A research team from the Visual Perception and Cognition Laboratory and the Cognitive Neurotechnology Unit at Toyohashi University of Technology investigated how the movements of autonomous mobile ...
As a self-driving car cruises down a street, it uses cameras and sensors to perceive its environment, taking in information on pedestrians, traffic ...
With this update, 1X Technologies' NEO leverages internet-scale video data fine-tuned on robot data to perform AI tasks.
CES 2026 showcases the latest AI-powered devices and systems, from vision chips for automotive to sensing solutions for AI ...
Abstract: Consistency in 3D tracking is critical for vision-based autonomous driving systems. However, most existing multi-object tracking (MOT) methods are confronted with the limitation: detectors ...
DEIMv2 is an evolution of the DEIM framework while leveraging the rich features from DINOv3. Our method is designed with various model sizes, from an ultra-light version up to S, M, L, and X, to be ...
Abstract: The vision-language tracking task aims to perform object tracking based on various modality references. Existing Transformer-based vision-language tracking methods have made remarkable ...
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