José Lezama
José Lezama
Research Scientist at Google Research
Verified email at - Homepage
Cited by
Cited by
Track to the future: Spatio-temporal video segmentation with long-range motion cues
J Lezama, K Alahari, J Sivic, I Laptev
CVPR 2011, 3369-3376, 2011
Not afraid of the dark: Nir-vis face recognition via cross-spectral hallucination and low-rank embedding
J Lezama, Q Qiu, G Sapiro
Proceedings of the IEEE conference on computer vision and pattern …, 2017
Finding vanishing points via point alignments in image primal and dual domains
J Lezama, R Grompone von Gioi, G Randall, JM Morel
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
Ole: Orthogonal low-rank embedding-a plug and play geometric loss for deep learning
J Lezama, Q Qiu, P Musé, G Sapiro
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
A Contrario 2D Point Alignment Detection
J Lezama, JM Morel, G Randall, R Grompone von Gioi
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014
Segmentation guided registration of wide field-of-view retinal optical coherence tomography volumes
J Lezama, D Mukherjee, RP McNabb, G Sapiro, AN Kuo, S Farsiu
Biomedical optics express 7 (12), 4827-4846, 2016
Overcoming the disentanglement vs reconstruction trade-off via jacobian supervision
J Lezama
International Conference on Learning Representations, 2018
Vanishing point detection in urban scenes using point alignments
J Lezama, G Randall, RG von Gioi
Image Processing On Line 7, 131-164, 2017
Foresthash: Semantic hashing with shallow random forests and tiny convolutional networks
Q Qiu, J Lezama, A Bronstein, G Sapiro
Proceedings of the European Conference on Computer Vision (ECCV), 432-448, 2018
Good continuation in dot patterns: A quantitative approach based on local symmetry and non-accidentalness
J Lezama, G Randall, JM Morel, RG von Gioi
Vision research 126, 183-191, 2016
An unsupervised point alignment detection algorithm
J Lezama, G Randall, JM Morel, RG von Gioi
Image Processing On Line 5, 296-310, 2015
An unsupervised algorithm for detecting good continuation in dot patterns
J Lezama, G Randall, JM Morel, R Grompone von Gioi
IPOL. Journal Image Processing On Line, 2017, vol. 7, pp. 81--92, 2017
A Contrario Detection of Good Continuation of Points
J Lezama, RG von Gioi, G Randall, JM Morel
IEEE International Conference on Image Processing, 2014
Proyecto Ojo de Bife: extracción automática de información de imágenes color del músculo longissimus dorsi
M Bianculli, A Duffour, J Lezama
UR. FI, 2007
Detecting Out-Of-Distribution Samples Using Low-Order Deep Features Statistics
IM Quintanilha, R de ME Filho, J Lezama, M Delbracio, LO Nunes
Psychophysics, gestalts and games
J Lezama, S Blusseau, JM Morel, G Randall, RG von Gioi
Neuromathematics of vision, 217-242, 2014
Registration of orthogonally oriented wide-field of view OCT volumes using orientation-aware optical flow and retina segmentation (Conference Presentation)
J Lezama, D Mukherjee, RP McNabb, G Sapiro, JA Izatt, S Farsiu, AN Kuo
Ophthalmic Technologies XXVI 9693, 96930I, 2016
On grouping theory in dot patterns, with applications to perception theory and 3D inverse geometry
J Lezama
École normale supérieure de Cachan-ENS Cachan; Universidad de la República …, 2015
Run-Sort-ReRun: Escaping Batch Size Limitations in Sliced Wasserstein Generative Models
J Lezama, W Chen, Q Qiu
International Conference on Machine Learning, 6275-6285, 2021
Non-uniform Blur Kernel Estimation via Adaptive Basis Decomposition
G Carbajal, P Vitoria, M Delbracio, P Musé, J Lezama
arXiv preprint arXiv:2102.01026, 2021
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