Research output per year
Research output per year
Fingerprint
Fingerprints are formed from scientific publications and create an index of weighted keyword concepts for each individual researcher.
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Deep learning classification of large-scale point clouds: A case study on cuneiform tablets
Hagelskjær, F., 2022, 2022 IEEE International Conference on Image Processing (ICIP). IEEE, p. 826-830 (International Conference on Image Processing. Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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In-Hand Pose Estimation and Pin Inspection for Insertion of Through-Hole Components
Hagelskjær, F. & Kraft, D., 2022, 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE). IEEE, p. 382-389 (IEEE International Conference on Automation Science and Engineering, Vol. 2022-August).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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ParaPose: Parameter and Domain Randomization Optimization for Pose Estimation using Synthetic Data
Hagelskjær, F. & Buch, A. G., 2022, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE: IEEE, p. 6788-6795 (I E E E International Conference on Intelligent Robots and Systems. Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Towards Flexible PCB Assembly Using Simulation-Based Optimization
Mathiesen, S. F., Sørensen, L. C., Iversen, T. M., Hagelskjær, F. & Kraft, D., 2022, Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems - Proceedings of the 8th Changeable, Agile, Reconfigurable and Virtual Production Conference CARV 2021 and 10th World Mass Customization and Personalization Conference MCPC 2021. Andersen, A-L., Andersen, R., Brunoe, T. D., Larsen, M. S. S., Nielsen, K., Napoleone, A. & Kjeldgaard, S. (eds.). Springer, p. 166-173 (Lecture Notes in Mechanical Engineering).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Bridging the Reality Gap for Pose Estimation Networks using Sensor-Based Domain Randomization
Hagelskjær, F. & Buch, A. G., 2021, 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW). IEEE, p. 935-944Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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