SOTAVerified

motion prediction

Papers

Showing 76–100 of 597 papers

TitleStatusHype
LoRD: Adapting Differentiable Driving Policies to Distribution ShiftsCode0
ESVO2: Direct Visual-Inertial Odometry with Stereo Event CamerasCode2
SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion PredictionCode1
MDMP: Multi-modal Diffusion for supervised Motion Predictions with uncertaintyCode1
Stochasticity in Motion: An Information-Theoretic Approach to Trajectory Prediction—0
BadHMP: Backdoor Attack against Human Motion Prediction—0
Fine-Tuning Hybrid Physics-Informed Neural Networks for Vehicle Dynamics Model Estimation—0
S2O: Static to Openable Enhancement for Articulated 3D Objects—0
CASPFormer: Trajectory Prediction from BEV Images with Deformable Attention—0
Data-efficient Trajectory Prediction via Coreset Selection—0
Efficient Motion Prediction: A Lightweight & Accurate Trajectory Prediction Model With Fast Training and Inference SpeedCode1
Bayesian-Optimized One-Step Diffusion Model with Knowledge Distillation for Real-Time 3D Human Motion Prediction—0
Hypergraph-based Motion Generation with Multi-modal Interaction Relational Reasoning—0
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
Robust Dual Gaussian Splatting for Immersive Human-centric Volumetric Videos—0
Synergy and Synchrony in Couple Dances—0
Multi-scale Temporal Fusion Transformer for Incomplete Vehicle Trajectory Prediction—0
MambaTrack: A Simple Baseline for Multiple Object Tracking with State Space Model—0
Towards Practical Human Motion Prediction with LiDAR Point Clouds—0
Pedestrian Motion Prediction Using Transformer-based Behavior Clustering and Data-Driven Reachability Analysis—0
Past Movements-Guided Motion Representation Learning for Human Motion PredictionCode0
Forecast-PEFT: Parameter-Efficient Fine-Tuning for Pre-trained Motion Forecasting ModelsCode1
Flow-guided Motion Prediction with Semantics and Dynamic Occupancy Grid Maps—0
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