90 citations · 120 across the 10 of their papers we have counts for
6 papers · 1 filter
Automatic Generation of Product-Image Sequence in E-commerce
Xiaochuan Fan, Chi Zhang, Yong Yang +6
Product images are essential for providing desirable user experience in an e-commerce platform. For a platform with billions of products, it is extremely time-costly and labor-expe…
A Top-down Approach to Articulated Human Pose Estimation and Tracking
Guanghan Ning, Ping Liu, Xiaochuan Fan +1
Both the tasks of multi-person human pose estimation and pose tracking in videos are quite challenging. Existing methods can be categorized into two groups: top-down and bottom-up…
Object Detection with Mask-based Feature Encoding
Xiaochuan Fan, Hao Guo, Kang Zheng +2
Region-based Convolutional Neural Networks (R-CNNs) have achieved great success in the field of object detection. The existing R-CNNs usually divide a Region-of-Interest (ROI) into…
Detecting Small Signs from Large Images
Zibo Meng, Xiaochuan Fan, Xin Chen +2
In the past decade, Convolutional Neural Networks (CNNs) have been demonstrated successful for object detections. However, the size of network input is limited by the amount of mem…
Co-interest Person Detection from Multiple Wearable Camera Videos
Yuewei Lin, Kareem Ezzeldeen, Youjie Zhou +4
Wearable cameras, such as Google Glass and Go Pro, enable video data collection over larger areas and from different views. In this paper, we tackle a new problem of locating the c…
Combining Local Appearance and Holistic View: Dual-Source Deep Neural Networks for Human Pose Estimation
Xiaochuan Fan, Kang Zheng, Yuewei Lin +1
We propose a new learning-based method for estimating 2D human pose from a single image, using Dual-Source Deep Convolutional Neural Networks (DS-CNN). Recently, many methods have…