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ORCIDEdgar A. Bernal
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2020 – today
- 2023
[j7]Edgar A. Bernal, Jonathan D. Hauenstein
, Dhagash Mehta, Margaret H. Regan, Tingting Tang:
Machine learning the real discriminant locus. J. Symb. Comput. 115: 409-426 (2023)- [i9]Shadi Sartipi, Edgar A. Bernal:
Manifold Regularization for Memory-Efficient Training of Deep Neural Networks. CoRR abs/2305.17119 (2023) - 2022
- [c27]Diana Joseph, Adriann Lai, Steven M. Silverstein, Rajeev S. Ramchandran, Edgar A. Bernal:
Computer vision-based classification of schizophrenia patients from retinal imagery. Image Processing: Algorithms and Systems 2022: 1-6 - 2021
- [c26]Edgar A. Bernal:
Training Deep Generative Models in Highly Incomplete Data Scenarios With Prior Regularization. CVPR Workshops 2021: 2631-2641 - [c25]Wencheng Wu, Beilei Xu, Edgar A. Bernal, Robert L. Hill, Danielle Desa, Edward B. Brown:
Breast Cancer Tissue Sub-Region Classification from Second Harmonic Generation Imagery via Machine Learning. Image Processing: Algorithms and Systems 2021 - [i8]Edgar A. Bernal:
Training Deep Normalizing Flow Models in Highly Incomplete Data Scenarios with Prior Regularization. CoRR abs/2104.01482 (2021) - 2020
- [c24]Trevor W. Richardson, Wencheng Wu, Lei Lin, Beilei Xu, Edgar A. Bernal:
McFlow: Monte Carlo Flow Models for Data Imputation. CVPR 2020: 14193-14202 - [i7]Trevor W. Richardson, Wencheng Wu, Lei Lin, Beilei Xu, Edgar A. Bernal:
MCFlow: Monte Carlo Flow Models for Data Imputation. CoRR abs/2003.12628 (2020) - [i6]Edgar A. Bernal, Jonathan D. Hauenstein, Dhagash Mehta, Margaret H. Regan, Tingting Tang:
Machine learning the real discriminant locus. CoRR abs/2006.14078 (2020)
2010 – 2019
- 2019
- [c23]Lei Lin, Beilei Xu, Wencheng Wu, Trevor W. Richardson, Edgar A. Bernal:
Medical Time Series Classification with Hierarchical Attention-based Temporal Convolutional Networks: A Case Study of Myotonic Dystrophy Diagnosis. CVPR Workshops 2019: 83-86 - [c22]Kin Gwn Lore, Kishore K. Reddy, Michael Giering, Edgar A. Bernal:
Generative Adversarial Networks for Spectral Super-Resolution and Bidirectional RGB-To-Multispectral Mapping. CVPR Workshops 2019: 926-933 - [c21]Edgar A. Bernal:
Surrogate Contrastive Network for Supervised Band Selection in Multispectral Computer Vision Tasks. CVPR Workshops 2019: 998-1006 - [c20]Edgar A. Bernal, Qun Li:
Foreground-Aware Statistical Models for Background Estimation. IRIACV 2019: 1-6 - [c19]Olusegun Oshin, Edgar A. Bernal, Binu M. Nair, Jerry Ding, Richa Varma, Richard W. Osborne, Eddie Tunstel, Francesca Stramandinoli:
Coupling Deep Discriminative and Generative Models for Reactive Robot Planning in Human-Robot Collaboration. SMC 2019: 1869-1874 - [i5]Lei Lin, Beilei Xu, Wencheng Wu, Trevor W. Richardson, Edgar A. Bernal:
Medical Time Series Classification with Hierarchical Attention-based Temporal Convolutional Networks: A Case Study of Myotonic Dystrophy Diagnosis. CoRR abs/1903.11748 (2019) - 2018
- [j6]Edgar A. Bernal, Xitong Yang, Qun Li, Jayant Kumar, Sriganesh Madhvanath, Palghat Ramesh, Raja Bala:
Deep Temporal Multimodal Fusion for Medical Procedure Monitoring Using Wearable Sensors. IEEE Trans. Multim. 20(1): 107-118 (2018) - [c18]Kin Gwn Lore, Kishore K. Reddy, Michael Giering, Edgar A. Bernal:
Generative Adversarial Networks for Depth Map Estimation From RGB Video. CVPR Workshops 2018: 1177-1185 - [i4]Dhagash Mehta, Xiaojun Zhao, Edgar A. Bernal, David J. Wales:
The Loss Surface of XOR Artificial Neural Networks. CoRR abs/1804.02411 (2018) - [i3]Timothy E. Wang, Jack Gu, Dhagash Mehta, Xiaojun Zhao, Edgar A. Bernal:
Towards Robust Deep Neural Networks. CoRR abs/1810.11726 (2018) - 2017
- [c17]Qun Li, Edgar A. Bernal:
An Algorithm for Parallel Reconstruction of Jointly Sparse Tensors with Applications to Hyperspectral Imaging. CVPR Workshops 2017: 218-225 - [c16]Xitong Yang, Palghat Ramesh, Radha Chitta, Sriganesh Madhvanath, Edgar A. Bernal, Jiebo Luo:
Deep Multimodal Representation Learning from Temporal Data. CVPR 2017: 5066-5074 - [c15]Edgar A. Bernal, Qun Li:
Tensorial compressive sensing of jointly sparse matrices with applications to color imaging. ICIP 2017: 2781-2785 - [i2]Xitong Yang, Palghat Ramesh, Radha Chitta, Sriganesh Madhvanath, Edgar A. Bernal, Jiebo Luo:
Deep Multimodal Representation Learning from Temporal Data. CoRR abs/1704.03152 (2017) - 2016
- [j5]Qun Li, Edgar A. Bernal:
Hybrid tenso-vectorial compressive sensing for hyperspectral imaging. J. Electronic Imaging 25(3): 033001 (2016) - [c14]Matthew Shreve, Edgar A. Bernal, Qun Li, Jayant Kumar, Raja Bala:
A study on the discriminability of facs from spontaneous facial expressions. ICIP 2016: 1674-1678 - [c13]Edgar A. Bernal, Qun Li, Orhan Bulan, Wencheng Wu, Stuart Schweid:
Model-less and model-based computationally efficient motion estimation for video compression in transportation applications. WACV Workshops 2016: 1-8 - [c12]Qun Li, Edgar A. Bernal, Matthew Shreve, Robert P. Loce:
Scene-independent feature- and classifier-based vehicle headlight and shadow removal in video sequences. WACV Workshops 2016: 1-8 - 2015
- [c11]Jayant Kumar, Qun Li, Survi Kyal, Edgar A. Bernal, Raja Bala:
On-the-fly hand detection training with application in egocentric action recognition. CVPR Workshops 2015: 18-27 - [c10]Edgar A. Bernal, Qun Li:
Hybrid vectorial and tensorial Compressive Sensing for hyperspectral imaging. ICASSP 2015: 2454-2458 - [c9]Matthew Shreve, Edgar A. Bernal, Qun Li, Robert P. Loce:
Static Occlusion Detection and Handling in Transportation Videos. ITSC 2015: 638-643 - 2014
- [j4]Edgar A. Bernal, Robert P. Loce, Shen-Ge Wang, Zhigang Fan:
Parametrically controlled stochastically seeded clustered halftones: design strategies and applications. J. Electronic Imaging 23(1): 013010 (2014) - [c8]Edgar A. Bernal, Lalit K. Mestha, Eribaweimon Shilla:
Non contact monitoring of respiratory function via depth sensing. BHI 2014: 101-104 - [c7]Meng-Che Chuang, Raja Bala, Edgar A. Bernal, Peter Paul, Aaron Burry:
Estimating Gaze Direction of Vehicle Drivers Using a Smartphone Camera. CVPR Workshops 2014: 165-170 - [i1]Shmuel Friedland, Qun Li, Dan Schonfeld, Edgar A. Bernal:
Two algorithms for compressed sensing of sparse tensors. CoRR abs/1404.1506 (2014) - 2013
- [j3]Orhan Bulan, Robert P. Loce, Wencheng Wu, YaoRong Wang, Edgar A. Bernal, Zhigang Fan:
Video-based real-time on-street parking occupancy detection system. J. Electronic Imaging 22(4): 041109 (2013) - [j2]Orhan Bulan, Edgar A. Bernal, Robert P. Loce:
Efficient processing of transportation surveillance videos in the compressed domain. J. Electronic Imaging 22(4): 041116 (2013) - [j1]Robert P. Loce, Edgar A. Bernal, Wencheng Wu, Raja Bala:
Computer vision in roadway transportation systems: a survey. J. Electronic Imaging 22(4): 041121 (2013) - [c6]Orhan Bulan, Edgar A. Bernal, Robert P. Loce, Wencheng Wu:
Vehicle-triggered video compression/decompression for fast and efficient searching in large video databases. Video Surveillance and Transportation Imaging Applications 2013: 86630Q - [c5]Edgar A. Bernal, Wencheng Wu, Orhan Bulan, Robert P. Loce:
Monocular vision-based vehicular speed estimation from compressed video streams. ITSC 2013: 1155-1160 - [c4]Diana L. Delibaltov, Wencheng Wu, Robert P. Loce, Edgar A. Bernal:
Parking lot occupancy determination from lamp-post camera images. ITSC 2013: 2387-2392 - 2012
- [c3]Edgar A. Bernal, Shen-Ge Wang, Robert P. Loce:
Parametrically controlled, stochastically seeded clustered halftones. Color Imaging: Displaying, Processing, Hardcopy, and Applications 2012: 82920T - [c2]Orhan Bulan, Edgar A. Bernal, Robert P. Loce, Wencheng Wu:
Tire classification from still images and video. ITSC 2012: 485-490 - [c1]Natesh Manikoth, Robert P. Loce, Edgar A. Bernal, Wencheng Wu:
Survey of computer vision in roadway transportation systems. Visual Information Processing and Communication 2012: 83050W
Coauthor Index
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