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Austin Reiter
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2020 – today
- 2021
- [c31]Menglin Jia, Zuxuan Wu, Austin Reiter, Claire Cardie, Serge J. Belongie, Ser-Nam Lim:
Intentonomy: A Dataset and Study Towards Human Intent Understanding. CVPR 2021: 12986-12996 - [c30]Shir Gur, Natalia Neverova, Christopher Stauffer, Ser-Nam Lim, Douwe Kiela, Austin Reiter:
Cross-Modal Retrieval Augmentation for Multi-Modal Classification. EMNLP (Findings) 2021: 111-123 - [c29]Menglin Jia, Austin Reiter, Ser-Nam Lim, Yoav Artzi, Claire Cardie:
When in Doubt: Improving Classification Performance with Alternating Normalization. EMNLP (Findings) 2021: 1716-1723 - [c28]Menglin Jia, Zuxuan Wu, Austin Reiter, Claire Cardie, Serge J. Belongie, Ser-Nam Lim:
Exploring Visual Engagement Signals for Representation Learning. ICCV 2021: 4186-4197 - [i18]Menglin Jia, Zuxuan Wu, Austin Reiter, Claire Cardie, Serge J. Belongie, Ser-Nam Lim:
Exploring Visual Engagement Signals for Representation Learning. CoRR abs/2104.07767 (2021) - [i17]Shir Gur, Natalia Neverova, Christopher Stauffer, Ser-Nam Lim, Douwe Kiela, Austin Reiter:
Cross-Modal Retrieval Augmentation for Multi-Modal Classification. CoRR abs/2104.08108 (2021) - [i16]Menglin Jia, Austin Reiter, Ser-Nam Lim, Yoav Artzi, Claire Cardie:
When in Doubt: Improving Classification Performance with Alternating Normalization. CoRR abs/2109.13449 (2021) - 2020
- [j6]Xingtong Liu, Ayushi Sinha, Masaru Ishii, Gregory D. Hager, Austin Reiter, Russell H. Taylor, Mathias Unberath:
Dense Depth Estimation in Monocular Endoscopy With Self-Supervised Learning Methods. IEEE Trans. Medical Imaging 39(5): 1438-1447 (2020) - [i15]Austin Reiter, Menglin Jia, Pu Yang, Ser-Nam Lim:
Deep Multi-Modal Sets. CoRR abs/2003.01607 (2020) - [i14]Menglin Jia, Zuxuan Wu, Austin Reiter, Claire Cardie, Serge J. Belongie, Ser-Nam Lim:
Intentonomy: a Dataset and Study towards Human Intent Understanding. CoRR abs/2011.05558 (2020)
2010 – 2019
- 2019
- [j5]Ayushi Sinha, Seth D. Billings, Austin Reiter, Xingtong Liu, Masaru Ishii, Gregory D. Hager, Russell H. Taylor:
The deformable most-likely-point paradigm. Medical Image Anal. 55: 148-164 (2019) - [c27]Arun Asokan Nair, Trac D. Tran, Austin Reiter, Muyinatu A. Lediju Bell:
A Generative Adversarial Neural Network for Beamforming Ultrasound Images Invited Presentation. CISS 2019: 1-6 - [c26]Arun Asokan Nair, Austin Reiter, Changxi Zheng, Shree K. Nayar:
Audiovisual Zooming: What You See Is What You Hear. ACM Multimedia 2019: 1107-1118 - [i13]Xingtong Liu, Ayushi Sinha, Masaru Ishii, Gregory D. Hager, Austin Reiter, Russell H. Taylor, Mathias Unberath:
Self-supervised Learning for Dense Depth Estimation in Monocular Endoscopy. CoRR abs/1902.07766 (2019) - [i12]Michael Peven, Gregory D. Hager, Austin Reiter:
Action Recognition Using Volumetric Motion Representations. CoRR abs/1911.08511 (2019) - 2018
- [j4]Zerui Wang, Ziwei Liu, Qianli Ma, Alexis Cheng, Yunhui Liu, Sungmin Kim, Anton Deguet, Austin Reiter, Peter Kazanzides, Russell H. Taylor:
Vision-Based Calibration of Dual RCM-Based Robot Arms in Human-Robot Collaborative Minimally Invasive Surgery. IEEE Robotics Autom. Lett. 3(2): 672-679 (2018) - [j3]Derek Allman, Austin Reiter, Muyinatu A. Lediju Bell:
Photoacoustic Source Detection and Reflection Artifact Removal Enabled by Deep Learning. IEEE Trans. Medical Imaging 37(6): 1464-1477 (2018) - [j2]Simon Léonard, Ayushi Sinha, Austin Reiter, Masaru Ishii, Gary L. Gallia, Russell H. Taylor, Gregory D. Hager:
Evaluation and Stability Analysis of Video-Based Navigation System for Functional Endoscopic Sinus Surgery on In Vivo Clinical Data. IEEE Trans. Medical Imaging 37(10): 2185-2195 (2018) - [c25]Arun Asokan Nair, Trac D. Tran, Austin Reiter, Muyinatu A. Lediju Bell:
