Relating halftone dot quality to paper surface topography. - Pekka Kumpulainen; Marja Mettänen; Mikko Lauri; Heimo Ihalainen (Neural Comput. Appl., 2011)

Wireless Measurement of RFID IC Impedance. - Toni Björninen; Mikko Lauri; Leena Ukkonen; Risto Ritala; Atef Z. Elsherbeni; Lauri Sydänheimo (IEEE Trans. Instrum. Meas., 2011)

Planning for multiple measurement channels in a continuous-state POMDP. - Mikko Lauri; Risto Ritala (Ann. Math. Artif. Intell., 2013)

A mapping method tolerant to calibration and localization errors based on tilting 2D laser scanner. - Antti Kolu; Mikko Lauri; Mika Hyvonen; Reza Ghabcheloo; Kalevi Huhtala (ECC, 2015)

Optimal sensing via multi-armed bandit relaxations in mixed observability domains. - Mikko Lauri; Risto Ritala (ICRA, 2015)

Myopic Policy Bounds for Information Acquisition POMDPs. - Mikko Lauri; Nikolay Atanasov 001; George J. Pappas; Risto Ritala (CoRR, 2016)

Planning for robotic exploration based on forward simulation. - Mikko Lauri; Risto Ritala (Robotics Auton. Syst., 2016)

Sequential Decision Making under Uncertainty for Sensor Management in Mobile Robotics. - Mikko Lauri (2016)

Multi-robot active information gathering with periodic communication. - Mikko Lauri; Eero Heinänen; Simone Frintrop (ICRA, 2017)

Saliency-guided adaptive seeding for supervoxel segmentation. - Ge Gao; Mikko Lauri; Jianwei Zhang 001; Simone Frintrop (IROS, 2017)

Object Proposal Generation Applying the Distance Dependent Chinese Restaurant Process. - Mikko Lauri; Simone Frintrop (SCIA (1), 2017)

Meeting a deadline: shortest paths on stochastic directed acyclic graphs with information gathering. - Mikko Lauri; Aino Ropponen; Risto Ritala (Ann. Math. Artif. Intell., 2017)

Saliency-guided Adaptive Seeding for Supervoxel Segmentation. - Ge Gao; Mikko Lauri; Simone Frintrop (CoRR, 2017)

Occlusion Resistant Object Rotation Regression from Point Cloud Segments. - Ge Gao; Mikko Lauri; Jianwei Zhang 001; Simone Frintrop (ECCV Workshops (1), 2018)

Multi-label Object Attribute Classification using a Convolutional Neural Network. - Soubarna Banik; Mikko Lauri; Simone Frintrop (CoRR, 2018)

Information Gathering in Decentralized POMDPs by Policy Graph Improvement. - Mikko Lauri; Joni Pajarinen; Jan Peters 001 (AAMAS, 2019)

Explore, Approach, and Terminate: Evaluating Subtasks in Active Visual Object Search Based on Deep Reinforcement Learning. - Jan Fabian Schmid; Mikko Lauri; Simone Frintrop (IROS, 2019)

Creating Information-maximizing Natural Language Messages Through Image Captioning-Retrieval. - Fabian Karl; Mikko Lauri; Chris Biemann (KONVENS, 2019)

Distance Dependent Maximum Margin Dirichlet Process Mixture. - Quan Nguyen; Mikko Lauri; Simone Frintrop (PRICAI (2), 2019)

Improving mix-and-separate training in audio-visual sound source separation with an object prior. - Quan Nguyen; Julius Richter; Mikko Lauri; Timo Gerkmann; Simone Frintrop (ICPR, 2020)

6D Object Pose Regression via Supervised Learning on Point Clouds. - Ge Gao; Mikko Lauri; Yulong Wang; Xiaolin Hu 001; Jianwei Zhang 001; Simone Frintrop (ICRA, 2020)

Multi-agent active perception with prediction rewards. - Mikko Lauri; Frans A. Oliehoek (NeurIPS, 2020)

Multi-agent active information gathering in discrete and continuous-state decentralized POMDPs by policy graph improvement. - Mikko Lauri; Joni Pajarinen; Jan Peters 001 (Auton. Agents Multi Agent Syst., 2020)

Multi-Sensor Next-Best-View Planning as Matroid-Constrained Submodular Maximization. - Mikko Lauri; Joni Pajarinen; Jan Peters 001; Simone Frintrop (IEEE Robotics Autom. Lett., 2020)

CloudAAE: Learning 6D Object Pose Regression with On-line Data Synthesis on Point Clouds. - Ge Gao; Mikko Lauri; Xiaolin Hu 001; Jianwei Zhang 001; Simone Frintrop (ICRA, 2021)

Object Localization with Attribute Preference Based on Top-Down Attention. - Soubarna Banik; Mikko Lauri; Alois C. Knoll; Simone Frintrop (ICVS, 2021)

Realtime Optical Flow Estimation on Vein and Artery Ultrasound Sequences Based on Knowledge-Distillation. - Till Nicke; Laura Graf 001; Mikko Lauri; Sven Mischkewitz; Simone Frintrop; Mattias P. Heinrich (WBIR, 2022)

Multi-phase Fine-Tuning: A New Fine-Tuning Approach for Sign Language Recognition. - Noha A. Sarhan; Mikko Lauri; Simone Frintrop (Künstliche Intell., 2022)

Teacher Network Calibration Improves Cross-Quality Knowledge Distillation. - Pia Cuk; Robin Senge; Mikko Lauri; Simone Frintrop (CoRR, 2023)

Partially Observable Markov Decision Processes in Robotics: A Survey. - Mikko Lauri; David Hsu; Joni Pajarinen (IEEE Trans. Robotics, 2023)