|
’21 |
Towards interactive image segmentation by dynamic and iterative spanning forest |
DGMM |
I. Barcelos, F. Bel'em, P. Miranda, A. Falc~ao, Z. do Patroc', S. Guimar~aes |
|
’21 |
Fuzzy-marker-based segmentation using hierarchies |
DGMM |
G. da Fonseca, B. Perret, R. Negrel, J. Cousty, S. Guimar~aes |
|
’21 |
Graph-based supervoxel computation from iterative spanning forest |
DGMM |
C. de Almeida, F. Bel'em, S. Carneiro, Z. do Patroc', L. Najman, A. Falc~ao, S. Guimar~aes |
|
’21 |
Descriptive image gradient from edge-weighted image graph and random forests |
SIBGRAPI |
R. de Almeida, Z. do Patroc'Jr., A. de Albuquerque Ara'ujo, E. Kijak, S. Malinowski, S. Guimar~aes |
|
’21 |
Towards a simple and efficient object-based superpixel delineation framework |
SIBGRAPI |
F. de Castro Bel'em, B. Perret, J. Cousty, S. Guimar~aes, A. Falc~ao |
|
’21 |
New hierarchy-based segmentation layer: towards automatic marker proposal |
SIBGRAPI |
G. da Fonseca, R. Negrel, B. Perret, J. Cousty, S. Guimar~aes |
|
’’ |
Dense crowd counting with capsule networks |
IWSSIP |
V. Reis, S. Guimarães, Z. do Patrocínio |
|
’19 |
Brief-based mid-level representations for time series classification |
CIARP |
R. de Souza, R. de Almeida, R. Miranda, Z. do Patrocínio Jr., S. Malinowski, S. Guimarães |
|
’19 |
A study of observation scales based on felzenswalb-huttenlocher dissimilarity measure for hierarchical segmentation |
DGCI |
E. Cahuina, J. Cousty, S. Guimarães, Y. Kenmochi, G. Chávez, A. de Albuquerque Araújo |
|
’19 |
Label propagation guided by hierarchy of partitions for superpixel computation |
ICIAP |
C. de Almeida, J. Cousty, B. Perret, Z. do Patrocínio Jr., S. Guimarães |
|
’19 |
Combining convolutional side-outputs for road image segmentation |
IJCNN |
F. Reis, R. Almeida, E. Kijak, S. Malinowski, S. Guimarães, Z. do Patrocínio |
|
’19 |
Multi-stream deep convolutional network using high-level features applied to fall detection in video sequences |
IWSSIP |
S. Carneiro, G. da Silva, G. Leite, R. Moreno, S. Guimarães, H. Pedrini |
|
’19 |
Deep convolutional multi-stream network detection system applied to fall identi?cation in video sequences |
MLDM |
S. Carneiro, G. da Silva, G. Leite, R. Moreno, S. Guimarães, H. Pedrini |
|
’19 |
Fight detection in video sequences based on multi-stream convolutional neural networks |
SIBGRAPI |
S. Carneiro, G. da Silva, S. Guimarães, H. Pedrini |
|
’19 |
Exploring hierarchy simplification for non-significant region removal |
SIBGRAPI |
I. Barcelos, G. da Fonseca, L. Najman, Y. Kenmochi, B. Perret, J. Cousty, Z. do Patrocínio, S. Guimarães |
|
’19 |
The importance of object-based seed sampling for superpixel segmentation |
SIBGRAPI |
F. Belém, L. de Melo Joao, S. Guimarães, A. Falcão |
|
’18 |
Evaluation of bag-of-word performance for time series classification using discriminative sift-based mid-level representations |
CIARP |
R. Almeida, H. Herlanin, Z. do Patrocínio Jr., S. Malinowski, S. Guimarães |
|
’18 |
Hierarchical graph-based segmentation in detection of object-related regions |
CIARP |
R. Ribeiro, S. Guimarães, Z. do Patrocínio Jr. |
|
’18 |
Evaluation of scale-aware realignments of hierarchical image segmentation |
CIARP |
M. Adão, S. Guimarães, Z. Jr. |
|
’18 |
Superpixel segmentation by object-based iterative spanning forest |
CIARP |
F. Belém, S. Guimarães, A. Falcão |
|
’18 |
Image inpainting based on local patch search supported by image segmentation |
CIARP |
S. Carneiro, H. Pedrini, S. Guimarães |
|
’18 |
Hierarchy-based salient regions: A region detector based on hierarchies of partitions |
CIARP |
K. Otiniano-Rodríguez, A. de Albuquerque Araújo, G. Chávez, J. Cousty, S. Guimarães, B. Perret |
|
’18 |
Evaluation of morphological hierarchies for supervised video segmentation |
SAC |
F. Nhimi, Z. Jr., B. Perret, J. Cousty, S. Guimarães |
