Publications

By type By year

2024

1. M. Aasan, O. Kolbjørnsen, A. Schistad Solberg, and A. Ramírez Rivera, “A Spitting Image: Modular Superpixel Tokenization in Vision Transformers,” in CVF/ECCV More Exploration, Less Exploitation Workshop (MELEX ECCVW), 2024.

   @inproceedings{Aasan2024,
     author = {Aasan, Marius and Kolbj\o{}rnsen, Odd and Schistad Solberg, Anne and Ram\'irez Rivera, Ad\'in},
     title = {A Spitting Image: Modular Superpixel Tokenization in Vision Transformers},
     booktitle = {{CVF/ECCV} More Exploration, Less Exploitation Workshop ({MELEX} {ECCVW})},
     year = {2024},
     code = {https://github.com/dsb-ifi/SPiT},
     link = {https://dsb-ifi.github.io/SPiT/}
   }
   

2. T. Silva, H. Pedrini, and A. Ramírez Rivera, “Learning from Memory: A Non-Parametric Memory Augmented Self-Supervised Learning of Visual Features,” in International Conference on Machine Learning (ICML), 2024.

   @inproceedings{Silva2024,
     author = {Silva, Thalles and Pedrini, Helio and Ram\'irez Rivera, Ad\'in},
     booktitle = {International Conference on Machine Learning ({ICML})},
     title = {Learning from Memory: A Non-Parametric Memory Augmented Self-Supervised Learning of Visual Features},
     year = {2024},
     link = {https://openreview.net/forum?id=Ed4KgHoKNe}
   }
   

2023

1. P. Kenfack, A. Ramírez Rivera, A. Khan, and M. Mazzara, “Learning Fair Representations through Uniformly Distributed Sensitive Attributes,” in IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 2023.

   @inproceedings{Kenfack2023,
     author = {Kenfack, P. and Ram\'irez Rivera, A. and Khan, A. and Mazzara, M.},
     title = {Learning Fair Representations through Uniformly Distributed Sensitive Attributes},
     booktitle = {{IEEE} Conference on Secure and Trustworthy Machine Learning ({SaTML})},
     year = {2023},
     link = {https://openreview.net/forum?id=iW7r_6LuHwA}
   }
   

2. K. Sabbagh, P. Kenfack, A. Ramírez Rivera, and A. Khan, “RepFair-GAN: Mitigating Representation Bias in GANs Using Gradient Clipping,” in Tiny Papers Workshop (ICLRW), 2023.

   @inproceedings{Sabbagh2023,
     author = {Sabbagh, K. and Kenfack, P. and Ram\'irez Rivera, A. and Khan, A},
     title = {{RepFair-GAN}: Mitigating Representation Bias in GANs Using Gradient Clipping},
     booktitle = {Tiny Papers Workshop ({ICLRW})},
     year = {2023},
     link = {https://openreview.net/forum?id=frB4MiYGoD_}
   }
   

3. T. Silva, H. Pedrini, and A. Ramírez Rivera, “Self-supervised Learning of Contextualized Local Visual Embeddings,” in Visual Inductive Priors for Data-Efficient Deep Learning Workshop (ICCVW), 2023.

   @inproceedings{Silva2023,
     author = {Silva, T. and Pedrini, H. and Ram\'irez Rivera, A.},
     title = {Self-supervised Learning of Contextualized Local Visual Embeddings},
     booktitle = {Visual Inductive Priors for Data-Efficient Deep Learning Workshop ({ICCVW})},
     code = {https://github.com/sthalles/CLoVE},
     year = {2023},
     link = {https://openreview.net/forum?id=wGCimyErJ6}
   }
   

4. T. Silva and A. Ramírez Rivera, “Representation Learning via Consistent Assignment of Views over Random Partitions,” in Advances in Neural Information Processing Systems (NeurIPS), 2023.

   @inproceedings{Silva2023a,
     author = {Silva, T. and Ram\'irez Rivera, A.},
     title = {Representation Learning via Consistent Assignment of Views over Random Partitions},
     booktitle = {Advances in Neural Information Processing Systems ({NeurIPS})},
     code = {https://github.com/sthalles/carp},
     year = {2023},
     link = {https://openreview.net/forum?id=sRQNwKcE2X}
   }
   

5. V. Sinii, A. Ramírez Rivera, and A. Khan, “Understanding the Effectiveness of Cross-Domain Contrastive Unsupervised Domain Adaptation,” in Tiny Papers Workshop (ICLRW), 2023.

