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motion prediction
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
ESVO2: Direct Visual-Inertial Odometry with Stereo Event Cameras
SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion Prediction
MDMP: Multi-modal Diffusion for supervised Motion Predictions with uncertainty
Stochasticity in Motion: An Information-Theoretic Approach to Trajectory Prediction
BadHMP: Backdoor Attack against Human Motion Prediction
Fine-Tuning Hybrid Physics-Informed Neural Networks for Vehicle Dynamics Model Estimation
S2O: Static to Openable Enhancement for Articulated 3D Objects
CASPFormer: Trajectory Prediction from BEV Images with Deformable Attention
Data-efficient Trajectory Prediction via Coreset Selection
Efficient Motion Prediction: A Lightweight & Accurate Trajectory Prediction Model With Fast Training and Inference Speed
Bayesian-Optimized One-Step Diffusion Model with Knowledge Distillation for Real-Time 3D Human Motion Prediction
Hypergraph-based Motion Generation with Multi-modal Interaction Relational Reasoning
Annealed Winner-Takes-All for Motion Forecasting
ScaleFlow++: Robust and Accurate Estimation of 3D Motion from Video
DiFSD: Ego-Centric Fully Sparse Paradigm with Uncertainty Denoising and Iterative Refinement for Efficient End-to-End Self-Driving
Robust Dual Gaussian Splatting for Immersive Human-centric Volumetric Videos
Synergy and Synchrony in Couple Dances
Multi-scale Temporal Fusion Transformer for Incomplete Vehicle Trajectory Prediction
MambaTrack: A Simple Baseline for Multiple Object Tracking with State Space Model
Towards Practical Human Motion Prediction with LiDAR Point Clouds
Pedestrian Motion Prediction Using Transformer-based Behavior Clustering and Data-Driven Reachability Analysis
Past Movements-Guided Motion Representation Learning for Human Motion Prediction
Forecast-PEFT: Parameter-Efficient Fine-Tuning for Pre-trained Motion Forecasting Models
Flow-guided Motion Prediction with Semantics and Dynamic Occupancy Grid Maps
Learning Semantic Latent Directions for Accurate and Controllable Human Motion Prediction
ScaleFlow++: Robust and Accurate Estimation of 3D Motion from Video
Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization of Motion Forecasting
Deep Learning-Based Robust Multi-Object Tracking via Fusion of mmWave Radar and Camera Sensors
BEVWorld: A Multimodal World Model for Autonomous Driving via Unified BEV Latent Space
Engineering an Efficient Object Tracker for Non-Linear Motion
FootBots: A Transformer-based Architecture for Motion Prediction in Soccer
neuROSym: Deployment and Evaluation of a ROS-based Neuro-Symbolic Model for Human Motion Prediction
FutureNet-LOF: Joint Trajectory Prediction and Lane Occupancy Field Prediction with Future Context Encoding
iMotion-LLM: Motion Prediction Instruction Tuning
Spatial and social situation-aware transformer-based trajectory prediction of autonomous systems
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