Adín Ramírez Rivera

70 papers A* 4B 10C 2Misc 1Journal 37Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Concepts' Information Bottleneck Models.
CoRR
Karim Galliamov, Syed M. Ahsan Kazmi, Adil Khan, Adín Ramírez Rivera
2026 J jnl
SPoT: Subpixel Placement of Tokens in Vision Transformers.
Trans. Mach. Learn. Res.
Martine Hjelkrem-Tan, Marius Aasan, Gabriel Y. Arteaga, Adín Ramírez Rivera
2025 J jnl
Differentiable Hierarchical Visual Tokenization.
CoRR
Marius Aasan, Martine Hjelkrem-Tan, Nico Catalano, Changkyu Choi, Adín Ramírez Rivera
2025 — ed.
Northern Lights Deep Learning Conference, The Arctic University, Tromsø, Norway, 7-9 January 2025.
NLDL
Tetiana Lutchyn, Adín Ramírez Rivera, Benjamin Ricaud
2025 — conf
Pixel-Level Predictions with Embedded Lookup Tables.
NAIS
Marius Aasan, Adín Ramírez Rivera
2025 J jnl
SPoT: Subpixel Placement of Tokens in Vision Transformers.
CoRR
Martine Hjelkrem-Tan, Marius Aasan, Gabriel Y. Arteaga, Adín Ramírez Rivera
2025 A* conf
Self-Organizing Visual Prototypes for Non-Parametric Representation Learning.
ICML
Thalles Silva, Hélio Pedrini, Adín Ramírez Rivera
2025 J jnl
Self-Organizing Visual Prototypes for Non-Parametric Representation Learning.
CoRR
Thalles Silva, Hélio Pedrini, Adín Ramírez Rivera
2025 J jnl
Why Prototypes Collapse: Diagnosing and Preventing Partial Collapse in Prototypical Self-Supervised Learning.
CoRR
Gabriel Y. Arteaga, Marius Aasan, Rwiddhi Chakraborty, Martine Hjelkrem-Tan, Thalles Silva, Michael Kampffmeyer, Adín Ramírez Rivera
2024 — conf
A Spitting Image: Modular Superpixel Tokenization in Vision Transformers.
ECCV Workshops (19)
Marius Aasan, Odd Kolbjørnsen, Anne H. Schistad Solberg, Adín Ramírez Rivera
2024 J jnl
A Spitting Image: Modular Superpixel Tokenization in Vision Transformers.
CoRR
Marius Aasan, Odd Kolbjørnsen, Anne H. Schistad Solberg, Adín Ramírez Rivera
2024 A* conf
Learning from Memory: Non-Parametric Memory Augmented Self-Supervised Learning of Visual Features.
ICML
Thalles Silva, Hélio Pedrini, Adín Ramírez Rivera
2024 J jnl
Learning from Memory: Non-Parametric Memory Augmented Self-Supervised Learning of Visual Features.
CoRR
Thalles Santos Silva, Hélio Pedrini, Adín Ramírez Rivera
2024 J jnl
Mapping the Mind of an Instruction-based Image Editing using SMILE.
CoRR
Zeinab Dehghani, Koorosh Aslansefat, Adil Khan, Adín Ramírez Rivera, Franky George, Muhammad Khalid
2024 — ed.
Northern Lights Deep Learning Conference, NLDL 2024, 9-11 January 2024, UiT The Arctic University, Tromsø, Norway.
NLDL
Tetiana Lutchyn, Adín Ramírez Rivera, Benjamin Ricaud
2023 — conf
Learning Fair Representations through Uniformly Distributed Sensitive Attributes.
SaTML
Patrik Joslin Kenfack, Adín Ramírez Rivera, Adil Mehmood Khan, Manuel Mazzara
2023 — conf
RepFair-GAN: Mitigating Representation Bias in GANs Using Gradient Clipping.
Tiny Papers @ ICLR
Kamil Sabbagh, Patrik Joslin Kenfack, Adín Ramírez Rivera, Adil Khan
2023 A* conf
Representation Learning via Consistent Assignment of Views over Random Partitions.
NeurIPS
Thalles Santos Silva, Adín Ramírez Rivera
2023 J jnl
Representation Learning via Consistent Assignment of Views over Random Partitions.
CoRR
Thalles Silva, Adín Ramírez Rivera
2023 — conf
Self-supervised Learning of Contextualized Local Visual Embeddings.
ICCV (Workshops)
Thalles Silva, Hélio Pedrini, Adín Ramírez Rivera
2023 J jnl
Self-supervised Learning of Contextualized Local Visual Embeddings.
CoRR
Thalles Santos Silva, Hélio Pedrini, Adín Ramírez Rivera
2023 — conf
SelfGraphVQA: A Self-Supervised Graph Neural Network for Scene-based Question Answering.
ICCV (Workshops)
Bruno Souza, Marius Aasan, Hélio Pedrini, Adín Ramírez Rivera
2023 J jnl
SelfGraphVQA: A Self-Supervised Graph Neural Network for Scene-based Question Answering.