   @inproceedings{Sinii2023,
     author = {Sinii, V.. and Ram\'irez Rivera, A. and Khan, A.},
     title = {Understanding the Effectiveness of Cross-Domain Contrastive Unsupervised Domain Adaptation},
     booktitle = {Tiny Papers Workshop ({ICLRW})},
     year = {2023},
     link = {https://openreview.net/forum?id=0GpMf9UeI3G}
   }
   

6. B. Souza, M. Aasan, H. Pedrini, and A. Ramírez Rivera, “SelfGraphVQA: A Self-Supervised Graph Neural Network for Scene-based Question Answering,” in Vision-and-Language Algorithmic Reasoning (VLAR) Workshop (ICCVW), 2023.

   @inproceedings{Souza2023,
     author = {Souza, B. and Aasan, M. and Pedrini, H. and Ram\'irez Rivera, A.},
     title = {{SelfGraphVQA}: A Self-Supervised Graph Neural Network for Scene-based Question Answering},
     booktitle = {Vision-and-Language Algorithmic Reasoning ({VLAR}) Workshop ({ICCVW})},
     year = {2023},
     note = {Oral, best paper award},
     link = {https://openaccess.thecvf.com/ICCV2023_workshops/VLAR}
   }
   

2022

1. J. Hernández Albarracín and A. Ramírez Rivera, “Video Reenactment as Inductive Bias for Content-Motion Disentanglement,” IEEE Transactions on Image Processing, 2022, doi: 10.1109/TIP.2022.3153140.

   @article{HernandezAlbarracin2022,
     author = {Hern\'andez Albarrac\'in, J. and Ram\'irez Rivera, A.},
     title = {Video Reenactment as Inductive Bias for Content-Motion Disentanglement},
     journal = {{IEEE} Transactions on Image Processing},
     year = {2022},
     code = {https://gitlab.com/mipl/mtc-vae},
     doi = {10.1109/TIP.2022.3153140},
     link = {https://arxiv.org/abs/2102.00324}
   }
   

2. S. Robles, J. Gómez, A. Ramírez Rivera, N. Padilla, and D. Dujovne, “A Deep Learning Approach to Halo Merger Tree Construction,” Monthly Notices of the Royal Astronomical Society, 2022, doi: 10.1093/mnras/stac1569.

   @article{Robles2022,
     author = {Robles, S. and G\'omez, J. and Ram\'irez Rivera, A. and Padilla, N. and Dujovne, D.},
     title = {A Deep Learning Approach to Halo Merger Tree Construction},
     journal = {Monthly Notices of the Royal Astronomical Society},
     doi = {10.1093/mnras/stac1569},
     year = {2022},
     link = {https://arxiv.org/abs/2205.15988}
   }
   

3. D. Saire and A. Ramírez Rivera, “Global and Local Features through Gaussian Mixture Models on Image Semantic Segmentation,” IEEE Access, 2022, doi: 10.1109/ACCESS.2022.3192605.

   @article{Saire2022,
     author = {Saire, D. and Ram\'irez Rivera, A.},
     title = {Global and Local Features through Gaussian Mixture Models on Image Semantic Segmentation},
     journal = {{IEEE} Access},
     year = {2022},
     code = {https://gitlab.com/mipl/phgmm},
     doi = {10.1109/ACCESS.2022.3192605},
     link = {https://arxiv.org/abs/2207.09162}
   }
   

4. T. Silva and A. Ramírez Rivera, “Representation Learning via Consistent Assignment of Views to Clusters,” in ACM/SIGAPP Symposium on Applied Computing (SAC), 2022, doi: 10.1145/3477314.3507267.

   @inproceedings{Silva2022,
     author = {Silva, T. and Ram\'irez Rivera, A.},
     title = {Representation Learning via Consistent Assignment of Views to Clusters},
     booktitle = {{ACM/SIGAPP} Symposium on Applied Computing ({SAC})},
     doi = {10.1145/3477314.3507267},
     year = {2022},
     link = {https://arxiv.org/abs/2112.15421}
   }
   

2021

1. A. Khusainova, A. Khan, A. Ramírez Rivera, and V. Romanov, “Hierarchical Transformer for Multilingual Machine Translation,” in VarDial—Workshop on NLP for Similar Languages, Varieties and Dialects, 2021.

   @inproceedings{Khusainova2021,
     author = {Khusainova, A. and Khan, A. and Ram\'irez Rivera, A. and Romanov, V.},
     title = {Hierarchical Transformer for Multilingual Machine Translation},
     booktitle = {VarDial---Workshop on {NLP} for Similar Languages, Varieties and Dialects},
     year = {2021},
     link = {https://arxiv.org/abs/2103.03589}
   }
   

2. M. Rodríguez Santander, J. Hernández Albarracín, and A. Ramírez Rivera, “On the Pitfalls of Learning with Limited Data: A Facial Expression Recognition Case Study,” Experts Systems with Applications, 2021, doi: 10.1016/j.eswa.2021.114991.

