A toolbox for Fuzzy Computer Vision

Semantic Segmentation

This repository contains code for image-to-image retrieval using different architectures. We test dilated CNN for the problem as well.

Semantic Scene Completion

This study investigates the performance effect of using recurrent neural networks (RNNs) for semantic segmentation of urban scene images, to generate a semantic output map with refined edges. We proposed three deep neural network architectures using recurrent neural networks and evaluated them on the Cityscapes dataset. All three proposed archit…

CVPR 2020, "FPConv: Learning Local Flattening for Point Convolution"

PyTorch implementation of "Pyramid Scene Parsing Network".

PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).

[ECCV'18] 3DMV: Joint 3D-Multi-View Prediction for 3D Semantic Scene Segmentation

A Brief Tutorial on LiDAR data visualisation and classification

[BMVC'21] Official PyTorch Implementation of "Grounded Situation Recognition with Transformers"

Python implementation for scaled layout estimation from non-central panoramas

A practical implementation of pixel level segmentation based road detection and steering angle estimation methods.

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

[ECCV Workshop'20] General Room Layout Estimation Track in Holistic 3D Vision Challenge

Implement some state-of-the-art methods of Semantic Scene Completion (SSC) task in PyTorch. [1] 3D Sketch-aware Semantic Scene Completion via Semi-supervised Structure Prior (CVPR 2020)

[IJCAI 2022] Spatiality-guided Transformer for 3D Dense Captioning on Point Clouds (official pytorch implementation)

Learning to Reconstruct 3D Non-Cuboid Room Layout from a Single RGB Image