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Vivek Chavan
Vivek Chavan
在 rwth-aachen.de 的电子邮件经过验证
标题
引用次数
引用次数
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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
122017
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
82023
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
32023
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
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