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 |
| 8:30am - 10:00am |
WG III/1A: Remote Sensing Data Processing and Understanding Location: 713A 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 |
| 1:30pm - 3:00pm |
WG II/2A: Point Cloud Generation and Processing Location: 713A 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 |
| 3:30pm - 5:15pm |
ThS4A: Toward Smart Forests: Emerging Tools in Remote Sensing, Artificial Intelligence, and Field Robotics Location: 713A 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 |
