Part of my work for my Bachelor's Thesis Project on Counterfactual Reasoning for Videos.
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Updated
Oct 4, 2023 - Python
Part of my work for my Bachelor's Thesis Project on Counterfactual Reasoning for Videos.
A panoptic segmentation deep learning architecture for sim2real autonomous driving scene understanding
Label the pixels of a road in images using a Fully Convolutional Network (FCN).
Semantic Segmentation
Python implementation for scaled layout estimation from non-central panoramas
This repository contains code for image-to-image retrieval using different architectures. We test dilated CNN for the problem as well.
A Brief Tutorial on LiDAR data visualisation and classification
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…
[IAC 2023] This repository contains the code used in our paper, "AstrobeeCD: Change Detection in Microgravity with Free-Flying Robots." This method is useful for detecting 3D scene changes given a 3D model, a sequence of images, and a sequence of camera poses.
Multi-Agent VQA: Exploring Multi-Agent Foundation Models on Zero-Shot Visual Question Answering
A toolbox for Fuzzy Computer Vision
[SG2RL@ICCV 2023] Code for our paper "Haystack: A Panoptic Scene Graph Dataset to Evaluate Rare Predicate Classes"
SpiderMesh: Spatial-aware Demand-guided Recursive Meshing for RGB-T Semantic Segmentation (Updating)
Implementation code for: Towards Compact Autonomous Driving Perception with Balanced Learning and Multi-sensor Fusion, IEEE Trans. Intelligent Transportation Systems, 2022.
[ECCV Workshop'20] General Room Layout Estimation Track in Holistic 3D Vision Challenge
CLEVR3D Dataset: Comprehensive Visual Question Answering on Point Clouds through Compositional Scene Manipulation
[WACV 2024] TSP-Transformer: Task-Specific Prompts Boosted Transformer for Holistic Scene Understanding
Implementation code for: Semantic Segmentation and Depth Estimation with RGB and DVS Sensor Fusion for Multi-view Driving Perception, Proc. Asian Conf. Pattern Recognition (ACPR), 2021.
Pytorch Implementation of Learning Similarity between Scene Graphs and Images with Transformers (GICON))
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