214 citations · 219 across the 4 of their papers we have counts for
8 papers
Cascade Transformers for End-to-End Person Search
Rui Yu, Dawei Du, Rodney LaLonde +4
The goal of person search is to localize a target person from a gallery set of scene images, which is extremely challenging due to large scale variations, pose/viewpoint changes, a…
Deformable Capsules for Object Detection
Rodney Lalonde, Naji Khosravan, Ulas Bagci
Capsule networks promise significant benefits over convolutional networks by storing stronger internal representations, and routing information based on the agreement between inter…
Capsules for Biomedical Image Segmentation
Rodney LaLonde, Ziyue Xu, Ismail Irmakci +2
Our work expands the use of capsule networks to the task of object segmentation for the first time in the literature. This is made possible via the introduction of locally-constrai…
Diagnosing Colorectal Polyps in the Wild with Capsule Networks
Rodney LaLonde, Pujan Kandel, Concetto Spampinato +2
Colorectal cancer, largely arising from precursor lesions called polyps, remains one of the leading causes of cancer-related death worldwide. Current clinical standards require the…
Encoding Visual Attributes in Capsules for Explainable Medical Diagnoses
Rodney LaLonde, Drew Torigian, Ulas Bagci
Convolutional neural network based systems have largely failed to be adopted in many high-risk application areas, including healthcare, military, security, transportation, finance,…
INN: Inflated Neural Networks for IPMN Diagnosis
Rodney LaLonde, Irene Tanner, Katerina Nikiforaki +5
Intraductal papillary mucinous neoplasm (IPMN) is a precursor to pancreatic ductal adenocarcinoma. While over half of patients are diagnosed with pancreatic cancer at a distant sta…
Capsules for Object Segmentation
Rodney LaLonde, Ulas Bagci
Convolutional neural networks (CNNs) have shown remarkable results over the last several years for a wide range of computer vision tasks. A new architecture recently introduced by…
ClusterNet: Detecting Small Objects in Large Scenes by Exploiting Spatio-Temporal Information
Rodney LaLonde, Dong Zhang, Mubarak Shah
Object detection in wide area motion imagery (WAMI) has drawn the attention of the computer vision research community for a number of years. WAMI proposes a number of unique challe…