Adín Ramírez Rivera

Image of Adín Ramírez Rivera
Norwegian version of this page
Phone +47 22840818
Room 4457
Username
Visiting address Gaustadalléen 23B Ole-Johan Dahls hus 0373 Oslo
Postal address Postboks 1080 Blindern 0316 Oslo

I am an Associate Professor in the Digital Signal Processing and Image Analysis (DSB) group, which is part of the Section for Machine Learning, Department of Informatics.

I graduated from Kyung Hee University, in South Korea, and obtained my PhD working at the Image Processing Lab. I worked on facial analysis, object detection and image enhancement.  I did my Bachelor in Engineering from Universidad de San Carlos de Guatemala on Computer Science and Systems Engineering.

I'm interested in Computer Vision and Machine Learning. I work on several topics of computer vision and applied machine learning. I'm exploring the use of machine learning for a description of the world and its understanding through (mainly, but not limited to) vision sources.

Tags: Computer Vision, Machine Learning, Representation Learning

Publications

  • Saire, Darwin & Ramírez Rivera, Adín (2022). Global and Local Features through Gaussian Mixture Models on Image Semantic Segmentation. IEEE Access. ISSN 2169-3536. doi: 10.1109/ACCESS.2022.3192605.
  • Silva, Thalles & Ramírez Rivera, Adín (2022). Representation Learning via Consistent Assignment of Views to Clusters. In Hong, Jiman; Bures, Miroslav; Park, Juw Won & Cerny, Tomas (Ed.), SAC '22: Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing. Association for Computing Machinery (ACM). ISSN 978-1-4503-8713-2. doi: 10.1145/3477314.3507267.
  • Robles, Sandra; Gómez, Jonathan; Ramírez Rivera, Adín; Padilla, Nelson & Dujovne, Diego (2022). A deep learning approach to halo merger tree construction. Monthly notices of the Royal Astronomical Society. ISSN 0035-8711. 514(3), p. 3692–3708. doi: 10.1093/mnras/stac1569.
  • Albarracin, Juan F. Hernandez & Ramírez Rivera, Adín (2022). Video Reenactment as Inductive Bias for Content-Motion Disentanglement. IEEE Transactions on Image Processing. ISSN 1057-7149. 31, p. 2365–2374. doi: 10.1109/TIP.2022.3153140.
  • Khusainova, Albina; Khan, Adil; Ramírez Rivera, Adín & Romanov, Vitaly (2021). Hierarchical Transformer for Multilingual Machine Translation. In Zampieri, Marcos; Nakov, Preslav; Ljubešic, Nikola; Tiedemann, Jörg; Scherrer, Yves & Jauhiainen, Tommi (Ed.), Proceedings of the Eighth Workshop on NLP for Similar Languages, Varieties and Dialects, VarDial@EACL 2021. Association for Computational Linguistics. ISSN 978-1-954085-12-1.
  • Nikolentzos, Giannis; Thomas, Michalis; Ramírez Rivera, Adín & Vazirgiannis, Michalis (2021). Image Classification using Graph-based Representations and Graph Neural Networks. In Benito, Rosa M.; Cherifi, Chantal; Cherifi, Hocine; Moro, Esteban; Rocha, Luis Mateus & Sales-Pardo, Marta (Ed.), Complex Networks & Their Applications IX. COMPLEX NETWORKS 2020 2020. Springer. ISSN 978-3-030-65351-4. doi: 10.1007/978-3-030-65351-4_12.
  • Saire, Darwin & Ramírez Rivera, Adín (2021). Empirical Study of Multi-Task Hourglass Model for Semantic Segmentation Task. IEEE Access. ISSN 2169-3536. doi: 10.1109/ACCESS.2021.3085218.
  • Rodríguez Santander, Miguel; Hernández Albarracín, Juan & Ramírez Rivera, Adín (2021). On the Pitfalls of Learning with Limited Data: A Facial Expression Recognition Case Study. Expert Systems With Applications. ISSN 0957-4174. doi: 10.1016/j.eswa.2021.114991.
  • Quispe, Rodolfo; Ttito, Darwin; Ramírez Rivera, Adín & Pedrini, Helio (2020). Multi-Stream Networks and Ground- Truth Generation for Crowd Counting. International Journal of Electrical and Computer Engineering Systems. ISSN 1847-6996.
  • Ramírez Rivera, Adín; Khan, Adil; Bekkouch, Imad Eddine Ibrahim & Sheikh, Taimoor Shakeel (2020). Anomaly Detection based on Zero- Shot Outlier Synthesis and Hierarchical Feature Distillation. IEEE Transactions on Neural Networks and Learning Systems. ISSN 2162-237X. doi: 10.1109/TNNLS.2020.3027667.
  • Iqbal, Md Tauhid Bin; Ryu, Byungyong; Ramírez Rivera, Adín; Makhmudkhujaev, Farkhod; Chae, Oksam & Bae, Sung-Ho (2020). Facial Expression Recognition with Active Local Shape Pattern and Learned-Size Block Representations. IEEE Transactions on Affective Computing. ISSN 1949-3045. doi: 10.1109/TAFFC.2020.2995432.
