SOTAVerified

motion prediction

Papers

Showing 2650 of 597 papers

TitleStatusHype
BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous DrivingCode2
HiVT: Hierarchical Vector Transformer for Multi-Agent Motion PredictionCode2
Robust Motion In-betweeningCode2
AGI-Elo: How Far Are We From Mastering A Task?Code1
Future-Oriented Navigation: Dynamic Obstacle Avoidance with One-Shot Energy-Based Multimodal Motion PredictionCode1
UncAD: Towards Safe End-to-end Autonomous Driving via Online Map UncertaintyCode1
Trajectory Mamba: Efficient Attention-Mamba Forecasting Model Based on Selective SSMCode1
A Survey of World Models for Autonomous DrivingCode1
TAROT: Targeted Data Selection via Optimal TransportCode1
Multi-Transmotion: Pre-trained Model for Human Motion PredictionCode1
SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion PredictionCode1
MDMP: Multi-modal Diffusion for supervised Motion Predictions with uncertaintyCode1
Efficient Motion Prediction: A Lightweight & Accurate Trajectory Prediction Model With Fast Training and Inference SpeedCode1
Annealed Winner-Takes-All for Motion ForecastingCode1
ScaleFlow++: Robust and Accurate Estimation of 3D Motion from VideoCode1
DiFSD: Ego-Centric Fully Sparse Paradigm with Uncertainty Denoising and Iterative Refinement for Efficient End-to-End Self-DrivingCode1
Forecast-PEFT: Parameter-Efficient Fine-Tuning for Pre-trained Motion Forecasting ModelsCode1
Learning Semantic Latent Directions for Accurate and Controllable Human Motion PredictionCode1
ScaleFlow++: Robust and Accurate Estimation of 3D Motion from VideoCode1
FipTR: A Simple yet Effective Transformer Framework for Future Instance Prediction in Autonomous DrivingCode1
PhysORD: A Neuro-Symbolic Approach for Physics-infused Motion Prediction in Off-road DrivingCode1
Self-Supervised Class-Agnostic Motion Prediction with Spatial and Temporal Consistency RegularizationsCode1
Large Language Models Powered Context-aware Motion Prediction in Autonomous DrivingCode1
Context-based Interpretable Spatio-Temporal Graph Convolutional Network for Human Motion ForecastingCode1
GCNext: Towards the Unity of Graph Convolutions for Human Motion PredictionCode1
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