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06/20/2023
TransRef: Multi-Scale Reference Embedding Transformer for Reference-Guided Image Inpainting
Image inpainting for completing complicated semantic environments and di...
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04/28/2023
Making the Invisible Visible: Toward High-Quality Terahertz Tomographic Imaging via Physics-Guided Restoration
Terahertz (THz) tomographic imaging has recently attracted significant a...
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04/10/2023
Local-Global Temporal Difference Learning for Satellite Video Super-Resolution
Optical-flow-based and kernel-based approaches have been widely explored...
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12/29/2022
Efficient Image Super-Resolution with Feature Interaction Weighted Hybrid Network
Recently, great progress has been made in single-image super-resolution ...
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10/14/2022
Meta Transferring for Deblurring
Most previous deblurring methods were built with a generic model trained...
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09/26/2022
A heterogeneous group CNN for image super-resolution
Convolutional neural networks (CNNs) have obtained remarkable performanc...
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06/10/2022
Unsupervised Foggy Scene Understanding via Self Spatial-Temporal Label Diffusion
Understanding foggy image sequence in the driving scenes is critical for...
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05/29/2022
Image Super-resolution with An Enhanced Group Convolutional Neural Network
CNNs with strong learning abilities are widely chosen to resolve super-r...
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04/10/2022
Stripformer: Strip Transformer for Fast Image Deblurring
Images taken in dynamic scenes may contain unwanted motion blur, which s...
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02/15/2022
Pruning Networks with Cross-Layer Ranking k-Reciprocal Nearest Filters
This paper focuses on filter-level network pruning. A novel pruning meth...
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01/24/2022
Keeping Deep Lithography Simulators Updated: Global-Local Shape-Based Novelty Detection and Active Learning
Learning-based pre-simulation (i.e., layout-to-fabrication) models have ...
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12/01/2021
Both Style and Fog Matter: Cumulative Domain Adaptation for Semantic Foggy Scene Understanding
Although considerable progress has been made in semantic scene understan...
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10/21/2021
Fast Graph Sampling for Short Video Summarization using Gershgorin Disc Alignment
We study the problem of efficiently summarizing a short video into sever...
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04/24/2021
Carrying out CNN Channel Pruning in a White Box
Channel Pruning has been long adopted for compressing CNNs, which signif...
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03/31/2021
Seeing through a Black Box: Toward High-Quality Terahertz TomographicImaging via Multi-Scale Spatio-Spectral Image Fusion
Terahertz tomographic imaging has recently arisen significant attention ...
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03/25/2021
Asymmetric CNN for image super-resolution
Deep convolutional neural networks (CNNs) have been widely applied for l...
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03/13/2021
Ensemble Learning with Manifold-Based Data Splitting for Noisy Label Correction
Label noise in training data can significantly degrade a model's general...
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02/16/2021
SiMaN: Sign-to-Magnitude Network Binarization
Binary neural networks (BNNs) have attracted broad research interest due...
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01/19/2021
BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring
Image motion blur usually results from moving objects or camera shakes. ...
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01/16/2021
Dual-Level Collaborative Transformer for Image Captioning
Descriptive region features extracted by object detection networks have ...
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12/15/2020
Image Inpainting Guided by Coherence Priors of Semantics and Textures
Existing inpainting methods have achieved promising performance in recov...
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10/28/2020
Forgery Blind Inspection for Detecting Manipulations of Gel Electrophoresis Images
Recently, falsified images have been found in papers involved in researc...
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09/28/2020
Rotated Binary Neural Network
Binary Neural Network (BNN) shows its predominance in reducing the compl...
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07/21/2020
Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach
Few-shot learning is a challenging problem that has attracted more and m...
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07/08/2020
Designing and Training of A Dual CNN for Image Denoising
Deep convolutional neural networks (CNNs) for image denoising have recen...
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03/15/2020
Guidance and Evaluation: Semantic-Aware Image Inpainting for Mixed Scenes
Completing a corrupted image with correct structures and reasonable text...
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02/23/2020
DotFAN: A Domain-transferred Face Augmentation Network for Pose and Illumination Invariant Face Recognition
The performance of a convolutional neural network (CNN) based face recog...
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02/11/2020
From IC Layout to Die Photo: A CNN-Based Data-Driven Approach
Since IC fabrication is costly and time-consuming, it is highly desirabl...
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12/31/2019
Deep Learning on Image Denoising: An overview
Deep learning techniques have obtained much attention in image denoising...
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12/07/2019
A Real-time Global Inference Network for One-stage Referring Expression Comprehension
Referring Expression Comprehension (REC) is an emerging research spot in...
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10/09/2019
Semantic-aware Image Deblurring
Image deblurring has achieved exciting progress in recent years. However...
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06/04/2019
Information Competing Process for Learning Diversified Representations
Learning representations with diversified information remains an open pr...
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05/13/2019
Group Re-identification via Transferred Single and Couple Representation Learning
Group re-identification (G-ReID) is an important yet less-studied task. ...
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02/02/2019
How to Write High-quality News on Social Network? Predicting News Quality by Mining Writing Style
Rapid development of Internet technologies promotes traditional newspape...
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07/22/2018
SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination
Despite generative adversarial networks (GANs) can hallucinate photo-rea...
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05/19/2017
CNN-Based Joint Clustering and Representation Learning with Feature Drift Compensation for Large-Scale Image Data
Given a large unlabeled set of images, how to efficiently and effectivel...
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04/27/2017
TFDASH: A Fairness, Stability, and Efficiency Aware Rate Control Approach for Multiple Clients over DASH
Dynamic adaptive streaming over HTTP (DASH) has recently been widely dep...
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02/10/2017