9 ∙ share

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Pyramid Attention Networks for Image Restoration

Self-similarity refers to the image prior widely used in image restorati...
04/28/2020 ∙ by Yiqun Mei, et al. ∙ 0 ∙ share

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Scale-wise Convolution for Image Restoration

While scale-invariant modeling has substantially boosted the performance...
12/19/2019 ∙ by Yuchen Fan, et al. ∙ 14 ∙ share

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DAVID: Dual-Attentional Video Deblurring

Blind video deblurring restores sharp frames from a blurry sequence with...
12/07/2019 ∙ by Junru Wu, et al. ∙ 4 ∙ share

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Information Bottleneck Methods on Convolutional Neural Networks

Recent year, many researches attempt to open the black box of deep neura...
11/09/2019 ∙ by Junjie Li, et al. ∙ 0 ∙ share

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EnlightenGAN: Deep Light Enhancement without Paired Supervision

Deep learning-based methods have achieved remarkable success in image re...
06/17/2019 ∙ by Yifan Jiang, et al. ∙ 26 ∙ share

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Generative Tensor Network Classification Model for Supervised Machine Learning

Tensor network (TN) has recently triggered extensive interests in develo...
03/26/2019 ∙ by Zheng-Zhi Sun, et al. ∙ 18 ∙ share

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Connecting Image Denoising and High-Level Vision Tasks via Deep Learning

Image denoising and high-level vision tasks are usually handled independ...
09/06/2018 ∙ by Ding Liu, et al. ∙ 0 ∙ share

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U-Finger: Multi-Scale Dilated Convolutional Network for Fingerprint Image Denoising and Inpainting

This paper studies the challenging problem of fingerprint image denoisin...
07/29/2018 ∙ by Ramakrishna Prabhu, et al. ∙ 0 ∙ share

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Non-Local Recurrent Network for Image Restoration

Many classic methods have shown non-local self-similarity in natural ima...
06/07/2018 ∙ by Ding Liu, et al. ∙ 4 ∙ share

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Image Super-Resolution via Dual-State Recurrent Networks

Advances in image super-resolution (SR) have recently benefited signific...
05/07/2018 ∙ by Wei Han, et al. ∙ 0 ∙ share

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Survey of Face Detection on Low-quality Images

Face detection is a well-explored problem. Many challenges on face detec...
04/19/2018 ∙ by Yuqian Zhou, et al. ∙ 0 ∙ share

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Learning Simple Thresholded Features with Sparse Support Recovery

The thresholded feature has recently emerged as an extremely efficient, ...
04/16/2018 ∙ by Zhangyang Wang, et al. ∙ 0 ∙ share

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Enhance Visual Recognition under Adverse Conditions via Deep Networks

Visual recognition under adverse conditions is a very important and chal...
12/20/2017 ∙ by Ding Liu, et al. ∙ 0 ∙ share

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Learning Object Detectors from Scratch with Gated Recurrent Feature Pyramids

In this paper, we propose gated recurrent feature pyramid for the proble...
12/04/2017 ∙ by Zhiqiang Shen, et al. ∙ 0 ∙ share

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Machine Learning by Two-Dimensional Hierarchical Tensor Networks: A Quantum Information Theoretic Perspective on Deep Architectures

The resemblance between the methods used in studying quantum-many body p...
10/13/2017 ∙ by Ding Liu, et al. ∙ 0 ∙ share

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Robust Emotion Recognition from Low Quality and Low Bit Rate Video: A Deep Learning Approach

Emotion recognition from facial expressions is tremendously useful, espe...
09/10/2017 ∙ by Bowen Cheng, et al. ∙ 1 ∙ share

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Learning Audio Sequence Representations for Acoustic Event Classification

Acoustic Event Classification (AEC) has become a significant task for ma...
07/27/2017 ∙ by Zixing Zhang, et al. ∙ 0 ∙ share

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When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach

Conventionally, image denoising and high-level vision tasks are handled ...
06/14/2017 ∙ by Ding Liu, et al. ∙ 0 ∙ share

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Understanding Convolution for Semantic Segmentation

Recent advances in deep learning, especially deep convolutional neural n...
02/27/2017 ∙ by Panqu Wang, et al. ∙ 0 ∙ share

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Learning a Mixture of Deep Networks for Single Image Super-Resolution

Single image super-resolution (SR) is an ill-posed problem which aims to...
01/03/2017 ∙ by Ding Liu, et al. ∙ 0 ∙ share

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Brain-Inspired Deep Networks for Image Aesthetics Assessment

Image aesthetics assessment has been challenging due to its subjective n...
01/16/2016 ∙ by Zhangyang Wang, et al. ∙ 0 ∙ share

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Studying Very Low Resolution Recognition Using Deep Networks

Visual recognition research often assumes a sufficient resolution of the...
01/16/2016 ∙ by Zhangyang Wang, et al. ∙ 0 ∙ share

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D^3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images

In this paper, we design a Deep Dual-Domain (D^3) based fast restoration...
01/16/2016 ∙ by Zhangyang Wang, et al. ∙ 0 ∙ share

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Deep Networks for Image Super-Resolution with Sparse Prior

Deep learning techniques have been successfully applied in many areas of...
07/31/2015 ∙ by Zhaowen Wang, et al. ∙ 0 ∙ share

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Ding Liu

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