Intelligent Robotics and Vision Lab at the University of Texas at Dallas (IRVLUTD)

Intelligent Robotics and Vision Lab at the University of Texas at Dallas

IRVLUTD

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Location:United States of America

Home Page:https://labs.utdallas.edu/irvl/

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Intelligent Robotics and Vision Lab at the University of Texas at Dallas's repositories

Proto-CLIP

Code release for Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning

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SceneReplica

Code release for SceneReplica paper.

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handnet-pipeline

Hand Detection + Pose Estimation | https://arxiv.org/abs/2207.02959 | https://openreview.net/forum?id=OzP68WT3UA

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neuralgrasps-dataset-generation

Dataset generation for NeuralGrasps https://arxiv.org/abs/2207.02959

GraspTrajOpt

Trajectory optimization for grasping

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isaac_sim_grasping

First Grasping Projects in Isaac Sim

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fewsol-toolkit

Toolkit for the FewSOL dataset

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FewSOL-DataLoader

This repo hosts the PyTorch dataloader for FewSOL dataset

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isaac_sim_moveit

MoveIt interface for Isaac Sim

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meta-dataset

A dataset of datasets for learning to learn from few examples

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UnseenObjectClustering

Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation

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gdrnpp_bop2022

PyTorch Implementation of GDRNPP, winner (most of the awards) of the BOP Challenge 2022 at ECCV'22

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gqcnn

[DexNet] Python module for GQ-CNN training and deployment with ROS integration.

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OMG-Planner

An Optimization-based Motion and Grasp Planner

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PoseCNN-PyTorch-NV-Release

PyTorch implementation of the PoseCNN framework

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posecnn-pytorch

PyTorch implementation of the PoseCNN framework.

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XMem

[ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model

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bop_toolkit

A Python toolkit of the BOP benchmark for 6D object pose estimation.

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BundleSDF

[CVPR 2023] BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects

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contact_graspnet

Efficient 6-DoF Grasp Generation in Cluttered Scenes

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curobo

CUDA Accelerated Robot Library

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CVPR2020_GDNet

Segment Glass like objects

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deeplab2

DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.

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gensdf

Official code repository for the paper: “GenSDF: Two-Stage Learning of Generalizable Signed Distance Functions”

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megapose6d

Code for "MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare", CoRL 2022.

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partial_gensdf

Official code repository for the paper: “GenSDF: Two-Stage Learning of Generalizable Signed Distance Functions”

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