46 citations · 89 across the 8 of their papers we have counts for
9 papers
DB-KAUNet: An Adaptive Dual Branch Kolmogorov-Arnold UNet for Retinal Vessel Segmentation
Hongyu Xu, Panpan Meng, Meng Wang +3
Accurate segmentation of retinal vessels is crucial for the clinical diagnosis of numerous ophthalmic and systemic diseases. However, traditional Convolutional Neural Network (CNN)…
RoomDreamer: Text-Driven 3D Indoor Scene Synthesis with Coherent Geometry and Texture
Liangchen Song, Liangliang Cao, Hongyu Xu +4
The techniques for 3D indoor scene capturing are widely used, but the meshes produced leave much to be desired. In this paper, we propose "RoomDreamer", which leverages powerful na…
Delving into Robust Object Detection from Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach
Zhenyu Wu, Karthik Suresh, Priya Narayanan +3
Object detection from images captured by Unmanned Aerial Vehicles (UAVs) is becoming increasingly useful. Despite the great success of the generic object detection methods trained…
Deep Regionlets: Blended Representation and Deep Learning for Generic Object Detection
Hongyu Xu, Xutao Lv, Xiaoyu Wang +3
In this paper, we propose a novel object detection algorithm named "Deep Regionlets" by integrating deep neural networks and a conventional detection schema for accurate generic ob…
A Fast and Accurate System for Face Detection, Identification, and Verification
Rajeev Ranjan, Ankan Bansal, Jingxiao Zheng +7
The availability of large annotated datasets and affordable computation power have led to impressive improvements in the performance of CNNs on various object detection and recogni…
Cross-Domain Visual Recognition via Domain Adaptive Dictionary Learning
Hongyu Xu, Jingjing Zheng, Azadeh Alavi +1
In real-world visual recognition problems, the assumption that the training data (source domain) and test data (target domain) are sampled from the same distribution is often viola…
Crystal Loss and Quality Pooling for Unconstrained Face Verification and Recognition
Rajeev Ranjan, Ankan Bansal, Hongyu Xu +4
In recent years, the performance of face verification and recognition systems based on deep convolutional neural networks (DCNNs) has significantly improved. A typical pipeline for…
Deep Regionlets for Object Detection
Hongyu Xu, Xutao Lv, Xiaoyu Wang +3
In this paper, we propose a novel object detection framework named "Deep Regionlets" by establishing a bridge between deep neural networks and conventional detection schema for acc…
Deep Heterogeneous Feature Fusion for Template-Based Face Recognition
Navaneeth Bodla, Jingxiao Zheng, Hongyu Xu +3
Although deep learning has yielded impressive performance for face recognition, many studies have shown that different networks learn different feature maps: while some networks ar…