86 citations · 110 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…
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…
Accumulated Trivial Attention Matters in Vision Transformers on Small Datasets
Xiangyu Chen, Qinghao Hu, Kaidong Li +2
Vision Transformers has demonstrated competitive performance on computer vision tasks benefiting from their ability to capture long-range dependencies with multi-head self-attentio…
Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks with Implicit Gradients
Kaidong Li, Ziming Zhang, Cuncong Zhong +1
Deep neural networks for 3D point cloud classification, such as PointNet, have been demonstrated to be vulnerable to adversarial attacks. Current adversarial defenders often learn…
Dilated Continuous Random Field for Semantic Segmentation
Xi Mo, Xiangyu Chen, Cuncong Zhong +3
Mean field approximation methodology has laid the foundation of modern Continuous Random Field (CRF) based solutions for the refinement of semantic segmentation. In this paper, we…
SGNet: A Super-class Guided Network for Image Classification and Object Detection
Kaidong Li, Nina Y. Wang, Yiju Yang +1
Most classification models treat different object classes in parallel and the misclassifications between any two classes are treated equally. In contrast, human beings can exploit…
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…
Why Layer-Wise Learning is Hard to Scale-up and a Possible Solution via Accelerated Downsampling
Wenchi Ma, Miao Yu, Kaidong Li +1
Layer-wise learning, as an alternative to global back-propagation, is easy to interpret, analyze, and it is memory efficient. Recent studies demonstrate that layer-wise learning ca…
Location-Aware Box Reasoning for Anchor-Based Single-Shot Object Detection
Wenchi Ma, Kaidong Li, Guanghui Wang
In the majority of object detection frameworks, the confidence of instance classification is used as the quality criterion of predicted bounding boxes, like the confidence-based ra…
A Comparative Study on Polyp Classification using Convolutional Neural Networks
Krushi Patel, Kaidong Li, Ke Tao +4
Colorectal cancer is the third most common cancer diagnosed in both men and women in the United States. Most colorectal cancers start as a growth on the inner lining of the colon o…
Object Detection with Convolutional Neural Networks
Kaidong Li, Wenchi Ma, Usman Sajid +2
In this chapter, we present a brief overview of the recent development in object detection using convolutional neural networks (CNN). Several classical CNN-based detectors are pres…