Research graph
References from HAE-Net: A hierarchy-aware enhanced method for 3D panoptic segmentation in orchard scenes. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1007/s44279-024-00066-7 · 2024 · Admitted local publication
Crop yield prediction in agriculture: a comprehensive review of machine learning and deep learning approaches, with insights for future research and sustainability
10.1016/j.heliyon.2024.e40836 · 2024 · External reference
DeepFruits: a fruit detection system using deep neural networks
10.3390/s16081222 · 2016 · External reference
Deep fruit detection in orchards
2017 · External reference
Deep learning in agriculture: a survey
10.1016/j.compag.2018.02.016 · 2018 · External reference
Fruit detection and 3D location using instance segmentation neural networks and structure-from-motion photogrammetry
10.1016/j.compag.2019.105165 · 2020 · External reference
Precise 3D reconstruction of plants from UAV imagery combining bundle adjustment and template matching
2022 · External reference
3D hierarchical panoptic segmentation in real orchard environments across different sensors
2025 · External reference
Dynamic sparse point voxel transformer for 3D point cloud instance segmentation of dormant apple trees
10.1016/j.plaphe.2026.100228 · 2026 · External reference
An image segmentation and point cloud registration combined scheme for sensing of obscured tree branches
10.1016/j.compag.2024.108960 · 2024 · External reference
RandLA-Net: efficient semantic segmentation of large-scale point clouds
2020 · External reference
Stem–leaf segmentation and phenotypic trait extraction of individual plant using a precise and efficient point cloud segmentation network
10.1016/j.compag.2024.108839 · 2024 · External reference
4D spatio-temporal convnets: minkowski convolutional neural networks
2019 · External reference
Crop agnostic monitoring driven by deep learning
10.3389/fpls.2021.786702 · 2021 · External reference
Crops3D: a 3D dataset of organ-level panoptic segmentation and high-precision phenotyping for maize and sorghum
2024 · External reference
Fuji-SfM dataset: a collection of annotated images and point clouds for fuji apple detection and location using structure-from-motion photogrammetry
10.1016/j.dib.2020.105591 · 2020 · External reference
Panoptic segmentation
2019 · External reference
Panoptic-polarnet: Proposal-free LiDAR point cloud panoptic segmentation
2021 · External reference
Panopticfusion: online volumetric semantic mapping at the level of stuff and things
2019 · External reference
10.21105/joss.00205 · 2017 · Admitted local publication
Mean shift: a robust approach toward feature space analysis
10.1109/34.1000236 · 2002 · External reference
Panoster: End-to-end panoptic segmentation of LiDAR point clouds
10.1109/lra.2021.3060405 · 2021 · External reference
EfficientLPS: Efficient LiDAR panoptic segmentation
10.1109/tro.2021.3122069 · 2022 · External reference
Learning object bounding boxes for 3D instance segmentation on point clouds
2019 · External reference
Mask3D: mask transformer for 3D semantic instance segmentation
2023 · External reference
How do images align and complement LiDAR? Towards a harmonized multi-modal 3D panoptic segmentation
2025 · External reference
Panoptic-VSNet: Visual-semantic prior knowledge-driven multimodal 3D panoptic segmentation
10.1016/j.patcog.2026.113239 · 2026 · External reference
Comprehensive review on 3D point cloud segmentation in plants
2025 · External reference
Automatic 3D plant organ instance segmentation method based on PointNeXt and Quickshift++
10.1016/j.plaphe.2025.100065 · 2025 · External reference
Apple tree architectural trait phenotyping with organ-level instance segmentation from point cloud
10.1016/j.compag.2024.109708 · 2025 · External reference
A holistic 3D framework for single-plant point cloud segmentation and phenotypic trait extraction
10.1016/j.compag.2026.111545 · 2026 · External reference
An overview of multi-task learning in deep neural networks
2017 · External reference
Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture
2015 · External reference
Semantic image segmentation with task-specific edge detection using CNNs and a discriminatively trained domain transform
2016 · External reference
Multi-task learning model for agricultural pest detection from crop-plant imagery: a bayesian approach
10.1016/j.compag.2024.108719 · 2024 · External reference
A generative AI-enhanced multitask learning framework for weed detection and drivable area segmentation in smart agriculture
10.1016/j.compag.2026.111411 · 2026 · External reference
Multi-task learning using uncertainty to weigh losses for scene geometry and semantics
2018 · External reference
GradNorm: gradient normalization for adaptive loss balancing in deep multitask networks
2018 · External reference
Attention U-Net: learning where to look for the pancreas
2018 · External reference
SCSA: exploring the synergistic effects between spatial and channel attention
10.1016/j.neucom.2025.129866 · 2025 · External reference
DEA-Net: single image dehazing based on detail-enhanced convolution and content-guided attention
10.1109/tip.2024.3354108 · 2024 · External reference
CBAM: convolutional block attention module
2018 · External reference
Channel prior convolutional attention for medical image segmentation
10.1016/j.compbiomed.2024.108784 · 2024 · External reference
The lovász-softmax loss: a tractable surrogate for the optimization of the intersection-over-union measure in neural networks
2018 · External reference
Mask-based panoptic LiDAR segmentation for autonomous driving
10.1109/lra.2023.3236568 · 2023 · External reference
DigiForests: a longitudinal LiDAR dataset for forestry robotics
2025 · External reference
Position-guided point cloud panoptic segmentation transformer
10.1007/s11263-024-02162-z · 2025 · External reference
Scalable 3d panoptic segmentation as superpoint graph clustering
2024 · External reference
Deep learning for three-dimensional (3d) plant phenomics
10.1016/j.plaphe.2025.100107 · 2025 · External reference
3D-TREES-PAN: a LiDAR point cloud dataset for forest structure instance-level tree panoptic segmentation
2026 · External reference