   @article{RodriguezSantander2021,
     author = {Rodr\'iguez Santander, M. and Hern\'andez Albarrac\'in, J. and Ram\'irez Rivera, A.},
     title = {On the Pitfalls of Learning with Limited Data: A Facial Expression Recognition Case Study},
     journal = {Experts Systems with Applications},
     year = {2021},
     code = {https://gitlab.com/mipl/learning-with-limited-data},
     doi = {10.1016/j.eswa.2021.114991},
     link = {https://arxiv.org/abs/2104.02653}
   }
   

3. D. Saire and A. Ramírez Rivera, “Empirical Study of Multi-Task Hourglass Model for Semantic Segmentation Task,” IEEE Access, vol. 9, pp. 80654–80670, 2021, doi: 10.1109/ACCESS.2021.3085218.

   @article{Saire2021,
     author = {Saire, D. and Ram\'irez Rivera, A.},
     title = {Empirical Study of Multi-Task Hourglass Model for Semantic Segmentation Task},
     journal = {{IEEE} Access},
     year = {2021},
     pages = {80654--80670},
     volume = {9},
     code = {https://gitlab.com/mipl/mtl-ss},
     doi = {10.1109/ACCESS.2021.3085218},
     link = {https://arxiv.org/abs/2105.13531}
   }
   

4. T. Silva and A. Ramírez Rivera, “Consistent Assignment for Representation Learning,” in Energy-based Models Workshop (ICLRW), 2021.

   @inproceedings{Silva2021,
     author = {Silva, T. and Ram\'irez Rivera, A.},
     title = {Consistent Assignment for Representation Learning},
     booktitle = {Energy-based Models Workshop ({ICLRW})},
     year = {2021},
     link = {https://openreview.net/forum?id=QNO8mhqNmJh}
   }
   

2020

1. G. Nikolentzos, M. Thomas, A. Ramírez Rivera, and M. Vazirgiannis, “Image Classification using Graph-based Representations and Graph Neural Networks,” in International Conference Complex Networks and their Applications, 2020.

   @inproceedings{Nikolentzos2020,
     author = {Nikolentzos, Giannis and Thomas, Michalis and Ram\'irez Rivera, Ad\'in and Vazirgiannis, Michalis},
     title = {Image Classification using Graph-based Representations and Graph Neural Networks},
     booktitle = {International Conference Complex Networks and their Applications},
     year = {2020},
     month = dec
   }
   

2. M. V. S. Silva, L. Bittencourt, and A. Ramírez Rivera, “Towards Federated Learning in Edge Computing for Real-Time Traffic Estimation in Smart Cities,” in Workshop of Urban Computation (CoUrb), 2020, doi: 10.5753/courb.2020.12361.

   @inproceedings{Silva2020,
     author = {Silva, M. V. S. and Bittencourt, L. and Ram\'irez Rivera, A.},
     title = {Towards Federated Learning in Edge Computing for Real-Time Traffic Estimation in Smart Cities},
     booktitle = {Workshop of Urban Computation ({CoUrb})},
     year = {2020},
     month = dec,
     doi = {10.5753/courb.2020.12361}
   }
   

3. M. T. B. Iqbal, B. Ryu, A. Ramírez Rivera, F. Makhmudkhujaev, O. Chae, and S. H. Bae, “Facial Expression Recognition with Active Local Shape Pattern and Learned-Size Block Representations,” IEEE Transactions on Affective Computing, 2020, doi: 10.1109/TAFFC.2020.2995432.

   @article{Iqbal2020,
     author = {Iqbal, Md Tauhid Bin and Ryu, Byungyong and Ram\'irez Rivera, A. and Makhmudkhujaev, Farkhod and Chae, Oksam and Bae, Sung Ho},
     title = {Facial Expression Recognition with Active Local Shape Pattern and Learned-Size Block Representations},
     journal = {{IEEE} Transactions on Affective Computing},
     year = {2020},
     doi = {10.1109/TAFFC.2020.2995432}
   }
   

4. R. Quispe, D. Ttito, A. Ramírez Rivera, and H. Pedrini, “Multi-Stream Networks and Ground-Truth Generation for Crowd Counting,” International Journal of Electrical and Computer Engineering Systems, vol. 11, no. 1, pp. 25–33, 2020.

   @article{Quispe2020,
     author = {Quispe, R. and Ttito, D. and Ram\'irez Rivera, A. and Pedrini, H.},
     title = {Multi-Stream Networks and Ground-Truth Generation for Crowd Counting},
     journal = {International Journal of Electrical and Computer Engineering Systems},
     year = {2020},
     volume = {11},
     number = {1},
     pages = {25--33},
     issn = {1847-6996},
     code = {https://github.com/RQuispeC/multi-stream-crowd-counting-extended},
     link = {https://arxiv.org/abs/2002.09951}
   }
   

5. A. Ramírez Rivera, A. Khan, I. E. I. Bekkouch, and T. Sheikh, “Anomaly Detection based on Zero-Shot Outlier Synthesis and Hierarchical Feature Distillation,” IEEE Transactions on Neural Networks and Learning Systems, 2020, doi: 10.1109/TNNLS.2020.3027667.

