Pinned Repositories
CountGD
Includes the code for training and testing the CountGD model from the paper CountGD: Multi-Modal Open-World Counting.
CounTX
Includes FSC-147-D and the code for training and testing the CounTX model from the paper Open-world Text-specified Object Counting.
gradio-image-prompter-visible-boxes
Image prompter for Gradio with more visible boxes than original gradio-image-prompter
GroundingDINO
Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
HashNeRF-pytorch
Pure PyTorch Implementation of NVIDIA paper on Instant Training of Neural Graphics primitives: https://nvlabs.github.io/instant-ngp/
infinigen-counting-data
Infinite Photorealistic Worlds using Procedural Generation
instantcalibration
Includes the code for the paper: Instant Uncertainty Calibration of NeRFs Using a Meta-Calibrator (ECCV 2024)
instantcalibration.github.io
masa
Official Implementation of CVPR24 highligt paper: Matching Anything by Segmenting Anything
mmdetection
OpenMMLab Detection Toolbox and Benchmark
niki-amini-naieni's Repositories
niki-amini-naieni/CountGD
Includes the code for training and testing the CountGD model from the paper CountGD: Multi-Modal Open-World Counting.
niki-amini-naieni/CounTX
Includes FSC-147-D and the code for training and testing the CounTX model from the paper Open-world Text-specified Object Counting.
niki-amini-naieni/instantcalibration
Includes the code for the paper: Instant Uncertainty Calibration of NeRFs Using a Meta-Calibrator (ECCV 2024)
niki-amini-naieni/instantcalibration.github.io
niki-amini-naieni/gradio-image-prompter-visible-boxes
Image prompter for Gradio with more visible boxes than original gradio-image-prompter
niki-amini-naieni/GroundingDINO
Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
niki-amini-naieni/HashNeRF-pytorch
Pure PyTorch Implementation of NVIDIA paper on Instant Training of Neural Graphics primitives: https://nvlabs.github.io/instant-ngp/
niki-amini-naieni/infinigen-counting-data
Infinite Photorealistic Worlds using Procedural Generation
niki-amini-naieni/masa
Official Implementation of CVPR24 highligt paper: Matching Anything by Segmenting Anything
niki-amini-naieni/mmdetection
OpenMMLab Detection Toolbox and Benchmark
niki-amini-naieni/nerf-pytorch
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
niki-amini-naieni/Open-GroundingDino
This is the third party implementation of the paper Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.
niki-amini-naieni/segment-anything-gui
A matplotlib GUI to run the Segment Anything Model
niki-amini-naieni/starter-hugo-academic
niki-amini-naieni/torch-ngp
A pytorch CUDA extension implementation of instant-ngp (sdf and nerf), with a GUI.
niki-amini-naieni/wilds
A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.