Detection- and Trajectory-Level Exclusion in Multiple Object Tracking. - Anton Milan; Konrad Schindler; Stefan Roth 001 (CVPR, 2013)

Challenges of Ground Truth Evaluation of Multi-target Tracking. - Anton Milan; Konrad Schindler; Stefan Roth 001 (CVPR Workshops, 2013)

Learning People Detectors for Tracking in Crowded Scenes. - Siyu Tang 001; Mykhaylo Andriluka; Anton Milan; Konrad Schindler; Stefan Roth 001; Bernt Schiele (ICCV, 2013)

Energy minimization for multiple object tracking. - Anton Milan (2013)

Privacy Preserving Multi-target Tracking. - Anton Milan; Stefan Roth 001; Konrad Schindler; Mineichi Kudo (ACCV Workshops (3), 2014)

Improving Global Multi-target Tracking with Local Updates. - Anton Milan; Rikke Gade; Anthony R. Dick; Thomas B. Moeslund; Ian D. Reid 001 (ECCV Workshops (3), 2014)

Continuous Energy Minimization for Multitarget Tracking. - Anton Milan; Stefan Roth 001; Konrad Schindler (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Joint tracking and segmentation of multiple targets. - Anton Milan; Laura Leal-Taixé; Konrad Schindler; Ian D. Reid 001 (CVPR, 2015)

Joint Probabilistic Data Association Revisited. - Seyed Hamid Rezatofighi; Anton Milan; Zhen Zhang 008; Qinfeng Shi; Anthony R. Dick; Ian D. Reid 001 (ICCV, 2015)

MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking. - Laura Leal-Taixé; Anton Milan; Ian D. Reid 001; Stefan Roth 001; Konrad Schindler (CoRR, 2015)

Joint Probabilistic Matching Using m-Best Solutions. - Seyed Hamid Rezatofighi; Anton Milan; Zhen Zhang 008; Qinfeng Shi; Anthony R. Dick; Ian D. Reid 001 (CVPR, 2016)

Pose-Track: Joint Multi-Person Pose Estimation and Tracking. - Umar Iqbal 001; Anton Milan; Juergen Gall (CoRR, 2016)

MOT16: A Benchmark for Multi-Object Tracking. - Anton Milan; Laura Leal-Taixé; Ian D. Reid 001; Stefan Roth 001; Konrad Schindler (CoRR, 2016)

Multi-Target Tracking by Discrete-Continuous Energy Minimization. - Anton Milan; Konrad Schindler; Stefan Roth 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Online Multi-Target Tracking Using Recurrent Neural Networks. - Anton Milan; Seyed Hamid Rezatofighi; Anthony R. Dick; Ian D. Reid 001; Konrad Schindler (AAAI, 2017)

Data-Driven Approximations to NP-Hard Problems. - Anton Milan; Seyed Hamid Rezatofighi; Ravi Garg; Anthony R. Dick; Ian D. Reid 001 (AAAI, 2017)

PoseTrack: Joint Multi-person Pose Estimation and Tracking. - Umar Iqbal 001; Anton Milan; Juergen Gall (CVPR, 2017)

RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation. - Guosheng Lin; Anton Milan; Chunhua Shen; Ian D. Reid 001 (CVPR, 2017)

DeepSetNet: Predicting Sets with Deep Neural Networks. - Seyed Hamid Rezatofighi; Vijay Kumar B. G; Anton Milan; Ehsan Abbasnejad; Anthony R. Dick; Ian D. Reid 001 (ICCV, 2017)

NimbRo picking: Versatile part handling for warehouse automation. - Max Schwarz; Anton Milan; Christian Lenz; Aura Munoz; Arul Selvam Periyasamy; Michael Schreiber; Sebastian Schüller; Sven Behnke (ICRA, 2017)

Tracking the Trackers: An Analysis of the State of the Art in Multiple Object Tracking. - Laura Leal-Taixé; Anton Milan; Konrad Schindler; Daniel Cremers; Ian D. Reid 001; Stefan Roth 001 (CoRR, 2017)

