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05/24/2023
Graphy Analysis Using a GPU-based Parallel Algorithm: Quantum Clustering
The article introduces a new method for applying Quantum Clustering to g...
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05/22/2023
Hierarchical Integration Diffusion Model for Realistic Image Deblurring
Diffusion models (DMs) have recently been introduced in image deblurring...
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02/03/2023
ShadowFormer: Global Context Helps Image Shadow Removal
Recent deep learning methods have achieved promising results in image sh...
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08/23/2022
AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results
This paper reviews the Challenge on Super-Resolution of Compressed Image...
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07/18/2022
Boosting Video Super Resolution with Patch-Based Temporal Redundancy Optimization
The success of existing video super-resolution (VSR) algorithms stems ma...
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07/12/2022
Dynamic Proposals for Efficient Object Detection
Object detection is a basic computer vision task to loccalize and catego...
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05/16/2022
Residual Local Feature Network for Efficient Super-Resolution
Deep learning based approaches has achieved great performance in single ...
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04/18/2022
Fast and Memory-Efficient Network Towards Efficient Image Super-Resolution
Runtime and memory consumption are two important aspects for efficient i...
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05/19/2021
Retrieval-Augmented Transformer-XL for Close-Domain Dialog Generation
Transformer-based models have demonstrated excellent capabilities of cap...
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05/08/2021
Understanding Neural Networks with Logarithm Determinant Entropy Estimator
Understanding the informative behaviour of deep neural networks is chall...
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04/12/2021
Adversarial Open Domain Adaption for Sketch-to-Photo Synthesis
In this paper, we explore the open-domain sketch-to-photo translation, w...
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04/08/2021
Progressive Temporal Feature Alignment Network for Video Inpainting
Video inpainting aims to fill spatio-temporal "corrupted" regions with p...
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12/07/2020
CompFeat: Comprehensive Feature Aggregation for Video Instance Segmentation
Video instance segmentation is a complex task in which we need to detect...
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06/08/2020
Outlier Detection Using a Novel method: Quantum Clustering
We propose a new assumption in outlier detection: Normal data instances ...
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06/08/2020
Neural Sparse Representation for Image Restoration
Inspired by the robustness and efficiency of sparse representation in sp...
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05/15/2020
Quantum-Classical Machine learning by Hybrid Tensor Networks
Tensor networks (TN) have found a wide use in machine learning, and in p...
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05/06/2020
Unsupervised Real-world Low-light Image Enhancement with Decoupled Networks
Conventional learning-based approaches to low-light image enhancement ty...
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04/28/2020
Pyramid Attention Networks for Image Restoration
Self-similarity refers to the image prior widely used in image restorati...
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12/19/2019
Scale-wise Convolution for Image Restoration
While scale-invariant modeling has substantially boosted the performance...
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12/07/2019
DAVID: Dual-Attentional Video Deblurring
Blind video deblurring restores sharp frames from a blurry sequence with...
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11/09/2019
Information Bottleneck Methods on Convolutional Neural Networks
Recent year, many researches attempt to open the black box of deep neura...
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06/17/2019
EnlightenGAN: Deep Light Enhancement without Paired Supervision
Deep learning-based methods have achieved remarkable success in image re...
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03/26/2019
Generative Tensor Network Classification Model for Supervised Machine Learning
Tensor network (TN) has recently triggered extensive interests in develo...
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09/06/2018
Connecting Image Denoising and High-Level Vision Tasks via Deep Learning
Image denoising and high-level vision tasks are usually handled independ...
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07/29/2018
U-Finger: Multi-Scale Dilated Convolutional Network for Fingerprint Image Denoising and Inpainting
This paper studies the challenging problem of fingerprint image denoisin...
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06/07/2018
Non-Local Recurrent Network for Image Restoration
Many classic methods have shown non-local self-similarity in natural ima...
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05/07/2018
Image Super-Resolution via Dual-State Recurrent Networks
Advances in image super-resolution (SR) have recently benefited signific...
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04/19/2018
Survey of Face Detection on Low-quality Images
Face detection is a well-explored problem. Many challenges on face detec...
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04/16/2018
Learning Simple Thresholded Features with Sparse Support Recovery
The thresholded feature has recently emerged as an extremely efficient, ...
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12/20/2017
Enhance Visual Recognition under Adverse Conditions via Deep Networks
Visual recognition under adverse conditions is a very important and chal...
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12/04/2017
Learning Object Detectors from Scratch with Gated Recurrent Feature Pyramids
In this paper, we propose gated recurrent feature pyramid for the proble...
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10/13/2017
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...
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09/10/2017
Robust Emotion Recognition from Low Quality and Low Bit Rate Video: A Deep Learning Approach
Emotion recognition from facial expressions is tremendously useful, espe...
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07/27/2017
Learning Audio Sequence Representations for Acoustic Event Classification
Acoustic Event Classification (AEC) has become a significant task for ma...
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06/14/2017
When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach
Conventionally, image denoising and high-level vision tasks are handled ...
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02/27/2017
Understanding Convolution for Semantic Segmentation
Recent advances in deep learning, especially deep convolutional neural n...
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01/03/2017
Learning a Mixture of Deep Networks for Single Image Super-Resolution
Single image super-resolution (SR) is an ill-posed problem which aims to...
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01/16/2016
Brain-Inspired Deep Networks for Image Aesthetics Assessment
Image aesthetics assessment has been challenging due to its subjective n...
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01/16/2016
Studying Very Low Resolution Recognition Using Deep Networks
Visual recognition research often assumes a sufficient resolution of the...
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01/16/2016
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...
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07/31/2015