Miguel P. Eckstein

82 papers A* 7B 4Journal 40Unranked 31

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	IRIS: Intent Resolution via Inference-time Saccades for Open-Ended VQA in Large Vision-Language Models. CoRR Parsa Madinei, Srijita Karmakar, Russell A. Cohen Hoffing, Felix Gervitz, Miguel P. Eckstein
2025	J	`jnl`	DReX: Pure Vision Fusion of Self-Supervised and Convolutional Representations for Image Complexity Prediction. CoRR Jonathan Skaza, Parsa Madinei, Ziqi Wen, Miguel P. Eckstein
2025	J	`jnl`	INTERLACE: Interleaved Layer Pruning and Efficient Adaptation in Large Vision-Language Models. CoRR Parsa Madinei, Ryan Solgi, Ziqi Wen, Jonathan Skaza, Miguel P. Eckstein, Ramtin Pedarsani
2025	J	`jnl`	Predicting Reaction Time to Comprehend Scenes with Foveated Scene Understanding Maps. CoRR Ziqi Wen, Jonathan Skaza, Shravan Murlidaran, William Y. Wang, Miguel P. Eckstein
2024	J	`jnl`	Convolutional Neural Network Model Observers Discount Signal-like Anatomical Structures During Search in Virtual Digital Breast Tomosynthesis Phantoms. CoRR Aditya Jonnalagadda, Bruno Barufaldi, Andrew D. A. Maidment, Susan P. Weinstein, Craig K. Abbey, Miguel P. Eckstein
2024	J	`jnl`	From Text to Pixel: Advancing Long-Context Understanding in MLLMs. CoRR Yujie Lu, Xiujun Li, Tsu-Jui Fu, Miguel P. Eckstein, William Yang Wang
2024	J	`jnl`	Greater benefits of deep learning-based computer-aided detection systems for finding small signals in 3D volumetric medical images. CoRR Devi Klein, Srijita Karmakar, Aditya Jonnalagadda, Craig K. Abbey, Miguel P. Eckstein
2023	J	`jnl`	A 2D Synthesized Image Improves the 3D Search for Foveated Visual Systems. IEEE Trans. Medical Imaging Devi S. Klein, Miguel A. Lago, Craig K. Abbey, Miguel P. Eckstein
2023	A*	`conf`	Collaborative Generative AI: Integrating GPT-k for Efficient Editing in Text-to-Image Generation. EMNLP Wanrong Zhu, Xinyi Wang, Yujie Lu, Tsu-Jui Fu, Xin Wang, Miguel P. Eckstein, William Wang
2023	J	`jnl`	Collaborative Generative AI: Integrating GPT-k for Efficient Editing in Text-to-Image Generation. CoRR Wanrong Zhu, Xinyi Wang, Yujie Lu, Tsu-Jui Fu, Xin Eric Wang, Miguel P. Eckstein, William Yang Wang
2023	—	`conf`	ImaginE: An Imagination-Based Automatic Evaluation Metric for Natural Language Generation. EACL (Findings) Wanrong Zhu, Xin Wang, An Yan, Miguel P. Eckstein, William Yang Wang
2023	A*	`conf`	Neuro-Symbolic Procedural Planning with Commonsense Prompting. ICLR Yujie Lu, Weixi Feng, Wanrong Zhu, Wenda Xu, Xin Eric Wang, Miguel P. Eckstein, William Yang Wang
2023	—	`conf`	Optimal visual search strategy with inter-saccade response correlations. Image Perception, Observer Performance, and Technology Assessment Weimin Zhou, Miguel P. Eckstein
2023	—	`conf`	Predictive accuracy of model observers in lesion discrimination tasks. Image Perception, Observer Performance, and Technology Assessment Craig K. Abbey, Frank W. Samuelson, Rongping Zeng, John M. Boone, Miguel P. Eckstein, Kyle J. Myers
2023	—	`conf`	Visualize Before You Write: Imagination-Guided Open-Ended Text Generation. EACL (Findings) Wanrong Zhu, An Yan, Yujie Lu, Wenda Xu, Xin Wang, Miguel P. Eckstein, William Yang Wang
2023	J	`jnl`	Widespread frontoparietal fMRI activity is greatly affected by changes in criterion placement, not discriminability, during recognition memory and visual detection tests. NeuroImage Evan Layher, Tyler Santander, Puneeth N. Chakravarthula, Nicole Marinsek, Benjamin O. Turner, Miguel P. Eckstein, Michael B. Miller
2022	—	`conf`	A deep Q-learning method for optimizing visual search strategies in backgrounds of dynamic noise. Image Perception, Observer Performance, and Technology Assessment Weimin Zhou, Miguel P. Eckstein
2022	J	`jnl`	A deep Q-learning method for optimizing visual search strategies in backgrounds of dynamic noise. CoRR Weimin Zhou, Miguel P. Eckstein
