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Miguel P. Eckstein
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- affiliation: University of California Santa Barbara, CA, USA
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2020 – today
- 2024
- [i22]Devi Klein, Srijita Karmakar, Aditya Jonnalagadda, Craig K. Abbey, Miguel P. Eckstein:
Greater benefits of deep learning-based computer-aided detection systems for finding small signals in 3D volumetric medical images. CoRR abs/2405.00144 (2024) - [i21]Yujie Lu, Xiujun Li, Tsu-Jui Fu, Miguel P. Eckstein, William Yang Wang:
From Text to Pixel: Advancing Long-Context Understanding in MLLMs. CoRR abs/2405.14213 (2024) - [i20]Aditya Jonnalagadda, Bruno Barufaldi, Andrew D. A. Maidment, Susan P. Weinstein, Craig K. Abbey, Miguel P. Eckstein:
Convolutional Neural Network Model Observers Discount Signal-like Anatomical Structures During Search in Virtual Digital Breast Tomosynthesis Phantoms. CoRR abs/2405.14720 (2024) - 2023
- [j14]Evan Layher, Tyler Santander, Puneeth Chakravarthula, Nicole Marinsek, Benjamin O. Turner, Miguel P. Eckstein, Michael B. Miller:
Widespread frontoparietal fMRI activity is greatly affected by changes in criterion placement, not discriminability, during recognition memory and visual detection tests. NeuroImage 279: 120307 (2023) - [j13]Devi S. Klein, Miguel A. Lago, Craig K. Abbey, Miguel P. Eckstein:
A 2D Synthesized Image Improves the 3D Search for Foveated Visual Systems. IEEE Trans. Medical Imaging 42(8): 2176-2188 (2023) - [c42]Wanrong Zhu, An Yan, Yujie Lu, Wenda Xu, Xin Wang, Miguel P. Eckstein, William Yang Wang:
Visualize Before You Write: Imagination-Guided Open-Ended Text Generation. EACL (Findings) 2023: 78-92 - [c41]Wanrong Zhu, Xin Wang, An Yan, Miguel P. Eckstein, William Yang Wang:
ImaginE: An Imagination-Based Automatic Evaluation Metric for Natural Language Generation. EACL (Findings) 2023: 93-105 - [c40]Wanrong Zhu, Xinyi Wang, Yujie Lu, Tsu-Jui Fu, Xin Wang, Miguel P. Eckstein, William Wang:
Collaborative Generative AI: Integrating GPT-k for Efficient Editing in Text-to-Image Generation. EMNLP 2023: 11113-11122 - [c39]Yujie Lu, Weixi Feng, Wanrong Zhu, Wenda Xu, Xin Eric Wang, Miguel P. Eckstein, William Yang Wang:
Neuro-Symbolic Procedural Planning with Commonsense Prompting. ICLR 2023 - [c38]Craig K. Abbey, Frank W. Samuelson, Rongping Zeng, John M. Boone, Miguel P. Eckstein, Kyle J. Myers:
Predictive accuracy of model observers in lesion discrimination tasks. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2023 - [c37]Weimin Zhou, Miguel P. Eckstein:
Optimal visual search strategy with inter-saccade response correlations. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2023 - [i19]Wanrong Zhu, Xinyi Wang, Yujie Lu, Tsu-Jui Fu, Xin Eric Wang, Miguel P. Eckstein, William Yang Wang:
Collaborative Generative AI: Integrating GPT-k for Efficient Editing in Text-to-Image Generation. CoRR abs/2305.11317 (2023) - 2022
- [c36]Tsu-Jui Fu, Xin Eric Wang, Scott T. Grafton, Miguel P. Eckstein, William Yang Wang:
M3L: Language-based Video Editing via Multi-Modal Multi-Level Transformers. CVPR 2022: 10503-10512 - [c35]Craig K. Abbey, Sourya Sengupta, Weimin Zhou, Andreu Badal, Rongping Zeng, Frank W. Samuelson, Miguel P. Eckstein, Kyle J. Myers, Mark A. Anastasio, Jovan G. Brankov:
