Toqi Tahamid Sarker
Orcid: 0000-0003-2482-8059
According to our database1,
Toqi Tahamid Sarker authored at least 14 papers
between 2019 and 2026.
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Bibliography
2026
FryNet: Dual-Stream Adversarial Fusion for Non-Destructive Frying Oil Oxidation Assessment.
CoRR, April, 2026
CoRR, April, 2026
FUME: Fused Unified Multi-Gas Emission Network for Livestock Rumen Acidosis Detection.
CoRR, January, 2026
WeedRepFormer: Reparameterizable Vision Transformers for Real-Time Waterhemp Segmentation and Gender Classification.
CoRR, January, 2026
2025
CarboNeXT and CarboFormer: Dual Semantic Segmentation Architectures for Detecting and Quantifying Carbon Dioxide Emissions Using Optical Gas Imaging.
CoRR, June, 2025
Optical gas imaging and deep learning for quantifying enteric methane emissions from rumen fermentation in vitro.
IET Image Process., 2025
CarboFormer: A Lightweight Semantic Segmentation Architecture for Efficient Carbon Dioxide Detection Using Optical Gas Imaging.
Proceedings of the Advances in Visual Computing - 20th International Symposium, 2025
GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas Imaging.
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025
WeedSense: Multi-Task Learning for Weed Segmentation, Height Estimation, and Growth Stage Classification.
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025
SoyStageNet: Balancing Accuracy and Efficiency for Real-Time Soybean Growth Stage Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025
2024
WeedVision: Multi-Stage Growth and Classification of Weeds using DETR and RetinaNet for Precision Agriculture.
Proceedings of the International Conference on Machine Learning and Applications, 2024
Gasformer: A Transformer-based Architecture for Segmenting Methane Emissions from Livestock in Optical Gas Imaging.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019