Yong-Lu Li (DirtyHarryLYL)

DirtyHarryLYL

Geek Repo

Company:@MVIG-SJTU

Location:Shanghai

Home Page:https://dirtyharrylyl.github.io/

Twitter:@DirtyHa96142091

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Organizations
MVIG-RHOS

Yong-Lu Li's repositories

Transformer-in-Vision

Recent Transformer-based CV and related works.

LLM-in-Vision

Recent LLM-based CV and related works. Welcome to comment/contribute!

HOI-Learning-List

A list of Human-Object Interaction Learning.

Transferable-Interactiveness-Network

Code for Transferable Interactiveness Knowledge for Human-Object Interaction Detection. (CVPR'19, TPAMI'21)

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HAKE

HAKE: Human Activity Knowledge Engine (CVPR'18/19/20, NeurIPS'20, TPAMI'21)

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HAKE-Action-Torch

HAKE-Action in PyTorch

DJ-RN

As a part of HAKE project (HAKE-3D). Code for our CVPR2020 paper "Detailed 2D-3D Joint Representation for Human-Object Interaction".

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HAKE-Action

As a part of the HAKE project, includes the reproduced SOTA models and the corresponding HAKE-enhanced versions (CVPR2020).

SymNet

As a part of the HAKE project (HAKE-Object), code for SymNet (CVPR'20 and TPAMI'21).

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Sandwich

Bidirectional Mapping between Action Physical-Semantic Space

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sampling-argmax

Code for "Localization with Sampling-Argmax", NeurIPS 2021

SRDA-ECCV2018

ECCV2018: SRDA: Generating Instance Segmentation Annotation via Scanning, Reasoning and Domain Adaptation

labelKeypoint

Keypoints label tools

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AlphaPose

Multi-Person Pose Estimation System

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BBox-Label-Tool

A simple tool for labeling object bounding boxes in images

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Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow(tf1.3.0+cuda8+cudnn6)

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Body-Part-Map-for-Interactiveness

Code for ECCV2022 Paper "Mining Cross-Person Cues for Body-Part Interactiveness Learning in HOI Detection"

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detrex

IDEA Open Source Toolbox for Transformer Based Object Detection Algorithms

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pysot

SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.

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video_distillation

Official implementation of Dancing with Still Images: Video Distillation via Static-Dynamic Disentanglement.

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