CoRR
Bruno Souza, Marius Aasan, Hélio Pedrini, Adín Ramírez Rivera
2023 — conf
Understanding the Effectiveness of Cross-Domain Contrastive Unsupervised Domain Adaptation.
Tiny Papers @ ICLR
Viacheslav Sinii, Adín Ramírez Rivera, Adil Khan
2022 J jnl
A deep learning approach to halo merger tree construction.
CoRR
Sandra Robles, Jonathan S. Gómez, Adín Ramírez Rivera, Nelson D. Padilla, Diego Dujovne
2022 J jnl
Anomaly Detection Based on Zero-Shot Outlier Synthesis and Hierarchical Feature Distillation.
IEEE Trans. Neural Networks Learn. Syst.
Adín Ramírez Rivera, Adil Khan, Imad Eddine Ibrahim Bekkouch, Taimoor Shakeel Sheikh
2022 J jnl
Facial Expression Recognition with Active Local Shape Pattern and Learned-Size Block Representations.
IEEE Trans. Affect. Comput.
Md. Tauhid Bin Iqbal, Byungyong Ryu, Adín Ramírez Rivera, Farkhod Makhmudkhujaev, Oksam Chae, Sung-Ho Bae
2022 J jnl
Global and Local Features Through Gaussian Mixture Models on Image Semantic Segmentation.
IEEE Access
Darwin Saire, Adín Ramírez Rivera
2022 J jnl
Global and Local Features through Gaussian Mixture Models on Image Semantic Segmentation.
CoRR
Darwin Saire, Adín Ramírez Rivera
2022 J jnl
RepFair-GAN: Mitigating Representation Bias in GANs Using Gradient Clipping.
CoRR
Patrik Joslin Kenfack, Kamil Sabbagh, Adín Ramírez Rivera, Adil Khan
2022 Misc conf
Representation learning via consistent assignment of views to clusters.
SAC
Thalles Silva, Adín Ramírez Rivera
2022 J jnl
Video Reenactment as Inductive Bias for Content-Motion Disentanglement.
IEEE Trans. Image Process.
Juan Felipe Hernández Albarracín, Adín Ramírez Rivera
2021 J jnl
Empirical Study of Multi-Task Hourglass Model for Semantic Segmentation Task.
IEEE Access
Darwin Saire, Adín Ramírez Rivera
2021 J jnl
Empirical Study of Multi-Task Hourglass Model for Semantic Segmentation Task.
CoRR
Darwin Saire, Adín Ramírez Rivera
2021 — conf
Hierarchical Transformer for Multilingual Machine Translation.
VarDial@EACL
Albina Khusainova, Adil Khan, Adín Ramírez Rivera, Vitaly Romanov
2021 J jnl
Hierarchical Transformer for Multilingual Machine Translation.
CoRR
Albina Khusainova, Adil Khan, Adín Ramírez Rivera, Vitaly Romanov
2021 J jnl
On the Pitfalls of Learning with Limited Data: A Facial Expression Recognition Case Study.
CoRR
Miguel Rodríguez Santander, Juan Felipe Hernández Albarracín, Adín Ramírez Rivera
2021 J jnl
On the pitfalls of learning with limited data: A facial expression recognition case study.
Expert Syst. Appl.
Miguel Rodríguez Santander, Juan Felipe Hernández Albarracín, Adín Ramírez Rivera
2021 J jnl
Representation Learning via Consistent Assignment of Views to Clusters.
CoRR
Thalles Silva, Adín Ramírez Rivera
2021 J jnl
Video Reenactment as Inductive Bias for Content-Motion Disentanglement.
CoRR
Juan Felipe Hernández Albarracín, Adín Ramírez Rivera
2020 J jnl
Anomaly Detection based on Zero-Shot Outlier Synthesis and Hierarchical Feature Distillation.
CoRR
Adín Ramírez Rivera, Adil Khan, Imad Eddine Ibrahim Bekkouch, Taimoor Shakeel Sheikh
2020 — conf
Image Classification Using Graph-Based Representations and Graph Neural Networks.
COMPLEX NETWORKS (2)
Giannis Nikolentzos, Michalis Thomas, Adín Ramírez Rivera, Michalis Vazirgiannis
2020 J jnl
Multi-Stream Networks and Ground-Truth Generation for Crowd Counting.
CoRR
Rodolfo Quispe, Darwin Ttito Concha, Adín Ramírez Rivera, Hélio Pedrini
2019 J jnl
A Halo Merger Tree Generation and Evaluation Framework.
CoRR
Sandra Robles, Jonathan S. Gómez, Adín Ramírez Rivera, Jenny A. González, Nelson D. Padilla, Diego Dujovne
2019 — conf
Background Modeling Through Spatiotemporal Edge Feature and Color.
ISVC (2)
Byeongwoo Kim, Adín Ramírez Rivera, Oksam Chae, Jaemyun Kim
2019 J jnl
Graph Learning Network: A Structure Learning Algorithm.
