86 citations · 294 across the 26 of their papers we have counts for
8 papers · 1 filter
Efficient Golf Ball Detection and Tracking Based on Convolutional Neural Networks and Kalman Filter
Tianxiao Zhang, Xiaohan Zhang, Yiju Yang +2
This paper focuses on the problem of online golf ball detection and tracking from image sequences. An efficient real-time approach is proposed by exploiting convolutional neural ne…
Stereo Frustums: A Siamese Pipeline for 3D Object Detection
Xi Mo, Usman Sajid, Guanghui Wang
The paper proposes a light-weighted stereo frustums matching module for 3D objection detection. The proposed framework takes advantage of a high-performance 2D detector and a point…
Deep Feature Augmentation for Occluded Image Classification
Feng Cen, Xiaoyu Zhao, Wuzhuang Li +1
Due to the difficulty in acquiring massive task-specific occluded images, the classification of occluded images with deep convolutional neural networks (CNNs) remains highly challe…
Why Layer-Wise Learning is Hard to Scale-up and a Possible Solution via Accelerated Downsampling
Wenchi Ma, Miao Yu, Kaidong Li +1
Layer-wise learning, as an alternative to global back-propagation, is easy to interpret, analyze, and it is memory efficient. Recent studies demonstrate that layer-wise learning ca…
Multi-Resolution Fusion and Multi-scale Input Priors Based Crowd Counting
Usman Sajid, Wenchi Ma, Guanghui Wang
Crowd counting in still images is a challenging problem in practice due to huge crowd-density variations, large perspective changes, severe occlusion, and variable lighting conditi…
Classification of Noncoding RNA Elements Using Deep Convolutional Neural Networks
Brian McClannahan, Krushi Patel, Usman Sajid +2
The paper proposes to employ deep convolutional neural networks (CNNs) to classify noncoding RNA (ncRNA) sequences. To this end, we first propose an efficient approach to convert t…
Location-Aware Box Reasoning for Anchor-Based Single-Shot Object Detection
Wenchi Ma, Kaidong Li, Guanghui Wang
In the majority of object detection frameworks, the confidence of instance classification is used as the quality criterion of predicted bounding boxes, like the confidence-based ra…
A Comparative Study on Polyp Classification using Convolutional Neural Networks
Krushi Patel, Kaidong Li, Ke Tao +4
Colorectal cancer is the third most common cancer diagnosed in both men and women in the United States. Most colorectal cancers start as a growth on the inner lining of the colon o…