Thermal
PulseAugur coverage of Thermal — every cluster mentioning Thermal across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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ECCV 2026: AI research spans 3D reconstruction, urban, and thermal imaging
Researchers presented work at the European Conference on Computer Vision (ECCV) covering topics such as 3D reconstruction, urban environments, and thermal imaging. The conference is scheduled to reconvene in two years.
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New SAM-Radar framework enhances object tracking with multimodal sensor fusion
Researchers have introduced RGBTR-Motion, a new benchmark dataset for moving-object segmentation and tracking that integrates RGB, thermal, and radar streams. They also developed SAM-Radar, a framework that leverages th…
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Evidential Deep Learning Enhances Multi-Modal Anti-UAV Detection
Researchers have explored the application of Evidential Deep Learning (EDL) for improving multi-modal anti-UAV detection systems. The first paper investigates EDL heads and Dempster-Shafer fusion on benchmarks like Anti…
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Multimodal AI Classifies Red Deer Sex and Age from Drone Video
Researchers have developed a multimodal approach to classify sex and life stage in red deer using aerial RGB-thermal video. By fusing data from both sensors at every stage, the pipeline improves accuracy compared to usi…
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Seasonal priors improve wildlife classification in aerial imagery
Researchers have developed a method for improving wildlife classification in aerial imagery by incorporating seasonal priors. This approach addresses challenges such as animals occupying small pixel areas and varying vi…
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New framework learns pain cues from RGB facial videos, even with missing thermal/depth data
Researchers have developed ReMiX-MAE, a self-supervised multimodal masked pretraining framework designed to learn facial representations from synchronized RGB, thermal, and depth videos. This framework is specifically e…
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New frameworks enhance multimodal visual tracking accuracy and efficiency
Two new research papers propose novel frameworks for unified multimodal visual tracking, aiming to improve accuracy and efficiency. The first paper introduces ACTrack, an agentic coordination framework that treats vario…
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SegFly dataset and 2D-3D-2D paradigm advance aerial semantic segmentation
Researchers have introduced SegFly, a large-scale dataset and a novel 2D-3D-2D paradigm for aerial semantic segmentation using RGB and thermal imagery. This new approach automates label generation by leveraging multi-vi…