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ORCIDDipam Goswami
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2020 – today
- 2024
[c7]Dipam Goswami, Bartlomiej Twardowski, Joost van de Weijer:
Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained Vision Transformers. CVPR Workshops 2024: 4075-4084- [c6]Dipam Goswami, Albin Soutif-Cormerais, Yuyang Liu, Sandesh Kamath, Bartlomiej Twardowski, Joost van de Weijer:
Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning. CVPR 2024: 28525-28534 - [c5]Alex Gomez-Villa, Dipam Goswami, Kai Wang, Andrew D. Bagdanov, Bartlomiej Twardowski, Joost van de Weijer:
Exemplar-Free Continual Representation Learning via Learnable Drift Compensation. ECCV (7) 2024: 473-490 - [i11]Dipam Goswami, Bartlomiej Twardowski, Joost van de Weijer:
Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained Vision Transformers. CoRR abs/2404.06622 (2024) - [i10]Dipam Goswami, Albin Soutif-Cormerais, Yuyang Liu, Sandesh Kamath, Bartlomiej Twardowski, Joost van de Weijer:
Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning. CoRR abs/2405.19074 (2024) - [i9]Alex Gomez-Villa, Dipam Goswami, Kai Wang, Andrew D. Bagdanov, Bartlomiej Twardowski, Joost van de Weijer:
Exemplar-free Continual Representation Learning via Learnable Drift Compensation. CoRR abs/2407.08536 (2024) - [i8]Dipam Goswami, Simone Magistri, Kai Wang, Bartlomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer:
Covariances for Free: Exploiting Mean Distributions for Federated Learning with Pre-Trained Models. CoRR abs/2412.14326 (2024) - 2023
- [c4]Yuyang Liu, Yang Cong, Dipam Goswami, Xialei Liu, Joost van de Weijer:
Augmented Box Replay: Overcoming Foreground Shift for Incremental Object Detection. ICCV 2023: 11333-11343 - [c3]Hari Om Aggrawal, Dipam Goswami, Vinti Agarwal:
Bounding Box Priors for Cell Detection with Point Annotations. ISBI 2023: 1-4 - [c2]Dipam Goswami, Yuyang Liu, Bartlomiej Twardowski, Joost van de Weijer:
FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning. NeurIPS 2023 - [c1]Dipam Goswami, René Schuster, Joost van de Weijer
, Didier Stricker:
Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation. WACV 2023: 3194-3203 - [i7]Yuyang Liu, Yang Cong, Dipam Goswami, Xialei Liu, Joost van de Weijer:
Augmented Box Replay: Overcoming Foreground Shift for Incremental Object Detection. CoRR abs/2307.12427 (2023) - [i6]Dipam Goswami, Yuyang Liu, Bartlomiej Twardowski, Joost van de Weijer:
FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning. CoRR abs/2309.14062 (2023) - [i5]Damian Sójka, Yuyang Liu, Dipam Goswami, Sebastian Cygert, Bartlomiej Twardowski, Joost van de Weijer:
Technical Report for ICCV 2023 Visual Continual Learning Challenge: Continuous Test-time Adaptation for Semantic Segmentation. CoRR abs/2310.13533 (2023) - 2022
- [i4]Bappaditya Dey, Dipam Goswami, Sandip Halder, Kasem Khalil, Philippe Leray, Magdy A. Bayoumi:
Deep Learning-Based Defect Classification and Detection in SEM Images. CoRR abs/2206.13505 (2022) - [i3]Dipam Goswami, René Schuster, Joost van de Weijer, Didier Stricker:
Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation. CoRR abs/2210.07207 (2022) - [i2]Hari Om Aggrawal, Dipam Goswami, Vinti Agarwal:
Bounding Box Priors for Cell Detection with Point Annotations. CoRR abs/2211.06104 (2022) - 2021
- [j1]Krishnendra Shekhawat, Rahil N. Jain, Sumit Bisht, Aishwarya Kondaveeti, Dipam Goswami:
Graph-based approach for enumerating floorplans based on users specifications. Artif. Intell. Eng. Des. Anal. Manuf. 35(4): 438-459 (2021) - [i1]Dipam Goswami, Hari Om Aggrawal, Rajiv Gupta, Vinti Agarwal:
Urine Microscopic Image Dataset. CoRR abs/2111.10374 (2021)
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