Cartman: Cartesian Manipulator for Warehouse Automation in Cluttered Environments. - M. McTaggart; Douglas Morrison; Adam W. Tow; R. Smith; Norton Kelly-Boxall; Anton Milan; Trung Pham; Zheyu Zhuang; Jürgen Leitner; Ian David Reid; Peter Corke; Christopher F. Lehnert (CoRR, 2017)

Design of a Multi-Modal End-Effector and Grasping System: How Integrated Design helped win the Amazon Robotics Challenge. - Sean Wade-McCue; N. Kelly-Boxall; M. McTaggart; Douglas Morrison; Adam W. Tow; J. Erskine; R. Grinover; A. Gurman; T. Hunn; D. Lee; Anton Milan; Trung Pham; et al. (CoRR, 2017)

Joint Learning of Set Cardinality and State Distribution. - Seyed Hamid Rezatofighi; Anton Milan; Qinfeng Shi; Anthony R. Dick; Ian D. Reid 001 (AAAI, 2018)

PoseTrack: A Benchmark for Human Pose Estimation and Tracking. - Mykhaylo Andriluka; Umar Iqbal 001; Eldar Insafutdinov; Leonid Pishchulin; Anton Milan; Juergen Gall; Bernt Schiele (CVPR, 2018)

Semantic Segmentation from Limited Training Data. - Anton Milan; Trung Pham; K. Vijay; Douglas Morrison; Adam W. Tow; L. Liu; J. Erskine; R. Grinover; A. Gurman; T. Hunn; N. Kelly-Boxall; D. Lee; et al. (ICRA, 2018)

Cartman: The Low-Cost Cartesian Manipulator that Won the Amazon Robotics Challenge. - Douglas Morrison; Adam W. Tow; M. McTaggart; R. Smith; N. Kelly-Boxall; Sean Wade-McCue; J. Erskine; R. Grinover; A. Gurman; T. Hunn; D. Lee; Anton Milan; et al. (ICRA, 2018)

RGB-D object detection and semantic segmentation for autonomous manipulation in clutter. - Max Schwarz; Anton Milan; Arul Selvam Periyasamy; Sven Behnke (Int. J. Robotics Res., 2018)

CVPR19 Tracking and Detection Challenge: How crowded can it get? - Patrick Dendorfer; Seyed Hamid Rezatofighi; Anton Milan; Javen Shi; Daniel Cremers; Ian D. Reid 001; Stefan Roth 001; Konrad Schindler; Laura Leal-Taixé (CoRR, 2019)

Learn to Predict Sets Using Feed-Forward Neural Networks. - Hamid Rezatofighi; Roman Kaskman; Farbod T. Motlagh; Qinfeng Shi; Anton Milan; Daniel Cremers; Laura Leal-Taixé; Ian D. Reid 001 (CoRR, 2020)

MOT20: A benchmark for multi object tracking in crowded scenes. - Patrick Dendorfer; Hamid Rezatofighi; Anton Milan; Javen Shi; Daniel Cremers; Ian D. Reid 001; Stefan Roth 001; Konrad Schindler; Laura Leal-Taixé (CoRR, 2020)

RefineNet: Multi-Path Refinement Networks for Dense Prediction. - Guosheng Lin; Fayao Liu; Anton Milan; Chunhua Shen; Ian D. Reid 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Multiple object tracking: A literature review. - Wenhan Luo; Junliang Xing; Anton Milan; Xiaoqin Zhang 002; Wei Liu 005; Tae-Kyun Kim 001 (Artif. Intell., 2021)

MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking. - Patrick Dendorfer; Aljosa Osep; Anton Milan; Konrad Schindler; Daniel Cremers; Ian Reid 001; Stefan Roth 001; Laura Leal-Taixé (Int. J. Comput. Vis., 2021)

Learn to Predict Sets Using Feed-Forward Neural Networks. - Hamid Rezatofighi; Tianyu Zhu 001; Roman Kaskman; Farbod T. Motlagh; Javen Qinfeng Shi; Anton Milan; Daniel Cremers; Laura Leal-Taixé; Ian D. Reid 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Kaputt: A Large-Scale Dataset for Visual Defect Detection. - Sebastian Höfer; Dorian Henning; Artemij Amiranashvili; Douglas Morrison; Mariliza Tzes; Ingmar Posner; Marc Matvienko; Alessandro Rennola; Anton Milan (CoRR, 2025)