Ruize Han

Frozen vision foundation models can be surprisingly effective at improving out-of-domain object detection by stabilizing relational modeling and semantic-spatial alignment in the detector.

A new benchmark dataset and challenge results highlight the state-of-the-art in infrared image super-resolution for remote sensing, pushing the field towards practical applications.

A unified benchmark reveals the trade-offs between pixel-wise accuracy and perceptual realism in state-of-the-art image super-resolution techniques.