Pinned Repositories
RFNet-4D
Code release for ECCV 2022 paper "RFNet-4D: Joint Object Reconstruction and Flow Estimation from 4D Point Clouds"
A-paper-list-of-object-detection-using-deep-learning
architectural_style_transfer
Code and data release for ICCP 2022 paper "Time-of-Day Neural Style Transfer for Architectural Photographs".
Associatively-Segmenting-Instances-and-Semantics-in-Point-Clouds
CNN-Image-Retrieval-in-PyTorch
Faster-R-CNN-and-Mask-R-CNN-in-PyTorch-1.0
MarineInst20M
The official dataset repository of "MarineInst: A Foundation Model for Marine Image Analysis with Instance Visual Description". ECCV 2024.
Semantic-Segmentation-Architectures-Implemented-in-PyTorch
https://meetshah1995.github.io/semantic-segmentation/deep-learning/pytorch/visdom/2017/06/01/semantic-segmentation-over-the-years.html
stylecity3d
[ECCV 2024] StyleCity: Large-Scale 3D Urban Scenes Stylization with Vision-and-Text Reference via Progressive Optimization
tuananh1007.github.io
My personal page
tuananh1007's Repositories
tuananh1007/MarineInst20M
The official dataset repository of "MarineInst: A Foundation Model for Marine Image Analysis with Instance Visual Description". ECCV 2024.
tuananh1007/stylecity3d
[ECCV 2024] StyleCity: Large-Scale 3D Urban Scenes Stylization with Vision-and-Text Reference via Progressive Optimization
tuananh1007/architectural_style_transfer
Code and data release for ICCP 2022 paper "Time-of-Day Neural Style Transfer for Architectural Photographs".
tuananh1007/Semantic-Segmentation-Architectures-Implemented-in-PyTorch
https://meetshah1995.github.io/semantic-segmentation/deep-learning/pytorch/visdom/2017/06/01/semantic-segmentation-over-the-years.html
tuananh1007/tuananh1007.github.io
My personal page
tuananh1007/3d-vision-transformers
A list of 3D computer vision papers with Transformers
tuananh1007/AI_Chem
tuananh1007/Assignments-CS231N-Convolutional-Neural-Networks-for-Visual-Recognition-2016-2017-
tuananh1007/Awesome-Instance-Segmentation
Some papers about instance segmentation
tuananh1007/Awesome-Transformer-Attention
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
tuananh1007/Awesome-Video-Instance-Segmentation-Papers
tuananh1007/awesome-vit
tuananh1007/bibtex-tidy
Cleaner and Formatter for BibTeX files
tuananh1007/BoostingMonocularDepth
tuananh1007/DCCDIF_project_page
tuananh1007/diffusion_models
All about the fundamentals and working of Diffusion Models
tuananh1007/DPT
Dense Prediction Transformers
tuananh1007/EffectivePyTorch
PyTorch tutorials and best practices.
tuananh1007/LargeScaleNeRFPytorch
1. Weekly classified NeRF literature. 2. Non-official implementation of Block-NeRF and Mega-NeRF in Pytorch. 3. Train your large-scale NeRF in the wild.
tuananh1007/latexify_py
A library to generate LaTeX expression from Python code.
tuananh1007/Mesh_Segmentation
some materials about mesh segmentation, including papers, videos, codes, and so on. Updating every day!
tuananh1007/MiDaS
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2020"
tuananh1007/Networks-Beyond-Attention
A compilation of network architectures for vision and others without usage of self-attention mechanism
tuananh1007/ODISE
Official PyTorch implementation of ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models [CVPR 2023 Highlight]
tuananh1007/opendr
A modular, open and non-proprietary toolkit for core robotic functionalities by harnessing deep learning
tuananh1007/paco
This repo contains documentation and code needed to use PACO dataset: data loaders and training and evaluation scripts for objects, parts, and attributes prediction models, query evaluation scripts, and visualization notebooks.
tuananh1007/point-cloud-utils
A Python library for common tasks on 3D point clouds
tuananh1007/scalable-pytorch-sinkhorn
Fast, Memory-Efficient Approximate Wasserstein Distances. This repository contains PyTorch code to compute fast p-Wasserstein distances between d-dimensional point clouds using the Sinkhorn Algorithm. This implementation uses linear memory overhead and is stable in float32, runs on the GPU, and fully differentiable.
tuananh1007/vit-visualization
tuananh1007/WriteCodeInLaTeX