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16 results on '"Singha, Tanmay"'

2. Effi-Seg: Rethinking EfficientNet Architecture for Real-Time Semantic Segmentation

Author

Singha, Tanmay, Pham, Duc-Son, Krishna, Aneesh, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Luo, Biao, editor, Cheng, Long, editor, Wu, Zheng-Guang, editor, Li, Hongyi, editor, and Li, Chaojie, editor

Published
2024
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6. A Lightweight Multi-scale Feature Fusion Network for Real-Time Semantic Segmentation

Author

Singha, Tanmay, Pham, Duc-Son, Krishna, Aneesh, Gedeon, Tom, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Mantoro, Teddy, editor, Lee, Minho, editor, Ayu, Media Anugerah, editor, Wong, Kok Wai, editor, and Hidayanto, Achmad Nizar, editor

Published
2021
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7. Efficient Segmentation Pyramid Network

Author

Singha, Tanmay, Pham, Duc-Son, Krishna, Aneesh, Dunstan, Joel, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Yang, Haiqin, editor, Pasupa, Kitsuchart, editor, Leung, Andrew Chi-Sing, editor, Kwok, James T., editor, Chan, Jonathan H., editor, and King, Irwin, editor

Published
2020
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9. Efficient Semantic Segmentation for Resource-Constrained Applications with Lightweight Neural Networks

Author

Sonny Pham, Singha, Tanmay, Sonny Pham, and Singha, Tanmay

Abstract

This thesis focuses on developing lightweight semantic segmentation models tailored for resource-constrained applications, effectively balancing accuracy and computational efficiency. It introduces several novel concepts, including knowledge sharing, dense bottleneck, and feature re-usability, which enhance the feature hierarchy by capturing fine-grained details, long-range dependencies, and diverse geometrical objects within the scene. To achieve precise object localization and improved semantic representations in real-time environments, the thesis introduces multi-stage feature aggregation, feature scaling, and hybrid-path attention methods.

Published
2023

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