Miguel P. Eckstein

Publication Activity (10 Years)

Years Active: 1996-2023
Publications (10 Years): 43

Top Topics

Text Generation

Spatial Filtering

Natural Language

Top Venues

Medical Imaging: Image Perception, Observer Performance, and Technology Assessment

IEEE Trans. Medical Imaging

Publications

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)
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) (2023)
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)
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 (2023)
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 (2023)
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)
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)
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 (2022)
Tsu-Jui Fu, Xin Eric Wang, Scott T. Grafton, Miguel P. Eckstein, William Yang Wang
L: Language-based Video Editing via Multi-Modal Multi-Level Transformers. CVPR (2022)
Weimin Zhou, Miguel P. Eckstein
A deep Q-learning method for optimizing visual search strategies in backgrounds of dynamic noise. CoRR (2022)
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)
Yujie Lu, Wanrong Zhu, Xin Eric Wang, Miguel P. Eckstein, William Yang Wang
Imagination-Augmented Natural Language Understanding. CoRR (2022)
Shravan Murlidaran, William Yang Wang, Miguel P. Eckstein
Comparing Visual Reasoning in Humans and AI. CoRR (2021)
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 (2021)
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 (2021)
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 (2021)
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) (2021)
Nicole X. Han, William Yang Wang, Miguel P. Eckstein
Gaze Perception in Humans and CNN-Based Model. CoRR (2021)
Aditya Jonnalagadda, William Wang, Miguel P. Eckstein
FoveaTer: Foveated Transformer for Image Classification. CoRR (2021)
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)
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 (2020)
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)
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)
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)
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)
Arturo Deza, Amit Surana, Miguel P. Eckstein
Assessment of Faster R-CNN in Man-Machine Collaborative Search. CVPR (2019)
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)
Arturo Deza, Aditya Jonnalagadda, Miguel P. Eckstein
Towards Metamerism via Foveated Style Transfer. ICLR (Poster) (2019)
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 (2019)
Arturo Deza, Amit Surana, Miguel P. Eckstein
Assessment of Faster R-CNN in Man-Machine collaborative search. CoRR (2019)
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)
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)
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)
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)
Arturo Deza, Jeffrey R. Peters, Grant S. Taylor, Amit Surana, Miguel P. Eckstein
Attention Allocation Aid for Visual Search. CHI (2017)
Arturo Deza, Jeffrey R. Peters, Grant S. Taylor, Amit Surana, Miguel P. Eckstein
Attention Allocation Aid for Visual Search. CoRR (2017)
Arturo Deza, Aditya Jonnalagadda, Miguel P. Eckstein
Towards Metamerism via Foveated Style Transfer. CoRR (2017)
Emre Akbas, Miguel P. Eckstein
Object detection through search with a foveated visual system. PLoS Comput. Biol. 13 (10) (2017)
Arturo Deza, Miguel P. Eckstein
Can Peripheral Representations Improve Clutter Metrics on Complex Scenes? NIPS (2016)
Arturo Deza, Miguel P. Eckstein
Can Peripheral Representations Improve Clutter Metrics on Complex Scenes? CoRR (2016)
Kathryn Koehler, Miguel P. Eckstein
Scene Inversion Slows the Rejection of False Positives through Saccade Exploration During Search. CogSci (2015)
S. Karthikeyan, Thuyen Ngo, Miguel P. Eckstein, B. S. Manjunath
Eye tracking assisted extraction of attentionally important objects from videos. CVPR (2015)
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) (2015)
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) (2014)
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)
Emre Akbas, Miguel P. Eckstein
Object Detection Through Exploration With A Foveated Visual Field. CoRR (2014)
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) (2014)
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)
S. Karthikeyan, Vignesh Jagadeesh, Renuka Shenoy, Miguel P. Eckstein, B. S. Manjunath
From Where and How to What We See. ICCV (2013)
Vaibhav Srivastava, Amit Surana, Miguel P. Eckstein, Francesco Bullo
Mixed Human-Robot Team Surveillance. CoRR (2013)
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) (2012)
Hubert Cecotti, Anthony J. Ries, Miguel P. Eckstein, Barry Giesbrecht
Multiclass classification of single-trial evoked EEG responses. EMBC (2012)
Ryan W. Kasper, Miguel P. Eckstein, Barry Giesbrecht
A signal detection analysis of the effects of repeated context on visual search. CogSci (2012)
Hubert Cecotti, Miguel P. Eckstein, Barry Giesbrecht
Effects of performing two visual tasks on single-trial detection of event-related potentials. EMBC (2012)
Craig K. Abbey, Miguel P. Eckstein
Modeling observer performance for optimizing medical image acquisition and processing. Human Vision and Electronic Imaging (2012)
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)
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)
Sheng Zhang, Miguel P. Eckstein
Evolution and Optimality of Similar Neural Mechanisms for Perception and Action during Search. PLoS Comput. Biol. 6 (9) (2010)
Koel Das, Barry Giesbrecht, Miguel P. Eckstein
Predicting variations of perceptual performance across individuals from neural activity using pattern classifiers. NeuroImage 51 (4) (2010)
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) (2006)
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) (2004)
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) (2004)
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) (2002)
Craig K. Abbey, Miguel P. Eckstein
Theory for Estimating Human-Observer Templates in Two-Alternative Forced-Choice Experiments. IPMI (2001)
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)
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)
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)
Craig A. Morioka, James Stuart Whiting, Miguel P. Eckstein, Kokila C. Shah
Multiframe quantitative coronary arteriography. Medical Imaging: Image Processing (1996)