lannio

3dgcn

Convolution in the Cloud: Learning Deformable Kernels in 3D Graph Convolution Networks for Point Cloud Analysis

3DSSD-pytorch-openPCDet

The successful implementation of 3DSSD in Pytorch

ADTrack

Matlab implementation of ADTrack

ADTrack_v2

Matlab implementation of ADTrack for TSP

argoverse-api

Official GitHub repository for Argoverse dataset

argoverse-forecasting

Official Repository for Argoverse Motion Forecasting Baselines

ASFF

yolov3 with mobilenet v2 and ASFF

Awesome-Interaction-aware-Trajectory-Prediction

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

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

Awesome-Temporal-Action-Localization

A curated list of temporal action localization/detection and related area (e.g. temporal action proposal) resources.

lannio/Awesome-Temporal-Action-Localization

A curated list of temporal action localization/detection and related area (e.g. temporal action proposal) resources.

lannio/Awesome-Trajectory-Prediction

lannio/ContrastiveSceneContexts

Code for CVPR 2021 oral paper "Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts"

lannio/ContrastNet

lannio/conv-social-pooling

Code for model proposed in: Nachiket Deo and Mohan M. Trivedi,"Convolutional Social Pooling for Vehicle Trajectory Prediction." CVPRW, 2018

lannio/dataset-api

Api for visualize sample data, evaluation of different tasks

lannio/ddpo

Code for the paper "Training Diffusion Models with Reinforcement Learning"

lannio/ddpo-pytorch

DDPO for finetuning diffusion models, implemented in PyTorch with LoRA support

lannio/Diffusion-Policies-for-Offline-RL

lannio/Human-Path-Prediction

State-of-the-art methods for human trajectory forecasting. Contains code for papers published at ECCV 2020 and ICCV 2021.

lannio/KalmanBaseline

Baseline Kalman models for trajectory predictions. One is constant velocity LSTM

lannio/lannio.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

lannio/lbebm

lannio/learning_research

本人博士期间的科研经验

lannio/LED

[CVPR2023] Leapfrog Diffusion Model for Stochastic Trajectory Prediction

lannio/MemoNet

[CVPR2022] Remember Intentions: Retrospective-Memory-based Trajectory Prediction

lannio/MID

Official Implementation for CVPR2022 Paper "Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion"

lannio/minDiffusion

Self-contained, minimalistic implementation of diffusion models with Pytorch.

lannio/mmdetection

OpenMMLab Detection Toolbox and Benchmark

lannio/mmTransformer

[CVPR 2021] "Multimodal Motion Prediction with Stacked Transformers": official code implementation and project page.

lannio/QueryDet-PyTorch

[CVPR 2022 Oral] QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection

lannio/SGTN

lannio/Simple_Reinforcement_Learning

lannio/social-nce

[ICCV21] Official implementation of the "Social NCE: Contrastive Learning of Socially-aware Motion Representations" in PyTorch.

lannio/social-nce-stgcnn

[ICCV'21] Official implementation of the "Social NCE: Contrastive Learning of Socially-aware Motion Representations" in PyTorch, for Social-STGCNN on trajectory forecasting.

lannio/Social-STGCNN

Code for "Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction" CVPR 2020

lannio/TrafficPredict

Pytorch implementation for "TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents"

lannio/Trajectron-plus-plus

Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).

lannio/YOHO

You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors

lannio/ZJU-CS-GIS-ClassNotes

一个浙江大学本科生的计算机、地理信息科学知识库 包含课程资料 学习笔记 大作业等（ 数据结构与算法、人工智能、地理空间数据库、计算机组成、计算机网络、图形学、编译原理等课程）