14 citations · 21 across the 5 of their papers we have counts for
4 papers · 1 filter
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…
Anomaly Detection based on Zero-Shot Outlier Synthesis and Hierarchical Feature Distillation
Adín Ramírez Rivera, Adil Khan, Imad E. I. Bekkouch +1
Anomaly detection suffers from unbalanced data since anomalies are quite rare. Synthetically generated anomalies are a solution to such ill or not fully defined data. However, synt…
Multi-Stream Networks and Ground-Truth Generation for Crowd Counting
Rodolfo Quispe, Darwin Ttito, Adín Ramírez Rivera +1
Crowd scene analysis has received a lot of attention recently due to the wide variety of applications, for instance, forensic science, urban planning, surveillance and security. In…