   @article{RamirezRivera2020,
     author = {Ram\'irez Rivera, A. and Khan, A. and Bekkouch, I.E.I. and Sheikh, T.},
     title = {Anomaly Detection based on Zero-Shot Outlier Synthesis and Hierarchical Feature Distillation},
     journal = {{IEEE} Transactions on Neural Networks and Learning Systems},
     year = {2020},
     doi = {10.1109/TNNLS.2020.3027667},
     link = {https://arxiv.org/abs/2010.05119}
   }
   

2019

1. B. Kim, A. Ramírez Rivera, O. Chae, and J. Kim, “Background Modeling through Spatiotemporal Edge Feature and Color,” in International Symposium on Visual Computing (ISVC), 2019, doi: 10.1007/978-3-030-33723-0_16.

   @inproceedings{Kim2019,
     author = {Kim, B. and Ram\'irez Rivera, A. and Chae, O. and Kim, J.},
     title = {Background Modeling through Spatiotemporal Edge Feature and Color},
     booktitle = {International Symposium on Visual Computing ({ISVC})},
     year = {2019},
     month = oct,
     doi = {10.1007/978-3-030-33723-0_16}
   }
   

2. S. Robles, J. Gómez, A. Ramírez Rivera, J. González, N. Padilla, and D. Dujovne, “A Halo Merger Tree Generation and Evaluation Framework,” in Workshop on Theoretical Physics for Deep Learning (ICMLW), 2019.

   @inproceedings{Robles2019,
     author = {Robles, S. and G\'omez, J. and Ram\'irez Rivera, A. and Gonz\'alez, J. and Padilla, N. and Dujovne, D.},
     title = {A Halo Merger Tree Generation and Evaluation Framework},
     booktitle = {Workshop on Theoretical Physics for Deep Learning ({ICMLW})},
     year = {2019},
     month = jun,
     keywords = {key},
     link = {https://arxiv.org/abs/1906.09382}
   }
   

3. D. Saire and A. Ramírez Rivera, “Graph Learning Network: A Structure Learning Algorithm,” in Workshop on Learning and Reasoning with Graph-Structured Data (ICMLW), 2019.

   @inproceedings{Saire2019,
     author = {Saire, D. and Ram\'irez Rivera, A.},
     title = {Graph Learning Network: A Structure Learning Algorithm},
     booktitle = {Workshop on Learning and Reasoning with Graph-Structured Data ({ICMLW})},
     year = {2019},
     month = jun,
     code = {https://gitlab.com/mipl/graph-learning-network},
     note = {Spotlight},
     keywords = {key},
     link = {https://arxiv.org/abs/1905.12665}
   }
   

4. D. Ttito, R. Quispe, A. Ramírez Rivera, and H. Pedrini, “Where are the People? A Multi-Stream Convolutional Neural Network for Crowd Counting via Density Map from Complex Images,” in International Conference on Systems, Signals and Image Processing (IWSSIP), 2019, doi: 10.1109/IWSSIP.2019.8787217.

   @inproceedings{Ttito2019,
     author = {Ttito, D. and Quispe, R. and Ram\'irez Rivera, A. and Pedrini, H.},
     title = {Where are the People? A Multi-Stream Convolutional Neural Network for Crowd Counting via Density Map from Complex Images},
     booktitle = {International Conference on Systems, Signals and Image Processing ({IWSSIP})},
     year = {2019},
     month = jun,
     code = {https://github.com/RQuispeC/multi-stream-crowd-counting},
     doi = {10.1109/IWSSIP.2019.8787217}
   }
   

5. A. Khusainova, A. Khan, and A. Ramírez Rivera, “SART—Similarity, Analogies, and Relatedness for Tatar Language: New Benchmark Datasets for Word Embeddings Evaluation,” in International Conference on Computational Linguistics and Intelligent Text Processing (CICLing), 2019.

   @inproceedings{Khusainova2019,
     author = {Khusainova, A. and Khan, A. and Ram\'irez Rivera, A.},
     title = {{SART}---Similarity, Analogies, and Relatedness for Tatar~Language: New Benchmark~Datasets for Word~Embeddings Evaluation},
     booktitle = {International Conference on Computational Linguistics and Intelligent Text Processing ({CICLing})},
     year = {2019},
     month = apr,
     code = {https://github.com/tat-nlp/SART},
     link = {https://arxiv.org/abs/1904.00365}
   }
   

2018

1. P. Zhdanov, A. Khan, A. Ramírez Rivera, and A. Khattak, “Improving Human Action Recognition through Hierarchical Neural Network Classifiers,” in International Joint Conference on Neural Networks (IJCNN), 2018, doi: 10.1109/IJCNN.2018.8489663.

