[CVPR 2024 Oral] Rethinking Inductive Biases for Surface Normal Estimation

[SIGGRAPH Asia 2024 (Journal Track)] StableNormal: Reducing Diffusion Variance for Stable and Sharp Normal

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)

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

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