Beyond the Survey: A Systematic Empirical Study of Detection and Association in Visual MOT
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Brain-to-Image Generation: Reconstructing Visual Stimuli from EEG using Generative Adversarial Networks
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0.5\%>100\%: Bidirectional Reciprocal Learning for Referring Image Segmentation
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TreeSpark: Calibrated, Load-Adaptive Draft Trees for Semi-Autoregressive Speculative Decoding
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Context Poisoning as Extreme-Value Attention Interference in Long-Context Language Models
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Hierarchical Bayesian optimization of an aircraft-based multi-agent system-of-systems
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Toward Fairness in Machine Learning Models for Predicting Treatment Retention and Premature Discontinuation in Medication for Opioid Use Disorder
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Semi-automated reconstruction of indoor geometry from 360-degree video for CFD-based airflow analysis in classrooms
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HOIBlender: Blending Lightweight Detection with Vision-Language Priors for Efficient Human-Object Interaction Detection
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When Is Availability-Aware Training Worth It? A Benchmark and Empirical Study of Interruption-Resilient Optimization Under Predictable Compute Schedules
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Analyzing Public Discourse on Urbanism: Topic Clustering, Sentiment Analysis and Retrieval-Augmented Generation using YouTube Comments
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Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma by Integrating Multimodal Ultrasound and Clinical Data: A Multicenter Study
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