2022	—	`conf`	Analyzing neural networks applied to an anatomical simulation of the breast. Image Perception, Observer Performance, and Technology Assessment 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
2022	—	`conf`	Diagnosing Vision-and-Language Navigation: What Really Matters. NAACL-HLT Wanrong Zhu, Yuankai Qi, Pradyumna Narayana, Kazoo Sone, Sugato Basu, Xin Wang, Qi Wu, Miguel P. Eckstein, William Yang Wang
2022	—	`conf`	Imagination-Augmented Natural Language Understanding. NAACL-HLT Yujie Lu, Wanrong Zhu, Xin Wang, Miguel P. Eckstein, William Yang Wang
2022	J	`jnl`	Imagination-Augmented Natural Language Understanding. CoRR Yujie Lu, Wanrong Zhu, Xin Eric Wang, Miguel P. Eckstein, William Yang Wang
2022	A*	`conf`	M CVPR Tsu-Jui Fu, Xin Eric Wang, Scott T. Grafton, Miguel P. Eckstein, William Yang Wang
2022	J	`jnl`	Neuro-Symbolic Causal Language Planning with Commonsense Prompting. CoRR Yujie Lu, Weixi Feng, Wanrong Zhu, Wenda Xu, Xin Eric Wang, Miguel P. Eckstein, William Yang Wang
2022	J	`jnl`	Visualize Before You Write: Imagination-Guided Open-Ended Text Generation. CoRR Wanrong Zhu, An Yan, Yujie Lu, Wenda Xu, Xin Eric Wang, Miguel P. Eckstein, William Yang Wang
2021	J	`jnl`	Comparing Visual Reasoning in Humans and AI. CoRR Shravan Murlidaran, William Yang Wang, Miguel P. Eckstein
2021	J	`jnl`	Diagnosing Vision-and-Language Navigation: What Really Matters. CoRR Wanrong Zhu, Yuankai Qi, Pradyumna Narayana, Kazoo Sone, Sugato Basu, Xin Eric Wang, Qi Wu, Miguel P. Eckstein, William Yang Wang
2021	J	`jnl`	FoveaTer: Foveated Transformer for Image Classification. CoRR Aditya Jonnalagadda, William Wang, Miguel P. Eckstein
2021	J	`jnl`	Foveated Model Observers for Visual Search in 3D Medical Images. IEEE Trans. Medical Imaging Miguel A. Lago, Craig K. Abbey, Miguel P. Eckstein
2021	J	`jnl`	Gaze Perception in Humans and CNN-Based Model. CoRR Nicole X. Han, William Yang Wang, Miguel P. Eckstein
2021	J	`jnl`	ImaginE: An Imagination-Based Automatic Evaluation Metric for Natural Language Generation. CoRR Wanrong Zhu, Xin Eric Wang, An Yan, Miguel P. Eckstein, William Yang Wang
2021	J	`jnl`	Language-based Video Editing via Multi-Modal Multi-Level Transformer. CoRR Tsu-Jui Fu, Xin Eric Wang, Scott T. Grafton, Miguel P. Eckstein, William Yang Wang
2021	—	`conf`	The perceptual influence of 2D synthesized images on 3D search. Image Perception, Observer Performance, and Technology Assessment Devi S. Klein, Miguel A. Lago, Miguel P. Eckstein
2020	—	`conf`	Counterfactual Vision-and-Language Navigation via Adversarial Path Sampler. ECCV (6) Tsu-Jui Fu, Xin Eric Wang, Matthew F. Peterson, Scott T. Grafton, Miguel P. Eckstein, William Yang Wang
2020	—	`conf`	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 Aditya Jonnalagadda, Miguel A. Lago, Bruno Barufaldi, Predrag R. Bakic, Craig K. Abbey, Andrew D. A. Maidment, Miguel P. Eckstein
2020	—	`conf`	Foveated model observer to predict human search performance on virtual digital breast tomosynthesis phantoms. Image Perception, Observer Performance, and Technology Assessment Miguel A. Lago, Bruno Barufaldi, Predrag R. Bakic, Craig K. Abbey, Andrew D. A. Maidment, Miguel P. Eckstein
2020	—	`conf`	Human observer templates for lesion discrimination tasks. Image Perception, Observer Performance, and Technology Assessment Craig K. Abbey, Frank W. Samuelson, Rongping Zeng, John M. Boone, Miguel P. Eckstein, Kyle J. Myers
2020	—	`conf`	SSCR: Iterative Language-Based Image Editing via Self-Supervised Counterfactual Reasoning. EMNLP (1) Tsu-Jui Fu, Xin Wang, Scott T. Grafton, Miguel P. Eckstein, William Yang Wang
2020	J	`jnl`	SSCR: Iterative Language-Based Image Editing via Self-Supervised Counterfactual Reasoning. CoRR Tsu-Jui Fu, Xin Eric Wang, Scott T. Grafton, Miguel P. Eckstein, William Yang Wang
