Pinned Repositories
3DTrans
An open-source codebase for exploring autonomous driving pre-training
BEVDepth
Official code for BEVDepth.
BEVFormer
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
bevfusion-mit
[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
Bradgers
Config files for my GitHub profile.
CenterPoint
TensorRT deployment for CenterPoint Lidar Detection Model.
CLIP-LIT
[ICCV 2023, Oral] Iterative Prompt Learning for Unsupervised Backlit Image Enhancement
CMD
Data and code for ECCV2024 paper "CMD: A Cross Mechanism Domain Adaptation Dataset for 3D Object Detection".
contrastive-unpaired-translation
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
CUDA-PointPillars
A project demonstrating how to use CUDA-PointPillars to deal with cloud points data from lidar.
Bradgers's Repositories
Bradgers/3DTrans
An open-source codebase for exploring autonomous driving pre-training
Bradgers/BEVDepth
Official code for BEVDepth.
Bradgers/BEVFormer
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
Bradgers/bevfusion-mit
[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
Bradgers/Bradgers
Config files for my GitHub profile.
Bradgers/CenterPoint
TensorRT deployment for CenterPoint Lidar Detection Model.
Bradgers/CLIP-LIT
[ICCV 2023, Oral] Iterative Prompt Learning for Unsupervised Backlit Image Enhancement
Bradgers/CMD
Data and code for ECCV2024 paper "CMD: A Cross Mechanism Domain Adaptation Dataset for 3D Object Detection".
Bradgers/contrastive-unpaired-translation
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
Bradgers/CUDA-PointPillars
A project demonstrating how to use CUDA-PointPillars to deal with cloud points data from lidar.
Bradgers/CUDA_Freshman
Bradgers/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
Bradgers/DSFusion
Code base of the BEVDet series .
Bradgers/DSVT
[CVPR2023] Official Implementation of "DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets"
Bradgers/DSVT-AI-TRT
DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets(CVPR2023),vaymo vehicle 3D Object Detection(top2), waymo cyclist 3D Object Detection(top1),waymo pedestrian 3D Object Detection(top1)
Bradgers/EnlightenGAN
[IEEE TIP] "EnlightenGAN: Deep Light Enhancement without Paired Supervision" by Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang
Bradgers/leedl-tutorial
《李宏毅深度学习教程》（李宏毅老师推荐👍），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
Bradgers/leveldb
LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.
Bradgers/MachineLearningNotes
My personal notes
Bradgers/mmdetection3d
OpenMMLab's next-generation platform for general 3D object detection.
Bradgers/nuscenes-devkit
The devkit of the nuScenes dataset.
Bradgers/OpenPCDet
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
Bradgers/SCI
[CVPR 2022] This is the official code for the paper "Toward Fast, Flexible, and Robust Low-Light Image Enhancement".
Bradgers/STEPS
This is the official repository for ICRA-2023 paper "STEPS: Joint Self-supervised Nighttime Image Enhancement and Depth Estimation"
Bradgers/tensorrtx
Implementation of popular deep learning networks with TensorRT network definition API
Bradgers/UVTR
Unifying Voxel-based Representation with Transformer for 3D Object Detection (NeurIPS 2022)
Bradgers/Voxel-Mamba
Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection
Bradgers/WaymoObjectDetection
Object Detection training and evaluation based on Waymo Dataset
Bradgers/yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Bradgers/Zero-DCE_extension