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Cong-Reeshard.Ma's Projects

3d-vehicle-tracking icon 3d-vehicle-tracking

Official implementation of Joint Monocular 3D Vehicle Detection and Tracking (ICCV 2019)

ab3dmot icon ab3dmot

(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"

bark icon bark

🔊 Text-Prompted Generative Audio Model

beyond-part-models icon beyond-part-models

PCB of paper: Beyond Part Models: Person Retrieval with Refined Part Pooling, using Pytorch

bigvgan icon bigvgan

Official PyTorch implementation of BigVGAN (ICLR 2023)

cabbage icon cabbage

Unofficial Implementation of the paper: Multiple People Tracking by Lifted Multicut and Person Re-identification

caffe-reid icon caffe-reid

A Discriminatively Learned CNN Embedding for Person Re-identification

congma icon congma

Simple yet fully featured portfolio website

dasiamrpn icon dasiamrpn

[ECCV2018] Distractor-aware Siamese Networks for Visual Object Tracking

dcgan-tensorflow icon dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

deep-learning-interview-book icon deep-learning-interview-book

深度学习面试宝典(含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向)

deep-siamese-text-similarity icon deep-siamese-text-similarity

Tensorflow based implementation of deep siamese LSTM network to capture phrase/sentence similarity using character embeddings

deep_sort icon deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

det3d icon det3d

A general 3D object detection codebse.

detectron icon detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

eda_gnn icon eda_gnn

Graph Neural Based End-to-end Data Association Framework for Online Multiple-Object Tracking

examples icon examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fairmot icon fairmot

A simple baseline for one-shot multi-object tracking

fcn.tensorflow icon fcn.tensorflow

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

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