Publications and Outputs
2024
Burns, J.A., K.P. Becker, D. Casagrande, J. Daniels, P.L.D. Roberts, E.C. Orenstein, D.M. Vogt, Z.E. Teoh, A. Yin, B. Genot, D.F. Gruber, K. Katija, R.J. Wood, B.T. Phillips. 2024. An integrated digital holotype strategy for delicate deep-sea organisms. Science Advances. [paper]
2023
Crosby, A., E.C. Orenstein, S. Poulton, K.C. Bell, B. Woodward, H. Ruhl, K. Katija, and A.G. Forbes. 2023. Designing Ocean Vision AI: An Investigation of Community Needs for Imaging-based Ocean Conservation. ACM CHI Conference on Human Factors in Computing Systems 1-16. [paper]
E.C. Orenstein, G. Patterson, B.G. Woodward, and K. Katija. 2023. FathomNet 2023 Competition - Shifting seas, shifting species: out-of-sample detection in the deep ocean. 10th Fine-Grained Visual Categorization Workshop at CVPR 2023. [competition][git][preprint]
Kenitz, K.M., C.R. Anderson, M.L Carter, E. Eggleston, K. Seech, R. Chipe, J. Smith, E.C. Orenstein, P.J.S. Franks, J.S. Jaffe, and A. D. Barton. 2023. Environmental and ecological drivers of harmful algal blooms in the Southern California Bight. Limnology and Oceanography 68: 598-615. [paper]
2022
Scoulding, B. K. Maguire, and E.C. Orenstein 2022. Evaluating automated benthic fish detection under variable conditions. ICES Journal of Marine Science fsac166. [paper]
Katija, K., E.C. Orenstein, B. Schlining, L. Lundsten, K. Barnard, G. Sainz, O. Boulais, M. Cromwell, E. Butler, B. Woodward, and K.C. Bell 2022. FathomNet: A global image database for enabling artificial intelligence in the ocean. Scientific Reports 12:15914. [paper]
Orenstein, E.C., S.D Ayata, F. Maps, J.O. Irisson, et al. 2022. Characterizing functional traits of planktonic organisms from images. Limnology and Oceanography 67 (8): 1647-1669 [paper]
Orenstein, E.C., E. Saberski, C. BriseƱo-Avena. 2022. Discovery and dynamics of a cryptic marine copepod-parasite interaction. Marine Ecology Progress Series 691: 29-40. [paper]
2021
Walker, J. and E.C. Orenstein. 2021. Improving rare-class recognition of marine plankton with hard negative mining IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) pp. 3672-3682. [paper]
Ronen, R., Y. Attias, Y.Y. Schechner, J.S. Jaffe, and E.C. Orenstein. 2021. Plankton reconstruction through robust statistical optical tomography. Journal of the Optical Society of America A 38(9): 1320-1331. [paper]