Pinned Repositories
3D-SIS
[CVPR'19] 3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans
Academic-Writing-Check
check for passive words, weasel words, duplicate words, typographical errors and words strunk & white don't like
AcademicFigures
Matlab scripts to create readable, color and high contrast figures for publications
AI_Curriculum
Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.
ai_for_robotics
Programming Exercises Accompanying the Lecture "Artificial Intelligence for Robotics"
EvalAI-Starters
How to create a challenge on EvalAI?
line_navigation_offline
pepper_navigation
selectKeyImagesLines
voxblox-plusplus_benchbot
A volumetric object-level semantic mapping framework.
suuman's Repositories
suuman/awesome-computer-vision
A curated list of awesome computer vision resources
suuman/Awesome-Masked-Autoencoders
A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).
suuman/Awesome-Referring-Image-Segmentation
:books: A collection of papers about Referring Image Segmentation.
suuman/Awesome-Segmentation-With-Transformer
Transformer-Based Visual Segmentation: A Survey
suuman/Awesome-Temporal-Action-Detection-Temporal-Action-Proposal-Generation
Temporal Action Detection & Weakly Supervised Temporal Action Detection & Temporal Action Proposal Generation
suuman/awesome-vision-and-language
A curated list of awesome vision and language resources (still under construction... stay tuned!)
suuman/awesome-vision-language-pretraining-papers
Recent Advances in Vision and Language PreTrained Models (VL-PTMs)
suuman/Awesome-Visual-Transformer
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
suuman/benchbot
BenchBot is a tool for seamlessly testing & evaluating semantic scene understanding tools in both realistic 3D simulation & on real robots
suuman/COMP6248
Deep Learning and Differentiable Programming
suuman/CS4243_2022
Computer Vision and Pattern Recognition, NUS CS4243, 2022
suuman/CVPR2023-Papers-with-Code
CVPR
suuman/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
suuman/DataScience_Interactive_Python
Python interactive dashboards for learning data science
suuman/deep_learning_for_vision_systems
This repository accompanies the book "Deep Learning for Vision Systems".
suuman/fastcampus_slam_codes
Code exercises for the SLAM course in 'Computer Vision, LiDAR processing, and Sensor Fusion for Autonomous Driving' lecture series
suuman/image-matching-toolbox
This is a toolbox repository to help evaluate various methods that perform image matching from a pair of images.
suuman/Kimera-RPGO
Robust Pose Graph Optimization
suuman/Kimera-Semantics
Real-Time 3D Semantic Reconstruction from 2D data
suuman/Kimera-VIO-ROS
ROS wrapper for Kimera-VIO
suuman/learnopencv
Learn OpenCV : C++ and Python Examples
suuman/lectures-labs
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris
suuman/links
suuman/Mask3D
Mask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D.
suuman/notebooks
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.
suuman/pixloc
Back to the Feature: Learning Robust Camera Localization from Pixels to Pose (CVPR 2021)
suuman/plvs
PLVS is a real-time SLAM system with points, lines, volumetric mapping and 3D unsupervised incremental segmentation.
suuman/The-Art-of-Linear-Algebra
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
suuman/Transformer-in-Computer-Vision
A paper list of some recent Transformer-based CV works.
suuman/voxfield
Voxfield: non-Projective Signed Distance Fields for Online Planning and 3D Reconstruction [IROS' 22]