Parametrically controlled, stochastically seeded clustered halftones. - Edgar A. Bernal; Shen-Ge Wang; Robert P. Loce (Color Imaging: Displaying, Processing, Hardcopy, and Applications, 2012)

Tire classification from still images and video. - Orhan Bulan; Edgar A. Bernal; Robert P. Loce; Wencheng Wu (ITSC, 2012)

Survey of computer vision in roadway transportation systems. - Natesh Manikoth; Robert P. Loce; Edgar A. Bernal; Wencheng Wu (Visual Information Processing and Communication, 2012)

Vehicle-triggered video compression/decompression for fast and efficient searching in large video databases. - Orhan Bulan; Edgar A. Bernal; Robert P. Loce; Wencheng Wu (Video Surveillance and Transportation Imaging Applications, 2013)

Monocular vision-based vehicular speed estimation from compressed video streams. - Edgar A. Bernal; Wencheng Wu; Orhan Bulan; Robert P. Loce (ITSC, 2013)

Parking lot occupancy determination from lamp-post camera images. - Diana L. Delibaltov; Wencheng Wu; Robert P. Loce; Edgar A. Bernal (ITSC, 2013)

Efficient processing of transportation surveillance videos in the compressed domain. - Orhan Bulan; Edgar A. Bernal; Robert P. Loce (J. Electronic Imaging, 2013)

Video-based real-time on-street parking occupancy detection system. - Orhan Bulan; Robert P. Loce; Wencheng Wu; YaoRong Wang; Edgar A. Bernal; Zhigang Fan 001 (J. Electronic Imaging, 2013)

Computer vision in roadway transportation systems: a survey. - Robert P. Loce; Edgar A. Bernal; Wencheng Wu; Raja Bala (J. Electronic Imaging, 2013)

Non contact monitoring of respiratory function via depth sensing. - Edgar A. Bernal; Lalit K. Mestha; Eribaweimon Shilla (BHI, 2014)

Estimating Gaze Direction of Vehicle Drivers Using a Smartphone Camera. - Meng-Che Chuang; Raja Bala; Edgar A. Bernal; Peter Paul; Aaron Burry (CVPR Workshops, 2014)

Two algorithms for compressed sensing of sparse tensors. - Shmuel Friedland; Qun Li 003; Dan Schonfeld; Edgar A. Bernal (CoRR, 2014)

Parametrically controlled stochastically seeded clustered halftones: design strategies and applications. - Edgar A. Bernal; Robert P. Loce; Shen-Ge Wang; Zhigang Fan 001 (J. Electronic Imaging, 2014)

On-the-fly hand detection training with application in egocentric action recognition. - Jayant Kumar; Qun Li 003; Survi Kyal; Edgar A. Bernal; Raja Bala (CVPR Workshops, 2015)

Hybrid vectorial and tensorial Compressive Sensing for hyperspectral imaging. - Edgar A. Bernal; Qun Li 003 (ICASSP, 2015)

Static Occlusion Detection and Handling in Transportation Videos. - Matthew Shreve; Edgar A. Bernal; Qun Li 003; Robert P. Loce (ITSC, 2015)

A study on the discriminability of facs from spontaneous facial expressions. - Matthew Shreve; Edgar A. Bernal; Qun Li 003; Jayant Kumar; Raja Bala (ICIP, 2016)

Model-less and model-based computationally efficient motion estimation for video compression in transportation applications. - Edgar A. Bernal; Qun Li 003; Orhan Bulan; Wencheng Wu; Stuart Schweid (WACV Workshops, 2016)

Scene-independent feature- and classifier-based vehicle headlight and shadow removal in video sequences. - Qun Li 003; Edgar A. Bernal; Matthew Shreve; Robert P. Loce (WACV Workshops, 2016)

Hybrid tenso-vectorial compressive sensing for hyperspectral imaging. - Qun Li 003; Edgar A. Bernal (J. Electronic Imaging, 2016)

