| Large-Scale Training of Shadow Detectors with Noisily-Annotated Shadow Examples T Yago Vicente, L Hou, CP Yu, MH Nguyen, D Samaras European Conference on Computer Vision, 2016 | 283* | 2016 |
| Mid-level visual features underlie the high-level categorical organization of the ventral stream B Long, CP Yu, T Konkle Proceedings of the National Academy of Sciences 115 (38), E9015-E9024, 2018 | 259 | 2018 |
| Squared earth mover's distance-based loss for training deep neural networks L Hou, CP Yu, D Samaras arXiv preprint arXiv:1611.05916, 2016 | 184 | 2016 |
| A new symmetry-based method for mid-sagittal plane extraction in neuroimages GCS Ruppert, L Teverovskiy, CP Yu, AX Falcao, Y Liu The IEEE International Symposium on Biomedical Imaging, 285-288, 2011 | 82 | 2011 |
| Searching for Category-Consistent Features: A Computational Approach to Understanding Visual Category Representation CP Yu, J Maxfield, G Zelinsky Psychological Science, 2016 | 49 | 2016 |
| Modeling visual clutter perception using proto-object segmentation CP Yu, D Samaras, GJ Zelinsky Journal of Vision 14 (7), 4-4, 2014 | 43 | 2014 |
| Receptive field dynamics underlying MST neuronal optic flow selectivity CP Yu, WK Page, R Gaborski, CJ Duffy Journal of Neurophysiology 103 (5), 2794-2807, 2010 | 43 | 2010 |
| Efficient Video Segmentation using Parametric Graph Partitioning CP Yu, H Le, G Zelinsky, D Samaras International Conference on Computer Vision, 3155-3163, 2015 | 35 | 2015 |
| Single Image Shadow Detection Using Multiple Cues in a Supermodular MRF. TFY Vicente, CP Yu, D Samaras British Machine Vision Conference, 2013 | 35 | 2013 |
| 3D blob based brain tumor detection and segmentation in MR images CP Yu, G Ruppert, R Collins, D Nguyen, A Falcao, Y Liu The IEEE International Symposium on Biomedical Imaging, 1192-1197, 2014 | 29 | 2014 |
| Statistical Asymmetry-based Brain Tumor Segmentation from 3D MR Images. CP Yu, GCS Ruppert, DTD Nguyen, AX Falcao, Y Liu Biosignals, 527-533, 2012 | 25 | 2012 |
| Squared earth movers distance loss for training deep neural networks on ordered-classes L Hou, CP Yu, D Samaras NIPS workshop 5, 2017 | 24 | 2017 |
| Co-localization with category-consistent features and geodesic distance propagation H Le, CP Yu, G Zelinsky, D Samaras International Conference on Computer Vision Workshops, 1103-1112, 2017 | 24 | 2017 |
| Geodesic distance histogram feature for video segmentation H Le, V Nguyen, CP Yu, D Samaras Computer Vision–ACCV 2016: 13th Asian Conference on Computer Vision, Taipei …, 2017 | 21 | 2017 |
| A mid-level organization of the ventral stream B Long, CP Yu, T Konkle BioRxiv, 213934, 2017 | 10 | 2017 |
| Modeling clutter perception using parametric proto-object partitioning CP Yu, WY Hua, D Samaras, G Zelinsky Conference on Neural Information Processing Systems, 118-126, 2013 | 10 | 2013 |
| Clutter perception is invariant to image size G Zelinsky, CP Yu Vision Research, 2015 | 8 | 2015 |
| Modelling attention control using a convolutional neural network designed after the ventral visual pathway CP Yu, H Liu, D Samaras, GJ Zelinsky Visual Cognition 27 (5-8), 416-434, 2019 | 7 | 2019 |
| Supervised machine learning for brain tumor detection in structural MRI D Koshy, C Yu, D Nguyen, S Kashyap, RT Collins, Y Liu Radiological Society of North America (RSNA), 2011 | 5 | 2011 |
| Generating the features for category representation using a deep convolutional neural network CP Yu, J Maxfield, GJ Zelinsky Vision Sciences Society 16, 1161876, 2016 | 3 | 2016 |
Dimitris SamarasStony Brook UniversityПотвърден имейл адрес: cs.stonybrook.edu