SNE-RoadSeg for Freespace Detection in PyTorch, ECCV 2020
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Updated
Jul 5, 2021 - Python
SNE-RoadSeg for Freespace Detection in PyTorch, ECCV 2020
Multi-Task (Joint Segmentation / Depth / Surface Normas) Real-Time Light-Weight RefineNet
[CVPR 2024 Oral] Rethinking Inductive Biases for Surface Normal Estimation
[ICCV 2021 Oral] Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation
[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning
Three-Filters-to-Normal: An Accurate and Ultrafast Surface Normal Estimator (RAL+ICRA'21)
An easy-to-use wrapper for work with dense per-pixel tasks in PyTorch (including multi-task learning)
Official code for FOUND: Foot Optimisation with Uncertain Normals for Surface Deformation using Synthetic Data
A virtual environment that allows changing isolated features in the image
PyTorch Implementation of "NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction"
Adversarial Structure Matching for Structured Prediction Tasks
Normal Inference Module in PyTorch, IROS 2020
Progressive Decoder Fusion, Accepted at CoLLAs, 2022.
TypeScript implementation of iterative closest point (ICP) for point cloud registration
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