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motion prediction
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논문
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Towards trustworthy multi-modal motion prediction: Holistic evaluation and interpretability of outputs
Multi-view Tracking Using Weakly Supervised Human Motion Prediction
Human Joint Kinematics Diffusion-Refinement for Stochastic Motion Prediction
It Takes Two: Masked Appearance-Motion Modeling for Self-supervised Video Transformer Pre-training
KP-RNN: A Deep Learning Pipeline for Human Motion Prediction and Synthesis of Performance Art
Motion Transformer with Global Intention Localization and Local Movement Refinement
Exploring Attention GAN for Vehicle Motion Prediction
RNGDet++: Road Network Graph Detection by Transformer with Instance Segmentation and Multi-scale Features Enhancement
MTR-A: 1st Place Solution for 2022 Waymo Open Dataset Challenge -- Motion Prediction
STPOTR: Simultaneous Human Trajectory and Pose Prediction Using a Non-Autoregressive Transformer for Robot Following Ahead
DMMGAN: Diverse Multi Motion Prediction of 3D Human Joints using Attention-Based Generative Adverserial Network
Multiple Object Tracking in Recent Times: A Literature Review
SIND: A Drone Dataset at Signalized Intersection in China
FLAME: Free-form Language-based Motion Synthesis & Editing
SoMoFormer: Multi-Person Pose Forecasting with Transformers
ProspectNet: Weighted Conditional Attention for Future Interaction Modeling in Behavior Prediction
Self-Supervised Face Presentation Attack Detection with Dynamic Grayscale Snippets
SoMoFormer: Social-Aware Motion Transformer for Multi-Person Motion Prediction
Prediction of Seismic Intensity Distributions Using Neural Networks
AutoLaparo: A New Dataset of Integrated Multi-tasks for Image-guided Surgical Automation in Laparoscopic Hysterectomy
Overlooked Poses Actually Make Sense: Distilling Privileged Knowledge for Human Motion Prediction
Motion-aware Memory Network for Fast Video Salient Object Detection
Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction
AlphaVC: High-Performance and Efficient Learned Video Compression
Hierarchically Self-Supervised Transformer for Human Skeleton Representation Learning
Diverse Human Motion Prediction via Gumbel-Softmax Sampling from an Auxiliary Space
Learning Disentangled Representations for Controllable Human Motion Prediction
Back to MLP: A Simple Baseline for Human Motion Prediction
Golfer: Trajectory Prediction with Masked Goal Conditioning MnM Network
Shifts 2.0: Extending The Dataset of Real Distributional Shifts
TENET: Transformer Encoding Network for Effective Temporal Flow on Motion Prediction
Conditioned Human Trajectory Prediction using Iterative Attention Blocks
Learn to Predict How Humans Manipulate Large-sized Objects from Interactive Motions
MPA: MultiPath++ Based Architecture for Motion Prediction
Unsupervised Kinematic Motion Detection for Part-segmented 3D Shape Collections
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