Publications

Bandyopadhyay, D., Kotzagiannidis, M., Coomes, D. and Schönlieb, C.B. Semi-supervised learning using hyperspectral images for forest species mapping. in ESA Living Planet Symposium (ESA-LPS-2022).

Kotzagiannidis, M. and Schönlieb, C.B. Semi-supervised Superpixel-based Multi-Feature Graph Learning for Hyperspectral Image Data. IEEE Transactions on Geoscience and Remote Sensing (2021)

Ke, R., Aviles-Rivero, A., Pandey, S., Reddy, S. and Schönlieb, C.B. A Three-Stage Self-Training Framework for Semi-Supervised Semantic Segmentation. IEEE Transactions on Image Processing. 31 (2022): 1805-1815.

Ke, R. and Schönlieb, C.B. Unsupervised Image Restoration Using Partially Linear Denoisers. IEEE Transactions on Pattern Analysis and Machine Intelligence. (2021). DOI: 10.1109/TPAMI.2021.3070382.

Ke, R., Bugeau, A., Papadakis, N., Kirkland, M., Schuetz, P. and Schönlieb, C.B. Multi-task deep learning for image segmentation using recursive approximation tasks. IEEE Transactions on Image Processing, 30, pp. 3555-3567, (2021)

Prior Work

Williams, J., Schönlieb, C. B., Swinfield, T., Lee, J., Cai, X., Qie, L., and Coomes, D.A. 3D Segmentation of Trees Through a Flexible Multiclass Graph Cut Algorithm. IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 2, pp. 754-776, (2020)

Sellars, P., Aviles-Rivero, A., and Schönlieb, C.-B. Superpixel contracted graph-based learning for hyperspectral image classication. IEEE Transactions on Geoscience and Remote Sensing, early access: pp. 1-14, (2020)

Aviles-Rivero, A. I., Papadakis, N., Li, R., Alsaleh, S. M., Tan, R. T., and Schönlieb, C.-B. Beyond supervised classication: Extreme minimal supervision with the graph 1-Laplacian. arXiv, 1906.08635. (2019)

Aviles-Rivero, A. I., Papadakis, N., Li, R., Sellars, P., Fan, Q., Tan, R. T., and Schönlieb, C.-B. GraphX NET chest X-ray classication under extreme minimal supervision. In International Conference on Medical Image Computing and Computer-Assisted Intervention, pp 504-512. Springer. (2019)

Sellars, P., Aviles-Rivero, A., Papadakis, N., Coomes, D., Faul, A., and Schönlieb, C.-B. Semi-supervised learning with graphs: Covariance based superpixels for hyperspectral image classication. In IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium. pp. 592-595. (2019)

Swinfield, T., Lindsell, J. A., Williams, J. V., Harrison, R. D., Agustiono, Habibi, Gemita, E., Schönlieb, C. B., Coomes, D. A. Accurate Measurement of Tropical Forest Canopy Heights and Aboveground Carbon Using Structure From Motion. Remote Sensing, 11(8), pp. 928, (2019)

Leon, B., Coomes, D.A., Ehrhardt, M.J., Rasch, J., Reisenhofer, R., and Schönlieb, C.-B. Blind image fusion for hyperspectral imaging with the directional total variation. Inverse Problems 34, no. 4, pp. 044003. (2018)

Calatroni, L., Gennip, Y., Schönlieb, C.-B., Rowland, H.M., and Flenner, A. Graph clustering, variational image segmentation methods and Hough transform scale detection for object measurement in images. Journal of Mathematical Imaging and Vision 57, no. 2 , pp. 269-291. (2017)

Lee, J., Cai, X., Lellmann, J., Dalponte, M., Malhi, Y., Butt, N., Morecroft, M., Schönlieb, C.-B., and Coomes, D.A. Individual tree species classification from airborne multisensor imagery using robust PCA. IEEE Journal of selected topics in applied earth observations and Remote Sensing, no. 6 ,pp. 2554-2567. (2016)

Lee, J., Cai, X., Schönlieb, C.-B., and Coomes, D. Mapping individual trees from airborne multi-sensor imagery. In 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 5411-5414. (2015)

Lee, J., Cai, X., Schönlieb, C.-B., and Coomes, D.A. Nonparametric image registration of airborne lidar, hyperspectral and photographic imagery of wooded landscapes. IEEE Transactions on Geoscience and Remote Sensing 53, no. 11, pp. 6073-6084. (2015)