|
’17 |
Tag propagation approaches within speaking face graphs for multimodal person discovery |
CBMI |
G. da Fonseca, I. Freire, Z. Jr., S. Guimarães, G. Sargent, R. Sicre, G. Gravier |
|
’17 |
Towards large scale multimedia indexing: A case study on person discovery in broadcast news |
CBMI |
N. Le, H. Bredin, G. Sargent, M. India, P. Lopez-Otero, C. Barras, C. Guinaudeau, G. Gravier, G. da Fonseca, I. Freire, Z. Jr., S. Guimarães, G. Martí, J. Morros, J. Hernando, L. Fernández, C. García-Mateo, S. Meignier, J. Odobez |
|
’17 |
Graph-based hierarchical video cosegmentation |
ICIAP |
F. Rodrigues, P. Leal, Y. Kenmochi, J. Cousty, L. Najman, S. Guimarães, Z. do Patrocínio Jr. |
|
’17 |
Human action classification using an extended bow formalism |
ICIAP |
R. Almeida, B. Bustos, Z. do Patrocínio Jr., S. Guimarães |
|
’17 |
Exploring quantization error to improve human action classification |
IJCNN |
R. Almeida, Z. do Patrocínio Jr., S. Guimarães |
|
’17 |
A new pooling strategy based on local feature distribution: A case study for human action classification |
SIBGRAPI |
R. Almeida, Z. do Patrocínio Jr., S. Guimarães |
|
’17 |
Using graph homomorphisms for vertex classification analysis in social networks |
WEBMEDIA |
G. Marzano, P. da Silveira, G. da Fonseca, P. Jr., S. Guimarães |
|
’16 |
Near-duplicate video detection based on an approximate similarity self-join strategy |
CBMI |
H. da Silva, Z. do Patrocínio, G. Gravier, L. Amsaleg, A. de Albuquerque Araújo, S. Guimarães |
|
’16 |
Pucminas and IRISA at multimodal person discovery |
|
G. Sargent, G. de Fonseca, I. Freire, R. Sicre, Z. do Patrocínio Jr., S. Guimarães, G. Gravier |
|
’16 |
Video similarity search by using compact representations |
SAC |
H. da Silva, R. de Almeida, G. da Fonseca, C. Caetano, D. Vieira, Z. do Patrocínio Jr., A. de Albuquerque Araújo, S. Guimarães |
|
’16 |
Gameplay genre video classification by using mid-level video representation |
SIBGRAPI |
R. de Souza, R. de Almeida, A. Moldovan, Z. do Patrocínio Jr., S. Guimarães |
|
’16 |
Decreasing the number of features for improving human action classification |
SIBGRAPI |
K. de Souza, A. de Albuquerque Araújo, Z. do Patrocínio Jr., J. Cousty, L. Najman, Y. Kenmochi, S. Guimarães |
|
’16 |
Stochastic hierarchical watershed cut based on disturbed topographical surface |
SIBGRAPI |
C. Filho, A. de Albuquerque Araújo, J. Cousty, S. Guimarães, L. Najman |
|
’15 |
Hierarchical combination of semantic visual words for image classification and clustering |
CIARP |
V. von Glehn De Filippo, Z. do Patrocínio Jr., S. Guimarães |
|
’15 |
Kernel combination through genetic programming for image classification |
CIARP |
Y. Ribeiro, Z. do Patrocínio Jr., S. Guimarães |
|
’15 |
Re-ranking of the merging order for hierarchical image segmentation |
CIARP |
Z. do Patrocínio Jr., S. Guimarães |
|
’15 |
Hierarchical image segmentation relying on a likelihood ratio test |
ICIAP |
S. Guimarães, Z. do Patrocínio Jr., Y. Kenmochi, J. Cousty, L. Najman |
|
’15 |
Evaluation of morphological hierarchies for supervised segmentation |
ISMM |
B. Perret, J. Cousty, J. Ura, S. Guimarães |
|
’15 |
New characterizations of minimum spanning trees and of saliency maps based on quasi-flat zones |
ISMM |
J. Cousty, L. Najman, Y. Kenmochi, S. Guimarães |
|
’15 |
Streaming graph-based hierarchical video segmentation by a simple label propagation |
SIBGRAPI |
K. de Souza, A. de Albuquerque Araújo, S. Guimarães, Z. do Patrocínio, M. Cord |
|
’14 |
Phenological event detection by visual rhythms dissimilarity analysis |
ESCIENCE |
L. dos Santos, J. Almeida, J. dos Santos, S. Guimarães, A. de Albuquerque Araújo, B. Alberton, L. Morellato, R. da Silva Torres |
|
’14 |
Pornography detection using bossanova video descriptor |
EUSIPCO |
C. Caetano, S. de Avila, S. Guimarães, A. de Albuquerque Araújo |
