Computer Vision in Plant Phenotyping and Agriculture
Comparative Analysis of Image-Based Deep Learning and Genomic Models for Yield and Protein Content Prediction in Winter Wheat-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2025_ICCV, author = {Chen, Xiaoran and Nousi, Paraskevi and Boss, Mike and Volpi, Michele and Roth, Lukas}, title = {Comparative Analysis of Image-Based Deep Learning and Genomic Models for Yield and Protein Content Prediction in Winter Wheat}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {7119-7127} }
Decoder-aware Self-Supervised Continual Pretraining and Uncertainty-Guided Pseudo-Labeling for Wheat Organ Segmentation-
[pdf]
[bibtex]@InProceedings{Ghosh_2025_ICCV, author = {Ghosh, Tapotosh and Al Nahian, Md Jaber and Sheikhi, Farnaz and Maleki, Farhad}, title = {Decoder-aware Self-Supervised Continual Pretraining and Uncertainty-Guided Pseudo-Labeling for Wheat Organ Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {7138-7148} }
Dynamic Monitoring of Crop Canopies Using Time-Series Point Clouds: Insights into Phenotypic Variation and Leaf-Level Photosynthetic Performance-
[pdf]
[supp]
[bibtex]@InProceedings{Zhou_2025_ICCV, author = {Zhou, Jiaren and Zhang, Mengqi and Sun, Shulin and Zhang, Man and Wang, Minjuan}, title = {Dynamic Monitoring of Crop Canopies Using Time-Series Point Clouds: Insights into Phenotypic Variation and Leaf-Level Photosynthetic Performance}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {7091-7101} }
High-Throughput Estimation of Photosynthetic Phenotypic Parameters Using Hyperspectral Data-
[pdf]
[bibtex]@InProceedings{Zhang_2025_ICCV, author = {Zhang, Mengqi and Zhou, Jiaren and Zhang, Man and Wang, Minjuan}, title = {High-Throughput Estimation of Photosynthetic Phenotypic Parameters Using Hyperspectral Data}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {7110-7118} }
WeedSense: Multi-Task Learning for Weed Segmentation, Height Estimation, and Growth Stage Classification-
[pdf]
[arXiv]
[bibtex]@InProceedings{Sarker_2025_ICCV, author = {Sarker, Toqi Tahamid and Ahmed, Khaled R and Islam, Taminul and Rankrape, Cristiana Bernardi and Gage, Karla}, title = {WeedSense: Multi-Task Learning for Weed Segmentation, Height Estimation, and Growth Stage Classification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {7180-7190} }
AgMIC: Agricultural Masked Image Consistency for Cross-Domain Segmentation-
[pdf]
[bibtex]@InProceedings{Ullah_2025_ICCV, author = {Ullah, Muhib and Ali, Nisar and Nadeem, Numair and Bais, Abdul}, title = {AgMIC: Agricultural Masked Image Consistency for Cross-Domain Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {7080-7090} }
Modeling Time-Lapse Trajectories to Characterize Cranberry Growth-
[pdf]
[arXiv]
[bibtex]@InProceedings{John_2025_ICCV, author = {John, Ronan and Chihoub, Anis and Meegan, Ryan and Sidelli, Gina and Neyhart, Jeffrey and Oudemans, Peter and Dana, Kristin}, title = {Modeling Time-Lapse Trajectories to Characterize Cranberry Growth}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {7149-7159} }
Multimodal Fusion of X-Ray Transmission and Dark Field Imaging for Apple Internal Disorders Detection-
[pdf]
[supp]
[bibtex]@InProceedings{He_2025_ICCV, author = {He, Jiaqi and Tempelaere, Astrid and Vignero, Janne and Verboven, Pieter and Nicolai, Bart}, title = {Multimodal Fusion of X-Ray Transmission and Dark Field Imaging for Apple Internal Disorders Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {7170-7179} }
A Case for the Use of Chroma Cartesian Colour Representations for Image Classification on Plant-Based Domains-
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[supp]
[bibtex]@InProceedings{Payne_2025_ICCV, author = {Payne, Alexis J S and Hopkins, Gail and Gowda, Shreyank N and Triguero, Isaac and Pound, Michael P}, title = {A Case for the Use of Chroma Cartesian Colour Representations for Image Classification on Plant-Based Domains}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {7128-7137} }
First Place Solution to the MLCAS 2025 GWFSS Challenge: The Devil is in the Detail and Minority-
[pdf]
[arXiv]
[bibtex]@InProceedings{Cao_2025_ICCV, author = {Cao, Songliang and Hu, Tianqi and Lu, Hao}, title = {First Place Solution to the MLCAS 2025 GWFSS Challenge: The Devil is in the Detail and Minority}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {7102-7109} }
Improving Lightweight Weed Detection via Knowledge Distillation-
[pdf]
[bibtex]@InProceedings{Saltik_2025_ICCV, author = {Salt{\i}k, Ahmet O\u{g}uz and Voigt, Max and Modak, Sourav and Beckworth, Mike and Stein, Anthony}, title = {Improving Lightweight Weed Detection via Knowledge Distillation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {7160-7169} }
PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hartley_2025_ICCV, author = {Hartley, Zane K J and A G Stuart, Lewis and French, Andrew P and Pound, Michael P}, title = {PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2025}, pages = {7069-7079} }
