10.5k citations · 10.9k across the 5 of their papers we have counts for
5 papers
Batch-Augmented Multi-Agent Reinforcement Learning for Efficient Traffic Signal Optimization
Yueh-Hua Wu, I-Hau Yeh, David Hu +1
The goal of this work is to provide a viable solution based on reinforcement learning for traffic signal control problems. Although the state-of-the-art reinforcement learning appr…
YOLOv4: Optimal Speed and Accuracy of Object Detection
Alexey Bochkovskiy, Chien-Yao Wang, Hong-Yuan Mark Liao
There are a huge number of features which are said to improve Convolutional Neural Network (CNN) accuracy. Practical testing of combinations of such features on large datasets, and…
CSPNet: A New Backbone that can Enhance Learning Capability of CNN
Chien-Yao Wang, Hong-Yuan Mark Liao, I-Hau Yeh +3
Neural networks have enabled state-of-the-art approaches to achieve incredible results on computer vision tasks such as object detection. However, such success greatly relies on co…
Automatic Image Cropping for Visual Aesthetic Enhancement Using Deep Neural Networks and Cascaded Regression
Guanjun Guo, Hanzi Wang, Chunhua Shen +2
Despite recent progress, computational visual aesthetic is still challenging. Image cropping, which refers to the removal of unwanted scene areas, is an important step to improve t…
Hierarchical Cross Network for Person Re-identification
Huan-Cheng Hsu, Ching-Hang Chen, Hsiao-Rong Tyan +1
Person re-identification (person re-ID) aims at matching target person(s) grabbed from different and non-overlapping camera views. It plays an important role for public safety and…