|
’14 |
Graph-based hierarchical video summarization using global descriptors |
ICTAI |
L. Belo, C. Caetano, Z. do Patrocínio, S. Guimarães |
|
’14 |
Representing local binary descriptors with bossanova for visual recognition |
SAC |
C. Caetano, S. de Avila, S. Guimarães, A. de Albuquerque Araújo |
|
’14 |
Unsupervised hyperspectral band selection based on spectral rhythm analysis |
SIBGRAPI |
L. dos Santos, S. Guimarães, A. de Albuquerque Araújo, J. dos Santos |
|
’13 |
A graph-based hierarchical image segmentation method based on a statistical merging predicate |
ICIAP |
S. Guimarães, Z. do Patrocínio Jr. |
|
’13 |
Improving the quality of color image segmentation using genetic algorithm |
ICIAP |
A. Jr., Z. do Patrocínio Jr., S. Guimarães |
|
’13 |
Searching for near-duplicate video sequences from a scalable sequence aligner |
ISM |
L. de Oliveira, Z. do Patrocínio, S. Guimarães, G. Gravier |
|
’13 |
Hierarchical video segmentation using an observation scale |
SIBGRAPI |
K. de Souza, A. de Albuquerque Araújo, Z. do Patrocínio, J. Cousty, L. Najman, Y. Kenmochi, S. Guimarães |
|
’13 |
An efficient access method for multimodal video retrieval |
WEBMEDIA |
R. Sperandio, Z. do Patrocínio Jr., H. de Paula, S. Guimarães |
|
’12 |
A two-step video subsequence identification based on bipartite graph matching |
SMC |
S. Guimarães, Z. do Patrocínio Jr. |
|
’12 |
A hierarchical image segmentation algorithm based on an observation scale |
SSPR |
S. Guimarães, J. Cousty, Y. Kenmochi, L. Najman |
|
’11 |
A simple hierarchical clustering method for improving flame pixel classification |
ICTAI |
K. de Souza, S. Guimarães, Z. do Patrocínio Jr., A. de Albuquerque Araújo, J. Cousty |
|
’11 |
Video text extraction based on image regularization and temporal analysis |
ISM |
. de Jesus, S. Guimarães, Z. do Patrocínio Jr. |
|
’10 |
A static video summarization method based on hierarchical clustering |
CIARP |
S. Guimarães, W. Gomes |
|
’10 |
An unified transition detection based on bipartite graph matching approach |
CIARP |
Z. do Patrocínio Jr., S. Guimarães, H. da Silva, K. de Souza |
|
’09 |
Gradual transition detection based on bipartite graph matching approach |
MMSP |
S. Guimarães, Z. do Patrocínio Jr., K. de Souza, H. de Paula |
|
’08 |
An approach for video cut detection using bipartite graph matching as dissimilarity distance |
ICPR |
S. Guimarães, Z. do Patrocínio Jr., H. de Paula |
|
’08 |
A rotation and translation invariant algorithm for cut detection using bipartite graph matching |
ISM |
S. Guimarães, Z. do Patrocínio Jr., H. de Paula |
|
’07 |
Bipartite graph matching for video clip localization |
SIBGRAPI |
Z. do Patrocínio Jr., S. Guimarães, H. de Paula |
|
’06 |
Counting of video clip repetitions using a modified BMH algorithm: preliminary results |
ICME |
S. Guimarães, R. Coelho, A. Torres |
|
’06 |
A collaborative learning approach and its evaluation |
IFIP |
L. Ishitani, S. Guimarães, G. Bruegger |
|
’03 |
An approach to detect video transitions based on mathematical morphology |
ICIP |
S. Guimarães, M. Couprie, A. de Albuquerque Araújo, N. Leite |
|
’02 |
Video fade detection by discrete line identification |
ICPR |
S. Guimarães, A. de Albuquerque Araújo, M. Couprie, N. Leite |
|
’02 |
A directional and parametrized transition detection algorithm based on morphological residues |
SIBGRAPI |
S. Guimarães, N. Leite, M. Couprie, A. de Albuquerque Araújo |
|
’01 |
A method for cut detection based on visual rhythm |
SIBGRAPI |
S. Guimarães, M. Couprie, A. de Albuquerque Araújo, N. Leite |
|
’00 |
Image decomposition in morphological residues: an approach for image filtering and segmentation |
SIBGRAPI |
S. Guimarães, N. Leite |
|
’00 |
Old movie restoration using opening by surface |
SIBGRAPI |
S. Guimarães, A. de Albuquerque Araújo, G. Cerqueira |
