3 citations · 8 across the 4 of their papers we have counts for
10 papers · 1 filter
FairFace Challenge at ECCV 2020: Analyzing Bias in Face Recognition
Tomáš Sixta, Julio C. S. Jacques Junior, Pau Buch-Cardona +3
This work summarizes the 2020 ChaLearn Looking at People Fair Face Recognition and Analysis Challenge and provides a description of the top-winning solutions and analysis of the re…
Filtering Point Targets via Online Learning of Motion Models
Mehryar Emambakhsh, Alessandro Bay, Eduard Vazquez
Filtering point targets in highly cluttered and noisy data frames can be very challenging, especially for complex target motions. Fixed motion models can fail to provide accurate p…
Real-time tracker with fast recovery from target loss
Alessandro Bay, Panagiotis Sidiropoulos, Eduard Vazquez +1
In this paper, we introduce a variation of a state-of-the-art real-time tracker (CFNet), which adds to the original algorithm robustness to target loss without a significant comput…
Instance Retrieval at Fine-grained Level Using Multi-Attribute Recognition
Roshanak Zakizadeh, Yu Qian, Michele Sasdelli +1
In this paper, we present a method for instance ranking and retrieval at fine-grained level based on the global features extracted from a multi-attribute recognition model which is…
Convolutional Recurrent Predictor: Implicit Representation for Multi-target Filtering and Tracking
Mehryar Emambakhsh, Alessandro Bay, Eduard Vazquez
Defining a multi-target motion model, which is an important step of tracking algorithms, can be very challenging. Using fixed models (as in several generative Bayesian algorithms,…
Improving the Annotation of DeepFashion Images for Fine-grained Attribute Recognition
Roshanak Zakizadeh, Michele Sasdelli, Yu Qian +1
DeepFashion is a widely used clothing dataset with 50 categories and more than overall 200k images where each image is annotated with fine-grained attributes. This dataset is often…