2019	—	`conf`	A foveated channelized Hotelling search model predicts dissociations in human performance in 2D and 3D images. Image Perception, Observer Performance, and Technology Assessment Miguel A. Lago, Craig K. Abbey, Miguel P. Eckstein
2019	A*	`conf`	Assessment of Faster R-CNN in Man-Machine Collaborative Search. CVPR Arturo Deza, Amit Surana, Miguel P. Eckstein
2019	J	`jnl`	Assessment of Faster R-CNN in Man-Machine collaborative search. CoRR Arturo Deza, Amit Surana, Miguel P. Eckstein
2019	J	`jnl`	Counterfactual Vision-and-Language Navigation via Adversarial Path Sampling. CoRR Tsu-Jui Fu, Xin Wang, Matthew F. Peterson, Scott T. Grafton, Miguel P. Eckstein, William Yang Wang
2019	—	`conf`	Template models for forced-localization tasks. Image Perception, Observer Performance, and Technology Assessment Craig K. Abbey, Frank W. Samuelson, Rongping Zeng, John M. Boone, Miguel P. Eckstein, Kyle J. Myers
2019	—	`conf`	Towards Metamerism via Foveated Style Transfer. ICLR (Poster) Arturo Deza, Aditya Jonnalagadda, Miguel P. Eckstein
2018	—	`conf`	Evaluation of search strategies for microcalcifications and masses in 3D images. Image Perception, Observer Performance, and Technology Assessment Miguel P. Eckstein, Miguel A. Lago, Craig K. Abbey
2018	—	`conf`	Interactions of lesion detectability and size across single-slice DBT and 3D DBT. Image Perception, Observer Performance, and Technology Assessment Miguel A. Lago, Craig K. Abbey, Bruno Barufaldi, Predrag R. Bakic, Susan P. Weinstein, Andrew D. A. Maidment, Miguel P. Eckstein
2018	—	`conf`	Observer templates in 2D and 3D localization tasks. Image Perception, Observer Performance, and Technology Assessment Craig K. Abbey, Miguel A. Lago, Miguel P. Eckstein
2017	A*	`conf`	Attention Allocation Aid for Visual Search. CHI Arturo Deza, Jeffrey R. Peters, Grant S. Taylor, Amit Surana, Miguel P. Eckstein
2017	J	`jnl`	Attention Allocation Aid for Visual Search. CoRR Arturo Deza, Jeffrey R. Peters, Grant S. Taylor, Amit Surana, Miguel P. Eckstein
2017	J	`jnl`	Object detection through search with a foveated visual system. PLoS Comput. Biol. Emre Akbas, Miguel P. Eckstein
2017	J	`jnl`	Towards Metamerism via Foveated Style Transfer. CoRR Arturo Deza, Aditya Jonnalagadda, Miguel P. Eckstein
2016	—	`conf`	Can Peripheral Representations Improve Clutter Metrics on Complex Scenes? NIPS Arturo Deza, Miguel P. Eckstein
2016	J	`jnl`	Can Peripheral Representations Improve Clutter Metrics on Complex Scenes? CoRR Arturo Deza, Miguel P. Eckstein
2015	J	`jnl`	Derivation of an Observer Model Adapted to Irregular Signals Based on Convolution Channels. IEEE Trans. Medical Imaging Iván Díaz, Craig K. Abbey, Pontus A. S. Timberg, Miguel P. Eckstein, Francis R. Verdun, Cyril Castella, François O. Bochud
2015	A*	`conf`	Eye tracking assisted extraction of attentionally important objects from videos. CVPR S. Karthikeyan, Thuyen Ngo, Miguel P. Eckstein, B. S. Manjunath
2015	B	`conf`	Scene Inversion Slows the Rejection of False Positives through Saccade Exploration During Search. CogSci Kathryn Koehler, Miguel P. Eckstein
2014	—	`conf`	A framework for machine vision based on neuro-mimetic front end processing and clustering. Allerton Emre Akbas, Aseem Wadhwa, Miguel P. Eckstein, Upamanyu Madhow
2014	J	`jnl`	Isolating the Neural Mechanisms of Interference during Continuous Multisensory Dual-task Performance. J. Cogn. Neurosci. Ryan W. Kasper, Hubert Cecotti, Jon Touryan, Miguel P. Eckstein, Barry Giesbrecht
2014	J	`jnl`	Object Detection Through Exploration With A Foveated Visual Field. CoRR Emre Akbas, Miguel P. Eckstein
2014	J	`jnl`	Single-Trial Classification of Event-Related Potentials in Rapid Serial Visual Presentation Tasks Using Supervised Spatial Filtering. IEEE Trans. Neural Networks Learn. Syst. Hubert Cecotti, Miguel P. Eckstein, Barry Giesbrecht
