fanrz's repositories
awesome-fast-attention
list of efficient attention modules
MDANet_ICRA2021
ICRA 2021 "MDANet: Multi-Modal Deep Aggregation Network for Depth Completion"
pointnet.pytorch
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
SGDepth
[ECCV 2020] Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance
EdgeDepth-Release
Github Repo for Paper "The Edge of Depth: Explicit Constraints between Segmentation and Depth"
CSPN
Convolutional Spatial Propagation Network
NLSPN_ECCV20
Park et al., Non-Local Spatial Propagation Network for Depth Completion, ECCV, 2020
SEAM
Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation, CVPR 2020 (Oral)
fast-depth
ICRA 2019 "FastDepth: Fast Monocular Depth Estimation on Embedded Systems"
pytorch-original-transformer
My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.
pacnet
Pixel-Adaptive Convolutional Neural Networks (CVPR '19)
guided-deep-decoder
Code of 'Guided Deep Decoder: Unsupervised Image Pair Fusion'
vision-transformer-pytorch
Pytorch version of Vision Transformer (ViT) with pretrained models. This is part of CASL (https://casl-project.github.io/) and ASYML project.
Sparse-Depth-Completion
Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI)
dkn
An official implementation of "Deformable Kernel Network for Joint Image Filtering" (IJCV 2020) in PyTorch.
ACAN
Attention-based Context Aggregation Network for Monocular Depth Estimation
ppac_refinement
Probabilistic Pixel-Adaptive Refinement Networks (CVPR 2020)
pointnet2
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
GraphCNN-GAN
Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution
unifiedparsing
Codebase and pretrained models for ECCV'18 Unified Perceptual Parsing
TGS-Salt-Identification-Challenge-2018-_4th_place_solution
Kaggle TGS Salt Identification Challenge 2018 4th place code
ISIC2018
Lesion attributes segmentation for melanoma detection with multi-task U-Net
deformable-kernels
Deforming kernels to adapt towards object deformation. In ICLR 2020.
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
GNNPapers
Must-read papers on graph neural networks (GNN)
wassdistance
Approximating Wasserstein distances with PyTorch
kaggle-rcic-1st
1st Place Solution for Kaggle Recursion Cellular Image Classification Challenge -- https://www.kaggle.com/c/recursion-cellular-image-classification/
kaggle-champs
Code for the CHAMPS Predicting Molecular Properties Kaggle competition
ip_basic
Image Processing for Basic Depth Completion