lipeng-gu
My name is Lipeng Gu. I am a Ph.D. in Computer Science and Technology at Nanjing University of Aeronautics and Astronautics. Research interests: 3D Vision.
Pinned Repositories
3D-Detection-Tracking-Viewer
3D detection and tracking viewer (visualization) for kitti & waymo dataset
AdaBound
An optimizer that trains as fast as Adam and as good as SGD.
Attention-Augmented-Conv2d
Implementing Attention Augmented Convolutional Networks using Pytorch
CenterNet
Object detection, 3D detection, and pose estimation using center point detection:
centerNet-deep-sort
realtime multiple people tracking (centerNet based person detector + deep sort algorithm with pytorch)
CenterNet3d
CenterNet3D An Anchor free Object Detector for Autonomous Driving
CenterNet3D-PyTorch
Unofficial PyTorch implementation of the paper: "CenterNet3D: An Anchor free Object Detector for Autonomous Driving"
CenterTrack
Simultaneous object detection and tracking using center points.
CSP
High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection, CVPR, 2019
PointSee
lipeng-gu's Repositories
lipeng-gu/PointSee
lipeng-gu/3D-Detection-Tracking-Viewer
3D detection and tracking viewer (visualization) for kitti & waymo dataset
lipeng-gu/Attention-Augmented-Conv2d
Implementing Attention Augmented Convolutional Networks using Pytorch
lipeng-gu/CenterNet
Object detection, 3D detection, and pose estimation using center point detection:
lipeng-gu/CenterNet3d
CenterNet3D An Anchor free Object Detector for Autonomous Driving
lipeng-gu/CenterNet3D-PyTorch
Unofficial PyTorch implementation of the paper: "CenterNet3D: An Anchor free Object Detector for Autonomous Driving"
lipeng-gu/CenterTrack
Simultaneous object detection and tracking using center points.
lipeng-gu/CSP
High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection, CVPR, 2019
lipeng-gu/deep-high-resolution-net.pytorch
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
lipeng-gu/EfficientNet-PyTorch
A PyTorch implementation of EfficientNet
lipeng-gu/FairMOT
A simple baseline for one-shot multi-object tracking
lipeng-gu/HRNet-Semantic-Segmentation
High-resolution representation learning (HRNets) for Semantic Segmentation
lipeng-gu/LaneDetection_End2End
End-to-end Lane Detection for Self-Driving Cars (ICCV 2019 Workshop)
lipeng-gu/lipeng-gu.github.io
lipeng-gu/LSTR
This is an official repository of End-to-end Lane Shape Prediction with Transformers.
lipeng-gu/mmMOT
[ICCV2019] Robust Multi-Modality Multi-Object Tracking
lipeng-gu/Multitarget-tracker
Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.
lipeng-gu/OctaveConv_pytorch
Pytorch implementation of newly added convolution
lipeng-gu/open-reid-tracking
open-reid with PCB, IDE, triplet, ZJU; MOT/MTMCT feature extraction support included
lipeng-gu/PolyLaneNet
Repository for the paper entitled "PolyLaneNet: Lane Estimation via Deep Polynomial Regression" (ICPR 2020)
lipeng-gu/py-motmetrics
:bar_chart: Benchmark multiple object trackers (MOT) in Python
lipeng-gu/PyTorch-YOLOv3
Minimal PyTorch implementation of YOLOv3
lipeng-gu/pytracking
Visual tracking library based on PyTorch.
lipeng-gu/RAdam
On the Variance of the Adaptive Learning Rate and Beyond
lipeng-gu/RepPointsV2
lipeng-gu/res2net-plus
Res2Net architecture with improved stem and Mish activation function
lipeng-gu/SiamDW
Deeper and Wider Siamese Networks for Real-Time Visual Tracking
lipeng-gu/Towards-Realtime-MOT
Joint Detection and Embedding for fast multi-object tracking
lipeng-gu/tpu
Reference models and tools for Cloud TPUs.
lipeng-gu/Ultra-Fast-Lane-Detection
Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)