43 citations · 95 across the 15 of their papers we have counts for
5 papers · 1 filter
Representation Learning via Consistent Assignment of Views to Clusters
Thalles Silva, Adín Ramírez Rivera
We introduce Consistent Assignment for Representation Learning (CARL), an unsupervised learning method to learn visual representations by combining ideas from self-supervised contr…
Empirical Study of Multi-Task Hourglass Model for Semantic Segmentation Task
Darwin Saire, Adín Ramírez Rivera
The semantic segmentation (SS) task aims to create a dense classification by labeling at the pixel level each object present on images. Convolutional neural network (CNN) approache…
On the Pitfalls of Learning with Limited Data: A Facial Expression Recognition Case Study
Miguel Rodríguez Santander, Juan Hernández Albarracín, Adín Ramírez Rivera
Deep learning models need large amounts of data for training. In video recognition and classification, significant advances were achieved with the introduction of new large databas…
Hierarchical Transformer for Multilingual Machine Translation
Albina Khusainova, Adil Khan, Adín Ramírez Rivera +1
The choice of parameter sharing strategy in multilingual machine translation models determines how optimally parameter space is used and hence, directly influences ultimate transla…
Video Reenactment as Inductive Bias for Content-Motion Disentanglement
Juan F. Hernández Albarracín, Adín Ramírez Rivera
Independent components within low-dimensional representations are essential inputs in several downstream tasks, and provide explanations over the observed data. Video-based disenta…