Goswami, Dipam

7 publications

NeurIPS 2025 Covariances for Free: Exploiting Mean Distributions for Training-Free Federated Learning Dipam Goswami, Simone Magistri, Kai Wang, Bartłomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer

CVPRW 2024 Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-Trained Vision Transformers Dipam Goswami, Bartlomiej Twardowski, Joost van de Weijer

ECCV 2024 Exemplar-Free Continual Representation Learning via Learnable Drift Compensation Alex Gomez-Villa, Dipam Goswami, Kai Wang, Andy Bagdanov, Bartlomiej Twardowski, Joost van de Weijer

CVPR 2024 Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning Dipam Goswami, Albin Soutif-Cormerais, Yuyang Liu, Sandesh Kamath, Bart?omiej Twardowski, Joost van de Weijer

WACV 2023 Attribution-Aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation Dipam Goswami, René Schuster, Joost van de Weijer, Didier Stricker

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

NeurIPS 2023 FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning Dipam Goswami, Yuyang Liu, Bartłomiej Twardowski, Joost van de Weijer