activity
20192022
most citedDesigning and Training of A Dual CNN for Image Denoising

9 citations · 40 across the 11 of their papers we have counts for

collaborators

15 papers

cs.CV2021

Fast Graph Sampling for Short Video Summarization using Gershgorin Disc Alignment

Sadid Sahami, Gene Cheung, Chia-Wen Lin

We study the problem of efficiently summarizing a short video into several keyframes, leveraging recent progress in fast graph sampling. Specifically, we first construct a similari…

cs.CV2021

Asymmetric CNN for image super-resolution

Chunwei Tian, Yong Xu, Wangmeng Zuo +2

Deep convolutional neural networks (CNNs) have been widely applied for low-level vision over the past five years. According to nature of different applications, designing appropria…

cs.CV2021

Dual-Level Collaborative Transformer for Image Captioning

Yunpeng Luo, Jiayi Ji, Xiaoshuai Sun +5

Descriptive region features extracted by object detection networks have played an important role in the recent advancements of image captioning. However, they are still criticized…

cs.CV20208 cited

Image Inpainting Guided by Coherence Priors of Semantics and Textures

Liang Liao, Jing Xiao, Zheng Wang +2

Existing inpainting methods have achieved promising performance in recovering defected images of specific scenes. However, filling holes involving multiple semantic categories rema…

cs.CV2020

Rotated Binary Neural Network

Mingbao Lin, Rongrong Ji, Zihan Xu +5

Binary Neural Network (BNN) shows its predominance in reducing the complexity of deep neural networks. However, it suffers severe performance degradation. One of the major impedime…

cs.CV20202 cited

Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach

Xian Zhong, Cheng Gu, Wenxin Huang +3

Few-shot learning is a challenging problem that has attracted more and more attention recently since abundant training samples are difficult to obtain in practical applications. Me…