An Algorithm for Parallel Reconstruction of Jointly Sparse Tensors with Applications to Hyperspectral Imaging. - Qun Li 003; Edgar A. Bernal (CVPR Workshops, 2017)

Deep Multimodal Representation Learning from Temporal Data. - Xitong Yang; Palghat Ramesh; Radha Chitta; Sriganesh Madhvanath; Edgar A. Bernal; Jiebo Luo 001 (CVPR, 2017)

Tensorial compressive sensing of jointly sparse matrices with applications to color imaging. - Edgar A. Bernal; Qun Li 003 (ICIP, 2017)

Generative Adversarial Networks for Depth Map Estimation From RGB Video. - Kin Gwn Lore; Kishore K. Reddy; Michael Giering; Edgar A. Bernal (CVPR Workshops, 2018)

The Loss Surface of XOR Artificial Neural Networks. - Dhagash Mehta; Xiaojun Zhao; Edgar A. Bernal; David J. Wales (CoRR, 2018)

Towards Robust Deep Neural Networks. - Timothy E. Wang; Jack Gu; Dhagash Mehta; Xiaojun Zhao; Edgar A. Bernal (CoRR, 2018)

Deep Temporal Multimodal Fusion for Medical Procedure Monitoring Using Wearable Sensors. - Edgar A. Bernal; Xitong Yang; Qun Li 003; Jayant Kumar; Sriganesh Madhvanath; Palghat Ramesh; Raja Bala (IEEE Trans. Multim., 2018)

Surrogate Contrastive Network for Supervised Band Selection in Multispectral Computer Vision Tasks. - Edgar A. Bernal (CVPR Workshops, 2019)

Medical Time Series Classification with Hierarchical Attention-based Temporal Convolutional Networks: A Case Study of Myotonic Dystrophy Diagnosis. - Lei Lin; Beilei Xu; Wencheng Wu; Trevor W. Richardson; Edgar A. Bernal (CVPR Workshops, 2019)

Generative Adversarial Networks for Spectral Super-Resolution and Bidirectional RGB-To-Multispectral Mapping. - Kin Gwn Lore; Kishore K. Reddy; Michael Giering; Edgar A. Bernal (CVPR Workshops, 2019)

Foreground-Aware Statistical Models for Background Estimation. - Edgar A. Bernal; Qun Li 003 (IRIACV, 2019)

Coupling Deep Discriminative and Generative Models for Reactive Robot Planning in Human-Robot Collaboration. - Olusegun Oshin; Edgar A. Bernal; Binu M. Nair; Jerry Ding; Richa Varma; Richard W. Osborne; Eddie Tunstel; Francesca Stramandinoli (SMC, 2019)

McFlow: Monte Carlo Flow Models for Data Imputation. - Trevor W. Richardson; Wencheng Wu; Lei Lin; Beilei Xu; Edgar A. Bernal (CVPR, 2020)

Training Deep Generative Models in Highly Incomplete Data Scenarios With Prior Regularization. - Edgar A. Bernal (CVPR Workshops, 2021)

Breast Cancer Tissue Sub-Region Classification from Second Harmonic Generation Imagery via Machine Learning. - Wencheng Wu; Beilei Xu; Edgar A. Bernal; Robert L. Hill; Danielle Desa; Edward B. Brown (Image Processing: Algorithms and Systems, 2021)

Training Deep Normalizing Flow Models in Highly Incomplete Data Scenarios with Prior Regularization. - Edgar A. Bernal (CoRR, 2021)

Computer vision-based classification of schizophrenia patients from retinal imagery. - Diana Joseph; Adriann Lai; Steven M. Silverstein; Rajeev S. Ramchandran; Edgar A. Bernal (Image Processing: Algorithms and Systems, 2022)

Manifold Regularization for Memory-Efficient Training of Deep Neural Networks. - Shadi Sartipi; Edgar A. Bernal (CoRR, 2023)

Machine learning the real discriminant locus. - Edgar A. Bernal; Jonathan D. Hauenstein; Dhagash Mehta; Margaret H. Regan; Tingting Tang (J. Symb. Comput., 2023)