   @inproceedings{Zhdanov2018,
     author = {Zhdanov, P. and Khan, A. and Ram\'irez Rivera, A. and Khattak, A.},
     title = {Improving Human Action Recognition through Hierarchical Neural Network Classifiers},
     booktitle = {International Joint Conference on Neural Networks ({IJCNN})},
     year = {2018},
     month = jul,
     doi = {10.1109/IJCNN.2018.8489663}
   }
   

2017

1. J. Arias Figueroa and A. Ramírez Rivera, “Is Simple Better?: Revisiting Simple Generative Models for Unsupervised Clustering,” in Second workshop on Bayesian Deep Learning (NIPS 2017), 2017.

   @inproceedings{AriasFigueroa2017a,
     author = {Arias Figueroa, Jhosimar and Ram\'irez Rivera, A.},
     title = {Is Simple Better?: Revisiting Simple Generative Models for Unsupervised Clustering},
     booktitle = {Second workshop on Bayesian Deep Learning ({NIPS} 2017)},
     month = dec,
     year = {2017},
     code = {https://gitlab.com/mipl/simple-vae-clustering},
     link = {http://bayesiandeeplearning.org/2017/index.html}
   }
   

2. J. Arias Figueroa and A. Ramírez Rivera, “Learning to Cluster with Auxiliary Tasks: A Semi-Supervised Approach,” in 31th SIBGRAPI Conference on Graphics, Patterns and Images, SIBGRAPI 2017, 2017, pp. 1–8, doi: 10.1109/SIBGRAPI.2017.25.

   @inproceedings{AriasFigueroa2017,
     author = {Arias Figueroa, Jhosimar and Ram\'irez Rivera, A.},
     title = {Learning to Cluster with Auxiliary Tasks: A Semi-Supervised Approach},
     booktitle = {31th {SIBGRAPI} Conference on Graphics, Patterns and Images, {SIBGRAPI} 2017},
     year = {2017},
     month = oct,
     pages = {1--8},
     code = {https://gitlab.com/mipl/clustering-sibgrapi-2017},
     doi = {10.1109/SIBGRAPI.2017.25}
   }
   

3. A. Dobrenkii, R. Kuleev, A. Khan, A. Ramírez Rivera, and A. Khattak, “Large Residual Multiple View 3D CNN for False Positive Reduction in Pulmonary Nodule Detection,” in IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2017, doi: 10.1109/CIBCB.2017.8058549.

   @inproceedings{Dobrenkii2017,
     author = {Dobrenkii, A. and Kuleev, R. and Khan, A. and Ram\'irez Rivera, A. and Khattak, A.},
     title = {Large Residual Multiple View {3D} {CNN} for False Positive Reduction in Pulmonary Nodule Detection},
     booktitle = {{IEEE} International Conference on Computational Intelligence in Bioinformatics and Computational Biology ({CIBCB})},
     year = {2017},
     month = aug,
     publisher = {IEEE},
     doi = {10.1109/CIBCB.2017.8058549}
   }
   

4. M. Gusarev, R. Kuleev, A. Khan, A. Ramírez Rivera, and A. Khattak, “Deep Learning Models for Bone Suppression in Chest Radiographs,” in IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2017, doi: 10.1109/CIBCB.2017.8058543.

   @inproceedings{Gusarev2017,
     author = {Gusarev, M. and Kuleev, R. and Khan, A. and Ram\'irez Rivera, A. and Khattak, A.},
     title = {Deep Learning Models for Bone Suppression in Chest Radiographs},
     booktitle = {{IEEE} International Conference on Computational Intelligence in Bioinformatics and Computational Biology ({CIBCB})},
     year = {2017},
     month = aug,
     publisher = {IEEE},
     doi = {10.1109/CIBCB.2017.8058543}
   }
   

5. J. Kim, A. Ramírez Rivera, B. Kim, K. Roy, and O. Chae, “Background Modeling using Adaptive Properties of Hybrid Features,” in IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS), 2017, doi: 10.1109/AVSS.2017.8078475.

   @inproceedings{Kim2017,
     author = {Kim, J. and Ram\'irez Rivera, A. and Kim, B. and Roy, K. and Chae, O.},
     title = {Background Modeling using Adaptive Properties of Hybrid Features},
     booktitle = {{IEEE} International Conference on Advanced Video and Signal-Based Surveillance ({AVSS})},
     year = {2017},
     month = aug,
     publisher = {IEEE},
     doi = {10.1109/AVSS.2017.8078475}
   }
   

6. B. Ryu, A. Ramírez Rivera, J. Kim, and O. Chae, “Local Directional Ternary Pattern for Facial Expression Recognition,” IEEE Transactions on Image Processing, vol. 26, no. 12, pp. 6006–6018, 2017, doi: 10.1109/TIP.2017.2726010.

