output
20172023
most citedSR-GNN: Spatial Relation-aware Graph Neural Network for Fine-Grained Image Categorization

113 citations

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7 papers · 1 filter

cs.CV2022113 cited

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…

cs.CV202149 cited

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…

cs.CV20218 cited

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…

cs.CV20211 cited

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…

cs.CV202117 cited

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…

cs.CV202035 cited

FFD: Fast Feature Detector

Morteza Ghahremani, Yonghuai Liu, Bernard Tiddeman

Scale-invariance, good localization and robustness to noise and distortions are the main properties that a local feature detector should possess. Most existing local feature detect…