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08/24/2023
Mutual-Guided Dynamic Network for Image Fusion
Image fusion aims to generate a high-quality image from multiple images ...
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08/06/2023
Recurrent Spike-based Image Restoration under General Illumination
Spike camera is a new type of bio-inspired vision sensor that records li...
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07/08/2023
Stimulating the Diffusion Model for Image Denoising via Adaptive Embedding and Ensembling
Image denoising is a fundamental problem in computational photography, w...
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07/13/2022
Learnability Enhancement for Low-light Raw Denoising: Where Paired Real Data Meets Noise Modeling
Low-light raw denoising is an important and valuable task in computation...
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07/02/2022
Scheduling Planting Time Through Developing an Optimization Model and Analysis of Time Series Growing Degree Units
Producing higher-quality crops within shortened breeding cycles ensures ...
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03/18/2022
Botnets Breaking Transformers: Localization of Power Botnet Attacks Against the Distribution Grid
Traditional botnet attacks leverage large and distributed numbers of com...
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12/24/2021
Continuous Spectral Reconstruction from RGB Images via Implicit Neural Representation
Existing methods for spectral reconstruction usually learn a discrete ma...
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07/22/2021
A reinforcement learning approach to resource allocation in genomic selection
Genomic selection (GS) is a technique that plant breeders use to select ...
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03/17/2021
WheatNet: A Lightweight Convolutional Neural Network for High-throughput Image-based Wheat Head Detection and Counting
For a globally recognized planting breeding organization, manually-recor...
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01/22/2021
Snapshot Hyperspectral Imaging Based on Weighted High-order Singular Value Regularization
Snapshot hyperspectral imaging can capture the 3D hyperspectral image (H...
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12/05/2020
YieldNet: A Convolutional Neural Network for Simultaneous Corn and Soybean Yield Prediction Based on Remote Sensing Data
Large scale crop yield estimation is, in part, made possible due to the ...
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10/23/2020
High-Throughput Image-Based Plant Stand Count Estimation Using Convolutional Neural Networks
The future landscape of modern farming and plant breeding is rapidly cha...
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07/20/2020
DeepCorn: A Semi-Supervised Deep Learning Method for High-Throughput Image-Based Corn Kernel Counting and Yield Estimation
The success of modern farming and plant breeding relies on accurate and ...
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03/26/2020
Convolutional Neural Networks for Image-based Corn Kernel Detection and Counting
Precise in-season corn grain yield estimates enable farmers to make real...
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01/27/2020
Predicting Yield Performance of Parents in Plant Breeding: A Neural Collaborative Filtering Approach
Experimental corn hybrids are created in plant breeding programs by cros...
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11/20/2019
A CNN-RNN Framework for Crop Yield Prediction
Crop yield prediction is extremely challenging due to its dependence on ...
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02/07/2019
