Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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Daily Overview | |
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Location: 713A 125 theatre |
Cube Kernel: A Novel Approach to Enable Local Gradient Flow Across Channels in CNNs
8:45am - 9:00am
Land Surface Dynamics Modeling and Prediction with dual Latent-Space Representations
9:00am - 9:15am
Revealing Feature Contribution Mechanisms for Interpretable CNN-Transformer Remote Sensing Classification
9:15am - 9:30am
EfficientViM-CD: An Efficient Remote Sensing Change Detection Network Based on Hidden State-Mixer
9:30am - 9:45am
Local NMS: Enhancing Object Detection in Large-Scale Remote Sensing Images via iterative pipelined Postprocessing
9:45am - 10:00am
ERD: Extended RAW-Diffusion Framework for De-rendering sRGB Images
LGSSM: Local-to-global state space model for serialized point cloud semantic segmentation
1:45pm - 2:00pm
Hierarchical Gaussian Partitioning for Semantic Segmentation of Airborne LiDAR Scenes
2:00pm - 2:15pm
MCPF-Net: Multi-stage LiDAR-Image Collaborative Perception Fusion Network for Point Cloud Semantic Segmentation in Urban Scenes
2:15pm - 2:30pm
Cross-Sensor Robustness and Spatial Generalization for 3D Railway Point Cloud Semantic Segmentation
2:30pm - 2:45pm
Revisiting NeRF for Street Scene Point Cloud Semantic Segmentation in the Era of 3DGS
2:45pm - 3:00pm
Extraction of Pole-like Road Objects from MMS Point Clouds Using Deep Learning and Geometric-Topological Feature Fusion
AI-Enabled Forest Inventory in TerraScan: integrating Georeferencing, Species Identification, and Volume Computation
3:45pm - 4:00pm
Spatiotemporal Foundation Model for Aboveground Biomass Estimation: A case study in Mixedwood Plains Ecozone, Ontario, Canada
4:00pm - 4:15pm
Improving Tree Species Detection for Operational Forestry: The Role of Dataset Design
4:15pm - 4:30pm
Self-Supervised Leaf-Off Segmentation of Tree Functional Types and Buildings from Airborne NIRGB and LiDAR Data in Southern Ontario
4:30pm - 4:45pm
Updating Forestry Road networks in Ontario Using Single Photon LiDAR and Deep Learning-enhanced algorithms
4:45pm - 5:00pm
Attention-guided Multi-Scale Deep Learning Approach for Tree Health Detection Using Very High-Resolution Aerial Imagery
5:00pm - 5:15pm
Fine-grained vegetation segmentation in complex urban park environments using a deeply supervised parallel SegFormer

