b'Chia-Wen Lin'

research

∙ 06/20/2023

TransRef: Multi-Scale Reference Embedding Transformer for Reference-Guided Image Inpainting

Image inpainting for completing complicated semantic environments and di...

0 Liang Liao, et al. ∙

research

∙ 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...

0 Weng-Tai Su, et al. ∙

research

∙ 04/10/2023

Local-Global Temporal Difference Learning for Satellite Video Super-Resolution

Optical-flow-based and kernel-based approaches have been widely explored...

0 Yi Xiao, et al. ∙

research

∙ 12/29/2022

Efficient Image Super-Resolution with Feature Interaction Weighted Hybrid Network

Recently, great progress has been made in single-image super-resolution ...

0 Wenjie Li, et al. ∙

research

∙ 10/14/2022

Meta Transferring for Deblurring

Most previous deblurring methods were built with a generic model trained...

0 Po-Sheng Liu, et al. ∙

research

∙ 09/26/2022

A heterogeneous group CNN for image super-resolution

Convolutional neural networks (CNNs) have obtained remarkable performanc...

14 Chunwei Tian, et al. ∙

research

∙ 06/10/2022

Unsupervised Foggy Scene Understanding via Self Spatial-Temporal Label Diffusion

Understanding foggy image sequence in the driving scenes is critical for...

0 Liang Liao, et al. ∙

research

∙ 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...

0 Chunwei Tian, et al. ∙

research

∙ 04/10/2022

Stripformer: Strip Transformer for Fast Image Deblurring

Images taken in dynamic scenes may contain unwanted motion blur, which s...

0 Fu-Jen Tsai, et al. ∙

research

∙ 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...

5 Mingbao Lin, et al. ∙

research

∙ 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 ...

4 Hao-Chiang Shao, et al. ∙

research

∙ 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...

0 Xianzheng Ma, et al. ∙

research

∙ 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...

0 Sadid Sahami, et al. ∙

research

∙ 04/24/2021

Carrying out CNN Channel Pruning in a White Box

Channel Pruning has been long adopted for compressing CNNs, which signif...

8 Yuxin Zhang, et al. ∙

research

∙ 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 ...

0 Weng-Tai Su, et al. ∙

research

∙ 03/25/2021

Asymmetric CNN for image super-resolution

Deep convolutional neural networks (CNNs) have been widely applied for l...

0 Chunwei Tian, et al. ∙

research

∙ 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...

0 Hao-Chiang Shao, et al. ∙

research

∙ 02/16/2021

SiMaN: Sign-to-Magnitude Network Binarization

Binary neural networks (BNNs) have attracted broad research interest due...

0 Mingbao Lin, et al. ∙

research

∙ 01/19/2021

BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring

Image motion blur usually results from moving objects or camera shakes. ...

10 Fu-Jen Tsai, et al. ∙

research

∙ 01/16/2021

Dual-Level Collaborative Transformer for Image Captioning

Descriptive region features extracted by object detection networks have ...

11 Yunpeng Luo, et al. ∙

research

∙ 12/15/2020

Image Inpainting Guided by Coherence Priors of Semantics and Textures

Existing inpainting methods have achieved promising performance in recov...

0 Liang Liao, et al. ∙

research

∙ 10/28/2020

Forgery Blind Inspection for Detecting Manipulations of Gel Electrophoresis Images

Recently, falsified images have been found in papers involved in researc...

0 Hao-Chiang Shao, et al. ∙

research

∙ 09/28/2020

Rotated Binary Neural Network

Binary Neural Network (BNN) shows its predominance in reducing the compl...

0 Mingbao Lin, et al. ∙

research

∙ 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...

11 Xian Zhong, et al. ∙

research

∙ 07/08/2020

Designing and Training of A Dual CNN for Image Denoising

Deep convolutional neural networks (CNNs) for image denoising have recen...

1 Chunwei Tian, et al. ∙

research

∙ 03/15/2020

Guidance and Evaluation: Semantic-Aware Image Inpainting for Mixed Scenes

Completing a corrupted image with correct structures and reasonable text...

0 Liang Liao, et al. ∙

research

∙ 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...

22 Hao-Chiang Shao, et al. ∙

research

∙ 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...

6 Hao-Chiang Shao, et al. ∙

research

∙ 12/31/2019

Deep Learning on Image Denoising: An overview

Deep learning techniques have obtained much attention in image denoising...

33 Chunwei Tian, et al. ∙

research

∙ 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...

19 Yiyi Zhou, et al. ∙

research

∙ 10/09/2019

Semantic-aware Image Deblurring

Image deblurring has achieved exciting progress in recent years. However...

6 Fuhai Chen, et al. ∙

research

∙ 06/04/2019

Information Competing Process for Learning Diversified Representations

Learning representations with diversified information remains an open pr...

0 Jie Hu, et al. ∙

research

∙ 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. ...

8 Ziling Huang, et al. ∙

research

∙ 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...

0 Yuting Yang, et al. ∙

research

∙ 07/22/2018

SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination

Despite generative adversarial networks (GANs) can hallucinate photo-rea...

0 Chih-Chung Hsu, et al. ∙

research

∙ 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...

0 Chih-Chung Hsu, et al. ∙

research

∙ 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...

0 Chao Zhou, et al. ∙

research

∙ 02/10/2017

Graph Fourier Transform with Negative Edges for Depth Image Coding

Recent advent in graph signal processing (GSP) has led to the developmen...

0 Weng-Tai Su, et al. ∙

Chia-Wen Lin

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