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how-do-vits-work

[Paper] (ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"

hoz

Hierarchical Object-to-Zone Graph for Object Navigation

hr-depth

[AAAI 2021] HR-Depth : High Resolution Self-Supervised Depth Estimation

hrformer

[Paper] This is an official implementation of our NeurIPS 2021 paper "HRFormer: High-Resolution Transformer for Dense Prediction".

humannerf

HumanNeRF turns a monocular video of moving people into a 360 free-viewpoint video.

hydra

ibc

[Paper] "Implicit Behavioral Cloning". Official implementation of Implicit Behavioral Cloning, as described in our CoRL 2021 paper, see more at https://implicitbc.github.io/

ibot

[Paper] iBOT: Image BERT Pre-Training with Online Tokenizer (ICLR 2022)

ibrnet

image-matching-benchmark

[Paper] "Image Matching Across Wide Baseline : From Paper to Practice" Public release of the Image Matching Benchmark: https://image-matching-challenge.github.io

imaging_lidar_place_recognition

[Paper] ICRA 2021 - Robust Place Recognition using an Imaging Lidar

imitation-learning

[Paper] Repository to store conditional imitation learning based AI that runs on CARLA.

implicit-slam

[Paper] [unofficial] "imap ... " Dense SLAM with an Implicit Neural Representation

implicit3dunderstanding

Official PyTorch code of Holistic 3D Scene Understanding from a Single Image with Implicit Representation (CVPR 2021). Also includes a PyTorch implementation of the decoder of LDIF (from 3D Shape Representation with Local Deep Implicit Functions).

imu-human-pose-pytorch

[Paper] This is an official Pytorch implementation of "Fusing Wearable IMUs with Multi-View Images for Human Pose Estimation: A Geometric Approach, CVPR 2020".

inerf-public

informer2020

[Paper] The GitHub repository for the paper "Informer" accepted by AAAI 2021.

instant-ngp

[Paper] "Instant Neural Graphics Primitives with a Multiresolution Hash Encoding" Instant neural graphics primitives: lightning fast NeRF and more

interp-e2e-driving

Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning

ion

This is the project of Instance Object Navigation for ACM MultiMedia 21

iris

Transformers are Sample Efficient World Models

jmodt

[Paper] Joint Multi-Object Detection and Tracking with Camera-LiDAR Fusion for Autonomous Driving

k-net

[Paper] [NeurIPS2021] Code Release of K-Net: Towards Unified Image Segmentation

kdma

[Paper] Human-Inspired Multi-Agent Navigation using Knowledge Distillation

learning_uav_pose_estimation

[Paper] [Under Construction] LZJ : Not verified this code. "Learning Pose Estimation for UAV Autonomous Navigation andLanding Using Visual-Inertial Sensor Data"

learningbycheating

[Paper] (CoRL 2019) Driving in CARLA using waypoint prediction and two-stage imitation learning

lego-loam

[Paper] LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain

lf-net-release

[Paper] Code Release for LF-Net: Learning Local Features from Images

light-field-networks

[Paper] Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering

lio-sam

LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping