AwaisNizamani16
I am the undergraduate student of FAST-National University doing bachelors in the field of Computer Science. I completed my intermediate from Commecs College.
FAST National University
Pinned Repositories
IPTApis
FAST ERP BACKEND
IPTProject
FAST ERP SYSTEM VIEW TIER
Assignments
The file contain all the small assignment works
DeepEMD
Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020
DownSyndromeStudentGames
GroundingDINO
Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
IPTApis
FAST ERP BACKEND
IPTProject
FAST ERP SYSTEM VIEW TIER
ners
Code for "NeRS: Neural Reflectance Surfaces for Sparse-View 3D Reconstruction in the Wild," in NeurIPS 2021
Segment-and-Track-Anything
An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.
AwaisNizamani16's Repositories
AwaisNizamani16/Assignments
The file contain all the small assignment works
AwaisNizamani16/DeepEMD
Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020
AwaisNizamani16/DownSyndromeStudentGames
AwaisNizamani16/GroundingDINO
Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
AwaisNizamani16/IPTApis
FAST ERP BACKEND
AwaisNizamani16/IPTProject
FAST ERP SYSTEM VIEW TIER
AwaisNizamani16/ners
Code for "NeRS: Neural Reflectance Surfaces for Sparse-View 3D Reconstruction in the Wild," in NeurIPS 2021
AwaisNizamani16/Segment-and-Track-Anything
An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.