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Activity Recognition In Videos
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Context-Aware Human Behavior Prediction Using Multimodal Large Language Models: Challenges and Insights
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
Self-Explaining Neural Networks for Business Process Monitoring
Persistent Homology-induced Graph Ensembles for Time Series Regressions
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
ZAPBench: A Benchmark for Whole-Brain Activity Prediction in Zebrafish
CRUPL: A Semi-Supervised Cyber Attack Detection with Consistency Regularization and Uncertainty-aware Pseudo-Labeling in Smart Grid
Forecasting Whole-Brain Neuronal Activity from Volumetric Video
Interpretable Data-Driven Ship Dynamics Model: Enhancing Physics-Based Motion Prediction with Parameter Optimization
HVIS: A Human-like Vision and Inference System for Human Motion Prediction
Human Motion Prediction, Reconstruction, and Generation
Semantics-aware Test-time Adaptation for 3D Human Pose Estimation
E2CB2former: Effecitve and Explainable Transformer for CB2 Receptor Ligand Activity Prediction
An Innovative Next Activity Prediction Approach Using Process Entropy and DAW-Transformer
Long-Term TalkingFace Generation via Motion-Prior Conditional Diffusion Model
Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features
VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models
Leveraging Large Language Models to Predict Antibody Biological Activity Against Influenza A Hemagglutinin
FlexCloud: Direct, Modular Georeferencing and Drift-Correction of Point Cloud Maps
Overcoming Semantic Dilution in Transformer-Based Next Frame Prediction
The Components of Collaborative Joint Perception and Prediction -- A Conceptual Framework
PackDiT: Joint Human Motion and Text Generation via Mutual Prompting
Towards Real-World Validation of a Physics-Based Ship Motion Prediction Model
Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models
A Survey of World Models for Autonomous Driving
Similarity-Quantized Relative Difference Learning for Improved Molecular Activity Prediction
Nonisotropic Gaussian Diffusion for Realistic 3D Human Motion Prediction
Temporal Dynamics Decoupling with Inverse Processing for Enhancing Human Motion Prediction
Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction
DeepMF: Deep Motion Factorization for Closed-Loop Safety-Critical Driving Scenario Simulation
Joint Perception and Prediction for Autonomous Driving: A Survey
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