temporal dynamics
The study of how systems evolve over time, important for modeling sequential data and temporal dependencies in time-series tasks.
- Accident Anticipation via Temporal Occurrence Prediction
- Delving into Large Language Models for Effective Time-Series Anomaly Detection
- Enhancing Temporal Understanding in Video-LLMs through Stacked Temporal Attention in Vision Encoders
- FAVOR-Bench: A Comprehensive Benchmark for Fine-Grained Video Motion Understanding
- Forging Time Series with Language: A Large Language Model Approach to Synthetic Data Generation
- From Play to Replay: Composed Video Retrieval for Temporally Fine-Grained Videos
- Generating Multi-Table Time Series EHR from Latent Space with Minimal Preprocessing
- HoliTom: Holistic Token Merging for Fast Video Large Language Models
- Learning Pattern-Specific Experts for Time Series Forecasting Under Patch-level Distribution Shift
- MonoLift: Learning 3D Manipulation Policies from Monocular RGB via Distillation
- NEED: Cross-Subject and Cross-Task Generalization for Video and Image Reconstruction from EEG Signals
- Neural Combinatorial Optimization for Time Dependent Traveling Salesman Problem
- Permutation Equivariant Neural Controlled Differential Equations for Dynamic Graph Representation Learning
- Rethinking Scale-Aware Temporal Encoding for Event-based Object Detection
- Self-supervised Learning of Echocardiographic Video Representations via Online Cluster Distillation
- Structured Temporal Causality for Interpretable Multivariate Time Series Anomaly Detection
- Token Bottleneck: One Token to Remember Dynamics
- ToolRL: Reward is All Tool Learning Needs
- Tracing the Roots: Leveraging Temporal Dynamics in Diffusion Trajectories for Origin Attribution
- UniMotion: A Unified Motion Framework for Simulation, Prediction and Planning
- VADB: A Large-Scale Video Aesthetic Database with Professional and Multi-Dimensional Annotations