C=Conference, S=In Submission, T=Thesis
[C.6] Joshi, K., Liu, T., Williams, A., Gray, M., Lin, X., & Chopra, N. (2024, Oct). 3D Water Quality Mapping using Invariant Extended Kalman Filtering for Underwater Robot Localization. In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE. Abu Dhabi, UAE.
[C.5] Wu, J., Lin, X., Negahdaripour, S., Fermüller, C., & Aloimonos, Y. (2024, Oct). MARVIS: Motion & Geometry Aware Real and Virtual Image Segmentation. In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE. Abu Dhabi, UAE.
[C.4] Lin, X., Karapetyan, N., Joshi, K., Liu, T., Chopra, N., Yu, M., & Aloimonos, Y. (2023, Oct). Uivnav: Underwater information-driven vision-based navigation via imitation learning. In 2024 IEEE International Conference on Robotics and Automation (ICRA), pp. 5250-5256. IEEE. Yokohama, Japan.
[C.3] Karabatis, Y., Lin, X., Sanket, N. J., Lagoudakis, M. G., & Aloimonos, Y. (2023, Oct). Detecting Olives with Synthetic or Real Data? Olive the Above. In 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 4242-4249. IEEE. Detroit, MI, USA.
[C.2] Lin, X., Sanket, N. J., Karapetyan, N., & Aloimonos, Y. (2023, May). Oysternet: Enhanced oyster detection using simulation. In 2023 IEEE International Conference on Robotics and Automation (ICRA), pp. 5170-5176. IEEE. London, UK.
[C.1] Lin, X., Liu, C., Pattillo, A., Yu, M., & Aloimonos, Y. (2023). Seadronesim: Simulation of aerial images for detection of objects above water. In IEEE/CVF Winter Conference on Applications of Computer Vision, pp. 216-223. IEEE. Waikoloa, HI, USA.
O=Conference, A=Abstract
[O.6] Negahdaripour, S., Kyatham, H., Xu, M., Lin, X., Aloimonos, Y., & Yu, M. (2024, Sept). GoPro Modeling and Application in Opti-Acoustic Stereo Imaging. In OCEANS 2024-MTS/IEEE Halifax, IEEE. Halifax, Canada.
[O.5] Kyatham, H., Negahdaripour, S., Xu, M., Lin, X., Yu, M., & Aloimonos, Y. (2024, Sept). Performance Assessment of Feature Detection Methods for 2-D FS Sonar Imagery. In OCEANS 2024-MTS/IEEE Halifax, IEEE. Halifax, Canada.
[O.4] Gaur, A., Liu, C., Lin, X., Karapetyan, N., & Aloimonos, Y. (2023, Sept). Whale detection enhancement through synthetic satellite images. In OCEANS 2023-MTS/IEEE US Gulf Coast, pp. 1-7. IEEE. Biloxi, MS, USA.
[O.3] Palnitkar, A., Kapu, R., Lin, X., Liu, C., Karapetyan, N., & Aloimonos, Y. (2023, Sept). Chatsim: Underwater simulation with natural language prompting. In OCEANS 2023-MTS/IEEE US Gulf Coast, pp. 1-7. IEEE. Biloxi, MS, USA.
[O.2] Lin, X., Jha, N., Joshi, M., Karapetyan, N., Aloimonos, Y., & Yu, M. (2022, Oct). Oystersim: Underwater simulation for enhancing oyster reef monitoring. In OCEANS 2022, Hampton Roads, pp. 1-6. IEEE. Hampton Roads, USA.
[O.1] Kanu, J., Dessalene, E., Lin, X., Fermuller, C., & Aloimonos, Y. (2020). Following instructions by imagining and reaching visual goals. arXiv preprint, arXiv:2001.09373.
P=Preparation, A=Abstract
[P.6] Feng, Y., Pallerla, C., Sohrabipour, P. S., Bist, R. B., Mahmoudi, S., Davar, A., Lin, X., & Wang, D. (2024). Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation. In preparation.
[P.5] Modi, A., Rajyaguru, N., Aloimonos, Y., & Lin, X. (2024). DEEP-VLM: Dynamic Exploration and Efficient Policy with Vision-Language Model. In preparation.
[P.4] Wu, J., Shine, J., Lin, X., & Aloimonos, Y. (2024). Underwater NeRF with Uncertainty Reduction for Enhanced Exploration. In preparation.
[P.3] Gaur, A., Kondamudi, P., Duporge, I., Isupova, O., Aloimonos, Y., & Lin, X. (2024). Automated Blue Whale Detection Using Synthetic VHR Satellite Imagery. Planned submission to Journal of Remote Sensing in Marine Biology.
[P.2] Palnitkar, A., Surush, A., Duporge, I., Aloimonos, Y., & Lin, X. (2024). Dual Species Detection: Distinguishing Rhinos and Elephants in VHR Satellite Imagery. Planned submission to a journal on remote sensing and conservation.
[P.1] Surush, A., Palnitkar, A., Duporge, I., Aloimonos, Y., & Lin, X. (2024). Simulated Sightings: Synthetic Data for Enhancing Rhino and Elephant Detection in Satellite Imagery. Planned submission to a journal on synthetic data and conservation technology.