sungdaesim Goto Github PK

4dmos

Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions (RAL 2022)

apollo

An open autonomous driving platform

argoverse-api

Official GitHub repository for Argoverse dataset

argoverse-forecasting

Official Repository for Argoverse Motion Forecasting Baselines

awesome-interaction-aware-trajectory-prediction

A selection of state-of-the-art research materials on trajectory prediction

awesome-trajectory-prediction

binoculars

Binoculars: Zero-Shot Detection of LLM-Generated Text

calibnet

Self-Supervised Extrinsic Calibration using 3D Spatial Transformer Networks

elevation_mapping

Robot-centric elevation mapping for rough terrain navigation

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

mlc

A multi-LiDAR calibration package which is written by C++ and MATLAB.

mllm

Fast Multimodal LLM on Mobile Devices

next-prediction

Code and model for "Peeking into the Future: Predicting Future Person Activities and Locations in Videos", Liang et al, CVPR 2019

pytorch-tutorials-kr

PyTorch에서 제공하는 튜토리얼의 한국어 번역을 위한 저장소입니다. (Translate PyTorch tutorials in Korean.)

socialways

Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs (CVPR 2019)

sungdaesim.github.io

»Feeling Responsive« is a free flexible theme for Jekyll built on Foundation framework. You can use it for your company site, as a portfolio or as a blog.

tracknpred

Code base for our ACM CSCS 2019 paper:

trajectron

Code accompanying "The Trajectron: Probabilistic Multi-Agent Trajectory Modeling with Dynamic Spatiotemporal Graphs" by Boris Ivanovic and Marco Pavone.