Abstract: There are two mainstream approaches for object detection: top-down and bottom-up. The state-of-the-art approaches are mainly top-down methods. In this paper, we demonstrate that bottom-up ...
A group of college students braved the frigid New England weather on Dec. 13, 2025, to attend a late afternoon review session at Brown University in ...
Abstract: We present Recurrent Vision Transformers (RVTs), a novel backbone for object detection with event cameras. Event cameras provide visual information with submillisecond latency at a ...
The diagnostic armamentarium for solid tumors is evolving rapidly, redefining how we detect, stage, stratify, monitor, and ultimately treat cancer. This ...
The MCED test shows similar performance in cancer survivors and the general population, with a PPV of 50% and high ...
Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...
To help fire departments in the utility’s local service areas better serve their communities, California Water Service (Cal ...
Elon Musk mocks Waymo after rival's self-driving cars stopped at intersections during San Francisco power outage, while ...
State-sponsored cyberthreats, like the Volt Typhoon campaign attributed to China, have reinforced a harsh reality: Utility companies and critical ...
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