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cs.CV2026

AquaProbe: Efficient Adaptation of Frozen Vision Models for Underwater Images

Md Shihabul Islam Shovo, Nishi Kanta Paul, Trung Dong +1

Reliable visual perception is essential for safe autonomous underwater exploration. Yet vision models pretrained on terrestrial images become less reliable underwater, where turbid…

cs.CV2026

One Model, Two Worlds: Bidirectional Sonar-Optical Translation

Shengji Jin, Trung Tien Dong, Ahmed Lamidi +3

Translating between imaging sonar and optical cameras is valuable for underwater perception, but supporting both directions with separate models duplicates storage and computation.…

cs.CV2026

Calibration and Comparative Analysis of Forward-Looking Sonar and 3D Sonar for Enhanced Underwater Object Recognition

Aditya Penumarti, Khanh Dong, Zi-Hao Zhang +6

Sonars generate a significant amount of noise. With the advent of new technology capable of producing full 3D point clouds, the noise is amplified in sparse point clouds, making it…

cs.CV2026

uScenes: A Multimodal RGB and 3D Sonar Dataset for Underwater Robot Perception

Trung Tien Dong, Zhenqi Wu, Aditya Penumarti +4

Robust perception is essential for the deployment of autonomous underwater robots. However, optical cameras become unreliable under poor illumination and backscatter. Forward looki…

cs.CV2026

Post Fusion Bird's Eye View Feature Stabilization for Robust Multimodal 3D Detection

Trung Tien Dong, Dev Thakkar, Arman Sargolzaei +1

Camera-LiDAR fusion is widely used in autonomous driving to enable accurate 3D object detection. However, bird's-eye view (BEV) fusion detectors can degrade significantly under dom…