   @article{Ryu2017,
     author = {Ryu, B. and Ram\'irez Rivera, A. and Kim, J. and Chae, O.},
     title = {Local Directional Ternary Pattern for Facial Expression Recognition},
     journal = {{IEEE} Transactions on Image Processing},
     year = {2017},
     volume = {26},
     number = {12},
     pages = {6006--6018},
     issn = {1057-7149},
     doi = {10.1109/TIP.2017.2726010}
   }
   

2016

1. S. Hong, J. Kim, A. Ramírez Rivera, G. Song, and O. Chae, “Edge Shape Pattern for Background Modeling based on Hybrid Local Codes,” in IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS), 2016, doi: 10.1109/AVSS.2016.7738015.

   @inproceedings{Hong2016,
     author = {Hong, S. and Kim, J. and Ram\'irez Rivera, A. and Song, G. and Chae, O.},
     title = {Edge Shape Pattern for Background Modeling based on Hybrid Local Codes},
     booktitle = {{IEEE} International Conference on Advanced Video and Signal-Based Surveillance ({AVSS})},
     year = {2016},
     month = aug,
     organization = {IEEE},
     doi = {10.1109/AVSS.2016.7738015}
   }
   

2015

1. J. Kim, A. Ramírez Rivera, B. Ryu, and O. Chae, “Simultaneous foreground detection and classification with hybrid features,” in IEEE International Conference on Computer Vision (ICCV), 2015, pp. 3307–3315, doi: 10.1109/ICCV.2015.378.

   @inproceedings{Kim2015,
     author = {Kim, J. and Ram\'irez Rivera, A. and Ryu, B. and Chae, O.},
     title = {Simultaneous foreground detection and classification with hybrid features},
     booktitle = {{IEEE} International Conference on Computer Vision ({ICCV})},
     year = {2015},
     pages = {3307--3315},
     doi = {10.1109/ICCV.2015.378}
   }
   

2. A. Ramírez Rivera, J. Rojas Castillo, and O. Chae, “Local Directional Texture Pattern Image Descriptor,” Pattern Recognition Letters, vol. 51, no. 0, pp. 94–100, 2015, doi: 10.1016/j.patrec.2014.08.012. [Online ] . Available at: http://www.sciencedirect.com/science/article/pii/S0167865514002724

   @article{RamirezRivera2015,
     title = {Local Directional Texture Pattern Image Descriptor},
     author = {Ram\'irez Rivera, A. and Rojas Castillo, Jorge and Chae, Oksam},
     journal = {Pattern Recognition Letters},
     year = {2015},
     number = {0},
     pages = {94--100},
     volume = {51},
     doi = {10.1016/j.patrec.2014.08.012},
     issn = {0167-8655},
     url = {http://www.sciencedirect.com/science/article/pii/S0167865514002724},
     code = {https://gitlab.com/mipl/ldtp}
   }
   

3. A. Ramírez Rivera and O. Chae, “Spatiotemporal Directional Number Transitional Graph for Dynamic Texture Recognition,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 37, no. 10, pp. 2146–2152, 2015, doi: 10.1109/TPAMI.2015.2392774.

   @article{RamirezRivera2015a,
     author = {Ram\'irez Rivera, A. and Chae, O.},
     title = {Spatiotemporal Directional Number Transitional Graph for Dynamic Texture Recognition},
     journal = {{IEEE} Transactions on Pattern Analysis and Machine Intelligence},
     year = {2015},
     volume = {37},
     number = {10},
     pages = {2146--2152},
     issn = {0162-8828},
     code = {https://gitlab.com/mipl/spatiotemporal-directional-number-graph},
     doi = {10.1109/TPAMI.2015.2392774}
   }
   

2014

1. J. Kim, A. Ramírez Rivera, B. Ryu, K. Ahn, and O. Chae, “Unattended object detection based on edge-segment distributions,” in IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2014, pp. 283–288, doi: 10.1109/AVSS.2014.6918682.

   @inproceedings{Kim2014,
     author = {Kim, Jaemyun and Ram\'irez Rivera, A. and Ryu, Byungyong and Ahn, Kiok and Chae, Oksam},
     title = {Unattended object detection based on edge-segment distributions},
     booktitle = {{IEEE} International Conference on Advanced Video and Signal Based Surveillance ({AVSS})},
     year = {2014},
     pages = {283--288},
     month = aug,
     doi = {10.1109/AVSS.2014.6918682}
   }
   

2013

1. J. Kim, A. Ramírez Rivera, G. Song, B. Ryu, and O. Chae, “Edge-segment-based Background Modeling: Non-parametric online background update,” in IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2013, pp. 214–219, doi: 10.1109/AVSS.2013.6636642.

