Published in PyTorch Conference, 2025
This paper is about an overview of the landscape of 3D Generation with PyTorch. Read more
Recommended citation: Mukherjee, S. (2025, October 22). An overview of the landscape of 3D generation with PyTorch. https://bit.ly/overview-3d-gen-pytorch-poster
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Published in International Conference on Pattern Recognition (Lecture Notes for Computer Science), 2024
This paper is about solutions presented for the ICPR 2024 Competition on Rider Intention Prediction. Read more
Recommended citation: Gangisetty, S. et al. (2025). ICPR 2024 Competition on Rider Intention Prediction. In: Antonacopoulos, A., Chaudhuri, S., Chellappa, R., Liu, CL., Bhattacharya, S., Pal, U. (eds) Pattern Recognition. Competitions. ICPR 2024. Lecture Notes in Computer Science, vol 15334. Springer, Cham.
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Published in MoSICom, 2023
Using latest advances in low-resource language modelling to translate old books into modern languages. Read more
Recommended citation: S. S. Mukherjee, A. Chandra, K. Chemburkar and V. Kulkarni, "Project Lingua Franca: Democratizing Information through Unified Optical Character Recognition and Neural Machine Translation," 2023 International Conference on Modeling, Simulation & Intelligent Computing (MoSICom), Dubai, United Arab Emirates, 2023, pp. 486-491
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Published in MoSICom, 2023
We show that you can speed up convergence upon using internal signals of the teacher network in conjunction with the normal distillation process. Read more
Recommended citation: S. S. Mukherjee, D. Vinod Chandan and S. Dongre, "Guiding the Student’s Learning Curve: Augmenting Knowledge Distillation with Insights from GradCAM," 2023 International Conference on Modeling, Simulation & Intelligent Computing (MoSICom), Dubai, United Arab Emirates, 2023, pp. 587-591
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Published in PyImageSearch, 2024
Final part of series in Image Super-resolution, about using Diffusers to achieve higher-res images. Read more
Recommended citation: Mukherjee, S. “Sharpen Your Vision: Super-Resolution of CCTV Images Using Hugging Face Diffusers,” PyImageSearch, P. Chugh, A. R. Gosthipaty, S. Huot, K. Kidriavsteva, and R. Raha, eds., 2024, https://pyimg.co/eoubf
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Published in PyImageSearch, 2024
First part of series in Image Super-Resolution, about conventional methods to get started. Read more
Recommended citation: Mukherjee, S. “Unlocking Image Clarity: A Comprehensive Guide to Super-Resolution Techniques,” PyImageSearch, P. Chugh, A. R. Gosthipaty, S. Huot, K. Kidriavsteva, and R. Raha, eds., 2024, https://pyimg.co/w4kr8
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Published in PyImageSearch, 2023
Third and final part in series, about setting up GPU environments with Docker Read more
Recommended citation: Mukherjee, S. “Setting Up a GPU Development Environment Using Docker,” PyImageSearch, P. Chugh, A. R. Gosthipaty, S. Huot, K. Kidriavsteva, and R. Raha, eds., 2023, https://pyimg.co/8bf3a
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Published in PyImageSearch, 2023
Second part in series, about using common Docker utilities Read more
Recommended citation: Mukherjee, S. “Getting Used to Docker for Machine Learning,” PyImageSearch, P. Chugh, A. R. Gosthipaty, S. Huot, K. Kidriavsteva, and R. Raha, eds., 2023, https://pyimg.co/hf5bk
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Published in PyImageSearch, 2023
First part in series, about using Docker for Machine Learning workflows Read more
Recommended citation: Mukherjee, S. “Getting Started with Docker for Machine Learning,” PyImageSearch, P. Chugh, A. R. Gosthipaty, S. Huot, K. Kidriavsteva, and R. Raha, eds., 2023, https://pyimg.co/k3xw6
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