Graph-based approach for enumerating floorplans based on users specifications. - Krishnendra Shekhawat; Rahil N. Jain; Sumit Bisht; Aishwarya Kondaveeti; Dipam Goswami (Artif. Intell. Eng. Des. Anal. Manuf., 2021)

Urine Microscopic Image Dataset. - Dipam Goswami; Hari Om Aggrawal; Rajiv Gupta; Vinti Agarwal (CoRR, 2021)

Deep Learning-Based Defect Classification and Detection in SEM Images. - Bappaditya Dey; Dipam Goswami; Sandip Halder; Kasem Khalil; Philippe Leray 002; Magdy A. Bayoumi (CoRR, 2022)

Augmented Box Replay: Overcoming Foreground Shift for Incremental Object Detection. - Yuyang Liu; Yang Cong; Dipam Goswami; Xialei Liu; Joost van de Weijer 001 (ICCV, 2023)

Bounding Box Priors for Cell Detection with Point Annotations. - Hari Om Aggrawal; Dipam Goswami; Vinti Agarwal (ISBI, 2023)

FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning. - Dipam Goswami; Yuyang Liu; Bartlomiej Twardowski; Joost van de Weijer 001 (NeurIPS, 2023)

Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation. - Dipam Goswami; René Schuster; Joost van de Weijer 001; Didier Stricker (WACV, 2023)

Technical Report for ICCV 2023 Visual Continual Learning Challenge: Continuous Test-time Adaptation for Semantic Segmentation. - Damian Sójka; Yuyang Liu; Dipam Goswami; Sebastian Cygert; Bartlomiej Twardowski; Joost van de Weijer 001 (CoRR, 2023)

Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning. - Dipam Goswami; Albin Soutif-Cormerais; Yuyang Liu; Sandesh Kamath; Bartlomiej Twardowski; Joost van de Weijer 001 (CVPR, 2024)

Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained Vision Transformers. - Dipam Goswami; Bartlomiej Twardowski; Joost van de Weijer 001 (CVPR Workshops, 2024)

Exemplar-Free Continual Representation Learning via Learnable Drift Compensation. - Alex Gomez-Villa; Dipam Goswami; Kai Wang 060; Andrew D. Bagdanov; Bartlomiej Twardowski; Joost van de Weijer 001 (ECCV (7), 2024)

Covariances for Free: Exploiting Mean Distributions for Federated Learning with Pre-Trained Models. - Dipam Goswami; Simone Magistri; Kai Wang 060; Bartlomiej Twardowski; Andrew D. Bagdanov; Joost van de Weijer 001 (CoRR, 2024)

Query Drift Compensation: Enabling Compatibility in Continual Learning of Retrieval Embedding Models. - Dipam Goswami; Liying Wang; Bartlomiej Twardowski; Joost van de Weijer 001 (CoRR, 2025)