1.4k citations · 4.7k across the 67 of their papers we have counts for
4 papers · 2 filters
Classification With an Edge: Improving Semantic Image Segmentation with Boundary Detection
Dimitrios Marmanis, Konrad Schindler, Jan Dirk Wegner +3
We present an end-to-end trainable deep convolutional neural network (DCNN) for semantic segmentation with built-in awareness of semantically meaningful boundaries. Semantic segmen…
Tracking with multi-level features
Roberto Henschel, Laura Leal-Taixé, Bodo Rosenhahn +1
We present a novel formulation of the multiple object tracking problem which integrates low and mid-level features. In particular, we formulate the tracking problem as a quadratic…
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…