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Activity Prediction

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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.

Temporal Continual Learning with Prior Compensation for Human Motion Prediction

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

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

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos

PDCNet: a benchmark and general deep learning framework for activity prediction of peptide-drug conjugates

FocalAD: Local Motion Planning for End-to-End Autonomous Driving

Multimodal Modeling of CRISPR-Cas12 Activity Using Foundation Models and Chromatin Accessibility Data

TrajFlow: Multi-modal Motion Prediction via Flow Matching

HUMOF: Human Motion Forecasting in Interactive Social Scenes

Rodrigues Network for Learning Robot Actions

Autoregression-free video prediction using diffusion model for mitigating error propagation

CodeMerge: Codebook-Guided Model Merging for Robust Test-Time Adaptation in Autonomous Driving

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

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

UPTor: Unified 3D Human Pose Dynamics and Trajectory Prediction for Human-Robot Interaction

Multi-Resolution Haar Network: Enhancing human motion prediction via Haar transform

AGI-Elo: How Far Are We From Mastering A Task?

CacheFlow: Fast Human Motion Prediction by Cached Normalizing Flow

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions

Patient-Specific Autoregressive Models for Organ Motion Prediction in Radiotherapy

Enhancing IoT Cyber Attack Detection in the Presence of Highly Imbalanced Data

Human Motion Prediction via Test-domain-aware Adaptation with Easily-available Human Motions Estimated from Videos

Boltzmann Classifier: A Thermodynamic-Inspired Approach to Supervised Learning

Collecting Human Motion Data in Large and Occlusion-Prone Environments using Ultra-Wideband Localization

Zero Dynamics Attack Detection and Isolation in Cyber-Physical Systems with Event-triggered Communication

Closing the Loop: Motion Prediction Models beyond Open-Loop Benchmarks

Dynamic Network Flow Optimization for Task Scheduling in PTZ Camera Surveillance Systems

Future-Oriented Navigation: Dynamic Obstacle Avoidance with One-Shot Energy-Based Multimodal Motion Prediction

UncAD: Towards Safe End-to-end Autonomous Driving via Online Map Uncertainty

GC-GAT: Multimodal Vehicular Trajectory Prediction using Graph Goal Conditioning and Cross-context Attention

LMFormer: Lane based Motion Prediction Transformer

A Self-Supervised Framework for Space Object Behaviour Characterisation

GAMDTP: Dynamic Trajectory Prediction with Graph Attention Mamba Network

Data Scaling Laws for End-to-End Autonomous Driving

Mitigating the Impact of Electrode Shift on Classification Performance in Electromyography-Based Motion Prediction Using Sliding-Window Normalization

L-LBVC: Long-Term Motion Estimation and Prediction for Learned Bi-Directional Video Compression

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.