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2020 – today
- 2024
- [j62]Isaac D. Gerg
, Daniel A. Cook
, Vishal Monga
:
Deep Adaptive Phase Learning: Enhancing Synthetic Aperture Sonar Imagery Through Learned Coherent Autofocus. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 9517-9532 (2024) - [j61]Yanan Zhao
, Yuelong Li
, Haichuan Zhang
, Vishal Monga
, Yonina C. Eldar
:
Deep, Convergent, Unrolled Half-Quadratic Splitting for Image Deconvolution. IEEE Trans. Computational Imaging 10: 574-588 (2024) - [c102]Trung Hoang, Jon S. McElvain, Vishal Monga:
Fast and Physically Enriched Deep Network for Joint Low-Light Enhancement and Image Deblurring. ICASSP 2024: 3115-3119 - 2023
- [j60]Isaac D. Gerg
, Vishal Monga
:
Deep Multi-Look Sequence Processing for Synthetic Aperture Sonar Image Segmentation. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j59]Trung Hoang
, Kyle S. Dalton
, Isaac D. Gerg
, Thomas E. Blanford
, Daniel C. Brown
, Vishal Monga
:
Resonant Scattering-Inspired Deep Networks for Munition Detection in 3D Sonar Imagery. IEEE Trans. Geosci. Remote. Sens. 61: 1-17 (2023) - [c101]Amirsaeed Yazdani, Xuelu Li, Vishal Monga:
Maturity-Aware Active Learning for Semantic Segmentation with Hierarchically-Adaptive Sample Assessment. BMVC 2023: 437 - [c100]Marcos V. Conde, Manuel Kolmet, Tim Seizinger, Tom E. Bishop, Radu Timofte
, Xiangyu Kong, Dafeng Zhang, Jinlong Wu, Fan Wang, Juewen Peng, Zhiyu Pan, Chengxin Liu, Xianrui Luo, Huiqiang Sun, Liao Shen, Zhiguo Cao, Ke Xian, Chaowei Liu, Zigeng Chen, Xingyi Yang, Songhua Liu, Yongcheng Jing, Michael Bi Mi, Xinchao Wang, Zhihao Yang, Wenyi Lian, Siyuan Lai, Haichuan Zhang, Trung Hoang, Amirsaeed Yazdani, Vishal Monga, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Yuxuan Zhao, Baoliang Chen, Yiqing Xu, JiXiangNiu:
Lens-to-Lens Bokeh Effect Transformation. NTIRE 2023 Challenge Report. CVPR Workshops 2023: 1643-1659 - [c99]Trung Hoang, Haichuan Zhang, Amirsaeed Yazdani, Vishal Monga:
TransER: Hybrid Model and Ensemble-based Sequential Learning for Non-homogenous Dehazing. CVPR Workshops 2023: 1670-1679 - [c98]Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte
, Han Zhou, Wei Dong, Yangyi Liu, Jun Chen, Huan Liu, Liangyan Li, Zijun Wu, Yubo Dong, Yuyan Li
, Tian Qiu, Yu He, Yonghong Lu, Yinwei Wu, Zhenxiang Jiang, Songhua Liu, Xingyi Yang, Yongcheng Jing, Bilel Benjdira, Anas M. Ali, Anis Koubaa, Hao-Hsiang Yang, I-Hsiang Chen, Wei-Ting Chen, Zhi-Kai Huang, Yi-Chung Chen, Chia-Hsuan Hsieh, Hua-En Chang, Yuan-Chun Chiang, Sy-Yen Kuo, Yu Guo, Yuan Gao, Ryan Wen Liu, Yuxu Lu, Jingxiang Qu, Shengfeng He, Wenqi Ren, Trung Hoang, Haichuan Zhang, Amirsaeed Yazdani, Vishal Monga, Lehan Yang, Alex Jiahao Wu, Tiancheng Mai, Xiaofeng Cong, Xuemeng Yin, Xuefei Yin, Hazim Emad, Ahmed Abdallah, Yahya Yasser, Dalia Elshahat, Esraa Elbaz, Zhan Li, Wenqing Kuang, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Zhao Zhang, Yanyan Wei, Junhu Wang, Suiyi Zhao, Huan Zheng, Jin Guo, Yangfan Sun, Tianli Liu, Dejun Hao, Kui Jiang, Anjali Sarvaiya, Kalpesh Prajapati, Ratnadeep Patra, Pragnesh Barik, Chaitanya Rathod, Kishor P. Upla, Kiran B. Raja, Raghavendra Ramachandra, Christoph Busch:
NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report. CVPR Workshops 2023: 1808-1825 - [c97]Kareem Metwaly, Junho Kweon, Khaled Alhujaili, Maria Greco, Fulvio Gini, Vishal Monga:
Interpretable, Unrolled Deep Radar Beampattern Design. ICASSP 2023: 1-5 - [c96]Yanan Zhao
, Yuelong Li, Haichuan Zhang, Vishal Monga, Yonina C. Eldar:
