Adín Ramírez Rivera

Bilde av Adín Ramírez Rivera
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Telefon +47 22840818
Rom 4457
Brukernavn
Besøksadresse Gaustadalléen 23B Ole-Johan Dahls hus 0373 Oslo
Postadresse Postboks 1080 Blindern 0316 Oslo

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Publikasjoner

  • Silva, Thalles; Pedrini, Helio & Ramírez Rivera, Adín (2023). Self-supervised Learning of Contextualized Local Visual Embeddings. I Cho, Minsu & Ham, Bumsub (Red.), 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW). IEEE (Institute of Electrical and Electronics Engineers). ISSN 979-8-3503-0744-3. s. 177–186. doi: 10.1109/ICCVW60793.2023.00025. Fulltekst i vitenarkiv
  • de Oliveira Souza, Bruno Cesar; Aasan, Marius; Pedrini, Helio & Ramírez Rivera, Adín (2023). SelfGraphVQA: A Self-Supervised Graph Neural Network for Scene-based Question Answering. I Cho, Minsu & Ham, Bumsub (Red.), 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW). IEEE (Institute of Electrical and Electronics Engineers). ISSN 979-8-3503-0744-3. s. 4642–4647. doi: 10.1109/ICCVW60793.2023.00499. Fulltekst i vitenarkiv
  • Kenfack, Patrik; Ramírez Rivera, Adín; Khan, Adil & Mazzara, Manuel (2023). Learning Fair Representations through Uniformly Distributed Sensitive Attributes. I McDaniel, Patrick & Papernot, Nicolas (Red.), 2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML). IEEE (Institute of Electrical and Electronics Engineers). ISSN 978-1-6654-6299-0. doi: 10.1109/SaTML54575.2023.00014. Fulltekst i vitenarkiv
  • Saire, Darwin & Ramírez Rivera, Adín (2022). Global and Local Features Through Gaussian Mixture Models on Image Semantic Segmentation. IEEE Access. ISSN 2169-3536. 10, s. 77323–77336. doi: 10.1109/ACCESS.2022.3192605.
  • Silva, Thalles & Ramírez Rivera, Adín (2022). Representation Learning via Consistent Assignment of Views to Clusters. I Hong, Jiman; Bures, Miroslav; Park, Juw Won & Cerny, Tomas (Red.), 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), s. 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, s. 2365–2374. doi: 10.1109/TIP.2022.3153140. Fulltekst i vitenarkiv
  • Khusainova, Albina; Khan, Adil; Ramírez Rivera, Adín & Romanov, Vitaly (2021). Hierarchical Transformer for Multilingual Machine Translation. I Zampieri, Marcos; Nakov, Preslav; Ljubešic, Nikola; Tiedemann, Jörg; Scherrer, Yves & Jauhiainen, Tommi (Red.), 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. s. 12–20.
  • Nikolentzos, Giannis; Thomas, Michalis; Ramírez Rivera, Adín & Vazirgiannis, Michalis (2021). Image Classification using Graph-based Representations and Graph Neural Networks. I Benito, Rosa M.; Cherifi, Chantal; Cherifi, Hocine; Moro, Esteban; Rocha, Luis Mateus & Sales-Pardo, Marta (Red.), Complex Networks & Their Applications IX. COMPLEX NETWORKS 2020 2020. Springer. ISSN 978-3-030-65351-4. s. 142–153. 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. 9, s. 80654–80670. 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. 183. 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. 11(1). doi: 10.32985/ijeces.11.1.4.
  • 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. 33(1), s. 281–291. 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. 13(3), s. 1322–1336. 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. I Žagar, Drago; Rimac-Drlje, Snježana; Martinović, Goran; Galić, Irena; Vranješ, Denis & Habijan, Marija (Red.), 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. doi: 10.1109/IWSSIP.2019.8787217.
  • Kim, Byeongwoo; Ramírez Rivera, Adín; Chae, Oksam & Kim, Jaemyun (2019). Background Modeling through Spatiotemporal Edge Feature and Color. I Bebis, George; Boyle, Richard; Parvin, Bahram; Koracin, Darko; Ushizima, Daniela; Chai, Sek; Sueda, Shinjiro; Lin, Xin; Lu, Aidong; Thalmann, Daniel; Wang, Chaoli & Xu, Panpan (Red.), Advances in Visual Computing. ISVC 2019. . Springer. ISSN 978-3-030-33723-0. s. 196–208. 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. I Ludermir, Teresa; Braga, Antônio; Roy, Asim; Cavalcanti, George; Príncipe, José Carlos & Lorena, Ana (Red.), Proceedings of the International Joint Conference on Neural Networks (IJCNN). IEEE (Institute of Electrical and Electronics Engineers). ISSN 978-1-5090-6014-6. doi: 10.1109/IJCNN.2018.8489663.
  • Kim, Jaemyun; Ramírez Rivera, Adín; Kim, Byeongwoo; Roy, Kaushik & Chae, Oksam (2017). Background Modeling using Adaptive Properties of Hybrid Features. I Distante, Cosimo & Davis, Larry S. (Red.), 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. I Allmendinger, Richard; Corns, Steven; Ashlock, Wendy & Houghten, Sheridan (Red.), 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. I Allmendinger, Richard; Corns, Steven; Ashlock, Wendy & Houghten, Sheridan (Red.), 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. I Torchelsen, Rafael P.; Panozzo, Daniele; Nascimento, Erickson R. & Liu, Zicheng (Red.), 30th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI). IEEE (Institute of Electrical and Electronics Engineers). ISSN 978-1-5386-2219-3. s. 141–148. 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. 26(12), s. 6006–6018. 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. I Boult, Terry & Nevatia, Ram (Red.), 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. I Bajcsy, Ruzena; Hager, Greg & Ma, Yi (Red.), 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. 37(10), s. 2146–2152. 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. 51, s. 94–100. 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. I Ko, Hanseok & Choi, Jin Young (Red.), 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. s. 283–288. 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. s. 214–219. doi: 10.1109/AVSS.2013.6636642.
  • 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. 10. 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. 23(8), s. 1375–1387. 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. 22(5), s. 1740–1752. doi: 10.1109/TIP.2012.2235848.
  • Rojas Castillo, Jorge; Ramírez Rivera, Adín & Chae, Oksam (2012). Facial Expression Recognition Based on Local Sign Directional Pattern. I Saber, Eli (Red.), Proceedings of the 2012 19th IEEE International Conference on Image Processing. IEEE (Institute of Electrical and Electronics Engineers). ISSN 978-1-4673-2533-2. s. 2613–2616. doi: 10.1109/ICIP.2012.6467434.
  • Ramírez Rivera, Adín; Rojas Castillo, Jorge & Chae, Oksam (2012). Recognition of face expressions using Local Principal Texture Pattern. I Saber, Eli (Red.), Proceedings of the 2012 19th IEEE International Conference on Image Processing. IEEE (Institute of Electrical and Electronics Engineers). ISSN 978-1-4673-2533-2. s. 2609–2612. doi: 10.1109/ICIP.2012.6467433.
  • Ramírez Rivera, Adín; Rojas Castillo, Jorge & Chae, Oksam (2012). Local Gaussian Directional Pattern for Face Recognition. I Saito, Hideo & Aoki, Yoshimitsu (Red.), 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. s. 1000–1003.
  • 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. 8(7(B)), s. 4943–4957.
  • Ramírez Rivera, Adín; Ryu, Byungyong & Chae, Oksam (2012). Content-Aware Dark Image Enhancement through Channel Division. IEEE Transactions on Image Processing. ISSN 1057-7149. 21(9), s. 3967–3980. 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. 8(12), s. 8399–8413.
  • Ramírez Rivera, Adín; Murshed, Mahbub & Chae, Oksam (2011). Object Detection through Edge Behavior Modeling. I Foresti, Gian Luca & Rinner, Bernhard (Red.), 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. s. 273–278. 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. 6753, s. 274–283. doi: 10.1007/978-3-642-21593-3_28.
  • Murshed, Mahbub; Ramírez Rivera, Adín & Chae, Oksam (2010). Statistical Background Modeling: An Edge Segment based Moving Object Detection Approach. I Porikli, Fatih (Red.), 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. s. 300–306. doi: 10.1109/AVSS.2010.18.

