Interactive Editing of Large Point Clouds. - Michael Wand 001; Alexander Berner; Martin Bokeloh; Arno Fleck; Mark Hoffmann; Philipp Jenke; Benjamin Maier; Dirk Staneker; Andreas Schilling 001 (PBG@Eurographics, 2007)

Processing and interactive editing of huge point clouds from 3D scanners. - Michael Wand 001; Alexander Berner; Martin Bokeloh; Philipp Jenke; Arno Fleck; Mark Hoffmann; Benjamin Maier; Dirk Staneker; Andreas Schilling 001; Hans-Peter Seidel (Comput. Graph., 2008)

Image-Based Identification of Plant Species Using a Model-Free Approach and Active Learning. - Jonatan Grimm; Mark Hoffmann; Ben C. Stöver; Kai F. Müller; Volker Steinhage (KI, 2016)

Developing a New Storage Format and a Warp-Based SpMV Kernel for Configuration Interaction Sparse Matrices on the GPU. - Mohammed Mahmoud; Mark Hoffmann; Hassan Reza (Comput., 2018)

Vision-Based Estimation of Driving Energy for Planetary Rovers Using Deep Learning and Terramechanics. - Shoya Higa; Yumi Iwashita; Kyohei Otsu; Masahiro Ono; Olivier Lamarre; Annie Didier; Mark Hoffmann (IEEE Robotics Autom. Lett., 2019)

Scheduling the NASA Deep Space Network with Deep Reinforcement Learning. - Edwin Goh; Hamsa Shwetha Venkataram; Mark Hoffmann; Mark D. Johnston; Brian Wilson (CoRR, 2021)

Physics-Informed Neural Networks for Quantum Wavefunctions. - Istiak Mahmud; Ayush Asthana; Mark Hoffmann; Ahmeb Abdelhadi (ICCA, 2024)

Robot-as-a-Service as a New Paradigm in Precision Farming. - Annalisa Milella; Stefan Rilling; Arianna Rana; Rocco Galati; Antonio Petitti; Mark Hoffmann; Jacob Livin Stanly; Giulio Reina (IEEE Access, 2024)

Leveraging Deep Learning for High-Resolution Optical Satellite Imagery From Low-Cost Small Satellite Platforms. - Valentino Constantinou; Mark Hoffmann; Matthew Paterson; Ali Mezher; Brian Pak; Alexander Pertica; Emily Milne (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)