8th Workshop on Computer Vision in Plant Phenotyping and Agriculture
Analyzing the Behavior of Cauliflower Harvest-Readiness Models by Investigating Feature Relevances-
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[bibtex]@InProceedings{Penzel_2023_ICCV, author = {Penzel, Niklas and Kierdorf, Jana and Roscher, Ribana and Denzler, Joachim}, title = {Analyzing the Behavior of Cauliflower Harvest-Readiness Models by Investigating Feature Relevances}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {572-581} }
Towards Automated Regulation of Jacobaea Vulgaris in Grassland Using Deep Neural Networks-
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[bibtex]@InProceedings{Schauer_2023_ICCV, author = {Schauer, Moritz and Hohl, Renke and Vaupel, Dennis and Bienhaus, Diethelm and Ghobadi, Seyed Eghbal}, title = {Towards Automated Regulation of Jacobaea Vulgaris in Grassland Using Deep Neural Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {702-711} }
Estimation of Crop Production by Fusing Images and Crop Features-
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[bibtex]@InProceedings{Casado-Garcia_2023_ICCV, author = {Casado-Garc{\'\i}a, \'Angela and Heras, J\'onathan and Miranda-Apodaca, Jon and Mart{\'\i}nez-Go\~ni, Xabier Simon and P\'erez-L\'opez, Usue}, title = {Estimation of Crop Production by Fusing Images and Crop Features}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {525-530} }
An Interpretable Framework to Characterize Compound Treatments on Filamentous Fungi Using Cell Painting and Deep Metric Learning-
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[bibtex]@InProceedings{Lejeune_2023_ICCV, author = {Lejeune, Laurent and Roussin, Morgane and Leggio, Bruno and Vernay, Aurelia}, title = {An Interpretable Framework to Characterize Compound Treatments on Filamentous Fungi Using Cell Painting and Deep Metric Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {495-504} }
Rapid Tomato DUS Trait Analysis Using an Optimized Mobile-Based Coarse-to-Fine Instance Segmentation Algorithm-
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[bibtex]@InProceedings{Rustia_2023_ICCV, author = {Rustia, Dan Jeric Arcega and Jansen, Guido Alexander and Hageraats, Selwin and Peller, Joseph and van de Zedde, Rick and Marchennay, C\'ecile and Sangster, Wim and Blokker, Gosia}, title = {Rapid Tomato DUS Trait Analysis Using an Optimized Mobile-Based Coarse-to-Fine Instance Segmentation Algorithm}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {634-642} }
Non-Destructive Infield Quality Estimation of Strawberries Using Deep Architectures-
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[bibtex]@InProceedings{Jol_2023_ICCV, author = {Jol, Cees and Wen, Junhan and van Gemert, Jan}, title = {Non-Destructive Infield Quality Estimation of Strawberries Using Deep Architectures}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {515-524} }
Reinforcement Learning with Space Carving for Plant Scanning-
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[bibtex]@InProceedings{Villalpando_2023_ICCV, author = {Villalpando, Antonio Pico and Kubisch, Matthias and Colliaux, David and Hanappe, Peter and Hafner, Verena V.}, title = {Reinforcement Learning with Space Carving for Plant Scanning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {694-701} }
Deep Learning Based 3d Reconstruction for Phenotyping of Wheat Seeds: a Dataset, Challenge, and Baseline Method-
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[bibtex]@InProceedings{Cherepashkin_2023_ICCV, author = {Cherepashkin, Vsevolod and Yildiz, Erenus and Fischbach, Andreas and Kobbelt, Leif and Scharr, Hanno}, title = {Deep Learning Based 3d Reconstruction for Phenotyping of Wheat Seeds: a Dataset, Challenge, and Baseline Method}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {561-571} }
Semantic Segmentation of Crops and Weeds with Probabilistic Modeling and Uncertainty Quantification-
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[bibtex]@InProceedings{Celikkan_2023_ICCV, author = {Celikkan, Ekin and Saberioon, Mohammadmehdi and Herold, Martin and Klein, Nadja}, title = {Semantic Segmentation of Crops and Weeds with Probabilistic Modeling and Uncertainty Quantification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {582-592} }
A new Large Dataset and a Transfer Learning Methodology for Plant Phenotyping in Vertical Farms-
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[bibtex]@InProceedings{Sama_2023_ICCV, author = {Sama, Nico and David, Etienne and Rossetti, Simone and Antona, Alessandro and Franchetti, Benjamin and Pirri, Fiora}, title = {A new Large Dataset and a Transfer Learning Methodology for Plant Phenotyping in Vertical Farms}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {540-551} }
Pollinators as Data Collectors: Estimating Floral Diversity with Bees and Computer Vision-
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[bibtex]@InProceedings{Tausch_2023_ICCV, author = {Tausch, Frederic and Wagner, Jan and Klaus, Simon}, title = {Pollinators as Data Collectors: Estimating Floral Diversity with Bees and Computer Vision}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {643-650} }
Inductive Conformal Prediction for Harvest-Readiness Classification of Cauliflower Plants: A Comparative Study of Uncertainty Quantification Methods-
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[bibtex]@InProceedings{Farag_2023_ICCV, author = {Farag, Mohamed and Kierdorf, Jana and Roscher, Ribana}, title = {Inductive Conformal Prediction for Harvest-Readiness Classification of Cauliflower Plants: A Comparative Study of Uncertainty Quantification Methods}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {651-659} }
Group-Conditional Conformal Prediction via Quantile Regression Calibration for Crop and Weed Classification-
