[CVPR 2024 Oral] Rethinking Inductive Biases for Surface Normal Estimation
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Updated
Jul 10, 2024 - Jupyter Notebook
[CVPR 2024 Oral] Rethinking Inductive Biases for Surface Normal Estimation
SNE-RoadSeg for Freespace Detection in PyTorch, ECCV 2020
[ICCV 2021 Oral] Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation
Multi-Task (Joint Segmentation / Depth / Surface Normas) Real-Time Light-Weight RefineNet
Three-Filters-to-Normal: An Accurate and Ultrafast Surface Normal Estimator (RAL+ICRA'21)
[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning
An easy-to-use wrapper for work with dense per-pixel tasks in PyTorch (including multi-task learning)
A virtual environment that allows changing isolated features in the image
Official code for FOUND: Foot Optimisation with Uncertain Normals for Surface Deformation using Synthetic Data
Normal Inference Module in PyTorch, IROS 2020
PyTorch Implementation of "NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction"
Adversarial Structure Matching for Structured Prediction Tasks
TypeScript implementation of iterative closest point (ICP) for point cloud registration
Progressive Decoder Fusion, Accepted at CoLLAs, 2022.
My Bachelor's Thesis Project
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