Tahira Shehzadi's Projects
Repository for 3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image [BMVC 2018]
Implementation of CVPR'2022: 3D Shape Reconstruction from 2D Images with Disentangled Attribute Flow
Code & Models for 3DETR - an End-to-end transformer model for 3D object detection
Code for 3D Reconstruction of Novel Object Shapes from Single Images paper
3D-ReConstnet: A Single-View 3D-Object Point Cloud Reconstruction Network for more details,please see this link:and please cite our paper: https://ieeexplore.ieee.org/document/9086481?source=authoralert B. Li, Y. Zhang, B. Zhao and H. Shao, "3D-ReConstnet: A Single-View 3D-Object Point Cloud Reconstruction Network," in IEEE Access, vol. 8, pp. 83
A collection of 3D reconstruction papers in the deep learning era.
In this page, I will provide a list of survey papers on topics related to deep learning and its applications in various fields.
Collect some papers about transformer for detection and segmentation. Awesome Detection Transformer for Computer Vision (CV)
A collection of AWESOME things about domian adaptation
An awesome README template to jumpstart your projects!
Official codebase used to develop Vision Transformer, MLP-Mixer, LiT and more.
Generating Synthetic RGB-D Datasets for Texture-less Surfaces Reconstruction
blender python scripts
[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.
CloudCompare main repository
Cross-view Transformers for real-time Map-view Semantic Segmentation (CVPR 2022 Oral)
Creating custom object detection datasets in the formats of COCO and KITTI
[ICLR 2022] DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
End-to-End Object Detection with Transformers
Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"
DN-DETR for graphical Object Detection
DSGN++: Exploiting Visual-Spatial Relation for Stereo-based 3D Detectors (T-PAMI 2022)
Official source code of Fast Point Transformer, CVPR 2022
[ECCV2022] FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection
FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)
Simple pytorch implementation of focal loss