  • Ttito, Darwin; Quispe, Rodolfo; Ramírez Rivera, Adín & Pedrini, Helio (2019). Where are the People? A Multi-Stream Convolutional Neural Network for Crowd Counting via Density Map from Complex Images. In Žagar, Drago; Rimac-Drlje, Snježana; Martinović, Goran; Galić, Irena; Vranješ, Denis & Habijan, Marija (Ed.), IWSSIP 2019, 25th International Conference on Systems, Signals and image processing; 5 - 7 June 2019, Osijek, Croatia. IEEE conference proceedings. ISSN 978-1-7281-3227-3.
  • Kim, Byeongwoo; Ramírez Rivera, Adín; Chae, Oksam & Kim, Jaemyun (2019). Background Modeling through Spatiotemporal Edge Feature and Color. In Bebis, George; Boyle, Richard; Parvin, Bahram; Koracin, Darko; Ushizima, Daniela; Chai, Sek; Sueda, Shinjiro; Lin, Xin; Lu, Aidong; Thalmann, Daniel; Wang, Chaoli & Xu, Panpan (Ed.), Advances in Visual Computing. ISVC 2019. . Springer. ISSN 978-3-030-33723-0. doi: 10.1007/978-3-030-33723-0_16.
  • Zhdanov, Pavel; Khan, Adil; Ramírez Rivera, Adín & Khattak, Asad Masood (2018). Improving Human Action Recognition through Hierarchical Neural Network Classifiers. In Ludermir, Teresa; Braga, Antônio; Roy, Asim; Cavalcanti, George; Príncipe, José Carlos & Lorena, Ana (Ed.), Proceedings of the International Joint Conference on Neural Networks (IJCNN). IEEE (Institute of Electrical and Electronics Engineers). ISSN 978-1-5090-6014-6.
  • Kim, Jaemyun; Ramírez Rivera, Adín; Kim, Byeongwoo; Roy, Kaushik & Chae, Oksam (2017). Background Modeling using Adaptive Properties of Hybrid Features. In Distante, Cosimo & Davis, Larry S. (Ed.), Proceedings of the 2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS). IEEE Signal Processing Society. ISSN 978-1-5386-2939-0. doi: 10.1109/AVSS.2017.8078475.
  • Gusarev, Maxim; Kuleev, Ramil; Khan, Adil; Ramírez Rivera, Adín & Khattak, Asad Masood (2017). Deep Learning Models for Bone Suppression in Chest Radiographs. In Allmendinger, Richard; Corns, Steven; Ashlock, Wendy & Houghten, Sheridan (Ed.), Proceedings of the 2017 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). IEEE (Institute of Electrical and Electronics Engineers). ISSN 978-1-4673-8988-4. doi: 10.1109/CIBCB.2017.8058543.
  • Dobrenkii, Anton; Kuleev, Ramil; Khan, Adil; Ramírez Rivera, Adín & Khattak, Asad Masood (2017). Large Residual Multiple View 3D CNN for False Positive Reduction in Pulmonary Nodule Detection. In Allmendinger, Richard; Corns, Steven; Ashlock, Wendy & Houghten, Sheridan (Ed.), Proceedings of the 2017 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). IEEE (Institute of Electrical and Electronics Engineers). ISSN 978-1-4673-8988-4. doi: 10.1109/CIBCB.2017.8058549.
  • Arias, Jhosimar & Ramírez Rivera, Adín (2017). Learning to Cluster with Auxiliary Tasks: A Semi-Supervised Approach. In Torchelsen, Rafael P.; Panozzo, Daniele; Nascimento, Erickson R. & Liu, Zicheng (Ed.), 30th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI). IEEE (Institute of Electrical and Electronics Engineers). ISSN 978-1-5386-2219-3. doi: 10.1109/SIBGRAPI.2017.25.
  • Ryu, Byungyong; Ramírez Rivera, Adín; Kim, Jaemyun & Chae, Oksam (2017). Local Directional Ternary Pattern for Facial Expression Recognition. IEEE Transactions on Image Processing. ISSN 1057-7149. doi: 10.1109/TIP.2017.2726010.
  • Hong, Seokjin; Kim, Jaemyun; Ramírez Rivera, Adín; Song, Gihun & Chae, Oksam (2016). Edge Shape Pattern for Background Modeling based on Hybrid Local Codes. In Boult, Terry & Nevatia, Ram (Ed.), Proceedings of the 2016 13th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS). IEEE Signal Processing Society. ISSN 978-1-5090-3811-4. doi: 10.1109/AVSS.2016.7738015.
  • Kim, Jaemyun; Ramírez Rivera, Adín; Ryu, Byungyong & Chae, Oksam (2015). Simultaneous foreground detection and classification with hybrid features. In Bajcsy, Ruzena; Hager, Greg & Ma, Yi (Ed.), Proceedings of the 2015 IEEE International Conference on Computer Vision (ICCV). IEEE (Institute of Electrical and Electronics Engineers). ISSN 978-1-4673-8391-2. doi: 10.1109/ICCV.2015.378.
  • Ramírez Rivera, Adín & Chae, Oksam (2015). Spatiotemporal Directional Number Transitional Graph for Dynamic Texture Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. ISSN 0162-8828. doi: 10.1109/TPAMI.2015.2392774.
