hellohaozheng
A hardworking student who interests in AI, semantic segmentation, mutlimodal fusion, and computational photography.
Tsinghua Univ
hellohaozheng's Stars
AGI-Edgerunners/LLM-Next-Item-Rec
Code for the Paper "Zero-Shot Next-Item Recommendation using Large Pretrained Language Models"
resistzzz/Prompt4NR
Source code for SIGIR 2023 paper: Prompt Learning for News Recommendation
Doragd/Algorithm-Practice-in-Industry
搜索、推荐、广告、用增等工业界实践文章收集(来源:知乎、Datafuntalk、技术公众号)
westlake-repl/Recommendation-Systems-without-Explicit-ID-Features-A-Literature-Review
Paper List of Pre-trained Foundation Recommender Models
umautobots/lisnownet
LiSnowNet: Real-time Snow Removal for LiDAR Point Cloud
facebookresearch/faiss
A library for efficient similarity search and clustering of dense vectors.
alibaba/Curvature-Learning-Framework
Curvlearn, a Tensorflow based non-Euclidean deep learning framework.
waymo-research/waymo-open-dataset
Waymo Open Dataset
xiaoaoran/SynLiDAR
SynLiDAR: Synthetic LiDAR sequential point cloud dataset with point-wise annotations (AAAI2022)
cavayangtao/lanoise_pp
datawhalechina/fun-rec
推荐系统入门教程,在线阅读地址:https://datawhalechina.github.io/fun-rec/
tensorflow/recommenders
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
dvlab-research/SphereFormer
The official implementation for "Spherical Transformer for LiDAR-based 3D Recognition" (CVPR 2023).
xiaoaoran/SemanticSTF
(CVPR 2023) The official project of "3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds"
datawhalechina/hugging-llm
HuggingLLM, Hugging Future.
tier4/rainfall_modeling_open
Code to reproduce results in the paper 'Probabilistic Rainfall Estimation from Automotive Lidar'
uulm-mrm/aduulm_dataset_tools
Tools to process data from the ADUULM dataset
Significant-Gravitas/AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
zhulf0804/3D-PointCloud
Papers and Datasets about Point Cloud.
wangx1996/LIDAR-Segmentation-Based-on-Range-Image
This is a lidar segmentation method based on range image.
IDEA-Research/Grounded-Segment-Anything
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
luost26/score-denoise
:snowflake: Score-Based Point Cloud Denoising (ICCV 2021)
facebookresearch/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
twitter/the-algorithm
Source code for Twitter's Recommendation Algorithm
Gorilla-Lab-SCUT/VISTA
This repo presents you the official code of "VISTA: Boosting 3D Object Detection via Dual Cross-VIew SpaTial Attention"
Eaphan/GLENet
GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation [IJCV2023]
ShiQiu0419/attentions_in_3D_detection
Investigating Attention Mechanism in 3D Point Cloud Object Detection (3DV 2021)
rasd3/3D-Dual-Fusion
[Arxiv 2022] This is the official implementation of 3D Dual-Fusion: Dual-Domain Dual-Query Camera-LiDAR Fusion for 3D Object Detection
XuyangBai/TransFusion
[PyTorch] Official implementation of CVPR2022 paper "TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers". https://arxiv.org/abs/2203.11496
I2-Multimedia-Lab/ProxyFormer
ProxyFormer (CVPR 2023)