Senior Design project that presents scanned devices in your network in a user-friendly GUI
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Updated
May 5, 2021 - Python
Senior Design project that presents scanned devices in your network in a user-friendly GUI
Complete surface texture on partially textured 3D meshes using graph neural networks.
Official implementation for the ECCV 2022 work MonteBoxFinder: Detecting and Filtering Primitives to Fit a Noisy Point Cloud
Official code of "Segment any 3D Object with Language"
[CVPR 2024] Memory-based Adapters for Online 3D Scene Perception
[CVPR 2023] Unsupervised Continual Semantic Adaptation through Neural Rendering
[arXiv 2023] 3D Small Object Detection with Dynamic Spatial Pruning
[CVPR2022] Point Cloud Pre-training with Natural 3D Structures
ENet for 2D semantic segmentation in ScanNet
PFA-ScanNet: Pyramidal Feature Aggregation With Synergistic Learning for Breast Cancer Metastasis Analysis (Architecture Only Pytorch Implementation).
[WACV'24] TD3D: Top-Down Beats Bottom-Up in 3D Instance Segmentation
LargeKernel3D: Scaling up Kernels in 3D Sparse CNNs (CVPR 2023)
FrameNet: Learning Local Canonical Frames of 3D Surfaces from a Single RGB Image
CVPR 2020, "FPConv: Learning Local Flattening for Point Convolution"
This work is based on our paper "DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes", which appeared at the IEEE Conference On Computer Vision And Pattern Recognition (CVPR) 2020.
[CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentation
[ECCV'20] Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation
Grid-GCN for Fast and Scalable Point Cloud Learning
[CVPR 2022 Oral] Official implementation for "Surface Representation for Point Clouds"
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