Statistical Background Modeling: An Edge Segment Based Moving Object Detection Approach. - Mahbub Murshed; Adín Ramírez Rivera; Oksam Chae (AVSS, 2010)

Object detection through edge behavior modeling. - Adín Ramírez Rivera; Mahbub Murshed; Oksam Chae (AVSS, 2011)

Moving Edge Segment Matching for the Detection of Moving Object. - Mahbub Murshed; Adín Ramírez Rivera; Oksam Chae (ICIAR (1), 2011)

Facial expression recognition based on Local Sign Directional Pattern. - Jorge A. Rojas Castillo; Adín Ramírez Rivera; Oksam Chae (ICIP, 2012)

Recognition of face expressions using Local Principal Texture Pattern. - Adín Ramírez Rivera; Jorge A. Rojas Castillo; Oksam Chae (ICIP, 2012)

Local Gaussian Directional Pattern for face recognition. - Adín Ramírez Rivera; Jorge A. Rojas Castillo; Oksam Chae (ICPR, 2012)

Content-Aware Dark Image Enhancement Through Channel Division. - Adín Ramírez Rivera; Byungyong Ryu; Oksam Chae (IEEE Trans. Image Process., 2012)

Edge-segment-based Background Modeling: Non-parametric online background update. - Jaemyun Kim; Adín Ramírez Rivera; Gihun Song; Byungyong Ryu; Oksam Chae (AVSS, 2013)

Background Modeling Through Statistical Edge-Segment Distributions. - Adín Ramírez Rivera; Mahbub Murshed; Jaemyun Kim; Oksam Chae (IEEE Trans. Circuits Syst. Video Technol., 2013)

Local Directional Number Pattern for Face Analysis: Face and Expression Recognition. - Adín Ramírez Rivera; Jorge A. Rojas Castillo; Oksam Chae (IEEE Trans. Image Process., 2013)

Unattended object detection based on edge-segment distributions. - Jaemyun Kim; Adín Ramírez Rivera; Byungyong Ryu; Kiok Ahn; Oksam Chae (AVSS, 2014)

Simultaneous Foreground Detection and Classification with Hybrid Features. - Jaemyun Kim; Adín Ramírez Rivera; Byungyong Ryu; Oksam Chae (ICCV, 2015)

Spatiotemporal Directional Number Transitional Graph for Dynamic Texture Recognition. - Adín Ramírez Rivera; Oksam Chae (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Local Directional Texture Pattern image descriptor. - Adín Ramírez Rivera; Jorge A. Rojas Castillo; Oksam Chae (Pattern Recognit. Lett., 2015)

Edge shape pattern for background modeling based on hybrid local codes. - Seokjin Hong; Jaemyun Kim; Adín Ramírez Rivera; Gihun Song; Oksam Chae (AVSS, 2016)

Background modeling using adaptive properties of hybrid features. - Jaemyun Kim; Adín Ramírez Rivera; Byeongwoo Kim; Kaushik Roy 008; Oksam Chae (AVSS, 2017)

Large residual multiple view 3D CNN for false positive reduction in pulmonary nodule detection. - Anton Dobrenkii; Ramil Kuleev; Adil Khan 001; Adín Ramírez Rivera; Asad Masood Khattak (CIBCB, 2017)

Deep learning models for bone suppression in chest radiographs. - Maxim Gusarev; Ramil Kuleev; Adil Khan 001; Adín Ramírez Rivera; Asad Masood Khattak (CIBCB, 2017)

Learning to Cluster with Auxiliary Tasks: A Semi-Supervised Approach. - Jhosimar Arias Figueroa; Adín Ramírez Rivera (SIBGRAPI, 2017)

Local Directional Ternary Pattern for Facial Expression Recognition. - Byungyong Ryu; Adín Ramírez Rivera; Jaemyun Kim; Oksam Chae (IEEE Trans. Image Process., 2017)

Improving Human Action Recognition through Hierarchical Neural Network Classifiers. - Pavel Zhdanov; Adil Khan 001; Adín Ramírez Rivera; Asad Masood Khattak (IJCNN, 2018)

SART - Similarity, Analogies, and Relatedness for Tatar Language: New Benchmark Datasets for Word Embeddings Evaluation. - Albina Khusainova; Adil Khan 001; Adín Ramírez Rivera (CICLing (1), 2019)

Background Modeling Through Spatiotemporal Edge Feature and Color. - Byeongwoo Kim; Adín Ramírez Rivera; Oksam Chae; Jaemyun Kim (ISVC (2), 2019)

Where are the People? A Multi-Stream Convolutional Neural Network for Crowd Counting via Density Map from Complex Images. - Darwin Ttito Concha; Rodolfo Quispe; Adín Ramírez Rivera; Hélio Pedrini (IWSSIP, 2019)

Graph Learning Network: A Structure Learning Algorithm. - Darwin Saire Pilco; Adín Ramírez Rivera (CoRR, 2019)

A Halo Merger Tree Generation and Evaluation Framework. - Sandra Robles; Jonathan S. Gómez; Adín Ramírez Rivera; Jenny A. González; Nelson D. Padilla; Diego Dujovne (CoRR, 2019)