A Deep Learning Based Alternative to Beamforming Ultrasound Images. ICASSP 2018: 3359-3363 - [c24]Xiang Xiang, Ye Tian, Austin Reiter, Gregory D. Hager, Trac D. Tran:
S3D: Stacking Segmental P3D for Action Quality Assessment. ICIP 2018: 928-932 - [c23]Ayushi Sinha, Xingtong Liu, Austin Reiter, Masaru Ishii, Gregory D. Hager, Russell H. Taylor:
Endoscopic Navigation in the Absence of CT Imaging. MICCAI (4) 2018: 64-71 - [c22]Cong Gao, Xingtong Liu, Michael Peven, Mathias Unberath, Austin Reiter:
Learning to See Forces: Surgical Force Prediction with RGB-Point Cloud Temporal Convolutional Networks. OR 2.0/CARE/CLIP/ISIC@MICCAI 2018: 118-127 - [c21]Tae Soo Kim, Anand Malpani, Austin Reiter, Gregory D. Hager, Shameema Sikder, S. Swaroop Vedula:
Crowdsourcing Annotation of Surgical Instruments in Videos of Cataract Surgery. CVII-STENT/LABELS@MICCAI 2018: 121-130 - [c20]Xingtong Liu, Ayushi Sinha, Mathias Unberath, Masaru Ishii, Gregory D. Hager, Russell H. Taylor, Austin Reiter:
Self-supervised Learning for Dense Depth Estimation in Monocular Endoscopy. OR 2.0/CARE/CLIP/ISIC@MICCAI 2018: 128-138 - [i11]Ayushi Sinha, Xingtong Liu, Austin Reiter, Masaru Ishii, Gregory D. Hager, Russell H. Taylor:
Endoscopic navigation in the absence of CT imaging. CoRR abs/1806.03997 (2018) - [i10]Xingtong Liu, Ayushi Sinha, Mathias Unberath, Masaru Ishii, Gregory D. Hager, Russell H. Taylor, Austin Reiter:
Self-supervised Learning for Dense Depth Estimation in Monocular Endoscopy. CoRR abs/1806.09521 (2018) - [i9]Ayushi Sinha, Masaru Ishii, Russell H. Taylor, Gregory D. Hager, Austin Reiter:
Towards automatic initialization of registration algorithms using simulated endoscopy images. CoRR abs/1806.10748 (2018) - [i8]Cong Gao, Xingtong Liu, Michael Peven, Mathias Unberath, Austin Reiter:
Learning to See Forces: Surgical Force Prediction with RGB-Point Cloud Temporal Convolutional Networks. CoRR abs/1808.00057 (2018) - 2017
- [c19]Colin Lea, Michael D. Flynn, René Vidal, Austin Reiter, Gregory D. Hager:
Temporal Convolutional Networks for Action Segmentation and Detection. CVPR 2017: 1003-1012 - [c18]Tae Soo Kim, Austin Reiter:
Interpretable 3D Human Action Analysis with Temporal Convolutional Networks. CVPR Workshops 2017: 1623-1631 - [c17]Feng Wang, Xiang Xiang, Chang Liu, Trac D. Tran, Austin Reiter, Gregory D. Hager, Harry Quon, Jian Cheng, Alan L. Yuille:
Regularizing face verification nets for pain intensity regression. ICIP 2017: 1087-1091 - [c16]Ayushi Sinha, Austin Reiter, Simon Léonard, Masaru Ishii, Gregory D. Hager, Russell H. Taylor:
Simultaneous segmentation and correspondence improvement using statistical modes. Image Processing 2017: 101331B - [i7]Feng Wang, Xiang Xiang, Chang Liu, Trac D. Tran, Austin Reiter, Gregory D. Hager, Harry Quon, Jian Cheng, Alan L. Yuille:
Transferring Face Verification Nets To Pain and Expression Regression. CoRR abs/1702.06925 (2017) - [i6]Tae Soo Kim, Austin Reiter:
Interpretable 3D Human Action Analysis with Temporal Convolutional Networks. CoRR abs/1704.04516 (2017) - [i5]Jingxuan Hou, Tae Soo Kim, Austin Reiter:
Train, Diagnose and Fix: Interpretable Approach for Fine-grained Action Recognition. CoRR abs/1711.08502 (2017) - 2016
- [c15]Colin Lea, Austin Reiter, René Vidal, Gregory D. Hager:
Segmental Spatiotemporal CNNs for Fine-Grained Action Segmentation. ECCV (3) 2016: 36-52 - [c14]Colin Lea, René Vidal, Austin Reiter, Gregory D. Hager:
Temporal Convolutional Networks: A Unified Approach to Action Segmentation. ECCV Workshops (3) 2016: 47-54 - [c13]Seth Billings, Ayushi Sinha, Austin Reiter, Simon Léonard, Masaru Ishii, Gregory D. Hager, Russell H. Taylor:
Anatomically Constrained Video-CT Registration via the V-IMLOP Algorithm. MICCAI (3) 2016: 133-141 - [c12]Austin Reiter, Andy J. Ma, Nishi Rawat, Christine Shrock, Suchi Saria:
Process Monitoring in the Intensive Care Unit: Assessing Patient Mobility Through Activity Analysis with a Non-Invasive Mobility Sensor. MICCAI (1) 2016: 482-490 - [c11]Simon Léonard, Austin Reiter, Ayushi Sinha, Masaru Ishii, Russell H. Taylor, Gregory D. Hager:
Image-based navigation for functional endoscopic sinus surgery using structure from motion. Image Processing 2016: 97840V - [c10]Ayushi Sinha, Simon Léonard, Austin Reiter, Masaru Ishii, Russell H. Taylor, Gregory D. Hager:
Automatic segmentation and statistical shape modeling of the paranasal sinuses to estimate natural variations. Image Processing 2016: 97840D - [c9]Austin Reiter, Simon Léonard, Ayushi Sinha, Masaru Ishii, Russell H. Taylor, Gregory D. Hager:
Endoscopic-CT: learning-based photometric reconstruction for endoscopic sinus surgery. Image Processing 2016: 978418 - [e1]Xiongbiao Luo, Tobias Reichl, Austin Reiter, Gian Luca Mariottini:
Computer-Assisted and Robotic Endoscopy - Second International Workshop, CARE 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Revised Selected Papers. Lecture Notes in Computer Science 9515, Springer 2016, ISBN 978-3-319-29964-8 [contents] - [i4]Colin Lea, Austin Reiter, René Vidal, Gregory D. Hager:
Efficient Segmental Inference for Spatiotemporal Modeling of Fine-grained Actions. CoRR abs/1602.02995 (2016) - [i3]Colin Lea, René Vidal, Austin Reiter, Gregory D. Hager:
Temporal Convolutional Networks: A Unified Approach to Action Segmentation. CoRR abs/1608.08242 (2016) - [i2]Seth D. Billings, Ayushi Sinha, Austin Reiter, Simon Léonard, Masaru Ishii, Gregory D. Hager, Russell H. Taylor:
Anatomically Constrained Video-CT Registration via the V-IMLOP Algorithm. CoRR abs/1610.07931 (2016) - [i1]Colin Lea, Michael D. Flynn, René Vidal, Austin Reiter, Gregory D. Hager:
Temporal Convolutional Networks for Action Segmentation and Detection. CoRR abs/1611.05267 (2016) - 2015
- [c8]Chi Li, Austin Reiter, Gregory D. Hager:
Beyond spatial pooling: Fine-grained representation learning in multiple domains. CVPR 2015: 4913-4922 - [c7]Yoshito Otake, Simon Léonard, Austin Reiter, Purnima Rajan, Jeffrey H. Siewerdsen, Gary L. Gallia, Masaru Ishii, Russell H. Taylor, Gregory D. Hager:
Rendering-based video-CT registration with physical constraints for image-guided endoscopic sinus surgery. Image-Guided Procedures 2015: 94150A - 2014
- [j1]Austin Reiter, Peter K. Allen, Tao Zhao:
Appearance learning for 3D tracking of robotic surgical tools. Int. J. Robotics Res. 33(2): 342-356 (2014) - [c6]Austin Reiter, Alexandros Sigaras, Dennis L. Fowler, Peter K. Allen:
Surgical Structured Light for 3D minimally invasive surgical imaging. IROS 2014: 1282-1287 - [c5]Xiang Xiang, Daniel Mirota, Austin Reiter, Gregory D. Hager:
Is Multi-model Feature Matching Better for Endoscopic Motion Estimation? CARE@MICCAI 2014: 88-98 - 2012
- [c4]Austin Reiter, Peter K. Allen, Tao Zhao:
Learning features on robotic surgical tools. CVPR Workshops 2012: 38-43 - [c3]Austin Reiter, Peter K. Allen, Tao Zhao:
Feature Classification for Tracking Articulated Surgical Tools. MICCAI (2) 2012: 592-600 - 2011
- [c2]Austin Reiter, Roger E. Goldman, Andrea Bajo, Konstantinos Iliopoulos, Nabil Simaan, Peter K. Allen:
A learning algorithm for visual pose estimation of continuum robots. IROS 2011: 2390-2396 - 2010
- [c1]Austin Reiter, Peter K. Allen:
An online learning approach to in-vivo tracking using synergistic features. IROS 2010: 3441-3446
Coauthor Index
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