Analyzing neural networks applied to an anatomical simulation of the breast. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - [c34]Weimin Zhou, Miguel P. Eckstein:
A deep Q-learning method for optimizing visual search strategies in backgrounds of dynamic noise. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - [c33]Yujie Lu, Wanrong Zhu, Xin Wang, Miguel P. Eckstein, William Yang Wang:
Imagination-Augmented Natural Language Understanding. NAACL-HLT 2022: 4392-4402 - [c32]Wanrong Zhu, Yuankai Qi, Pradyumna Narayana, Kazoo Sone, Sugato Basu, Xin Wang, Qi Wu, Miguel P. Eckstein, William Yang Wang:
Diagnosing Vision-and-Language Navigation: What Really Matters. NAACL-HLT 2022: 5981-5993 - [i18]Weimin Zhou, Miguel P. Eckstein:
A deep Q-learning method for optimizing visual search strategies in backgrounds of dynamic noise. CoRR abs/2201.12385 (2022) - [i17]Yujie Lu, Wanrong Zhu, Xin Eric Wang, Miguel P. Eckstein, William Yang Wang:
Imagination-Augmented Natural Language Understanding. CoRR abs/2204.08535 (2022) - [i16]Yujie Lu, Weixi Feng, Wanrong Zhu, Wenda Xu, Xin Eric Wang, Miguel P. Eckstein, William Yang Wang:
Neuro-Symbolic Causal Language Planning with Commonsense Prompting. CoRR abs/2206.02928 (2022) - [i15]Wanrong Zhu, An Yan, Yujie Lu, Wenda Xu, Xin Eric Wang, Miguel P. Eckstein, William Yang Wang:
Visualize Before You Write: Imagination-Guided Open-Ended Text Generation. CoRR abs/2210.03765 (2022) - 2021
- [j12]Miguel A. Lago, Craig K. Abbey, Miguel P. Eckstein:
Foveated Model Observers for Visual Search in 3D Medical Images. IEEE Trans. Medical Imaging 40(3): 1021-1031 (2021) - [c31]Devi S. Klein, Miguel A. Lago, Miguel P. Eckstein:
The perceptual influence of 2D synthesized images on 3D search. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2021 - [i14]Wanrong Zhu, Yuankai Qi, Pradyumna Narayana, Kazoo Sone, Sugato Basu, Xin Eric Wang, Qi Wu, Miguel P. Eckstein, William Yang Wang:
Diagnosing Vision-and-Language Navigation: What Really Matters. CoRR abs/2103.16561 (2021) - [i13]Tsu-Jui Fu, Xin Eric Wang, Scott T. Grafton, Miguel P. Eckstein, William Yang Wang:
Language-based Video Editing via Multi-Modal Multi-Level Transformer. CoRR abs/2104.01122 (2021) - [i12]Nicole X. Han, William Yang Wang, Miguel P. Eckstein:
Gaze Perception in Humans and CNN-Based Model. CoRR abs/2104.08447 (2021) - [i11]Shravan Murlidaran, William Yang Wang, Miguel P. Eckstein:
Comparing Visual Reasoning in Humans and AI. CoRR abs/2104.14102 (2021) - [i10]Aditya Jonnalagadda, William Wang, Miguel P. Eckstein:
FoveaTer: Foveated Transformer for Image Classification. CoRR abs/2105.14173 (2021) - [i9]Wanrong Zhu, Xin Eric Wang, An Yan, Miguel P. Eckstein, William Yang Wang:
ImaginE: An Imagination-Based Automatic Evaluation Metric for Natural Language Generation. CoRR abs/2106.05970 (2021) - 2020
- [c30]Tsu-Jui Fu, Xin Eric Wang, Matthew F. Peterson, Scott T. Grafton, Miguel P. Eckstein, William Yang Wang:
Counterfactual Vision-and-Language Navigation via Adversarial Path Sampler. ECCV (6) 2020: 71-86 - [c29]Tsu-Jui Fu, Xin Wang, Scott T. Grafton, Miguel P. Eckstein, William Yang Wang:
