113 citations · 183 across the 10 of their papers we have counts for
11 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…
Benchmarking Deep Reinforcement Learning Algorithms for Vision-based Robotics
Swagat Kumar, Hayden Sampson, Ardhendu Behera
This paper presents a benchmarking study of some of the state-of-the-art reinforcement learning algorithms used for solving two simulated vision-based robotics problems. The algori…
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…
Unsupervised Monocular Depth Estimation for Night-time Images using Adversarial Domain Feature Adaptation
Madhu Vankadari, Sourav Garg, Anima Majumder +2
In this paper, we look into the problem of estimating per-pixel depth maps from unconstrained RGB monocular night-time images which is a difficult task that has not been addressed…
Attention-Driven Body Pose Encoding for Human Activity Recognition
B Debnath, M O'brien, S Kumar +1
This article proposes a novel attention-based body pose encoding for human activity recognition that presents a enriched representation of body-pose that is learned. The enriched d…
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…