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ORCIDAdín Ramírez Rivera
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- affiliation: University of Oslo, Department of Informatics, Norway
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2020 – today
- 2024
[c28]Thalles Silva, Hélio Pedrini, Adín Ramírez Rivera:
Learning from Memory: Non-Parametric Memory Augmented Self-Supervised Learning of Visual Features. ICML 2024- [e1]Tetiana Lutchyn, Adín Ramírez Rivera, Benjamin Ricaud:
Northern Lights Deep Learning Conference, NLDL 2024, 9-11 January 2024, UiT The Arctic University, Tromsø, Norway. Proceedings of Machine Learning Research 233, PMLR 2024 [contents] - [i18]Thalles Santos Silva, Hélio Pedrini, Adín Ramírez Rivera:
Learning from Memory: Non-Parametric Memory Augmented Self-Supervised Learning of Visual Features. CoRR abs/2407.17486 (2024) - [i17]Marius Aasan, Odd Kolbjørnsen, Anne H. Schistad Solberg, Adín Ramírez Rivera:
A Spitting Image: Modular Superpixel Tokenization in Vision Transformers. CoRR abs/2408.07680 (2024) - 2023
- [c27]Thalles Silva, Hélio Pedrini, Adín Ramírez Rivera:
Self-supervised Learning of Contextualized Local Visual Embeddings. ICCV (Workshops) 2023: 177-186 - [c26]Bruno Souza, Marius Aasan, Hélio Pedrini, Adín Ramírez Rivera:
SelfGraphVQA: A Self-Supervised Graph Neural Network for Scene-based Question Answering. ICCV (Workshops) 2023: 4642-4647 - [c25]Kamil Sabbagh, Patrik Joslin Kenfack, Adín Ramírez Rivera, Adil Khan:
RepFair-GAN: Mitigating Representation Bias in GANs Using Gradient Clipping. Tiny Papers @ ICLR 2023 - [c24]Viacheslav Sinii, Adín Ramírez Rivera, Adil Khan:
Understanding the Effectiveness of Cross-Domain Contrastive Unsupervised Domain Adaptation. Tiny Papers @ ICLR 2023 - [c23]Thalles Santos Silva, Adín Ramírez Rivera:
Representation Learning via Consistent Assignment of Views over Random Partitions. NeurIPS 2023 - [c22]Patrik Joslin Kenfack, Adín Ramírez Rivera, Adil Mehmood Khan, Manuel Mazzara:
Learning Fair Representations through Uniformly Distributed Sensitive Attributes. SaTML 2023: 58-67 - [i16]Thalles Santos Silva, Hélio Pedrini, Adín Ramírez Rivera:
Self-supervised Learning of Contextualized Local Visual Embeddings. CoRR abs/2310.00527 (2023) - [i15]Bruno Souza, Marius Aasan, Hélio Pedrini, Adín Ramírez Rivera:
SelfGraphVQA: A Self-Supervised Graph Neural Network for Scene-based Question Answering. CoRR abs/2310.01842 (2023) - [i14]Thalles Silva, Adín Ramírez Rivera:
Representation Learning via Consistent Assignment of Views over Random Partitions. CoRR abs/2310.12692 (2023) - 2022
- [j12]Darwin Saire
, Adín Ramírez Rivera:
Global and Local Features Through Gaussian Mixture Models on Image Semantic Segmentation. IEEE Access 10: 77323-77336 (2022) - [j11]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): 1322-1336 (2022) - [j10]Juan Felipe Hernández Albarracín, Adín Ramírez Rivera:
Video Reenactment as Inductive Bias for Content-Motion Disentanglement. IEEE Trans. Image Process. 31: 2365-2374 (2022) - [j9]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): 281-291 (2022) - [c21]Thalles Silva, Adín Ramírez Rivera:
Representation learning via consistent assignment of views to clusters. SAC 2022: 987-994 - [i13]Sandra Robles, Jonathan S. Gómez, Adín Ramírez Rivera, Nelson D. Padilla, Diego Dujovne:
