Adín Ramírez Rivera

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 34

Top Topics

Facial Expression Recognition

Semantic Segmentation

Background Modeling

Top Venues

ICCV (Workshops)

Tiny Papers @ ICLR

Publications

Thalles Santos Silva, Hélio Pedrini, Adín Ramírez Rivera
Learning from Memory: Non-Parametric Memory Augmented Self-Supervised Learning of Visual Features. CoRR (2024)
Bruno Souza, Marius Aasan, Hélio Pedrini, Adín Ramírez Rivera
SelfGraphVQA: A Self-Supervised Graph Neural Network for Scene-based Question Answering. CoRR (2023)
Thalles Santos Silva, Hélio Pedrini, Adín Ramírez Rivera
Self-supervised Learning of Contextualized Local Visual Embeddings. CoRR (2023)
Thalles Silva, Hélio Pedrini, Adín Ramírez Rivera
Self-supervised Learning of Contextualized Local Visual Embeddings. ICCV (Workshops) (2023)
Bruno Souza, Marius Aasan, Hélio Pedrini, Adín Ramírez Rivera
SelfGraphVQA: A Self-Supervised Graph Neural Network for Scene-based Question Answering. ICCV (Workshops) (2023)
Viacheslav Sinii, Adín Ramírez Rivera, Adil Khan
Understanding the Effectiveness of Cross-Domain Contrastive Unsupervised Domain Adaptation. Tiny Papers @ ICLR (2023)
Kamil Sabbagh, Patrik Joslin Kenfack, Adín Ramírez Rivera, Adil Khan
RepFair-GAN: Mitigating Representation Bias in GANs Using Gradient Clipping. Tiny Papers @ ICLR (2023)
Thalles Silva, Adín Ramírez Rivera
Representation Learning via Consistent Assignment of Views over Random Partitions. CoRR (2023)
Patrik Joslin Kenfack, Adín Ramírez Rivera, Adil Mehmood Khan, Manuel Mazzara
Learning Fair Representations through Uniformly Distributed Sensitive Attributes. SaTML (2023)
Thalles Santos Silva, Adín Ramírez Rivera
Representation Learning via Consistent Assignment of Views over Random Partitions. NeurIPS (2023)
Adín Ramírez Rivera, Adil Khan, Imad Eddine Ibrahim Bekkouch, Taimoor Shakeel Sheikh
Anomaly Detection Based on Zero-Shot Outlier Synthesis and Hierarchical Feature Distillation. IEEE Trans. Neural Networks Learn. Syst. 33 (1) (2022)
Md. Tauhid Bin Iqbal, Byungyong Ryu, Adín Ramírez Rivera, Farkhod Makhmudkhujaev, Oksam Chae, Sung-Ho Bae
Facial Expression Recognition with Active Local Shape Pattern and Learned-Size Block Representations. IEEE Trans. Affect. Comput. 13 (3) (2022)
Darwin Saire, Adín Ramírez Rivera
Global and Local Features Through Gaussian Mixture Models on Image Semantic Segmentation. IEEE Access 10 (2022)
Thalles Silva, Adín Ramírez Rivera
Representation learning via consistent assignment of views to clusters. SAC (2022)
Darwin Saire, Adín Ramírez Rivera
Global and Local Features through Gaussian Mixture Models on Image Semantic Segmentation. CoRR (2022)
Patrik Joslin Kenfack, Kamil Sabbagh, Adín Ramírez Rivera, Adil Khan
RepFair-GAN: Mitigating Representation Bias in GANs Using Gradient Clipping. CoRR (2022)
Juan Felipe Hernández Albarracín, Adín Ramírez Rivera
Video Reenactment as Inductive Bias for Content-Motion Disentanglement. IEEE Trans. Image Process. 31 (2022)
Sandra Robles, Jonathan S. Gómez, Adín Ramírez Rivera, Nelson D. Padilla, Diego Dujovne
A deep learning approach to halo merger tree construction. CoRR (2022)
Miguel Rodríguez Santander, Juan Felipe Hernández Albarracín, Adín Ramírez Rivera
On the Pitfalls of Learning with Limited Data: A Facial Expression Recognition Case Study. CoRR (2021)
Miguel Rodríguez Santander, Juan Felipe Hernández Albarracín, Adín Ramírez Rivera
On the pitfalls of learning with limited data: A facial expression recognition case study. Expert Syst. Appl. 183 (2021)
Juan Felipe Hernández Albarracín, Adín Ramírez Rivera
Video Reenactment as Inductive Bias for Content-Motion Disentanglement. CoRR (2021)
Thalles Silva, Adín Ramírez Rivera
Representation Learning via Consistent Assignment of Views to Clusters. CoRR (2021)
Darwin Saire, Adín Ramírez Rivera
Empirical Study of Multi-Task Hourglass Model for Semantic Segmentation Task. IEEE Access 9 (2021)
Albina Khusainova, Adil Khan, Adín Ramírez Rivera, Vitaly Romanov
Hierarchical Transformer for Multilingual Machine Translation. CoRR (2021)
Darwin Saire, Adín Ramírez Rivera
Empirical Study of Multi-Task Hourglass Model for Semantic Segmentation Task. CoRR (2021)
Albina Khusainova, Adil Khan, Adín Ramírez Rivera, Vitaly Romanov
Hierarchical Transformer for Multilingual Machine Translation. VarDial@EACL (2021)
Adín Ramírez Rivera, Adil Khan, Imad Eddine Ibrahim Bekkouch, Taimoor Shakeel Sheikh
Anomaly Detection based on Zero-Shot Outlier Synthesis and Hierarchical Feature Distillation. CoRR (2020)
Giannis Nikolentzos, Michalis Thomas, Adín Ramírez Rivera, Michalis Vazirgiannis
Image Classification Using Graph-Based Representations and Graph Neural Networks. COMPLEX NETWORKS (2) (2020)
Albina Khusainova, Adil Khan, Adín Ramírez Rivera
SART - Similarity, Analogies, and Relatedness for Tatar Language: New Benchmark Datasets for Word Embeddings Evaluation. CoRR (2019)
Sandra Robles, Jonathan S. Gómez, Adín Ramírez Rivera, Jenny A. González, Nelson D. Padilla, Diego Dujovne
A Halo Merger Tree Generation and Evaluation Framework. CoRR (2019)
Darwin Ttito Concha, Rodolfo Quispe, Adín Ramírez Rivera, Hélio Pedrini
Where are the People? A Multi-Stream Convolutional Neural Network for Crowd Counting via Density Map from Complex Images. IWSSIP (2019)
Albina Khusainova, Adil Khan, Adín Ramírez Rivera
SART - Similarity, Analogies, and Relatedness for Tatar Language: New Benchmark Datasets for Word Embeddings Evaluation. CICLing (1) (2019)
Darwin Saire Pilco, Adín Ramírez Rivera
Graph Learning Network: A Structure Learning Algorithm. CoRR (2019)
Byeongwoo Kim, Adín Ramírez Rivera, Oksam Chae, Jaemyun Kim
Background Modeling Through Spatiotemporal Edge Feature and Color. ISVC (2) (2019)