49 citations · 58 across the 3 of their papers we have counts for
4 papers
Attend and Guide (AG-Net): A Keypoints-driven Attention-based Deep Network for Image Recognition
Asish Bera, Zachary Wharton, Yonghuai Liu +2
This paper presents a novel keypoints-based attention mechanism for visual recognition in still images. Deep Convolutional Neural Networks (CNNs) for recognizing images with distin…
An attention-driven hierarchical multi-scale representation for visual recognition
Zachary Wharton, Ardhendu Behera, Asish Bera
Convolutional Neural Networks (CNNs) have revolutionized the understanding of visual content. This is mainly due to their ability to break down an image into smaller pieces, extrac…
Spoofing Detection on Hand Images Using Quality Assessment
Asish Bera, Ratnadeep Dey, Debotosh Bhattacharjee +2
Recent research on biometrics focuses on achieving a high success rate of authentication and addressing the concern of various spoofing attacks. Although hand geometry recognition…
Context-aware Attentional Pooling (CAP) for Fine-grained Visual Classification
Ardhendu Behera, Zachary Wharton, Pradeep Hewage +1
Deep convolutional neural networks (CNNs) have shown a strong ability in mining discriminative object pose and parts information for image recognition. For fine-grained recognition…