113 citations · 181 across the 5 of their papers we have counts for
6 papers
SR-GNN: Spatial Relation-aware Graph Neural Network for Fine-Grained Image Categorization
Asish Bera, Zachary Wharton, Yonghuai Liu +2
Over the past few years, a significant progress has been made in deep convolutional neural networks (CNNs)-based image recognition. This is mainly due to the strong ability of such…
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…
Coarse Temporal Attention Network (CTA-Net) for Driver's Activity Recognition
Zachary Wharton, Ardhendu Behera, Yonghuai Liu +1
There is significant progress in recognizing traditional human activities from videos focusing on highly distinctive actions involving discriminative body movements, body-object an…
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…
Regional Attention Network (RAN) for Head Pose and Fine-grained Gesture Recognition
Ardhendu Behera, Zachary Wharton, Morteza Ghahremani +2
Affect is often expressed via non-verbal body language such as actions/gestures, which are vital indicators for human behaviors. Recent studies on recognition of fine-grained actio…