121 citations · 192 across the 8 of their papers we have counts for
8 papers
Leveraging Content and Context Cues for Low-Light Image Enhancement
Igor Morawski, Kai He, Shusil Dangi +1
Low-light conditions have an adverse impact on machine cognition, limiting the performance of computer vision systems in real life. Since low-light data is limited and difficult to…
Unsupervised Image Prior via Prompt Learning and CLIP Semantic Guidance for Low-Light Image Enhancement
Igor Morawski, Kai He, Shusil Dangi +1
Currently, low-light conditions present a significant challenge for machine cognition. In this paper, rather than optimizing models by assuming that human and machine cognition are…
Tracking-Assisted Object Detection with Event Cameras
Ting-Kang Yen, Igor Morawski, Shusil Dangi +5
Event-based object detection has recently garnered attention in the computer vision community due to the exceptional properties of event cameras, such as high dynamic range and no…
GenISP: Neural ISP for Low-Light Machine Cognition
Igor Morawski, Yu-An Chen, Yu-Sheng Lin +3
Object detection in low-light conditions remains a challenging but important problem with many practical implications. Some recent works show that, in low-light conditions, object…
RITnet: Real-time Semantic Segmentation of the Eye for Gaze Tracking
Aayush K. Chaudhary, Rakshit Kothari, Manoj Acharya +6
Accurate eye segmentation can improve eye-gaze estimation and support interactive computing based on visual attention; however, existing eye segmentation methods suffer from issues…
A Distance Map Regularized CNN for Cardiac Cine MR Image Segmentation
Shusil Dangi, Cristian Linte, Ziv Yaniv
Cardiac image segmentation is a critical process for generating personalized models of the heart and for quantifying cardiac performance parameters. Several convolutional neural ne…
Left Ventricle Segmentation and Quantification from Cardiac Cine MR Images via Multi-task Learning
Shusil Dangi, Ziv Yaniv, Cristian A. Linte
Segmentation of the left ventricle and quantification of various cardiac contractile functions is crucial for the timely diagnosis and treatment of cardiovascular diseases. Traditi…
Integrating Atlas and Graph Cut Methods for LV Segmentation from Cardiac Cine MRI
Shusil Dangi, Nathan Cahill, Cristian A. Linte
Magnetic Resonance Imaging (MRI) has evolved as a clinical standard-of-care imaging modality for cardiac morphology, function assessment, and guidance of cardiac interventions. All…