Reinforcement Learning for Visual Object Detection. - Stefan Mathe; Aleksis Pirinen; Cristian Sminchisescu (CVPR, 2016)

Deep Reinforcement Learning of Region Proposal Networks for Object Detection. - Aleksis Pirinen; Cristian Sminchisescu (CVPR, 2018)

Domes to Drones: Self-Supervised Active Triangulation for 3D Human Pose Reconstruction. - Aleksis Pirinen; Erik Gärtner; Cristian Sminchisescu (NeurIPS, 2019)

Exact Clustering of Weighted Graphs via Semidefinite Programming. - Aleksis Pirinen; Brendan P. W. Ames (J. Mach. Learn. Res., 2019)

Deep Reinforcement Learning for Active Human Pose Estimation. - Erik Gärtner; Aleksis Pirinen; Cristian Sminchisescu (AAAI, 2020)

Semantic Synthesis of Pedestrian Locomotion. - Maria Priisalu; Ciprian Paduraru; Aleksis Pirinen; Cristian Sminchisescu (ACCV (2), 2020)

Embodied Visual Active Learning for Semantic Segmentation. - David Nilsson; Aleksis Pirinen; Erik Gärtner; Cristian Sminchisescu (AAAI, 2021)

Generating Scenarios with Diverse Pedestrian Behaviors for Autonomous Vehicle Testing. - Maria Priisalu; Aleksis Pirinen; Ciprian Paduraru; Cristian Sminchisescu (CoRL, 2021)

Embodied Learning for Lifelong Visual Perception. - David Nilsson; Aleksis Pirinen; Erik Gärtner; Cristian Sminchisescu (CoRR, 2021)

Reinforcement Learning for Active Visual Perception. - Aleksis Pirinen (2021)

Few-Shot Bioacoustic Event Detection Using an Event-Length Adapted Ensemble of Prototypical Networks. - John Martinsson; Martin Willbo; Aleksis Pirinen; Olof Mogren; Maria Sandsten (DCASE, 2022)

Aerial View Goal Localization with Reinforcement Learning. - Aleksis Pirinen; Anton Samuelsson; John Backsund; Kalle Åström (CoRR, 2022)

Fully Convolutional Networks for Dense Water Flow Intensity Prediction in Swedish Catchment Areas. - Aleksis Pirinen; Olof Mogren; Mårten Västerdal (SAIS, 2023)

Aerial View Localization with Reinforcement Learning: Towards Emulating Search-and-Rescue. - Aleksis Pirinen; Anton Samuelsson; John Backsund; Kalle Åström (SAIS, 2023)

Creating and Benchmarking a Synthetic Dataset for Cloud Optical Thickness Estimation. - Aleksis Pirinen; Nosheen Abid; Nuria Agues Paszkowsky; Thomas Ohlson Timoudas; Ronald Scheirer; Chiara Ceccobello; György Kovács 001; Anders Persson (CoRR, 2023)

GOMAA-Geo: GOal Modality Agnostic Active Geo-localization. - Anindya Sarkar; Srikumar Sastry; Aleksis Pirinen; Chongjie Zhang; Nathan Jacobs; Yevgeniy Vorobeychik (NeurIPS, 2024)

Impacts of Color and Texture Distortions on Earth Observation Data in Deep Learning. - Martin Willbo; Aleksis Pirinen; John Martinsson; Edvin Listo Zec; Olof Mogren; Mikael Nilsson (CoRR, 2024)

Flexible SE(2) graph neural networks with applications to PDE surrogates. - Maria Bånkestad; Olof Mogren; Aleksis Pirinen (CoRR, 2024)

Creating and Leveraging a Synthetic Dataset of Cloud Optical Thickness Measures for Cloud Detection in MSI. - Aleksis Pirinen; Nosheen Abid; Nuria Agues Paszkowsky; Thomas Ohlson Timoudas; Ronald Scheirer; Chiara Ceccobello; György Kovács 001; Anders Persson (Remote. Sens., 2024)