CoRR
Darwin Saire Pilco, Adín Ramírez Rivera
2019 — conf
SART - Similarity, Analogies, and Relatedness for Tatar Language: New Benchmark Datasets for Word Embeddings Evaluation.
CICLing (1)
Albina Khusainova, Adil Khan, Adín Ramírez Rivera
2019 J jnl
SART - Similarity, Analogies, and Relatedness for Tatar Language: New Benchmark Datasets for Word Embeddings Evaluation.
CoRR
Albina Khusainova, Adil Khan, Adín Ramírez Rivera
2019 — conf
Where are the People? A Multi-Stream Convolutional Neural Network for Crowd Counting via Density Map from Complex Images.
IWSSIP
Darwin Ttito Concha, Rodolfo Quispe, Adín Ramírez Rivera, Hélio Pedrini
2018 B conf
Improving Human Action Recognition through Hierarchical Neural Network Classifiers.
IJCNN
Pavel Zhdanov, Adil Khan, Adín Ramírez Rivera, Asad Masood Khattak
2017 B conf
Background modeling using adaptive properties of hybrid features.
AVSS
Jaemyun Kim, Adín Ramírez Rivera, Byeongwoo Kim, Kaushik Roy, Oksam Chae
2017 C conf
Deep learning models for bone suppression in chest radiographs.
CIBCB
Maxim Gusarev, Ramil Kuleev, Adil Khan, Adín Ramírez Rivera, Asad Masood Khattak
2017 C conf
Large residual multiple view 3D CNN for false positive reduction in pulmonary nodule detection.
CIBCB
Anton Dobrenkii, Ramil Kuleev, Adil Khan, Adín Ramírez Rivera, Asad Masood Khattak
2017 — conf
Learning to Cluster with Auxiliary Tasks: A Semi-Supervised Approach.
SIBGRAPI
Jhosimar Arias Figueroa, Adín Ramírez Rivera
2017 J jnl
Local Directional Ternary Pattern for Facial Expression Recognition.
IEEE Trans. Image Process.
Byungyong Ryu, Adín Ramírez Rivera, Jaemyun Kim, Oksam Chae
2016 B conf
Edge shape pattern for background modeling based on hybrid local codes.
AVSS
Seokjin Hong, Jaemyun Kim, Adín Ramírez Rivera, Gihun Song, Oksam Chae
2015 J jnl
Local Directional Texture Pattern image descriptor.
Pattern Recognit. Lett.
Adín Ramírez Rivera, Jorge A. Rojas Castillo, Oksam Chae
2015 A* conf
Simultaneous Foreground Detection and Classification with Hybrid Features.
ICCV
Jaemyun Kim, Adín Ramírez Rivera, Byungyong Ryu, Oksam Chae
2015 J jnl
Spatiotemporal Directional Number Transitional Graph for Dynamic Texture Recognition.
IEEE Trans. Pattern Anal. Mach. Intell.
Adín Ramírez Rivera, Oksam Chae
2014 B conf
Unattended object detection based on edge-segment distributions.
AVSS
Jaemyun Kim, Adín Ramírez Rivera, Byungyong Ryu, Kiok Ahn, Oksam Chae
2013 J jnl
Background Modeling Through Statistical Edge-Segment Distributions.
IEEE Trans. Circuits Syst. Video Technol.
Adín Ramírez Rivera, Mahbub Murshed, Jaemyun Kim, Oksam Chae
2013 B conf
Edge-segment-based Background Modeling: Non-parametric online background update.
AVSS
Jaemyun Kim, Adín Ramírez Rivera, Gihun Song, Byungyong Ryu, Oksam Chae
2013 J jnl
Local Directional Number Pattern for Face Analysis: Face and Expression Recognition.
IEEE Trans. Image Process.
Adín Ramírez Rivera, Jorge A. Rojas Castillo, Oksam Chae
2012 J jnl
Content-Aware Dark Image Enhancement Through Channel Division.
IEEE Trans. Image Process.
Adín Ramírez Rivera, Byungyong Ryu, Oksam Chae
2012 B conf
Facial expression recognition based on Local Sign Directional Pattern.
ICIP
Jorge A. Rojas Castillo, Adín Ramírez Rivera, Oksam Chae
2012 B conf
Local Gaussian Directional Pattern for face recognition.
ICPR
Adín Ramírez Rivera, Jorge A. Rojas Castillo, Oksam Chae
2012 B conf
Recognition of face expressions using Local Principal Texture Pattern.
ICIP
Adín Ramírez Rivera, Jorge A. Rojas Castillo, Oksam Chae
2011 — conf
Moving Edge Segment Matching for the Detection of Moving Object.
ICIAR (1)
Mahbub Murshed, Adín Ramírez Rivera, Oksam Chae
2011 B conf
Object detection through edge behavior modeling.
AVSS
Adín Ramírez Rivera, Mahbub Murshed, Oksam Chae
2010 B conf
Statistical Background Modeling: An Edge Segment Based Moving Object Detection Approach.
AVSS
Mahbub Murshed, Adín Ramírez Rivera, Oksam Chae