  • Ramírez Rivera, Adín; Rojas Castillo, Jorge & Chae, Oksam (2015). Local Directional Texture Pattern Image Descriptor. Pattern Recognition Letters. ISSN 0167-8655. doi: 10.1016/j.patrec.2014.08.012.
  • Kim, Jaemyun; Ramírez Rivera, Adín; Ryu, Byungyong; Ahn, Kiok & Chae, Oksam (2014). Unattended object detection based on edge-segment distributions. In Ko, Hanseok & Choi, Jin Young (Ed.), Proceedings of the 2014 11th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS). IEEE (Institute of Electrical and Electronics Engineers). ISSN 978-1-4799-4871-0. doi: 10.1109/AVSS.2014.6918682.
  • Kim, Jaemyun; Ramírez Rivera, Adín; Song, Gihun; Ryu, Byungyong & Chae, Oksam (2013). Edge-segment-based Background Modeling: Non-parametric online background update, 10th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2013, Krakow, 27-30 Aug. 2013. IEEE (Institute of Electrical and Electronics Engineers). ISSN 978-1-4799-0703-8.
  • Kim, Jaemyun; Murshed, Mahbub; Ramírez Rivera, Adín & Chae, Oksam (2013). Background Modelling Using Edge-Segment Distributions. International Journal of Advanced Robotic Systems (IJARS). ISSN 1729-8806. doi: 10.5772/54185.
  • Ramírez Rivera, Adín; Murshed, Mahbub; Kim, Jaemyun & Chae, Oksam (2013). Background Modeling Through Statistical Edge-Segment Distributions. IEEE transactions on circuits and systems for video technology (Print). ISSN 1051-8215. doi: 10.1109/TCSVT.2013.2242551.
  • Ramírez Rivera, Adín; Rojas Castillo, Jorge & Chae, Oksam (2013). Local Directional Number Pattern for Face Analysis: Face and Expression Recognition. IEEE Transactions on Image Processing. ISSN 1057-7149. doi: 10.1109/TIP.2012.2235848.
  • Rojas Castillo, Jorge; Ramírez Rivera, Adín & Chae, Oksam (2012). Facial Expression Recognition Based on Local Sign Directional Pattern. In Saber, Eli (Eds.), Proceedings of the 2012 19th IEEE International Conference on Image Processing. IEEE (Institute of Electrical and Electronics Engineers). ISSN 978-1-4673-2533-2. doi: 10.1109/ICIP.2012.6467434.
  • Ramírez Rivera, Adín; Rojas Castillo, Jorge & Chae, Oksam (2012). Local Gaussian Directional Pattern for Face Recognition. In Saber, Eli (Eds.), Proceedings of the 2012 19th IEEE International Conference on Image Processing. IEEE (Institute of Electrical and Electronics Engineers). ISSN 978-1-4673-2533-2. doi: 10.1109/ICIP.2012.6467433.
  • Ramírez Rivera, Adín; Rojas Castillo, Jorge & Chae, Oksam (2012). Local Gaussian Directional Pattern for Face Recognition. In Saito, Hideo & Aoki, Yoshimitsu (Ed.), Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012); November 11-15, 2012; Tsukuba, Japan. IEEE conference proceedings. ISSN 978-4-9906441-0-9.
  • Murshed, Mahbub; Ramírez Rivera, Adín; Kim, Jaemyun & Chae, Oksam (2012). Statistical Binary Edge Frequency Accumulation Model for Moving Object Detection. International Journal of Innovative Computing, Information and Control. ISSN 1349-4198.
  • Ramírez Rivera, Adín; Ryu, Byungyong & Chae, Oksam (2012). Content-Aware Dark Image Enhancement through Channel Division. IEEE Transactions on Image Processing. ISSN 1057-7149. doi: 10.1109/TIP.2012.2198667.
  • Rojas Castillo, Jorge; Ramírez Rivera, Adín & Chae, Oksam (2012). Robust Facial Recognition Based on Local Gaussian Structural Pattern. International Journal of Innovative Computing, Information and Control. ISSN 1349-4198.
  • Ramírez Rivera, Adín; Murshed, Mahbub & Chae, Oksam (2011). Object Detection through Edge Behavior Modeling. In Foresti, Gian Luca & Rinner, Bernhard (Ed.), Proceedings of the 2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS). IEEE (Institute of Electrical and Electronics Engineers). ISSN 978-1-4577-0845-9. doi: 10.1109/AVSS.2011.6027336.
  • Murshed, Mahbub; Ramírez Rivera, Adín & Chae, Oksam (2011). Moving Edge Segment Matching for the Detection of Moving Object. Lecture Notes in Computer Science (LNCS). ISSN 0302-9743.
  • Murshed, Mahbub; Ramírez Rivera, Adín & Chae, Oksam (2010). Statistical Background Modeling: An Edge Segment based Moving Object Detection Approach. In Porikli, Fatih (Eds.), Proceedings of the 2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS). IEEE (Institute of Electrical and Electronics Engineers). ISSN 978-1-4244-8311-2. doi: 10.1109/AVSS.2010.18.