SSCR: Iterative Language-Based Image Editing via Self-Supervised Counterfactual Reasoning. EMNLP (1) 2020: 4413-4422 - [c28]Craig K. Abbey, Frank W. Samuelson, Rongping Zeng, John M. Boone, Miguel P. Eckstein, Kyle J. Myers:
Human observer templates for lesion discrimination tasks. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2020: 113160U - [c27]Miguel A. Lago, Bruno Barufaldi, Predrag R. Bakic, Craig K. Abbey, Andrew D. A. Maidment, Miguel P. Eckstein:
Foveated model observer to predict human search performance on virtual digital breast tomosynthesis phantoms. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2020: 113160V - [c26]Aditya Jonnalagadda, Miguel A. Lago, Bruno Barufaldi, Predrag R. Bakic, Craig K. Abbey, Andrew D. A. Maidment, Miguel P. Eckstein:
Evaluation of convolutional neural networks for search in 1/f 2.8 filtered noise and digital breast tomosynthesis phantoms. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2020: 1131617 - [i8]Tsu-Jui Fu, Xin Eric Wang, Scott T. Grafton, Miguel P. Eckstein, William Yang Wang:
SSCR: Iterative Language-Based Image Editing via Self-Supervised Counterfactual Reasoning. CoRR abs/2009.09566 (2020)
2010 – 2019
- 2019
- [c25]Arturo Deza, Amit Surana, Miguel P. Eckstein:
Assessment of Faster R-CNN in Man-Machine Collaborative Search. CVPR 2019: 3185-3194 - [c24]Arturo Deza, Aditya Jonnalagadda, Miguel P. Eckstein:
Towards Metamerism via Foveated Style Transfer. ICLR (Poster) 2019 - [c23]Miguel A. Lago, Craig K. Abbey, Miguel P. Eckstein:
A foveated channelized Hotelling search model predicts dissociations in human performance in 2D and 3D images. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2019: 109520D - [c22]Craig K. Abbey, Frank W. Samuelson, Rongping Zeng, John M. Boone, Miguel P. Eckstein, Kyle J. Myers:
Template models for forced-localization tasks. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2019: 1095206 - [i7]Arturo Deza, Amit Surana, Miguel P. Eckstein:
Assessment of Faster R-CNN in Man-Machine collaborative search. CoRR abs/1904.02805 (2019) - [i6]Tsu-Jui Fu, Xin Wang, Matthew F. Peterson, Scott T. Grafton, Miguel P. Eckstein, William Yang Wang:
Counterfactual Vision-and-Language Navigation via Adversarial Path Sampling. CoRR abs/1911.07308 (2019) - 2018
- [c21]Craig K. Abbey, Miguel A. Lago, Miguel P. Eckstein:
Observer templates in 2D and 3D localization tasks. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2018: 105770T - [c20]Miguel P. Eckstein, Miguel A. Lago, Craig K. Abbey:
Evaluation of search strategies for microcalcifications and masses in 3D images. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2018: 105770C - [c19]Miguel A. Lago, Craig K. Abbey, Bruno Barufaldi, Predrag R. Bakic, Susan P. Weinstein, Andrew D. A. Maidment, Miguel P. Eckstein:
Interactions of lesion detectability and size across single-slice DBT and 3D DBT. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2018: 105770X - 2017
- [j11]Emre Akbas, Miguel P. Eckstein:
Object detection through search with a foveated visual system. PLoS Comput. Biol. 13(10) (2017) - [c18]Arturo Deza, Jeffrey R. Peters, Grant S. Taylor, Amit Surana, Miguel P. Eckstein:
Attention Allocation Aid for Visual Search. CHI 2017: 220-231 - [i5]Arturo Deza, Jeffrey R. Peters, Grant S. Taylor, Amit Surana, Miguel P. Eckstein:
