Research

Research areas spanning domain generalization, multi-spectral learning, target tracking, generative AI, view-agnostic perception, and complex-valued deep learning.

Research

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Domain Generalization

Learning models that generalize to unseen target domains without target data during training.
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Multi-Spectral Learning

Fusion and cross-modal learning across RGB, infrared, and SAR imaging modalities for robust perception.
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Target Tracking

Robust detection and tracking of objects in dynamic, fast-paced environments across aerial and ground platforms.
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Generative AI for Perception

Using generative models to synthesize training data and bridge domain gaps for visual perception tasks.
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View-Agnostic Domain Generalization

Segmentation and detection models that generalize across aerial and ground viewpoints without view-specific retraining.
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Complex-Valued Deep Learning

Fully complex-valued neural architectures for signal and image processing with richer representational capacity.