View all works in Cristin

  • Silva, Thalles & Ramírez Rivera, Adín (2021). Consistent Assignment for Representation Learning.
  • Silva, Matteus; Bittencourt, Luiz Fernando & Ramírez Rivera, Adín (2020). Towards Federated Learning in Edge Com- puting for Real-Time Traffic Estimation in Smart Cities.
  • Khusainova, Albina; Khan, Adil & Ramírez Rivera, Adín (2019). SART—Similarity, Analogies, and Relatedness for Tatar Language: New Benchmark Datasets for Word Embeddings Evaluation.
  • Saire, Darwin & Ramírez Rivera, Adín (2019). Graph Learning Network: A Structure Learning Algorithm.
  • Robles, Sandra; Gómez, Jonathan; Ramírez Rivera, Adín; Gonzáles, Jenny; Padilla, Nelson & Dujovne, Diego (2019). A Halo Merger Tree Generation and Evaluation Framework.
  • Arias, Jhosimar & Ramírez Rivera, Adín (2017). Is Simple Better?: Revisiting Simple Generative Models for Unsupervised Clustering.
  • Kim, Jaemyun; Ramírez Rivera, Adín; Park, Minsun & Chae, Oksam (2012). Scene Modeling using Edge Segment Distributions.

View all works in Cristin

Published Jan. 7, 2022 1:59 PM - Last modified Aug. 25, 2022 1:57 PM