113 citations
- Aberystwyth UniversityGB2 papers
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- Birla Institute of Technology and Science, PilaniIN1 paper
- Chinese Academy of SciencesCN1 paper
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- Institute of High Performance ComputingSG1 paper
- Jadavpur UniversityIN1 paper
- Ningbo Institute of Industrial TechnologyCN1 paper
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7 papers · 1 filter
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…
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…
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…
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…
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…