tahirashehzadi
Deep Learning enthusiast.
Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI)Kaiserslautern Germany
Pinned Repositories
2pcnet
3DAttriFlow
Implementation of CVPR'2022: 3D Shape Reconstruction from 2D Images with Disentangled Attribute Flow
3detr
Code & Models for 3DETR - an End-to-end transformer model for 3D object detection
3DShapeGen
Code for 3D Reconstruction of Novel Object Shapes from Single Images paper
awesome-deep-learning-survey-papers
In this page, I will provide a list of survey papers on topics related to deep learning and its applications in various fields.
awesome-detection-transformer
Collect some papers about transformer for detection and segmentation. Awesome Detection Transformer for Computer Vision (CV)
Best-README-Template
An awesome README template to jumpstart your projects!
blender_texless_data
Generating Synthetic RGB-D Datasets for Texture-less Surfaces Reconstruction
cross_view_transformers
Cross-view Transformers for real-time Map-view Semantic Segmentation (CVPR 2022 Oral)
Filter-Classes-of-coco-dataset
tahirashehzadi's Repositories
tahirashehzadi/Filter-Classes-of-coco-dataset
tahirashehzadi/2pcnet
tahirashehzadi/3DAttriFlow
Implementation of CVPR'2022: 3D Shape Reconstruction from 2D Images with Disentangled Attribute Flow
tahirashehzadi/awesome-deep-learning-survey-papers
In this page, I will provide a list of survey papers on topics related to deep learning and its applications in various fields.
tahirashehzadi/awesome-detection-transformer
Collect some papers about transformer for detection and segmentation. Awesome Detection Transformer for Computer Vision (CV)
tahirashehzadi/Best-README-Template
An awesome README template to jumpstart your projects!
tahirashehzadi/cross_view_transformers
Cross-view Transformers for real-time Map-view Semantic Segmentation (CVPR 2022 Oral)
tahirashehzadi/DINO
Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"
tahirashehzadi/fcaf3d
[ECCV2022] FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection
tahirashehzadi/lazypredict
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
tahirashehzadi/mmdetection3d
OpenMMLab's next-generation platform for general 3D object detection.
tahirashehzadi/monodepth_benchmark
Code for "Deconstructing Monocular Depth Reconstruction: The Design Decisions that Matter" (https://arxiv.org/abs/2208.01489)
tahirashehzadi/pandaset-devkit
tahirashehzadi/table-transformer
Model training and evaluation code for our dataset PubTables-1M, developed to support the task of table extraction from unstructured documents.
tahirashehzadi/tahirashehzadi
tahirashehzadi/Transformer-Explainability
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
tahirashehzadi/awesome-3d-reconstruction-papers
A collection of 3D reconstruction papers in the deep learning era.
tahirashehzadi/big_vision
Official codebase used to develop Vision Transformer, MLP-Mixer, LiT and more.
tahirashehzadi/bpy
blender python scripts
tahirashehzadi/C2Fnet-Multiview-Reconstruction
tahirashehzadi/CIRKD
[CVPR-2022] Official implementations of CIRKD: Cross-Image Relational Knowledge Distillation for Semantic Segmentation and implementations on Cityscapes, ADE20K, COCO-Stuff., Pascal VOC and CamVid.
tahirashehzadi/CloudCompare
CloudCompare main repository
tahirashehzadi/PubTables-coco-format
tahirashehzadi/PyMeshLab
The open source mesh processing python library
tahirashehzadi/ScanNet
tahirashehzadi/sdfstudio
A Unified Framework for Surface Reconstruction
tahirashehzadi/semi-vit
PyTorch implementation of Semi-supervised Vision Transformers
tahirashehzadi/top-cvpr-2023-papers
This repository is a curated collection of the most exciting and influential CVPR 2023 papers. 🔥 [Paper + Code]
tahirashehzadi/transformer_object_detection_survey
tahirashehzadi/unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities