Search Results for author: Guanghan Ning

Found 10 papers, 5 papers with code

Data Augmentation for Object Detection via Differentiable Neural Rendering

1 code implementation4 Mar 2021 Guanghan Ning, Guang Chen, Chaowei Tan, Si Luo, Liefeng Bo, Heng Huang

We propose a new offline data augmentation method for object detection, which semantically interpolates the training data with novel views.

Data Augmentation Neural Rendering +4

LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking

2 code implementations7 May 2019 Guanghan Ning, Heng Huang

To the best of our knowledge, this is the first paper to propose an online human pose tracking framework in a top-down fashion.

Pose Estimation Pose Tracking +1

A Top-down Approach to Articulated Human Pose Estimation and Tracking

no code implementations23 Jan 2019 Guanghan Ning, Ping Liu, Xiaochuan Fan, Chi Zhang

Both the tasks of multi-person human pose estimation and pose tracking in videos are quite challenging.

Pose Estimation Pose Tracking

Progressive Neural Networks for Image Classification

no code implementations25 Apr 2018 Zhi Zhang, Guanghan Ning, Yigang Cen, Yang Li, Zhiqun Zhao, Hao Sun, Zhihai He

The inference structures and computational complexity of existing deep neural networks, once trained, are fixed and remain the same for all test images.

Classification General Classification +1

Dual Path Networks for Multi-Person Human Pose Estimation

no code implementations27 Oct 2017 Guanghan Ning, Zhihai He

The task of multi-person human pose estimation in natural scenes is quite challenging.

Pose Estimation regression

Knowledge Projection for Deep Neural Networks

no code implementations26 Oct 2017 Zhi Zhang, Guanghan Ning, Zhihai He

In this paper, we will develop a new framework for training deep neural networks on datasets with limited labeled samples using cross-network knowledge projection which is able to improve the network performance while reducing the overall computational complexity significantly.

Knowledge-Guided Deep Fractal Neural Networks for Human Pose Estimation

1 code implementation5 May 2017 Guanghan Ning, Zhi Zhang, Zhihai He

Human pose estimation using deep neural networks aims to map input images with large variations into multiple body keypoints which must satisfy a set of geometric constraints and inter-dependency imposed by the human body model.

Pose Estimation

Spatially Supervised Recurrent Convolutional Neural Networks for Visual Object Tracking

2 code implementations19 Jul 2016 Guanghan Ning, Zhi Zhang, Chen Huang, Zhihai He, Xiaobo Ren, Haohong Wang

In this paper, we develop a new approach of spatially supervised recurrent convolutional neural networks for visual object tracking.

Binary Classification object-detection +3

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