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

  • 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. doi: 10.1093/mnras/stac1569.
  • Hernández Albarracín, Juan & Ramírez Rivera, Adín (2022). Video Reenactment as Inductive Bias for Content-Motion Disentanglement. IEEE Transactions on Image Processing. ISSN 1057-7149. 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.
  • 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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 Feb. 18, 2022 11:40 AM