5.3k citations · 12.2k across the 85 of their papers we have counts for
12 papers · 1 filter
Super-Identity Convolutional Neural Network for Face Hallucination
Kaipeng Zhang, Zhanpeng Zhang, Chia-Wen Cheng +4
Face hallucination is a generative task to super-resolve the facial image with low resolution while human perception of face heavily relies on identity information. However, previo…
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report
Andrey Ignatov, Radu Timofte, Thang Van Vu +45
This paper reviews the first challenge on efficient perceptual image enhancement with the focus on deploying deep learning models on smartphones. The challenge consisted of two tra…
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
Xintao Wang, Ke Yu, Shixiang Wu +6
The Super-Resolution Generative Adversarial Network (SRGAN) is a seminal work that is capable of generating realistic textures during single image super-resolution. However, the ha…
Prostate Segmentation using 2D Bridged U-net
Wanli Chen, Yue Zhang, Junjun He +4
In this paper, we focus on three problems in deep learning based medical image segmentation. Firstly, U-net, as a popular model for medical image segmentation, is difficult to trai…
Knowledge-based Fully Convolutional Network and Its Application in Segmentation of Lung CT Images
Tao Yu, Yu Qiao, Huan Long
A variety of deep neural networks have been applied in medical image segmentation and achieve good performance. Unlike natural images, medical images of the same imaging modality a…
Boosting up Scene Text Detectors with Guided CNN
Xiaoyu Yue, Zhanghui Kuang, Zhaoyang Zhang +4
Deep CNNs have achieved great success in text detection. Most of existing methods attempt to improve accuracy with sophisticated network design, while paying less attention on spee…
An end-to-end TextSpotter with Explicit Alignment and Attention
Tong He, Zhi Tian, Weilin Huang +3
Text detection and recognition in natural images have long been considered as two separate tasks that are processed sequentially. Training of two tasks in a unified framework is no…
LSTD: A Low-Shot Transfer Detector for Object Detection
Hao Chen, Yali Wang, Guoyou Wang +1
Recent advances in object detection are mainly driven by deep learning with large-scale detection benchmarks. However, the fully-annotated training set is often limited for a targe…
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters
Yifan Xu, Tianqi Fan, Mingye Xu +2
Deep neural networks have enjoyed remarkable success for various vision tasks, however it remains challenging to apply CNNs to domains lacking a regular underlying structures such…
Deep Reinforcement Learning for Unsupervised Video Summarization with Diversity-Representativeness Reward
Kaiyang Zhou, Yu Qiao, Tao Xiang
Video summarization aims to facilitate large-scale video browsing by producing short, concise summaries that are diverse and representative of original videos. In this paper, we fo…
Structured Triplet Learning with POS-tag Guided Attention for Visual Question Answering
Zhe Wang, Xiaoyi Liu, Liangjian Chen +4
Visual question answering (VQA) is of significant interest due to its potential to be a strong test of image understanding systems and to probe the connection between language and…
FOTS: Fast Oriented Text Spotting with a Unified Network
Xuebo Liu, Ding Liang, Shi Yan +3
Incidental scene text spotting is considered one of the most difficult and valuable challenges in the document analysis community. Most existing methods treat text detection and re…