Papers Temporal Sequences
“Temporal Sequences” 태그가 달린 논문 270편 · 필터 해제
LLMs for Zero-Shot Threat Detection via Structured Risk Indicators
We propose a two-stage large language model (LLM) framework for zero-shot detection of insider threats and advanced persistent threats (APTs) from heterogeneous security logs. The framework models user activity as chrono…
Temporal SequencesFVAttn: Adaptive Sparse Attention with Runtime Load Balancing for Video Generation
Video Diffusion Transformers process long spatio-temporal sequences, making self-attention the main bottleneck in high-resolution video generation. Training-free sparse attention reduces this cost, but adaptive Top-p rou…
Temporal SequencesVideo GenerationPrivacy-Preserving Person Re-Identification from Temporal Sequences with Transformer and Hungarian Optimization
Person re-identification (Re-ID) is a crucial task in surveillance and human behavior analysis, often used in public spaces such as transport hubs. Traditional RGB-based Re-ID methods raise privacy concerns and are highl…
Person Re-IdentificationTemporal SequencesSafeGen-Bench: Benchmarking Safety in Image-Conditioned Text-to-Video Generation
With the rapid advancements in text-to-image diffusion models, generative video models (T2V models) like Sora can now produce short synthetic videos from a text prompt or an initial image. However, synthetic video genera…
Text-to-Video GenerationTemporal SequencesUncertainty-DTW for Sequences and Visual Tokens
Aligning structured data is a fundamental problem in computer vision and machine learning, underlying tasks such as time series analysis, human action recognition, and visual representation learning. Existing alignment m…
Representation LearningTime Series AnalysisTemporal SequencesAction RecognitionBeyond Fixed Points: Superpolynomial Capacity of Asymmetric Hopfield Networks
Classical Hopfield networks are limited to static patterns due to symmetric weights, whereas asymmetric networks can encode temporal sequences via limit-cycle attractors. Achieving high-capacity storage of long sequences…
Temporal SequencesSCOPE: Simulating Cross-game Operations in Playable Environments for FPS World Models
Interactive world models for first-person shooter (FPS) games must resolve high-frequency overlapping control signals at every frame without disrupting unaffected regions. Existing methods inject actions globally and tra…
Temporal SequencesTruncated Neural Likelihood Estimation for Simulation-Based Inference in State-Space Models
State-space models (SSMs) are powerful probabilistic tools for modeling time-varying systems with latent dynamics. Inference in SSMs involves the estimation of latent states and parameters. In this work, we focus on para…
Temporal SequencesBayesian InferenceChronoEarth-492K: A Large Scale and Long Horizon Spatiotemporal Hyperspectral Earth Observation Dataset and Benchmark
Hyperspectral imaging (HSI) provides dense spectral information for the Earth's surface, enabling material-level understanding of land cover and ecosystem dynamics. Despite recent progress in hyperspectral self-supervise…
Self-Supervised LearningRepresentation LearningTemporal SequencesCan LLM Agents Respond to Disasters? Benchmarking Heterogeneous Geospatial Reasoning in Emergency Operations
Operational disaster response goes beyond damage assessment, requiring responders to integrate multi-sensor signals, reason over road networks, populations and key facilities, plan evacuations, and produce actionable rep…
Temporal SequencesGenerative AI for Visualizing Highway Construction Hazards Through Synthetic Images and Temporal Sequences
Highway construction workers face a high risk of serious injury or death. Image-based training materials depicting hazardous scenarios are essential for engaging safety instruction but remain scarce due to ethical and lo…
Temporal SequencesSemantic RetrievalImage GenerationSSDA: Bridging Spectral and Structural Gaps via Dual Adaptation for Vision-Based Time Series Forecasting
Large vision models (LVMs) have recently proven to be surprisingly effective time series forecasters, simply by rendering temporal data as images. This success, how ever, rests on a largely unexamined premise: the render…
Time Series ForecastingTemporal SequencesFrom Drops to Grid: Noise-Aware Spatio-Temporal Neural Process for Rainfall Estimation
High-resolution rainfall observations are crucial for weather forecasting, water management, and hazard mitigation. Traditional operational measurements are often biased and low-resolution, limiting their ability to capt…
Weather ForecastingTemporal SequencesA Novel Preprocessing-Driven Approach to Remaining Useful Life (RUL) Prediction Using Temporal Convolutional Networks (TCN)
Accurate prediction of Remaining Useful Life (RUL) in aero-engines is vital for predictive maintenance, improved operational reliability, and reduced lifecycle costs. While deep learning approaches have demonstrated stro…
Temporal SequencesGAFSV-Net: A Vision Framework for Online Signature Verification
Online signature verification (OSV) requires distinguishing skilled forgeries from genuine samples under high intra-class variability and with very few enrollment samples. Existing deep learning methods operate directly …
Temporal SequencesSnapPose3D: Diffusion-Based Single-Frame 2D-to-3D Lifting of Human Poses
Depth ambiguity and joint uncertainty are the two main obstacles in obtaining accurate human pose predictions by 2D-to-3D lifting methods proposed in the literature. In particular, these issues are caused by 2D joint loc…
3D Human Pose EstimationTemporal SequencesA Non-Invasive Alternative to RFID: Self-Sufficient 3D Identification of Group-Housed Livestock
Accurate identification of individual farm animals in group-housed environments is a cornerstone of precision livestock management. However, current industry standards rely heavily on Radio Frequency Identification (RFID…
Temporal SequencesOne-Block Transformer (1BT) for EEG-Based Cognitive Workload Assessment
Accurate and continuous estimation of cognitive workload is fundamental to creating adaptive human-machine systems. However, designing architectures that balance representational capacity with computational efficiency ha…
Computational EfficiencyTemporal SequencesEmergence Transformer: Dynamical Temporal Attention Matters
The Transformer, a breakthrough architecture in artificial intelligence, owes its success to the attention mechanism, which utilizes long-range interactions in sequential data, enabling the emergent coherence between lar…
Temporal SequencesContinual LearningAutomated Classification of Plasma Regions at Mars Using Machine Learning
The plasma environment around Mars is highly variable because it is strongly influenced by the solar wind. Accurate identification of plasma regions around Mars is important for the community studying solar wind-Mars int…
Temporal Sequences