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Dipam Goswami
Dipam Goswami
Computer Vision Center, Universitat Autonoma de Barcelona
Verified email at cvc.uab.es - Homepage
Title
Cited by
Cited by
Year
Deep learning-based defect classification and detection in SEM images
B Dey, D Goswami, S Halder, K Khalil, P Leray, MA Bayoumi
Metrology, Inspection, and Process Control XXXVI, PC120530Y, 2022
212022
Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation
D Goswami, R Schuster, J van de Weijer, D Stricker
Winter Conference on Applications of Computer Vision (WACV), 2023
102023
Augmented Box Replay: Overcoming Foreground Shift for Incremental Object Detection
Y Liu, Y Cong, D Goswami, X Liu, J van de Weijer
International Conference on Computer Vision (ICCV), 2023
8*2023
Urine microscopic image dataset
D Goswami, HO Aggrawal, R Gupta, V Agarwal
arXiv preprint arXiv:2111.10374, 2021
82021
FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning
D Goswami, Y Liu, B Twardowski, J van de Weijer
Neural Information Processing Systems (NeurIPS), 2023
42023
Graph-based approach for enumerating floorplans based on users specifications
K Shekhawat, RN Jain, S Bisht, A Kondaveeti, D Goswami
AI EDAM 35 (4), 438-459, 2021
22021
Cell Detection and Classification from Urine Sediment Microscopic Images
D Goswami, H Aggrawal, V Agarwal
1
Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained Vision Transformers
D Goswami, B Twardowski, J van de Weijer
CLVision Workshop, CVPR, 2024
2024
Technical Report for ICCV 2023 Visual Continual Learning Challenge: Continuous Test-time Adaptation for Semantic Segmentation
D Sójka, Y Liu, D Goswami, S Cygert, B Twardowski, J van de Weijer
Visual Continual Learning Workshop, ICCV, 2023
2023
Bounding Box Priors for Cell Detection with Point Annotations
HO Aggrawal, D Goswami, V Agarwal
IEEE International Symposium on Biomedical Imaging (ISBI), 2023
2023
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