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Activity Prediction

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/abduallahmohamed/social-implicit

공식 코드

Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation

https://github.com/aboulch/tec_prediction

공식 코드

Ionospheric activity prediction using convolutional recurrent neural networks

https://github.com/air-discover/llm-augmented-mtr

공식 코드

Large Language Models Powered Context-aware Motion Prediction in Autonomous Driving

https://github.com/alibaba/Deep-Vision/tree/main/Context-Motion-Decoupling

공식 코드

Self-supervised Video Representation Learning by Context and Motion Decoupling

https://github.com/alpha-innovator/novelseek

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NovelSeek: When Agent Becomes the Scientist -- Building Closed-Loop System from Hypothesis to Verification

https://github.com/ami-iit/paper_guo_2023_humanoids_lifting_risk_prediction

공식 코드

Online Action Recognition for Human Risk Prediction with Anticipated Haptic Alert via Wearables

https://github.com/andrebola/skip-challenge-wsdm

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Skip prediction using boosting trees based on acoustic features of tracks in sessions

https://github.com/aras62/vision-based-prediction

공식 코드

Deep Learning for Vision-based Prediction: A Survey

https://github.com/bouracha/OoDMotion

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Generative Model-Enhanced Human Motion Prediction

https://github.com/bradleywang0416/gcnext

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GCNext: Towards the Unity of Graph Convolutions for Human Motion Prediction

https://github.com/brinkl/graphhetnet

공식 코드

Few-shot human motion prediction for heterogeneous sensors

https://github.com/bshfang/self-supervised-motion

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Self-Supervised Bird's Eye View Motion Prediction with Cross-Modality Signals

https://github.com/cagatayyildiz/ODE2VAE

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ODE$^2$VAE: Deep generative second order ODEs with Bayesian neural networks

https://github.com/chengxuduan/advhmp

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Physics-constrained Attack against Convolution-based Human Motion Prediction

https://github.com/chinmay5/ms_ida

공식 코드

Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images

https://github.com/cing2/limtr

공식 코드

LiMTR: Time Series Motion Prediction for Diverse Road Users through Multimodal Feature Integration

https://github.com/coderj-one/giraffe-bench

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Benchmarking Sequential Visual Input Reasoning and Prediction in Multimodal Large Language Models

https://github.com/continental/empirical-bayes-analysis-of-object-trajectory

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An Empirical Bayes Analysis of Object Trajectory Representation Models

https://github.com/cr7anand/neural_temporal_models

공식 코드

A Neural Temporal Model for Human Motion Prediction

https://github.com/cram3r95/mapfe4mp

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Exploring Map-based Features for Efficient Attention-based Vehicle Motion Prediction

https://github.com/cschoeller/constant_velocity_pedestrian_motion

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What the Constant Velocity Model Can Teach Us About Pedestrian Motion Prediction

https://github.com/csjfwang/forecast-peft

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Forecast-PEFT: Parameter-Efficient Fine-Tuning for Pre-trained Motion Forecasting Models

https://github.com/cv-stuttgart/detectiondefenses

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Detection Defenses: An Empty Promise against Adversarial Patch Attacks on Optical Flow

https://github.com/cvlab-epfl/mvflow

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Multi-view Tracking Using Weakly Supervised Human Motion Prediction

https://github.com/david9dragon9/air

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$AIR^2$ for Interaction Prediction

https://github.com/decisionforce/mmTransformer

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Multimodal Motion Prediction with Stacked Transformers

https://github.com/dmytrozabolotnii/autoware_mini

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Pedestrian motion prediction evaluation for urban autonomous driving

https://github.com/droliven/diverse_sampling

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Diverse Human Motion Prediction via Gumbel-Softmax Sampling from an Auxiliary Space

https://github.com/dulucas/simlpe

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Back to MLP: A Simple Baseline for Human Motion Prediction

https://github.com/edodema/BestPractices2Body

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Best Practices for 2-Body Pose Forecasting

https://github.com/edshieh/motionprediction

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A Mixture of Experts Approach to 3D Human Motion Prediction

https://github.com/edwardleelpz/powerbev

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PowerBEV: A Powerful Yet Lightweight Framework for Instance Prediction in Bird's-Eye View

https://github.com/eth-ait/motion-transformer

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A Spatio-temporal Transformer for 3D Human Motion Prediction

https://github.com/evendrow/somoformer

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SoMoFormer: Multi-Person Pose Forecasting with Transformers

https://github.com/event-ahu/hardvs

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HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors

https://github.com/fabienbaradel/glimpse_clouds

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Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points

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