   @inproceedings{Kim2013,
     author = {Kim, Jaemyun and Ram\'irez Rivera, A. and Song, Gihun and Ryu, Byungyong and Chae, O.},
     title = {Edge-segment-based Background Modeling: Non-parametric online background update},
     booktitle = {{IEEE} International Conference on Advanced Video and Signal Based Surveillance (AVSS)},
     year = {2013},
     pages = {214-219},
     month = aug,
     doi = {10.1109/AVSS.2013.6636642}
   }
   

2. A. Ramírez Rivera, M. Murshed, J. Kim, and O. Chae, “Background Modeling Through Statistical Edge-Segment Distributions,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 23, no. 8, pp. 1375–1387, Aug. 2013, doi: 10.1109/TCSVT.2013.2242551.

   @article{RamirezRivera2013a,
     author = {Ram\'irez Rivera, A. and Murshed, M. and Kim, Jaemyun and Chae, Oksam},
     title = {Background Modeling Through Statistical Edge-Segment Distributions},
     journal = {{IEEE} Transactions on Circuits and Systems for Video Technology},
     year = {2013},
     volume = {23},
     number = {8},
     pages = {1375--1387},
     month = aug,
     issn = {1051-8215},
     doi = {10.1109/TCSVT.2013.2242551}
   }
   

3. J. Kim, M. Murshed, A. Ramírez Rivera, and O. Chae, “Background Modelling Using Edge-Segment Distributions,” International Journal of Advanced Robotic Systems, Feb. 2013, doi: 10.5772/54185.

   @article{Kim2013a,
     title = {Background Modelling Using Edge-Segment Distributions},
     author = {Kim, J. and Murshed, M. and Ram\'irez Rivera, A. and Chae, O.},
     journal = {International Journal of Advanced Robotic Systems},
     year = {2013},
     month = feb,
     doi = {10.5772/54185}
   }
   

4. A. Ramírez Rivera, J. Rojas Castillo, and O. Chae, “Local Directional Number Pattern for Face Analysis: Face and Expression Recognition,” IEEE Transactions on Image Processing, vol. 22, no. 5, pp. 1740–1752, 2013, doi: 10.1109/TIP.2012.2235848.

   @article{RamirezRivera2013,
     author = {Ram\'irez Rivera, A. and Rojas Castillo, J. and Chae, O.},
     title = {Local Directional Number Pattern for Face Analysis: Face and Expression Recognition},
     journal = {{IEEE} Transactions on Image Processing},
     year = {2013},
     volume = {22},
     number = {5},
     pages = {1740--1752},
     issn = {1057-7149},
     code = {https://gitlab.com/mipl/local-directional-number-pattern},
     doi = {10.1109/TIP.2012.2235848}
   }
   

2012

1. J. Rojas Castillo, A. Ramírez Rivera, and O. Chae, “Robust Facial Recognition Based on Local Gaussian Structural Pattern,” International Journal of Innovative Computing, Information and Control, vol. 8, no. 12, pp. 8399–8413, Dec. 2012.

   @article{RojasCastillo2012a,
     title = {Robust Facial Recognition Based on Local Gaussian Structural Pattern},
     author = {Rojas Castillo, J. and Ram\'irez Rivera, A. and Chae, O.},
     journal = {International Journal of Innovative Computing, Information and Control},
     year = {2012},
     month = dec,
     number = {12},
     pages = {8399--8413},
     volume = {8}
   }
   

2. A. Ramírez Rivera, J. Rojas Castillo, and O. Chae, “Local Gaussian Directional Pattern for Face Recognition,” in International Conference on Pattern Recognition (ICPR), 2012, pp. 1000–1003.

   @inproceedings{RamirezRivera2012a,
     author = {Ram\'irez Rivera, A. and Rojas Castillo, J. and Chae, O.},
     title = {Local Gaussian Directional Pattern for Face Recognition},
     booktitle = {International Conference on Pattern Recognition ({ICPR})},
     year = {2012},
     pages = {1000--1003},
     month = nov,
     link = {https://ieeexplore.ieee.org/document/6460304}
   }
   

3. A. Ramírez Rivera, J. Rojas Castillo, and O. Chae, “Recognition of Face Expressions Using Local Principal Texture Pattern,” in International Conference on Image Processing (ICIP), 2012, pp. 2609–2612, doi: 10.1109/ICIP.2012.6467433.

   @inproceedings{RamirezRivera2012b,
     author = {Ram\'irez Rivera, A. and Rojas Castillo, J. and Chae, O.},
     title = {Recognition of Face Expressions Using Local Principal Texture Pattern},
     booktitle = {International Conference on Image Processing ({ICIP})},
     year = {2012},
     pages = {2609--2612},
     month = oct,
     doi = {10.1109/ICIP.2012.6467433}
   }
   

4. J. Rojas Castillo, A. Ramírez Rivera, and O. Chae, “Facial Expression Recognition Based on Local Sign Directional Pattern,” in International Conference on Image Processing (ICIP), 2012, pp. 2613–2616, doi: 10.1109/ICIP.2012.6467434.

