Determining Dendrometry Using Drone Scouting, Convolutional Neural Networks and Point Clouds. - Kim Jensen; Oskar Kondrup Krogh; Marius Willemoes Jorgensen; Daniel Lehotský; Anton Bock Andersen; Ernest Porqueras; Jens Aksel S. Sondergaard; Rikke Gade (CVPR Workshops, 2021)

Learning to Segment Object Affordances on Synthetic Data for Task-oriented Robotic Handovers. - Albert Christensen; Daniel Lehotský; Marius W. Jørgensen; Dimitrios Chrysostomou (BMVC, 2022)

Presenting a Novel Pipeline for Performance Comparison of V-PCC and G-PCC Point Cloud Compression Methods on Datasets with Varying Properties. - Albert Christensen; Daniel Lehotský; Mathias Krogh Poulsen; Thomas B. Moeslund (VISIGRAPP (4: VISAPP), 2022)

Optimizing Robot-to-Human Object Handovers using Vision-based Affordance Information. - Daniel Lehotský; Albert Christensen; Dimitrios Chrysostomou (IST, 2023)

BrackishMOT: The Brackish Multi-Object Tracking Dataset. - Malte Pedersen; Daniel Lehotský; Ivan A. Nikolov; Thomas B. Moeslund (SCIA (1), 2023)

AutoFish: Dataset and Benchmark for Fine-Grained Analysis of Fish. - Stefan Hein Bengtson; Daniel Lehotský; Vasiliki Ismiroglou; Niels Madsen; Thomas B. Moeslund; Malte Pedersen (WACV (Workshops), 2025)