19 citations · 90 across the 19 of their papers we have counts for
20 papers
AquaBEV-Nav: Learned BEV Occupancy for Underwater Navigation and Exploration
Trung Tien Dong, Zhenqi Wu, Sahasra Kondapalli +3
Safe underwater exploration requires a robot to understand where surrounding structures are located and which regions are available for motion. Existing vision-based underwater exp…
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.…
AquaBEV: Monocular Underwater BEV Occupancy with 3D Sonar Supervision
Trung Tien Dong, Shengji Jin, Chen Chen +2
Autonomous underwater robots are widely used for exploration, monitoring, and inspection, where safe navigation depends on understanding the surrounding free and occupied space. Bi…
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…
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…
WaterGen: Decoupling Scene and Medium in Underwater Image Generation
Jiayi Wu, Tianfu Wang, Tianyi Xiong +6
Underwater computer vision tasks, such as detection, restoration, and segmentation, are limited by the scarcity of large-scale and diverse training data. We introduce WaterGen, a m…
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…
DREAM: Domain-aware Reasoning for Efficient Autonomous Underwater Monitoring
Zhenqi Wu, Abhinav Modi, Angelos Mavrogiannis +6
The ocean is warming and acidifying, increasing the risk of mass mortality events for temperature-sensitive shellfish such as oysters. This motivates the development of long-term m…
HiCL: Hippocampal-Inspired Continual Learning
Kushal Kapoor, Wyatt Mackey, Yiannis Aloimonos +1
We propose HiCL, a novel hippocampal-inspired dual-memory continual learning architecture designed to mitigate catastrophic forgetting by using elements inspired by the hippocampal…
Performance Assessment of Feature Detection Methods for 2-D FS Sonar Imagery
Hitesh Kyatham, Shahriar Negahdaripour, Michael Xu +3
Underwater robot perception is crucial in scientific subsea exploration and commercial operations. The key challenges include non-uniform lighting and poor visibility in turbid env…
ViewActive: Active viewpoint optimization from a single image
Jiayi Wu, Xiaomin Lin, Botao He +2
When observing objects, humans benefit from their spatial visualization and mental rotation ability to envision potential optimal viewpoints based on the current observation. This…
ODYSSEE: Oyster Detection Yielded by Sensor Systems on Edge Electronics
Xiaomin Lin, Vivek Mange, Arjun Suresh +11
Oysters are a vital keystone species in coastal ecosystems, providing significant economic, environmental, and cultural benefits. As the importance of oysters grows, so does the re…
MARVIS: Motion & Geometry Aware Real and Virtual Image Segmentation
Jiayi Wu, Xiaomin Lin, Shahriar Negahdaripour +2
Tasks such as autonomous navigation, 3D reconstruction, and object recognition near the water surfaces are crucial in marine robotics applications. However, challenges arise due to…
UIVNAV: Underwater Information-driven Vision-based Navigation via Imitation Learning
Xiaomin Lin, Nare Karapetyan, Kaustubh Joshi +5
Autonomous navigation in the underwater environment is challenging due to limited visibility, dynamic changes, and the lack of a cost-efficient accurate localization system. We int…
Detecting Olives with Synthetic or Real Data? Olive the Above
Yianni Karabatis, Xiaomin Lin, Nitin J. Sanket +2
Modern robotics has enabled the advancement in yield estimation for precision agriculture. However, when applied to the olive industry, the high variation of olive colors and their…
ChatSim: Underwater Simulation with Natural Language Prompting
Aadi Palnitkar, Rashmi Kapu, Xiaomin Lin +3
Robots are becoming an essential part of many operations including marine exploration or environmental monitoring. However, the underwater environment presents many challenges, inc…
Whale Detection Enhancement through Synthetic Satellite Images
Akshaj Gaur, Cheng Liu, Xiaomin Lin +2
With a number of marine populations in rapid decline, collecting and analyzing data about marine populations has become increasingly important to develop effective conservation pol…
SeaDroneSim: Simulation of Aerial Images for Detection of Objects Above Water
Xiaomin Lin, Cheng Liu, Allen Pattillo +2
Unmanned Aerial Vehicles (UAVs) are known for their fast and versatile applicability. With UAVs' growth in availability and applications, they are now of vital importance in servin…
OysterSim: Underwater Simulation for Enhancing Oyster Reef Monitoring
Xiaomin Lin, Nitesh Jha, Mayank Joshi +3
Oysters are the living vacuum cleaners of the oceans. There is an exponential decline in the oyster population due to over-harvesting. With the current development of the automatio…
OysterNet: Enhanced Oyster Detection Using Simulation
Xiaomin Lin, Nitin J. Sanket, Nare Karapetyan +1
Oysters play a pivotal role in the bay living ecosystem and are considered the living filters for the ocean. In recent years, oyster reefs have undergone major devastation caused b…