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Enhancing the Domain Robustness of Self-Supervised Pre-Training with Synthetic Images
Published in ICASSP, 2024
Recommended citation: M. H. N. C, A. Bhattacharya, V. G. Turrisi Da Costa, B. Banerjee and E. Ricci, "Enhancing the Domain Robustness of Self-Supervised pre-Training with Synthetic Images," ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Korea, Republic of, 2024, pp. 5470-5474, doi: 10.1109/ICASSP48485.2024.10447665.
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Can Commonsense Knowledge Improve CLIP’s Performance in Cross-Domain VQA?
Published in ICVGIP, 2024
Recommended citation: Mohamad Hassan N C, Ankit Jha, Moloud Abdar, and Biplab Banerjee. 2025. Can Commonsense Knowledge Improve CLIP's Performance in Cross-Domain VQA?✱ In Proceedings of the Fifteenth Indian Conference on Computer Vision Graphics and Image Processing (ICVGIP ' 24). Association for Computing Machinery, New York, NY, USA, Article 15, 1–10. https://doi.org/10.1145/3702250.370226
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Foundation Models and Adaptive Feature Selection: A Synergistic Approach to Video Question Answering
Published in WACV, 2025
Recommended citation: Bhargava, Sai, N C, Mohamad Hassan, Jha, Ankit, Bhargava, Neha, Prasad, Saurabh, Banerjee, Biplab: "Foundation Models and Adaptive Feature Selection: A Synergistic Approach to Video Question Answering," WACV, 2025.
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