Water ingress analysis and splash protection evaluation for vehicle wading using non-classical CFD simulation P Khapane, V Chavan, U Ganeshwade SAE International Journal of Passenger Cars-Mechanical Systems 10 (2017-01 …, 2017 | 12 | 2017 |
Towards realistic evaluation of industrial continual learning scenarios with an emphasis on energy consumption and computational footprint V Chavan, P Koch, M Schlüter, C Briese Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 8 | 2023 |
Green incremental learning-Energy efficient ramp-up for AI-enhanced part recognition in reverse logistics M Schlüter, R Schimanek, P Koch, C Briese, V Chavan, P Bilge, F Dietrich, ... Procedia CIRP 116, 414-419, 2023 | 3 | 2023 |
On the Application of Egocentric Computer Vision to Industrial Scenarios V Chavan, O Heimann, J Krüger arXiv preprint arXiv:2406.07738, 2024 | | 2024 |
Active Data Collection and Management for Real-World Continual Learning via Pretrained Oracle V Chavan, P Koch, M Schlüter, C Briese, J Krüger Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
MVIP: A Dataset for Industrial Part Recognition P Koch, M Schlüter, C Briese, V Chavan Fraunhofer Fordatis, 2023 | | 2023 |
Image-Based Incremental Learning for Part Recognition of Used Automotive Cores in Reverse Logistics C Briese, V Chavan, M Schlueter, J Lehr, O Kroeger International Workshop on Autonomous Remanufacturing, 189-199, 2023 | | 2023 |
InVar-100: Industrial Objects in Varied Contexts Dataset J Lehr, V Chavan, P Koch, M Schlüter, C Briese | | 2023 |
Supplementary Material: Active Data Collection and Management for Real-World Continual Learning via Pretrained Oracle V Chavan, P Koch, M Schlüter, C Briese, J Krüger, IPK Fraunhofer | | |
Supplementary Material: Towards Realistic Evaluation of Industrial Continual Learning Scenarios with an Emphasis on Energy Consumption and Computational Footprint V Chavan, P Koch, M Schlüter, C Briese | | |