Pinned Repositories
2022AICITY_Code_From_Top_Teams
codes from top teams of AI City Challenge 2022
3D-ResNets-PyTorch
3D ResNets for Action Recognition (CVPR 2018)
3d-vehicle-tracking
ACNet
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
acoustic-scene-analysis-with-multihead-self-attention
This repo contains implementation of the paper "Acoustic Scene Analysis With Multihead Self Attention" by Weimin Wang, Weiran Wang, Ming Sun, Chao Wang from Amazon Alexa team
ADNet_pytorch
ADNet implementation on pytorch
AICIty-reID-2020
:red_car: The 1st Place Submission to AICity Challenge 2020 re-id track (Baidu-UTS submission)
AICity2020-VOC-ReID
The 2nd place submission for AICity Challenge 2020 ReID track， VOC-ReID: Vehicle Re-identification based on Vehicle-Orientation-Camera
AICITY2020_DMT_VehicleReID
The 3rd Place Submission to AICity Challenge 2020 Track2
cvpr2019
cvpr2019 papers，极市团队整理
zhuMingXu's Repositories
zhuMingXu/Awesome-3D-LiDAR-Datasets
This reposiotry is the collection for public 3D LiDAR datasets
zhuMingXu/Awesome-Autonomous-Driving
awesome-autonomous-driving
zhuMingXu/Awesome-Talking-Head-Synthesis
💬 An extensive collection of exceptional resources dedicated to the captivating world of talking face synthesis! ⭐ If you find this repo useful, please give it a star! 🤩
zhuMingXu/bevfusion
[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
zhuMingXu/comment_3DGS
Code comment for 3DGS
zhuMingXu/CVPR-2024-Papers-Autonomous-Driving
CVPR 2024 Papers Autonomous Driving
zhuMingXu/diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
zhuMingXu/distill-bev
DistillBEV: Boosting Multi-Camera 3D Object Detection with Cross-Modal Knowledge Distillation (ICCV 2023)
zhuMingXu/EA-LSS
EA-LSS: Edge-aware Lift-splat-shot Framework for 3D BEV Object Detection
zhuMingXu/gaussian-splatting
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
zhuMingXu/gaussian_splatting_notes
A detailed formulae explanation on gaussian splatting
zhuMingXu/HashNeRF-pytorch
Pure PyTorch Implementation of NVIDIA paper on Instant Training of Neural Graphics primitives: https://nvlabs.github.io/instant-ngp/
zhuMingXu/Inpaint-Anything
Inpaint anything using Segment Anything and inpainting models.
zhuMingXu/instant-ngp
Instant neural graphics primitives: lightning fast NeRF and more
zhuMingXu/ISAT_with_segment_anything
Labeling tool with SAM(segment anything model),supports SAM, sam-hq, MobileSAM EdgeSAM etc.交互式半自动图像标注工具
zhuMingXu/label-studio
Label Studio is a multi-type data labeling and annotation tool with standardized output format
zhuMingXu/MapTR
[ICLR'23 Spotlight] MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction
zhuMingXu/MonoScene
[CVPR 2022] "MonoScene: Monocular 3D Semantic Scene Completion": 3D Semantic Occupancy Prediction from a single image
zhuMingXu/nerf-pytorch
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
zhuMingXu/nerfacc
A General NeRF Acceleration Toolbox in PyTorch.
zhuMingXu/nerfstudio
A collaboration friendly studio for NeRFs
zhuMingXu/Point-Clouds-3D-Perception-with-Open3D
Using the KITTI dataset, we employed Open3D to visualize, downsample, segment with RANSAC, cluster via DBSCAN, create 3D bounding boxes, and perform surface reconstruction on point clouds.
zhuMingXu/Pointcept
Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR'23)
zhuMingXu/ScalableMap
The official repository for ScalableMap (CoRL 2023)
zhuMingXu/SegAnyGAussians
The official implementation of SAGA (Segment Any 3D GAussians)
zhuMingXu/segment-lidar
Python package for segmenting LiDAR data using Segment-Anything Model (SAM) from Meta AI.
zhuMingXu/SegmentAnything3D
[ICCV'23 Workshop] SAM3D: Segment Anything in 3D Scenes
zhuMingXu/semantic-kitti-api
SemanticKITTI API for visualizing dataset, processing data, and evaluating results.
zhuMingXu/torchdistill
A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆24 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
zhuMingXu/VectorMapNet_code
This is the official code base of VectorMapNet (ICML 2023)