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Found 9 papers, 0 papers with code
Global Self-Attention Networks
Based on the proposed GSA module, we introduce new standalone global attention-based deep networks that use GSA modules instead of convolutions to model pixel interactions.
Boosting Image-based Mutual Gaze Detection using Pseudo 3D Gaze
In this work, we focus on the task of image-based mutual gaze detection, and propose a simple and effective approach to boost the performance by using an auxiliary 3D gaze estimation task during the training phase.
Global Self-Attention Networks for Image Recognition
Based on the proposed GSA module, we introduce new standalone global attention-based deep networks that use GSA modules instead of convolutions to model pixel interactions.
An Automatic System for Unconstrained Video-Based Face Recognition
In this work, we consider challenging scenarios for unconstrained video-based face recognition from multiple-shot videos and surveillance videos with low-quality frames.
Learning from Ambiguously Labeled Face Images
To prevent the majority labels from dominating the result of MCar, we generalize MCar to a weighted MCar (WMCar) that handles label imbalance.
Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks
Over the last five years, methods based on Deep Convolutional Neural Networks (DCNNs) have shown impressive performance improvements for object detection and recognition problems.
Blur-Aware Disparity Estimation From Defocus Stereo Images
We propose a blur-aware disparity estimation method that is robust to the mismatch of focus in stereo images.
Domain-invariant Face Recognition using Learned Low-rank Transformation
We present a low-rank transformation approach to compensate for face variations due to changes in visual domains, such as pose and illumination.
