Progressive Decoder Fusion, Accepted at CoLLAs, 2022.
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Updated
Dec 14, 2022 - Python
Progressive Decoder Fusion, Accepted at CoLLAs, 2022.
TypeScript implementation of iterative closest point (ICP) for point cloud registration
Adversarial Structure Matching for Structured Prediction Tasks
PyTorch Implementation of "NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction"
Normal Inference Module in PyTorch, IROS 2020
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
An easy-to-use wrapper for work with dense per-pixel tasks in PyTorch (including multi-task learning)
[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)
Multi-Task (Joint Segmentation / Depth / Surface Normas) Real-Time Light-Weight RefineNet
[ICCV 2021 Oral] Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation
SNE-RoadSeg for Freespace Detection in PyTorch, ECCV 2020
[CVPR 2024 Oral] Rethinking Inductive Biases for Surface Normal Estimation
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