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motion prediction

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Temporal Continual Learning with Prior Compensation for Human Motion Prediction

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

AMPLIFY: Actionless Motion Priors for Robot Learning from Videos

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

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

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

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

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

A Retina-Inspired Pathway to Real-Time Motion Prediction inside Image Sensors for Extreme-Edge Intelligence

Enhancing Human Motion Prediction via Multi-range Decoupling Decoding with Gating-adjusting Aggregation

Gaze-Guided 3D Hand Motion Prediction for Detecting Intent in Egocentric Grasping Tasks

MoFlow: One-Step Flow Matching for Human Trajectory Forecasting via Implicit Maximum Likelihood Estimation based Distillation

Trajectory Mamba: Efficient Attention-Mamba Forecasting Model Based on Selective SSM

LEGO-Motion: Learning-Enhanced Grids with Occupancy Instance Modeling for Class-Agnostic Motion Prediction

Controllable Motion Generation via Diffusion Modal Coupling

Interpretable Data-Driven Ship Dynamics Model: Enhancing Physics-Based Motion Prediction with Parameter Optimization

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