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[bibtex]@InProceedings{Melki_2023_ICCV, author = {Melki, Paul and Bombrun, Lionel and Diallo, Boubacar and Dias, J\'er\^ome and Da Costa, Jean-Pierre}, title = {Group-Conditional Conformal Prediction via Quantile Regression Calibration for Crop and Weed Classification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {614-623} }
Vision-Based Monitoring of the Short-Term Dynamic Behaviour of Plants for Automated Phenotyping-
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[bibtex]@InProceedings{Wagner_2023_ICCV, author = {Wagner, Nikolaus and Cielniak, Grzegorz}, title = {Vision-Based Monitoring of the Short-Term Dynamic Behaviour of Plants for Automated Phenotyping}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {624-633} }
Improving Deep Learning on Hyperspectral Images of Grain by Incorporating Domain Knowledge from Chemometrics-
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[bibtex]@InProceedings{Engstrom_2023_ICCV, author = {Engstr{\o}m, Ole-Christian Galbo and Dreier, Erik Schou and Jespersen, Birthe M{\o}ller and Pedersen, Kim Steenstrup}, title = {Improving Deep Learning on Hyperspectral Images of Grain by Incorporating Domain Knowledge from Chemometrics}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {485-494} }
Adapting Vision Foundation Models for Plant Phenotyping-
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[bibtex]@InProceedings{Chen_2023_ICCV, author = {Chen, Feng and Giuffrida, Mario Valerio and Tsaftaris, Sotirios A.}, title = {Adapting Vision Foundation Models for Plant Phenotyping}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {604-613} }
Embedded Plant Recognition: A Benchmark for low Footprint Deep Neural Networks-
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[bibtex]@InProceedings{El_Amine_2023_ICCV, author = {El Amine, Sehaba Mohammed and Carlos, Crispim-Junior and Laure, Tougne Rodet}, title = {Embedded Plant Recognition: A Benchmark for low Footprint Deep Neural Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {670-677} }
Deep Learning for Apple Fruit Quality Inspection Using X-Ray Imaging-
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[bibtex]@InProceedings{Tempelaere_2023_ICCV, author = {Tempelaere, Astrid and Van Doorselaer, Leen and He, Jiaqi and Verboven, Pieter and Tuytelaars, Tinne and Nicolai, Bart}, title = {Deep Learning for Apple Fruit Quality Inspection Using X-Ray Imaging}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {552-560} }
Detection of Fusarium Damaged Kernels in Wheat Using Deep Semi-Supervised Learning on a Novel WheatSeedBelt Dataset-
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[bibtex]@InProceedings{Najafian_2023_ICCV, author = {Najafian, Keyhan and Jin, Lingling and Kutcher, H. Randy and Hladun, Mackenzie and Horovatin, Samuel and Oviedo-Ludena, Maria Alejandra and de Andrade, Sheila Maria Pereira and Wang, Lipu and Stavness, Ian}, title = {Detection of Fusarium Damaged Kernels in Wheat Using Deep Semi-Supervised Learning on a Novel WheatSeedBelt Dataset}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {660-669} }
Unified Automatic Plant Cover and Phenology Prediction-
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[bibtex]@InProceedings{Korschens_2023_ICCV, author = {K\"orschens, Matthias and Bucher, Solveig Franziska and R\"omermann, Christine and Denzler, Joachim}, title = {Unified Automatic Plant Cover and Phenology Prediction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {685-693} }
Weed Mapping with Convolutional Neural Networks on High Resolution Whole-Field Images-
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[bibtex]@InProceedings{Wang_2023_ICCV, author = {Wang, Yuemin and Ha, Thuan and Aldridge, Kathryn and Duddu, Hema and Shirtliffe, Steve and Stavness, Ian}, title = {Weed Mapping with Convolutional Neural Networks on High Resolution Whole-Field Images}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {505-514} }
Unlocking Comparative Plant Scoring with Siamese Neural Networks and Pairwise Pseudo Labelling-
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[bibtex]@InProceedings{Hartley_2023_ICCV, author = {Hartley, Zane K. J. and Lind, Rob J. and Smith, Nicholas and Collison, Bob and French, Andrew P.}, title = {Unlocking Comparative Plant Scoring with Siamese Neural Networks and Pairwise Pseudo Labelling}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {678-684} }
Class-Incremental Learning of Plant and Disease Detection: Growing Branches with Knowledge Distillation-
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[bibtex]@InProceedings{Page-Fortin_2023_ICCV, author = {Pag\'e-Fortin, Mathieu}, title = {Class-Incremental Learning of Plant and Disease Detection: Growing Branches with Knowledge Distillation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {593-603} }
Efficient Grapevine Structure Estimation in Vineyards Conditions-
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[bibtex]@InProceedings{Gentilhomme_2023_ICCV, author = {Gentilhomme, Th\'eophile and Villamizar, Michael and Corre, Jerome and Odobez, Jean-Marc}, title = {Efficient Grapevine Structure Estimation in Vineyards Conditions}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {712-720} }
Plant Root Occlusion Inpainting with Generative Adversarial Network-
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[bibtex]@InProceedings{Song_2023_ICCV, author = {Song, Hao and Panjvani, Karim and Liu, Zhigang and Amar, Huzaifa and Kochian, Leon and Ye, Shengjian and Yang, Xuan and Feurtado, J. Allan and Chavda, Krunal and Huatatoca, Karina Angela Chimbo and Eramian, Mark}, title = {Plant Root Occlusion Inpainting with Generative Adversarial Network}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {531-539} }