Dingkang Liang (dk-liang)

dk-liang

Geek Repo

Company:Huazhong University of Science & Technology

Location: Luoyu Road 1037, Wuhan, China

Home Page:https://dk-liang.github.io/

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Dingkang Liang's repositories

Awesome-Visual-Transformer

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

FIDTM

[IEEE TMM] Focal Inverse Distance Transform Maps for Crowd Localization

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Awesome-Segment-Anything

Collect some resource about Segment Anything (SAM), including the latest papers and demo

TransCrowd

[SCIS] TransCrowd: Weakly-Supervised Crowd Counting with Transformers

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CLTR

[ECCV 2022] An End-to-End Transformer Model for Crowd Localization

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CrowdCLIP

[CVPR 2023] CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model

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AutoScale

An implementation of AutoScale localization-based method [IJCV]

Awesome-GPT4-with-Applications

Awesome GPT-4 with Applications. This is a collection of resources related to GPT-4, including news, official documents, demo and applications.

AutoScale_regression

An implementation of AutoScale regression-based method

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pytorch2libtorch

A demo for using C++ to inference the pytorch model

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Awesome-Crowd-Counting

Awesome Crowd Counting

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VisDrone2021-TransCrowd

The core code for participating in VisDrone2021-Counting

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awesome-computer-vision

A curated list of awesome computer vision resources

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OpenPCDet

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

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SAM3D

SAM3D: Zero-Shot 3D Object Detection via Segment Anything Model

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awesome-robotics

A list of awesome Robotics resources

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centerformer

Implementation for CenterFormer: Center-based Transformer for 3D Object Detection (ECCV 2022)

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DID-M3D

[ECCV 2022] DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection.

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IIM

PyTorch implementations of the paper: "Learning Independent Instance Maps for Crowd Localization"

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mmdetection3d

OpenMMLab's next-generation platform for general 3D object detection.

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pyskl

A toolbox for skeleton-based action recognition.

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bibtechnology

2018-bibtechnology

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DAPT

[CVPR 2024] Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis

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PointMamba

PointMamba: A Simple State Space Model for Point Cloud Analysis

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