51 citations · 148 across the 15 of their papers we have counts for
15 papers
PF3Det: A Prompted Foundation Feature Assisted Visual LiDAR 3D Detector
Kaidong Li, Tianxiao Zhang, Kuan-Chuan Peng +1
3D object detection is crucial for autonomous driving, leveraging both LiDAR point clouds for precise depth information and camera images for rich semantic information. Therefore,…
Robust 3D Point Clouds Classification based on Declarative Defenders
Kaidong Li, Tianxiao Zhang, Cuncong Zhong +2
3D point cloud classification requires distinct models from 2D image classification due to the divergent characteristics of the respective input data. While 3D point clouds are uns…
Beyond Isolated Heads: Multi-Overlapped-Head Self-Attention for Vision Transformers
Tianxiao Zhang, Bo Luo, Guanghui Wang
Multi-Head Self-Attention (MHSA) is the cornerstone of Vision Transformers, allowing models to capture diverse feature representations by projecting tokens into independent subspac…
Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small Datasets
Tianxiao Zhang, Wenju Xu, Bo Luo +1
The Vision Transformer (ViT) leverages the Transformer's encoder to capture global information by dividing images into patches and achieves superior performance across various comp…
A New Dataset and Comparative Study for Aphid Cluster Detection and Segmentation in Sorghum Fields
Raiyan Rahman, Christopher Indris, Goetz Bramesfeld +8
Aphid infestations are one of the primary causes of extensive damage to wheat and sorghum fields and are one of the most common vectors for plant viruses, resulting in significant…
Aphid Cluster Recognition and Detection in the Wild Using Deep Learning Models
Tianxiao Zhang, Kaidong Li, Xiangyu Chen +7
Aphid infestation poses a significant threat to crop production, rural communities, and global food security. While chemical pest control is crucial for maximizing yields, applying…
On the Real-Time Semantic Segmentation of Aphid Clusters in the Wild
Raiyan Rahman, Christopher Indris, Tianxiao Zhang +5
Aphid infestations can cause extensive damage to wheat and sorghum fields and spread plant viruses, resulting in significant yield losses in agriculture. To address this issue, far…
A New Dataset and Comparative Study for Aphid Cluster Detection
Tianxiao Zhang, Kaidong Li, Xiangyu Chen +7
Aphids are one of the main threats to crops, rural families, and global food security. Chemical pest control is a necessary component of crop production for maximizing yields, howe…
Gender, Smoking History and Age Prediction from Laryngeal Images
Tianxiao Zhang, Andrés M. Bur, Shannon Kraft +5
Flexible laryngoscopy is commonly performed by otolaryngologists to detect laryngeal diseases and to recognize potentially malignant lesions. Recently, researchers have introduced…
Dynamic Label Assignment for Object Detection by Combining Predicted IoUs and Anchor IoUs
Tianxiao Zhang, Bo Luo, Ajay Sharda +1
Label assignment plays a significant role in modern object detection models. Detection models may yield totally different performances with different label assignment strategies. F…
An Unsupervised Domain Adaptation Model based on Dual-module Adversarial Training
Yiju Yang, Tianxiao Zhang, Guanyu Li +2
In this paper, we propose a dual-module network architecture that employs a domain discriminative feature module to encourage the domain invariant feature module to learn more doma…
Miti-DETR: Object Detection based on Transformers with Mitigatory Self-Attention Convergence
Wenchi Ma, Tianxiao Zhang, Guanghui Wang
Object Detection with Transformers (DETR) and related works reach or even surpass the highly-optimized Faster-RCNN baseline with self-attention network architectures. Inspired by t…
Colonoscopy Polyp Detection and Classification: Dataset Creation and Comparative Evaluations
Kaidong Li, Mohammad I. Fathan, Krushi Patel +6
Colorectal cancer (CRC) is one of the most common types of cancer with a high mortality rate. Colonoscopy is the preferred procedure for CRC screening and has proven to be effectiv…
Six-channel Image Representation for Cross-domain Object Detection
Tianxiao Zhang, Wenchi Ma, Guanghui Wang
Most deep learning models are data-driven and the excellent performance is highly dependent on the abundant and diverse datasets. However, it is very hard to obtain and label the d…
Efficient Golf Ball Detection and Tracking Based on Convolutional Neural Networks and Kalman Filter
Tianxiao Zhang, Xiaohan Zhang, Yiju Yang +2
This paper focuses on the problem of online golf ball detection and tracking from image sequences. An efficient real-time approach is proposed by exploiting convolutional neural ne…