Image Classification Using Graph-Based Representations and Graph Neural Networks. - Giannis Nikolentzos; Michalis Thomas; Adín Ramírez Rivera; Michalis Vazirgiannis (COMPLEX NETWORKS (2), 2020)

Multi-Stream Networks and Ground-Truth Generation for Crowd Counting. - Rodolfo Quispe; Darwin Ttito Concha; Adín Ramírez Rivera; Hélio Pedrini (CoRR, 2020)

Hierarchical Transformer for Multilingual Machine Translation. - Albina Khusainova; Adil Khan 001; Adín Ramírez Rivera; Vitaly Romanov (VarDial@EACL, 2021)

Empirical Study of Multi-Task Hourglass Model for Semantic Segmentation Task. - Darwin Saire; Adín Ramírez Rivera (IEEE Access, 2021)

On the pitfalls of learning with limited data: A facial expression recognition case study. - Miguel Rodríguez Santander; Juan Felipe Hernández Albarracín; Adín Ramírez Rivera (Expert Syst. Appl., 2021)

Representation learning via consistent assignment of views to clusters. - Thalles Silva 001; Adín Ramírez Rivera (SAC, 2022)

Global and Local Features Through Gaussian Mixture Models on Image Semantic Segmentation. - Darwin Saire; Adín Ramírez Rivera (IEEE Access, 2022)

A deep learning approach to halo merger tree construction. - Sandra Robles; Jonathan S. Gómez; Adín Ramírez Rivera; Nelson D. Padilla; Diego Dujovne (CoRR, 2022)

Facial Expression Recognition with Active Local Shape Pattern and Learned-Size Block Representations. - Md. Tauhid Bin Iqbal; Byungyong Ryu; Adín Ramírez Rivera; Farkhod Makhmudkhujaev; Oksam Chae; Sung-Ho Bae (IEEE Trans. Affect. Comput., 2022)

Video Reenactment as Inductive Bias for Content-Motion Disentanglement. - Juan Felipe Hernández Albarracín; Adín Ramírez Rivera (IEEE Trans. Image Process., 2022)

Anomaly Detection Based on Zero-Shot Outlier Synthesis and Hierarchical Feature Distillation. - Adín Ramírez Rivera; Adil Khan 001; Imad Eddine Ibrahim Bekkouch; Taimoor Shakeel Sheikh (IEEE Trans. Neural Networks Learn. Syst., 2022)

Self-supervised Learning of Contextualized Local Visual Embeddings. - Thalles Silva 001; Hélio Pedrini; Adín Ramírez Rivera (ICCV (Workshops), 2023)

SelfGraphVQA: A Self-Supervised Graph Neural Network for Scene-based Question Answering. - Bruno Souza; Marius Aasan; Hélio Pedrini; Adín Ramírez Rivera (ICCV (Workshops), 2023)

RepFair-GAN: Mitigating Representation Bias in GANs Using Gradient Clipping. - Kamil Sabbagh; Patrik Joslin Kenfack; Adín Ramírez Rivera; Adil Khan 001 (Tiny Papers @ ICLR, 2023)

Understanding the Effectiveness of Cross-Domain Contrastive Unsupervised Domain Adaptation. - Viacheslav Sinii; Adín Ramírez Rivera; Adil Khan 001 (Tiny Papers @ ICLR, 2023)

Representation Learning via Consistent Assignment of Views over Random Partitions. - Thalles Santos Silva; Adín Ramírez Rivera (NeurIPS, 2023)

Learning Fair Representations through Uniformly Distributed Sensitive Attributes. - Patrik Joslin Kenfack; Adín Ramírez Rivera; Adil Mehmood Khan; Manuel Mazzara (SaTML, 2023)

A Spitting Image: Modular Superpixel Tokenization in Vision Transformers. - Marius Aasan; Odd Kolbjørnsen; Anne H. Schistad Solberg; Adín Ramírez Rivera (ECCV Workshops (19), 2024)

Learning from Memory: Non-Parametric Memory Augmented Self-Supervised Learning of Visual Features. - Thalles Silva 001; Hélio Pedrini; Adín Ramírez Rivera (ICML, 2024)

Mapping the Mind of an Instruction-based Image Editing using SMILE. - Zeinab Dehghani; Koorosh Aslansefat; Adil Khan 001; Adín Ramírez Rivera; Franky George; Muhammad Khalid (CoRR, 2024)

Pixel-Level Predictions with Embedded Lookup Tables. - Marius Aasan; Adín Ramírez Rivera (NAIS, 2025)

Self-Organizing Visual Prototypes for Non-Parametric Representation Learning. - Thalles Silva 001; Hélio Pedrini; Adín Ramírez Rivera (CoRR, 2025)

SPoT: Subpixel Placement of Tokens in Vision Transformers. - Martine Hjelkrem-Tan; Marius Aasan; Gabriel Y. Arteaga; Adín Ramírez Rivera (CoRR, 2025)