Attention Allocation Aid for Visual Search. CoRR abs/1701.03968 (2017) - [i4]Arturo Deza, Aditya Jonnalagadda, Miguel P. Eckstein:
Towards Metamerism via Foveated Style Transfer. CoRR abs/1705.10041 (2017) - 2016
- [c17]Arturo Deza, Miguel P. Eckstein:
Can Peripheral Representations Improve Clutter Metrics on Complex Scenes? NIPS 2016: 2847-2855 - [i3]Arturo Deza, Miguel P. Eckstein:
Can Peripheral Representations Improve Clutter Metrics on Complex Scenes? CoRR abs/1608.04042 (2016) - 2015
- [j10]Iván Díaz, Craig K. Abbey, Pontus A. S. Timberg, Miguel P. Eckstein, Francis R. Verdun, Cyril Castella, François O. Bochud:
Derivation of an Observer Model Adapted to Irregular Signals Based on Convolution Channels. IEEE Trans. Medical Imaging 34(7): 1428-1435 (2015) - [c16]Kathryn Koehler, Miguel P. Eckstein:
Scene Inversion Slows the Rejection of False Positives through Saccade Exploration During Search. CogSci 2015 - [c15]S. Karthikeyan, Thuyen Ngo, Miguel P. Eckstein, B. S. Manjunath:
Eye tracking assisted extraction of attentionally important objects from videos. CVPR 2015: 3241-3250 - 2014
- [j9]Ryan W. Kasper, Hubert Cecotti, Jon Touryan, Miguel P. Eckstein, Barry Giesbrecht:
Isolating the Neural Mechanisms of Interference during Continuous Multisensory Dual-task Performance. J. Cogn. Neurosci. 26(3): 476-489 (2014) - [j8]Hubert Cecotti, Miguel P. Eckstein, Barry Giesbrecht:
Single-Trial Classification of Event-Related Potentials in Rapid Serial Visual Presentation Tasks Using Supervised Spatial Filtering. IEEE Trans. Neural Networks Learn. Syst. 25(11): 2030-2042 (2014) - [c14]Emre Akbas, Aseem Wadhwa, Miguel P. Eckstein, Upamanyu Madhow:
A framework for machine vision based on neuro-mimetic front end processing and clustering. Allerton 2014: 311-318 - [c13]Hubert Cecotti, Miguel P. Eckstein, Barry Giesbrecht:
Single-trial classification of neural responses evoked in rapid serial visual presentation: Effects of stimulus onset asynchrony and stimulus repetition. EMBC 2014: 1282-1285 - [i2]Emre Akbas, Miguel P. Eckstein:
Object Detection Through Exploration With A Foveated Visual Field. CoRR abs/1408.0814 (2014) - 2013
- [c12]S. Karthikeyan, Vignesh Jagadeesh, Renuka Shenoy, Miguel P. Eckstein, B. S. Manjunath:
From Where and How to What We See. ICCV 2013: 625-632 - [i1]Vaibhav Srivastava, Amit Surana, Miguel P. Eckstein, Francesco Bullo:
Mixed Human-Robot Team Surveillance. CoRR abs/1311.2796 (2013) - 2012
- [j7]Miguel P. Eckstein, Koel Das, Binh T. Pham, Matthew F. Peterson, Craig K. Abbey, Jocelyn L. Sy, Barry Giesbrecht:
Neural decoding of collective wisdom with multi-brain computing. NeuroImage 59(1): 94-108 (2012) - [c11]Ryan W. Kasper, Miguel P. Eckstein, Barry Giesbrecht:
A signal detection analysis of the effects of repeated context on visual search. CogSci 2012 - [c10]Hubert Cecotti, Anthony J. Ries, Miguel P. Eckstein, Barry Giesbrecht:
Multiclass classification of single-trial evoked EEG responses. EMBC 2012: 1719-1722 - [c9]Hubert Cecotti, Miguel P. Eckstein, Barry Giesbrecht:
Effects of performing two visual tasks on single-trial detection of event-related potentials. EMBC 2012: 1723-1726 - [c8]Craig K. Abbey, Miguel P. Eckstein:
