1.4k citations · 4.1k across the 14 of their papers we have counts for
5 papers · 1 filter
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
Guosheng Lin, Anton Milan, Chunhua Shen +1
Recently, very deep convolutional neural networks (CNNs) have shown outstanding performance in object recognition and have also been the first choice for dense classification probl…
DeepSetNet: Predicting Sets with Deep Neural Networks
S. Hamid Rezatofighi, Vijay Kumar B G, Anton Milan +3
This paper addresses the task of set prediction using deep learning. This is important because the output of many computer vision tasks, including image tagging and object detectio…
PoseTrack: Joint Multi-Person Pose Estimation and Tracking
Umar Iqbal, Anton Milan, Juergen Gall
In this work, we introduce the challenging problem of joint multi-person pose estimation and tracking of an unknown number of persons in unconstrained videos. Existing methods for…
Online Multi-Target Tracking Using Recurrent Neural Networks
Anton Milan, Seyed Hamid Rezatofighi, Anthony Dick +2
We present a novel approach to online multi-target tracking based on recurrent neural networks (RNNs). Tracking multiple objects in real-world scenes involves many challenges, incl…
MOT16: A Benchmark for Multi-Object Tracking
Anton Milan, Laura Leal-Taixe, Ian Reid +2
Standardized benchmarks are crucial for the majority of computer vision applications. Although leaderboards and ranking tables should not be over-claimed, benchmarks often provide…