Dipam Goswami

According to our database, Dipam Goswami authored at least 17 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Training data attribution in diffusion models via mirrored unlearning and noise-consistent skew.

Joan Serrà, Dipam Goswami, Fabio Morreale, Wei-Hsiang Liao, Yuki Mitsufuji

CoRR, May, 2026

Cross-Modal Prototype Alignment and Mixing for Training-Free Few-Shot Classification.

Dipam Goswami, Simone Magistri, Gido M. van de Ven, Bartlomiej Twardowski, Andrew D. Bagdanov, Tinne Tuytelaars, Joost van de Weijer

CoRR, March, 2026

IsoCLIP: Decomposing CLIP Projectors for Efficient Intra-modal Alignment.

Simone Magistri, Dipam Goswami, Marco Mistretta, Bartlomiej Twardowski, Joost van de Weijer, Andrew D. Bagdanov

CoRR, March, 2026

2025

Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting.

Yuyang Liu, Qiuhe Hong, Linlan Huang, Alexandra Gomez-Villa, Dipam Goswami, Xialei Liu, Joost van de Weijer, Yonghong Tian

CoRR, August, 2025

Query Drift Compensation: Enabling Compatibility in Continual Learning of Retrieval Embedding Models.

Dipam Goswami, Liying Wang, Bartlomiej Twardowski, Joost van de Weijer

CoRR, June, 2025

2024

Covariances for Free: Exploiting Mean Distributions for Federated Learning with Pre-Trained Models.

Dipam Goswami, Simone Magistri, Kai Wang, Bartlomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer

CoRR, 2024

Exemplar-Free Continual Representation Learning via Learnable Drift Compensation.

Alex Gomez-Villa, Dipam Goswami, Kai Wang, Andrew D. Bagdanov, Bartlomiej Twardowski, Joost van de Weijer

Proceedings of the Computer Vision - ECCV 2024, 2024

Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained Vision Transformers.

Dipam Goswami, Bartlomiej Twardowski, Joost van de Weijer

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

CoRR, 2023

Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation.

Dipam Goswami, René Schuster, Joost van de Weijer, Didier Stricker

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning.

Dipam Goswami, Yuyang Liu, Bartlomiej Twardowski, Joost van de Weijer

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Bounding Box Priors for Cell Detection with Point Annotations.

Hari Om Aggrawal, Dipam Goswami, Vinti Agarwal

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Augmented Box Replay: Overcoming Foreground Shift for Incremental Object Detection.

Yuyang Liu, Yang Cong, Dipam Goswami, Xialei Liu, Joost van de Weijer

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Deep Learning-Based Defect Classification and Detection in SEM Images.

Bappaditya Dey, Dipam Goswami, Sandip Halder, Kasem Khalil, Philippe Leray, Magdy A. Bayoumi

CoRR, 2022

2021

Urine Microscopic Image Dataset.

Dipam Goswami, Hari Om Aggrawal, Rajiv Gupta, Vinti Agarwal

CoRR, 2021

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