37 citations · 66 across the 6 of their papers we have counts for
6 papers
Efficient and Accurate Multi-scale Topological Network for Single Image Dehazing
Qiaosi Yi, Juncheng Li, Faming Fang +2
Single image dehazing is a challenging ill-posed problem that has drawn significant attention in the last few years. Recently, convolutional neural networks have achieved great suc…
Scale-Aware Network with Regional and Semantic Attentions for Crowd Counting under Cluttered Background
Qiaosi Yi, Yunxing Liu, Aiwen Jiang +3
Crowd counting is an important task that shown great application value in public safety-related fields, which has attracted increasing attention in recent years. In the current res…
Progressive Feature Fusion Network for Realistic Image Dehazing
Kangfu Mei, Aiwen Jiang, Juncheng Li +1
Single image dehazing is a challenging ill-posed restoration problem. Various prior-based and learning-based methods have been proposed. Most of them follow a classic atmospheric s…
An Effective Single-Image Super-Resolution Model Using Squeeze-and-Excitation Networks
Kangfu Mei, Aiwen Jiang, Juncheng Li +2
Recent works on single-image super-resolution are concentrated on improving performance through enhancing spatial encoding between convolutional layers. In this paper, we focus on…
Compositional Memory for Visual Question Answering
Aiwen Jiang, Fang Wang, Fatih Porikli +1
Visual Question Answering (VQA) emerges as one of the most fascinating topics in computer vision recently. Many state of the art methods naively use holistic visual features with l…
Learning Discriminative Representations for Semantic Cross Media Retrieval
Aiwen Jiang, Hanxi Li, Yi Li +1
Heterogeneous gap among different modalities emerges as one of the critical issues in modern AI problems. Unlike traditional uni-modal cases, where raw features are extracted and d…