113 citations · 234 across the 8 of their papers we have counts for
8 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…
Retinal Structure Detection in OCTA Image via Voting-based Multi-task Learning
Jinkui Hao, Ting Shen, Xueli Zhu +7
Automated detection of retinal structures, such as retinal vessels (RV), the foveal avascular zone (FAZ), and retinal vascular junctions (RVJ), are of great importance for understa…
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…
SHREC 2021: Retrieval and classification of protein surfaces equipped with physical and chemical properties
Andrea Raffo, Ulderico Fugacci, Silvia Biasotti +21
This paper presents the methods that have participated in the SHREC 2021 contest on retrieval and classification of protein surfaces on the basis of their geometry and physicochemi…
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…
Orderly Disorder in Point Cloud Domain
Morteza Ghahremani, Bernard Tiddeman, Yonghuai Liu +1
In the real world, out-of-distribution samples, noise and distortions exist in test data. Existing deep networks developed for point cloud data analysis are prone to overfitting an…