Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers

1 code implementation • CVPR 2019 • Zhen He, Jian Li, Daxue Liu, Hangen He, David Barber

To achieve both label-free and end-to-end learning of MOT, we propose a Tracking-by-Animation framework, where a differentiable neural model first tracks objects from input frames and then animates these objects into reconstructed frames.

Multi-Object Tracking Online Multi-Object Tracking

Wider and Deeper, Cheaper and Faster: Tensorized LSTMs for Sequence Learning

no code implementations • NeurIPS 2017 • Zhen He, Shao-Bing Gao, Liang Xiao, Daxue Liu, Hangen He, David Barber

The capacity of an LSTM network can be increased by widening and adding layers.

Light Cascaded Convolutional Neural Networks for Accurate Player Detection

no code implementations • 29 Sep 2017 • Keyu Lu, Jianhui Chen, James J. Little, Hangen He

Vision based player detection is important in sports applications.

General Classification

Generalized Haar Filter based Deep Networks for Real-Time Object Detection in Traffic Scene

no code implementations • 30 Oct 2016 • Keyu Lu, Jian Li, Xiangjing An, Hangen He

This paper presents a generalized Haar filter based deep network which is suitable for the object detection tasks in traffic scene.

Object object-detection +2

Visual Saliency Based on Scale-Space Analysis in the Frequency Domain

no code implementations • 6 May 2016 • Jian Li, Martin Levine, Xiangjing An, Xin Xu, Hangen He

First, we consider saliency detection as a frequency domain analysis problem.

Video Saliency Detection