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Maximilian Gilles
Maximilian Gilles
Institute for Material Handling and Logistics, Karlsruhe Institute of Technology (KIT)
Zweryfikowany adres z kit.edu
Tytuł
Cytowane przez
Cytowane przez
Rok
MetaGraspNet: A Large-Scale Benchmark Dataset for Scene-Aware Ambidextrous Bin Picking via Physics-based Metaverse Synthesis
M Gilles, Y Chen, TR Winter, EZ Zeng, A Wong
2022 IEEE 18th International Conference on Automation Science and …, 2022
252022
Metagraspnetv2: All-in-one dataset enabling fast and reliable robotic bin picking via object relationship reasoning and dexterous grasping
M Gilles, Y Chen, EZ Zeng, Y Wu, K Furmans, A Wong, R Rayyes
IEEE Transactions on Automation Science and Engineering 21 (3), 2302-2320, 2023
152023
MetaGraspNet_v0: A Large-Scale Benchmark Dataset for Vision-driven Robotic Grasping via Physics-based Metaverse Synthesis
Y Chen, EZ Zeng, M Gilles, A Wong
arXiv preprint arXiv:2112.14663, 2021
112021
Unsupervised deep learning based ego motion estimation with a downward facing camera
M Gilles, S Ibrahimpasic
The Visual Computer 39 (3), 785-798, 2023
102023
Structure SLAM with points, planes and objects
B Zhou, M Gilles, Y Meng
Advanced Robotics 36 (20), 1060-1075, 2022
62022
PiRo-Ein autonomes Kommissioniersystem für inhomogene, chaotische Lager
D Colling, J Dziedzitz, P Hopfgarten, K Markert, K Neubehler, F Eberle, ...
Logistics Journal: Proceedings 2017 (10), 2017
62017
vMF-Contact: Uncertainty-aware Evidential Learning for Probabilistic Contact-grasp in Noisy Clutter
Y Shi, E Welte, M Gilles, R Rayyes
arXiv preprint arXiv:2411.03591, 2024
2024
Rethinking Resource Competition in Multi-Task Learning: from Shared Parameters to Shared Representation
D Mao, Y Chen, Y Wu, M Gilles, A Wong
IEEE Access, 2024
2024
Robust Analysis of Multi-Task Learning Efficiency: New Benchmarks on Light-Weighed Backbones and Effective Measurement of Multi-Task Learning Challenges by Feature Disentanglement
D Mao, Y Chen, Y Wu, M Gilles, A Wong
arXiv preprint arXiv:2402.03557, 2024
2024
Robust Analysis of Multi-Task Learning on a Complex Vision System
D Mao, Y Chen, Y Wu, M Gilles, A Wong
arXiv e-prints, arXiv: 2402.03557, 2024
2024
MMRNet: Improving Reliability for Multimodal Object Detection and Segmentation for Bin Picking via Multimodal Redundancy
Y Chen, H Gunraj, EZ Zeng, R Meyer, M Gilles, A Wong
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
2023
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