Modeling observer performance for optimizing medical image acquisition and processing. Human Vision and Electronic Imaging 2012: 82910S - 2011
- [c7]Hubert Cecotti, Ryan W. Kasper, James C. Elliott, Miguel P. Eckstein, Barry Giesbrecht:
Multimodal target detection using single trial evoked EEG responses in single and dual-tasks. EMBC 2011: 6311-6314 - [c6]Hubert Cecotti, Joyce Sato-Reinhold, Jocelyn L. Sy, James C. Elliott, Miguel P. Eckstein, Barry Giesbrecht:
Impact of target probability on single-trial EEG target detection in a difficult rapid serial visual presentation task. EMBC 2011: 6381-6384 - 2010
- [j6]Koel Das, Barry Giesbrecht, Miguel P. Eckstein:
Predicting variations of perceptual performance across individuals from neural activity using pattern classifiers. NeuroImage 51(4): 1425-1437 (2010) - [j5]Sheng Zhang, Miguel P. Eckstein:
Evolution and Optimality of Similar Neural Mechanisms for Perception and Action during Search. PLoS Comput. Biol. 6(9) (2010)
2000 – 2009
- 2006
- [j4]Yani Zhang, Binh T. Pham, Miguel P. Eckstein:
The effect of nonlinear human visual system components on performance of a channelized Hotelling observer in structured backgrounds. IEEE Trans. Medical Imaging 25(10): 1348-1362 (2006) - 2004
- [j3]Yani Zhang, Binh Pham, Miguel P. Eckstein:
Automated optimization of JPEG 2000 encoder options based on model observer performance for detecting variable signals in X-ray coronary angiograms. IEEE Trans. Medical Imaging 23(4): 459-474 (2004) - [j2]Yani Zhang, Binh Pham, Miguel P. Eckstein:
Evaluation of JPEG 2000 encoder options: human and model observer detection of variable signals in X-ray coronary angiograms. IEEE Trans. Medical Imaging 23(5): 613-632 (2004) - 2002
- [j1]Craig K. Abbey, Miguel P. Eckstein:
Optimal shifted estimates of human-observer templates in two-alternative forced-choice experiments. IEEE Trans. Medical Imaging 21(5): 429-440 (2002) - 2001
- [c5]Craig K. Abbey, Miguel P. Eckstein:
Theory for Estimating Human-Observer Templates in Two-Alternative Forced-Choice Experiments. IPMI 2001: 24-35
1990 – 1999
- 1999
- [c4]Thom Carney, Stanley A. Klein, Christopher W. Tyler, D. Amnon Silverstein, Brent Beutter, Dennis Levi, Andrew B. Watson, Adam J. Reeves, Anthony M. Norcia, Chien-Chung Chen, Walter Makous, Miguel P. Eckstein:
Development of an image/threshold database for designing and testing human vision models. Human Vision and Electronic Imaging 1999: 542-551 - [c3]Craig A. Morioka, François O. Bochud, Craig K. Abbey, Miguel P. Eckstein, James Stuart Whiting:
Investigation of a band-pass filter using view-specific image sequences for edge enhancement in quantitative coronary angiography. Medical Imaging: Image Processing 1999 - 1997
- [c2]Miguel P. Eckstein, Albert J. Ahumada Jr., Andrew B. Watson:
Image discrimination models predict signal detection in natural medical image backgrounds. Human Vision and Electronic Imaging 1997: 44-57 - 1996
- [c1]Craig A. Morioka, James Stuart Whiting, Miguel P. Eckstein, Kokila C. Shah:
Multiframe quantitative coronary arteriography. Medical Imaging: Image Processing 1996
Coauthor Index
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last updated on 2024-10-07 21:16 CEST by the dblp team
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