Chen-Ping Yu
Chen-Ping Yu
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Citado por
Citado por
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
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
Squared earth mover's distance-based loss for training deep neural networks
L Hou, CP Yu, D Samaras
arXiv preprint arXiv:1611.05916, 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
Searching for Category-Consistent Features: A Computational Approach to Understanding Visual Category Representation
CP Yu, J Maxfield, G Zelinsky
Psychological Science, 2016
Modeling visual clutter perception using proto-object segmentation
CP Yu, D Samaras, GJ Zelinsky
Journal of Vision 14 (7), 4-4, 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
Single Image Shadow Detection Using Multiple Cues in a Supermodular MRF.
TFY Vicente, CP Yu, D Samaras
British Machine Vision Conference, 2013
Efficient Video Segmentation using Parametric Graph Partitioning
CP Yu, H Le, G Zelinsky, D Samaras
International Conference on Computer Vision, 3155-3163, 2015
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
Statistical Asymmetry-based Brain Tumor Segmentation from 3D MR Images.
CP Yu, GCS Ruppert, DTD Nguyen, AX Falcao, Y Liu
Biosignals, 527-533, 2012
Squared earth movers distance loss for training deep neural networks on ordered-classes
L Hou, CP Yu, D Samaras
NIPS workshop 5, 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
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
A mid-level organization of the ventral stream
B Long, CP Yu, T Konkle
BioRxiv, 213934, 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
Clutter perception is invariant to image size
G Zelinsky, CP Yu
Vision Research, 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
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
Generating the features for category representation using a deep convolutional neural network
CP Yu, J Maxfield, GJ Zelinsky
J. Vis 16 (251), 10.1167, 2016
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