2014	—	`conf`	Single-trial classification of neural responses evoked in rapid serial visual presentation: Effects of stimulus onset asynchrony and stimulus repetition. EMBC Hubert Cecotti, Miguel P. Eckstein, Barry Giesbrecht
2013	A*	`conf`	From Where and How to What We See. ICCV S. Karthikeyan, Vignesh Jagadeesh, Renuka Shenoy, Miguel P. Eckstein, B. S. Manjunath
2013	J	`jnl`	Mixed Human-Robot Team Surveillance. CoRR Vaibhav Srivastava, Amit Surana, Miguel P. Eckstein, Francesco Bullo
2012	B	`conf`	A signal detection analysis of the effects of repeated context on visual search. CogSci Ryan W. Kasper, Miguel P. Eckstein, Barry Giesbrecht
2012	—	`conf`	Effects of performing two visual tasks on single-trial detection of event-related potentials. EMBC Hubert Cecotti, Miguel P. Eckstein, Barry Giesbrecht
2012	—	`conf`	Modeling observer performance for optimizing medical image acquisition and processing. Human Vision and Electronic Imaging Craig K. Abbey, Miguel P. Eckstein
2012	—	`conf`	Multiclass classification of single-trial evoked EEG responses. EMBC Hubert Cecotti, Anthony J. Ries, Miguel P. Eckstein, Barry Giesbrecht
2012	J	`jnl`	Neural decoding of collective wisdom with multi-brain computing. NeuroImage Miguel P. Eckstein, Koel Das, Binh T. Pham, Matthew F. Peterson, Craig K. Abbey, Jocelyn L. Sy, Barry Giesbrecht
2011	—	`conf`	Impact of target probability on single-trial EEG target detection in a difficult rapid serial visual presentation task. EMBC Hubert Cecotti, Joyce Sato-Reinhold, Jocelyn L. Sy, James C. Elliott, Miguel P. Eckstein, Barry Giesbrecht
2011	—	`conf`	Multimodal target detection using single trial evoked EEG responses in single and dual-tasks. EMBC Hubert Cecotti, Ryan W. Kasper, James C. Elliott, Miguel P. Eckstein, Barry Giesbrecht
2010	J	`jnl`	Evolution and Optimality of Similar Neural Mechanisms for Perception and Action during Search. PLoS Comput. Biol. Sheng Zhang, Miguel P. Eckstein
2010	J	`jnl`	Predicting variations of perceptual performance across individuals from neural activity using pattern classifiers. NeuroImage Koel Das, Barry Giesbrecht, Miguel P. Eckstein
2006	J	`jnl`	The effect of nonlinear human visual system components on performance of a channelized Hotelling observer in structured backgrounds. IEEE Trans. Medical Imaging Yani Zhang, Binh T. Pham, Miguel P. Eckstein
2004	J	`jnl`	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 Yani Zhang, Binh Pham, Miguel P. Eckstein
2004	J	`jnl`	Evaluation of JPEG 2000 encoder options: human and model observer detection of variable signals in X-ray coronary angiograms. IEEE Trans. Medical Imaging Yani Zhang, Binh Pham, Miguel P. Eckstein
2002	J	`jnl`	Optimal shifted estimates of human-observer templates in two-alternative forced-choice experiments. IEEE Trans. Medical Imaging Craig K. Abbey, Miguel P. Eckstein
2001	—	`conf`	Theory for Estimating Human-Observer Templates in Two-Alternative Forced-Choice Experiments. IPMI Craig K. Abbey, Miguel P. Eckstein
1999	—	`conf`	Development of an image/threshold database for designing and testing human vision models. Human Vision and Electronic Imaging 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
1999	B	`conf`	Investigation of a band-pass filter using view-specific image sequences for edge enhancement in quantitative coronary angiography. Image Processing Craig A. Morioka, François O. Bochud, Craig K. Abbey, Miguel P. Eckstein, James Stuart Whiting
1997	—	`conf`	Image discrimination models predict signal detection in natural medical image backgrounds. Human Vision and Electronic Imaging Miguel P. Eckstein, Albert J. Ahumada Jr., Andrew B. Watson
1996	B	`conf`	Multiframe quantitative coronary arteriography. Image Processing Craig A. Morioka, James Stuart Whiting, Miguel P. Eckstein, Kokila C. Shah