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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
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. Image Perception, Observer Performance, and Technology Assessment 2023 - [c37]Weimin Zhou, Miguel P. Eckstein:
Optimal visual search strategy with inter-saccade response correlations. 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. 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. Image Perception, Observer Performance, and Technology Assessment 2022 - [c33]Yujie Lu, Wanrong Zhu
Imagination-Augmented Natural Language Understanding. NAACL-HLT 2022: 4392-4402 - [c32]Wanrong Zhu
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
Neuro-Symbolic Causal Language Planning with Commonsense Prompting. CoRR abs/2206.02928 (2022) - [i15]Wanrong Zhu
Visualize Before You Write: Imagination-Guided Open-Ended Text Generation. CoRR abs/2210.03765 (2022) - 2021
- [j12]Miguel A. Lago
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. 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
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. Image Perception, Observer Performance, and Technology Assessment 2020: 113160U - [c27]Miguel A. Lago, Bruno Barufaldi, Predrag R. Bakic
Foveated model observer to predict human search performance on virtual digital breast tomosynthesis phantoms. Image Perception, Observer Performance, and Technology Assessment 2020: 113160V - [c26]Aditya Jonnalagadda, Miguel A. Lago, Bruno Barufaldi, Predrag R. Bakic
Evaluation of convolutional neural networks for search in 1/f 2.8 filtered noise and digital breast tomosynthesis phantoms. 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. 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. 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. 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. Image Perception, Observer Performance, and Technology Assessment 2018: 105770C - [c19]Miguel A. Lago, Craig K. Abbey, Bruno Barufaldi, Predrag R. Bakic
Interactions of lesion detectability and size across single-slice DBT and 3D DBT. Image Perception, Observer Performance, and Technology Assessment 2018: 105770X - 2017
- [j11]Emre Akbas
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
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
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
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
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
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. 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. Image Processing 1996
Coauthor Index
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