A deep learning approach to halo merger tree construction. CoRR abs/2205.15988 (2022) - [i12]Darwin Saire, Adín Ramírez Rivera:
Global and Local Features through Gaussian Mixture Models on Image Semantic Segmentation. CoRR abs/2207.09162 (2022) - [i11]Patrik Joslin Kenfack, Kamil Sabbagh, Adín Ramírez Rivera, Adil Khan:
RepFair-GAN: Mitigating Representation Bias in GANs Using Gradient Clipping. CoRR abs/2207.10653 (2022) - 2021
- [j8]Darwin Saire, Adín Ramírez Rivera:
Empirical Study of Multi-Task Hourglass Model for Semantic Segmentation Task. IEEE Access 9: 80654-80670 (2021) - [j7]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: 114991 (2021) - [c20]Albina Khusainova, Adil Khan, Adín Ramírez Rivera, Vitaly Romanov:
Hierarchical Transformer for Multilingual Machine Translation. VarDial@EACL 2021: 12-20 - [i10]Juan Felipe Hernández Albarracín, Adín Ramírez Rivera:
Video Reenactment as Inductive Bias for Content-Motion Disentanglement. CoRR abs/2102.00324 (2021) - [i9]Albina Khusainova, Adil Khan, Adín Ramírez Rivera, Vitaly Romanov:
Hierarchical Transformer for Multilingual Machine Translation. CoRR abs/2103.03589 (2021) - [i8]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 abs/2104.02653 (2021) - [i7]Darwin Saire, Adín Ramírez Rivera:
Empirical Study of Multi-Task Hourglass Model for Semantic Segmentation Task. CoRR abs/2105.13531 (2021) - [i6]Thalles Silva, Adín Ramírez Rivera:
Representation Learning via Consistent Assignment of Views to Clusters. CoRR abs/2112.15421 (2021) - 2020
- [c19]Giannis Nikolentzos, Michalis Thomas, Adín Ramírez Rivera, Michalis Vazirgiannis:
Image Classification Using Graph-Based Representations and Graph Neural Networks. COMPLEX NETWORKS (2) 2020: 142-153 - [i5]Rodolfo Quispe, Darwin Ttito Concha, Adín Ramírez Rivera, Hélio Pedrini:
Multi-Stream Networks and Ground-Truth Generation for Crowd Counting. CoRR abs/2002.09951 (2020) - [i4]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 abs/2010.05119 (2020)
2010 – 2019
- 2019
- [c18]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: 380-390 - [c17]Byeongwoo Kim, Adín Ramírez Rivera, Oksam Chae, Jaemyun Kim:
Background Modeling Through Spatiotemporal Edge Feature and Color. ISVC (2) 2019: 196-208 - [c16]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: 241-246 - [i3]Albina Khusainova, Adil Khan, Adín Ramírez Rivera:
SART - Similarity, Analogies, and Relatedness for Tatar Language: New Benchmark Datasets for Word Embeddings Evaluation. CoRR abs/1904.00365 (2019) - [i2]Darwin Saire Pilco, Adín Ramírez Rivera:
Graph Learning Network: A Structure Learning Algorithm. CoRR abs/1905.12665 (2019) - [i1]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 abs/1906.09382 (2019) - 2018
- [c15]Pavel Zhdanov, Adil Khan, Adín Ramírez Rivera, Asad Masood Khattak:
Improving Human Action Recognition through Hierarchical Neural Network Classifiers. IJCNN 2018: 1-7 - 2017
- [j6]Byungyong Ryu, Adín Ramírez Rivera, Jaemyun Kim, Oksam Chae:
Local Directional Ternary Pattern for Facial Expression Recognition. IEEE Trans. Image Process. 26(12): 6006-6018 (2017) - [c14]Jaemyun Kim, Adín Ramírez Rivera, Byeongwoo Kim, Kaushik Roy, Oksam Chae:
Background modeling using adaptive properties of hybrid features. AVSS 2017: 1-6 - [c13]Anton Dobrenkii, Ramil Kuleev, Adil Khan, Adín Ramírez Rivera, Asad Masood Khattak:
Large residual multiple view 3D CNN for false positive reduction in pulmonary nodule detection. CIBCB 2017: 1-6 - [c12]Maxim Gusarev, Ramil Kuleev, Adil Khan, Adín Ramírez Rivera, Asad Masood Khattak:
Deep learning models for bone suppression in chest radiographs. CIBCB 2017: 1-7 - [c11]Jhosimar Arias Figueroa, Adín Ramírez Rivera:
Learning to Cluster with Auxiliary Tasks: A Semi-Supervised Approach. SIBGRAPI 2017: 141-148 - 2016
- [c10]Seokjin Hong, Jaemyun Kim, Adín Ramírez Rivera, Gihun Song, Oksam Chae:
Edge shape pattern for background modeling based on hybrid local codes. AVSS 2016: 1-7 - 2015
- [j5]Adín Ramírez Rivera, Oksam Chae:
Spatiotemporal Directional Number Transitional Graph for Dynamic Texture Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 37(10): 2146-2152 (2015) - [j4]Adín Ramírez Rivera, Jorge A. Rojas Castillo, Oksam Chae:
Local Directional Texture Pattern image descriptor. Pattern Recognit. Lett. 51: 94-100 (2015) - [c9]Jaemyun Kim, Adín Ramírez Rivera, Byungyong Ryu, Oksam Chae:
Simultaneous Foreground Detection and Classification with Hybrid Features. ICCV 2015: 3307-3315 - 2014
- [c8]Jaemyun Kim, Adín Ramírez Rivera, Byungyong Ryu, Kiok Ahn, Oksam Chae:
Unattended object detection based on edge-segment distributions. AVSS 2014: 283-288 - 2013
- [j3]Adín Ramírez Rivera, Mahbub Murshed, Jaemyun Kim, Oksam Chae:
Background Modeling Through Statistical Edge-Segment Distributions. IEEE Trans. Circuits Syst. Video Technol. 23(8): 1375-1387 (2013) - [j2]Adín Ramírez Rivera, Jorge A. Rojas Castillo, Oksam Chae:
Local Directional Number Pattern for Face Analysis: Face and Expression Recognition. IEEE Trans. Image Process. 22(5): 1740-1752 (2013) - [c7]Jaemyun Kim, Adín Ramírez Rivera, Gihun Song, Byungyong Ryu, Oksam Chae:
Edge-segment-based Background Modeling: Non-parametric online background update. AVSS 2013: 214-219 - 2012
- [j1]Adín Ramírez Rivera, Byungyong Ryu, Oksam Chae:
Content-Aware Dark Image Enhancement Through Channel Division. IEEE Trans. Image Process. 21(9): 3967-3980 (2012) - [c6]Adín Ramírez Rivera, Jorge A. Rojas Castillo, Oksam Chae:
Recognition of face expressions using Local Principal Texture Pattern. ICIP 2012: 2609-2612 - [c5]Jorge A. Rojas Castillo, Adín Ramírez Rivera, Oksam Chae:
Facial expression recognition based on Local Sign Directional Pattern. ICIP 2012: 2613-2616 - [c4]Adín Ramírez Rivera, Jorge A. Rojas Castillo, Oksam Chae:
Local Gaussian Directional Pattern for face recognition. ICPR 2012: 1000-1003 - 2011
- [c3]Adín Ramírez Rivera, Mahbub Murshed, Oksam Chae:
Object detection through edge behavior modeling. AVSS 2011: 273-278 - [c2]Mahbub Murshed, Adín Ramírez Rivera, Oksam Chae:
Moving Edge Segment Matching for the Detection of Moving Object. ICIAR (1) 2011: 274-283 - 2010
- [c1]Mahbub Murshed, Adín Ramírez Rivera, Oksam Chae:
Statistical Background Modeling: An Edge Segment Based Moving Object Detection Approach. AVSS 2010: 300-306
Coauthor Index
aka: Adil Mehmood Khan
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last updated on 2024-09-25 00:46 CEST by the dblp team
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