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Activity Prediction

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코드

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

https://github.com/facebookresearch/co-tracker

공식 코드

CoTracker: It is Better to Track Together

https://github.com/fanglaosi/skeleton-in-context

공식 코드

Skeleton-in-Context: Unified Skeleton Sequence Modeling with In-Context Learning

https://github.com/fau-is/next-best-action

공식 코드

Prescriptive Business Process Monitoring for Recommending Next Best Actions

https://github.com/fau-is/xnap

공식 코드

XNAP: Making LSTM-based Next Activity Predictions Explainable by Using LRP

https://github.com/fcntes/indoordepth

공식 코드

Deeper into Self-Supervised Monocular Indoor Depth Estimation

https://github.com/fengzicai/awesomewmad

공식 코드

A Survey of World Models for Autonomous Driving

https://github.com/fengzicai/wmad-benchmarks

공식 코드

A Survey of World Models for Autonomous Driving

https://github.com/fordcvresearch/fir-trajectory-prediction

공식 코드

FIR-based Future Trajectory Prediction in Nighttime Autonomous Driving

https://github.com/gaurav71531/spikeNetwork

공식 코드

Data-driven Perception of Neuron Point Process with Unknown Unknowns

https://github.com/ghksdl6025/streaming_anomaly_detect

공식 코드

The Analysis of Online Event Streams: Predicting the Next Activity for Anomaly Detection

https://github.com/google-research/google-research/tree/master/vct

공식 코드

VCT: A Video Compression Transformer

https://github.com/google-research/zapbench

공식 코드

ZAPBench: A Benchmark for Whole-Brain Activity Prediction in Zebrafish

https://github.com/google/next-prediction

공식 코드

Peeking into the Future: Predicting Future Person Activities and Locations in Videos

https://github.com/guoweixu368/sld-hmp

공식 코드

Learning Semantic Latent Directions for Accurate and Controllable Human Motion Prediction

https://github.com/hkust-aerial-robotics/dsp

공식 코드

Trajectory Prediction with Graph-based Dual-scale Context Fusion

https://github.com/hkust-aerial-robotics/simpl

공식 코드

SIMPL: A Simple and Efficient Multi-agent Motion Prediction Baseline for Autonomous Driving

https://github.com/hongsong-wang/PVRNN

공식 코드

PVRED: A Position-Velocity Recurrent Encoder-Decoder for Human Motion Prediction

https://github.com/hvision-nku/storydiffusion

공식 코드

StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation

https://github.com/hwj20/apex_exp

공식 코드

APEX: Empowering LLMs with Physics-Based Task Planning for Real-time Insight

https://github.com/hyqlat/ATACB

공식 코드

Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic

https://github.com/hyqlat/tcl

공식 코드

Temporal Continual Learning with Prior Compensation for Human Motion Prediction

https://github.com/hyunjs/sgt

공식 코드

Detection Recovery in Online Multi-Object Tracking with Sparse Graph Tracker

https://github.com/idiap/potr

공식 코드

Pose Transformers (POTR): Human Motion Prediction with Non-Autoregressive Transformers

https://github.com/idruglab/adcnet

공식 코드

ADCNet: a unified framework for predicting the activity of antibody-drug conjugates

https://github.com/jaakk0f/dstd-gcn

공식 코드

Learning Constrained Dynamic Correlations in Spatiotemporal Graphs for Motion Prediction

https://github.com/jarrentwu1031/sc4d

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SC4D: Sparse-Controlled Video-to-4D Generation and Motion Transfer

https://github.com/jasonwang959/stpmp

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Spatio-Temporal Branching for Motion Prediction using Motion Increments

https://github.com/jianzhou1212/interaction-safety-aware-motion-planning

공식 코드

Interaction-Aware Motion Planning for Autonomous Vehicles with Multi-Modal Obstacle Uncertainty Predictions

https://github.com/jiashunwang/MRT

공식 코드

Multi-Person 3D Motion Prediction with Multi-Range Transformers

https://github.com/jiayouqin/h-splitter

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Motor Focus: Fast Ego-Motion Prediction for Assistive Visual Navigation

https://github.com/jiayuzou2020/diffbev

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DiffBEV: Conditional Diffusion Model for Bird's Eye View Perception

https://github.com/jimmy-dq/dmt

공식 코드

A Lightweight and Detector-free 3D Single Object Tracker on Point Clouds

https://github.com/joker3993/rlhgnn

공식 코드

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes

https://github.com/jonghyeonk/kb-modulation

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Knowledge-Driven Modulation of Neural Networks with Attention Mechanism for Next Activity Prediction

https://github.com/jsun57/comusion

공식 코드

CoMusion: Towards Consistent Stochastic Human Motion Prediction via Motion Diffusion

https://github.com/junwenchen/GAP_SRAM

공식 코드

Group Activity Prediction with Sequential Relational Anticipation Model

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