Townim F. Chowdhury

Orcid: 0000-0003-1780-6046

According to our database1, Townim F. Chowdhury authored at least 14 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
AR&D: A Framework for Retrieving and Describing Concepts for Interpreting AudioLLMs.
CoRR, February, 2026

2025
From Healthy Scans to Annotated Tumors: A Tumor Fabrication Framework for 3D Brain MRI Synthesis.
CoRR, November, 2025

Looking in the Mirror: A Faithful Counterfactual Explanation Method for Interpreting Deep Image Classification Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

From Healthy Scans to Annotated Tumors: A Tumor Fabrication Framework for 3D Brain Mri Synthesis.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2025

2024
3D scene generation for zero-shot learning using ChatGPT guided language prompts.
Comput. Vis. Image Underst., 2024

AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

A Fast Exact Algorithm to Enumerate Maximal Pseudo-cliques in Large Sparse Graphs.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
ChatGPT-guided Semantics for Zero-shot Learning.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

2022
Zero-Shot Learning on 3D Point Cloud Objects and Beyond.
Int. J. Comput. Vis., 2022

Prompt-guided Scene Generation for 3D Zero-Shot Learning.
CoRR, 2022

Rethinking Task-Incremental Learning Baselines.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Few-Shot Class-Incremental Learning for 3D Point Cloud Objects.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Learning Without Forgetting for 3D Point Cloud Objects.
Proceedings of the Advances in Computational Intelligence, 2021


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