Se alle arbeider i Cristin

  • Hjelkrem Tan, Martine; Ramírez Rivera, Adín & Thomas, Sarina (2023). Hierarchical topic discovery in images; probabilistic modelling of visual data. .
  • de Oliveira Souza, Bruno Cesar; Aasan, Marius; Pedrini, Helio & Ramírez Rivera, Adín (2023). SelfGraphVQA: A Self-Supervised Graph Neural Network for Scene-based Question Answering.
  • Thalles, Silva & Ramírez Rivera, Adín (2023). Representation Learning via Consistent Assignment of Views over Random Partitions.
  • Ramírez Rivera, Adín (2023). Transformers: A tutorial .
  • de Oliveira Souza, Bruno Cesar; Aasan, Marius; Pedrini, Helio & Ramírez Rivera, Adín (2023). SelfGraphVQA: A Self-Supervised Graph Neural Network for Scene-based Question Answering .
  • Silva, Thalles; Pedrini, Helio & Ramírez Rivera, Adín (2023). Self-supervised Learning of Contextualized Local Visual Embeddings.
  • Sinii, Viacheslav; Ramírez Rivera, Adín & Khan, Adil (2023). Understanding the Effectiveness of Cross-Domain Contrastive Unsupervised Domain Adaptation .
  • Sabbagh, Kamil; Kenfack, Patrik Joslin; Ramírez Rivera, Adín & Khan, Adil (2023). RepFair-GAN: Mitigating Representation Bias in GANs Using Gradient Clipping.
  • Ramírez Rivera, Adín (2023). Self-Supervised Learning through Clustering.
  • Kenfack, Patrik; Ramírez Rivera, Adín; Khan, Adil & Mazzara, Manuel (2023). Learning Fair Representations through Uniformly Distributed Sensitive Attributes.
  • Aasan, Marius; Ramírez Rivera, Adín; Kolbjørnsen, Odd & Solberg, Anne H Schistad (2022). An Information Metric for Partitions on Images using Lattice Theoretic Entropy.
  • 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.

Se alle arbeider i Cristin

Publisert 7. jan. 2022 13:57 - Sist endret 11. feb. 2022 15:38