   @inproceedings{RojasCastillo2012,
     author = {Rojas Castillo, J. and Ram\'irez Rivera, A. and Chae, O.},
     title = {Facial Expression Recognition Based on Local Sign Directional Pattern},
     booktitle = {International Conference on Image Processing ({ICIP})},
     year = {2012},
     pages = {2613--2616},
     month = oct,
     doi = {10.1109/ICIP.2012.6467434}
   }
   

5. A. Ramírez Rivera, B. Ryu, and O. Chae, “Content-Aware Dark Image Enhancement through Channel Division,” IEEE Transactions on Image Processing, vol. 21, no. 9, pp. 3967–3980, Sep. 2012, doi: 10.1109/TIP.2012.2198667.

   @article{RamirezRivera2012c,
     author = {Ram\'irez Rivera, A. and Ryu, B. and Chae, O.},
     title = {Content-Aware Dark Image Enhancement through Channel Division},
     journal = {{IEEE} Transactions on Image Processing},
     year = {2012},
     volume = {21},
     number = {9},
     pages = {3967--3980},
     month = sep,
     doi = {10.1109/TIP.2012.2198667}
   }
   

6. J. Kim, A. Ramírez Rivera, M. Park, and O. Chae, “Scene Modeling using Edge Segment Distributions,” in International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV), 2012.

   @inproceedings{Kim2012,
     author = {Kim, J. and Ram\'irez Rivera, A. and Park, M. and Chae, O.},
     title = {Scene Modeling using Edge Segment Distributions},
     booktitle = {International Conference on Image Processing, Computer Vision, and Pattern Recognition ({IPCV})},
     year = {2012},
     month = jul
   }
   

7. M. Murshed, A. Ramírez Rivera, J. Kim, and O. Chae, “Statistical Binary Edge Frequency Accumulation Model for Moving Object Detection,” International Journal of Innovative Computing, Information and Control, vol. 8, no. 7(B), pp. 4943–4957, Jul. 2012.

   @article{Murshed2012,
     title = {Statistical Binary Edge Frequency Accumulation Model for Moving Object Detection},
     author = {Murshed, M. and Ram\'irez Rivera, A. and Kim, J. and Chae, O.},
     journal = {International Journal of Innovative Computing, Information and Control},
     year = {2012},
     month = jul,
     number = {7(B)},
     pages = {4943--4957},
     volume = {8}
   }
   

2011

1. A. Ramírez Rivera, M. Murshed, and O. Chae, “Object Detection through Edge Behavior Modeling,” in IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS), 2011, pp. 273–278, doi: 10.1109/AVSS.2011.6027336.

   @inproceedings{RamirezRivera2011,
     author = {Ram\'irez Rivera, A. and Murshed, M. and Chae, O.},
     title = {Object Detection through Edge Behavior Modeling},
     booktitle = {{IEEE} International Conference on Advanced Video and Signal-Based Surveillance ({AVSS})},
     year = {2011},
     pages = {273--278},
     month = aug,
     organization = {IEEE},
     doi = {10.1109/AVSS.2011.6027336}
   }
   

2. M. Murshed, A. Ramírez Rivera, and O. Chae, “Moving Edge Segment Matching for the Detection of Moving Object,” Lecture Notes in Computer Science, vol. 6753, pp. 274–283, Jun. 2011, doi: 10.1007/978-3-642-21593-3_28.

   @article{Murshed2011,
     title = {Moving Edge Segment Matching for the Detection of Moving Object},
     author = {Murshed, M. and Ram\'irez Rivera, A. and Chae, O.},
     journal = {Lecture Notes in Computer Science},
     year = {2011},
     month = jun,
     pages = {274--283},
     volume = {6753},
     booktitle = {Lecture Notes in Computer Science},
     publisher = {Springer Berlin/Heidelberg},
     doi = {10.1007/978-3-642-21593-3_28}
   }
   

2010

1. M. Murshed, A. Ramírez Rivera, and O. Chae, “Statistical Background Modeling: An Edge Segment based Moving Object Detection Approach,” in IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2010, pp. 300–306, doi: 10.1109/AVSS.2010.18.

   @inproceedings{Murshed2010,
     author = {Murshed, M. and Ram\'irez Rivera, A. and Chae, O.},
     title = {Statistical Background Modeling: An Edge Segment based Moving Object Detection Approach},
     booktitle = {{IEEE} International Conference on Advanced Video and Signal Based Surveillance ({AVSS})},
     year = {2010},
     pages = {300--306},
     month = aug,
     organization = {IEEE},
     doi = {10.1109/AVSS.2010.18}
   }