activity
20152022
most citedCombining Local Appearance and Holistic View: Dual-Source Deep Neural Networks for Human Pose Estimation

90 citations · 98 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI20222 cited

Scenario-based Multi-product Advertising Copywriting Generation for E-Commerce

Xueying Zhang, Kai Shen, Chi Zhang +5

In this paper, we proposed an automatic Scenario-based Multi-product Advertising Copywriting Generation system (SMPACG) for E-Commerce, which has been deployed on a leading Chinese…

cs.CV2019

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…

cs.CV2018

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…

cs.CV20176 cited

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…

cs.CV201590 cited

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…