Austin Reiter

According to our database1, Austin Reiter authored at least 43 papers between 2010 and 2021.

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Bibliography

2021
Exploring Visual Engagement Signals for Representation Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

When in Doubt: Improving Classification Performance with Alternating Normalization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Cross-Modal Retrieval Augmentation for Multi-Modal Classification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Intentonomy: A Dataset and Study Towards Human Intent Understanding.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Dense Depth Estimation in Monocular Endoscopy With Self-Supervised Learning Methods.
IEEE Trans. Medical Imaging, 2020

Deep Multi-Modal Sets.
CoRR, 2020

2019
The deformable most-likely-point paradigm.
Medical Image Anal., 2019

Action Recognition Using Volumetric Motion Representations.
CoRR, 2019

Audiovisual Zooming: What You See Is What You Hear.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

A Generative Adversarial Neural Network for Beamforming Ultrasound Images Invited Presentation.
Proceedings of the 53rd Annual Conference on Information Sciences and Systems, 2019

2018
Evaluation and Stability Analysis of Video-Based Navigation System for Functional Endoscopic Sinus Surgery on In Vivo Clinical Data.
IEEE Trans. Medical Imaging, 2018

Photoacoustic Source Detection and Reflection Artifact Removal Enabled by Deep Learning.
IEEE Trans. Medical Imaging, 2018

Vision-Based Calibration of Dual RCM-Based Robot Arms in Human-Robot Collaborative Minimally Invasive Surgery.
IEEE Robotics Autom. Lett., 2018

Towards automatic initialization of registration algorithms using simulated endoscopy images.
CoRR, 2018

Endoscopic Navigation in the Absence of CT Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Self-supervised Learning for Dense Depth Estimation in Monocular Endoscopy.
Proceedings of the OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, - and - Skin Image Analysis, 2018

Crowdsourcing Annotation of Surgical Instruments in Videos of Cataract Surgery.
Proceedings of the Intravascular Imaging and Computer Assisted Stenting - and - Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, 2018

Learning to See Forces: Surgical Force Prediction with RGB-Point Cloud Temporal Convolutional Networks.
Proceedings of the OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, - and - Skin Image Analysis, 2018

S3D: Stacking Segmental P3D for Action Quality Assessment.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

A Deep Learning Based Alternative to Beamforming Ultrasound Images.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Train, Diagnose and Fix: Interpretable Approach for Fine-grained Action Recognition.
CoRR, 2017

Transferring Face Verification Nets To Pain and Expression Regression.
CoRR, 2017

Simultaneous segmentation and correspondence improvement using statistical modes.
Proceedings of the Medical Imaging 2017: Image Processing, 2017

Regularizing face verification nets for pain intensity regression.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Temporal Convolutional Networks for Action Segmentation and Detection.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Interpretable 3D Human Action Analysis with Temporal Convolutional Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016
Efficient Segmental Inference for Spatiotemporal Modeling of Fine-grained Actions.
CoRR, 2016

Automatic segmentation and statistical shape modeling of the paranasal sinuses to estimate natural variations.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

Endoscopic-CT: learning-based photometric reconstruction for endoscopic sinus surgery.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

Image-based navigation for functional endoscopic sinus surgery using structure from motion.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

Process Monitoring in the Intensive Care Unit: Assessing Patient Mobility Through Activity Analysis with a Non-Invasive Mobility Sensor.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Anatomically Constrained Video-CT Registration via the V-IMLOP Algorithm.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Temporal Convolutional Networks: A Unified Approach to Action Segmentation.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Segmental Spatiotemporal CNNs for Fine-Grained Action Segmentation.
Proceedings of the Computer Vision - ECCV 2016, 2016

2015
Rendering-based video-CT registration with physical constraints for image-guided endoscopic sinus surgery.
Proceedings of the Medical Imaging 2015: Image-Guided Procedures, 2015

Beyond spatial pooling: Fine-grained representation learning in multiple domains.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Appearance learning for 3D tracking of robotic surgical tools.
Int. J. Robotics Res., 2014

Is Multi-model Feature Matching Better for Endoscopic Motion Estimation?
Proceedings of the Computer-Assisted and Robotic Endoscopy - First International Workshop, 2014

Surgical Structured Light for 3D minimally invasive surgical imaging.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

2012
Feature Classification for Tracking Articulated Surgical Tools.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Learning features on robotic surgical tools.
Proceedings of the 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012

2011
A learning algorithm for visual pose estimation of continuum robots.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

2010
An online learning approach to in-vivo tracking using synergistic features.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010


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