A Convergent Neural Network for Non-Blind Image Deblurring. ICIP 2023: 1505-1509 - [i48]Amirsaeed Yazdani, Xuelu Li, Vishal Monga:
Maturity-Aware Active Learning for Semantic Segmentation with Hierarchically-Adaptive Sample Assessment. CoRR abs/2308.14904 (2023) - 2022
- [j58]Isaac D. Gerg
, Vishal Monga
:
Structural Prior Driven Regularized Deep Learning for Sonar Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j57]Yung-Chen Sun
, Isaac D. Gerg
, Vishal Monga
:
Iterative, Deep Synthetic Aperture Sonar Image Segmentation. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j56]Xuelu Li
, Raja Bala
, Vishal Monga
:
Robust Deep 3D Blood Vessel Segmentation Using Structural Priors. IEEE Trans. Image Process. 31: 1271-1284 (2022) - [c95]Kareem Metwaly, Aerin Kim, Elliot Branson, Vishal Monga:
GlideNet: Global, Local and Intrinsic based Dense Embedding NETwork for Multi-category Attributes Prediction. CVPR 2022: 4825-4836 - [c94]Elisa Warner, Xuelu Li, Ganesh Rao, Jason Huse, Jeffrey Traylor, Visweswaran Ravikumar, Vishal Monga, Arvind Rao:
Investigating Useful Features for Overall Survival Prediction in Patients with Low-Grade Glioma Using Histology Slides. EMBC 2022: 4938-4941 - [c93]Xuelu Li, Raja Bala, Vishal Monga:
Structural Prior Models for 3-D Deep Vessel Segmentation. ICASSP 2022: 8662-8666 - [c92]Trung Hoang, Kyle S. Dalton, Isaac D. Gerg, Thomas E. Blanford, Daniel C. Brown, Vishal Monga:
Domain Enriched Deep Networks for Munition Detection in Underwater 3D Sonar Imagery. IGARSS 2022: 815-818 - [c91]Isaac D. Gerg, Vishal Monga:
Synthetic Aperture Sonar Image Segmentation Using Adaptive, Learned Beam Steering. IGARSS 2022: 983-986 - [i47]Kareem Metwaly, Aerin Kim, Elliot Branson, Vishal Monga:
GlideNet: Global, Local and Intrinsic based Dense Embedding NETwork for Multi-category Attributes Prediction. CoRR abs/2203.03079 (2022) - [i46]Li Yu, Kareem Metwaly, James Z. Wang, Vishal Monga:
Surface Defect Detection and Evaluation for Marine Vessels using Multi-Stage Deep Learning. CoRR abs/2203.09580 (2022) - [i45]Yung-Chen Sun, Isaac D. Gerg, Vishal Monga:
Iterative, Deep Synthetic Aperture Sonar Image Segmentation. CoRR abs/2203.15082 (2022) - 2021
- [j55]Vishal Monga, Yuelong Li, Yonina C. Eldar
:
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing. IEEE Signal Process. Mag. 38(2): 18-44 (2021) - [j54]Amirsaeed Yazdani
, Sumit Agrawal
, Kerrick Johnstonbaugh, Sri-Rajasekhar Kothapalli
, Vishal Monga
:
Simultaneous Denoising and Localization Network for Photoacoustic Target Localization. IEEE Trans. Medical Imaging 40(9): 2367-2379 (2021) - [j53]Jun Shi
, Yanan Zhao
, Wei Xiang
, Vishal Monga
, Xiaoping Liu, Ran Tao
:
Deep Scattering Network With Fractional Wavelet Transform. IEEE Trans. Signal Process. 69: 4740-4757 (2021) - [c90]Amirsaeed Yazdani, Tiantong Guo, Vishal Monga:
Physically Inspired Dense Fusion Networks for Relighting. CVPR Workshops 2021: 497-506 - [c89]Isaac D. Gerg, Vishal Monga:
Real-Time, Deep Synthetic Aperture Sonar (SAS) Autofocus. IGARSS 2021: 8684-8687 - [i44]Isaac D. Gerg, Vishal Monga:
Real-Time, Deep Synthetic Aperture Sonar (SAS) Autofocus. CoRR abs/2103.10312 (2021) - [i43]Amirsaeed Yazdani, Yung-Chen Sun, Nicholas B. Stephens, Timothy Ryan, Vishal Monga:
Multi-Class Micro-CT Image Segmentation Using Sparse Regularized Deep Networks. CoRR abs/2104.10705 (2021) - [i42]Amirsaeed Yazdani, Tiantong Guo, Vishal Monga:
Physically Inspired Dense Fusion Networks for Relighting. CoRR abs/2105.02209 (2021) - [i41]Yung-Chen Sun, Isaac D. Gerg, Vishal Monga:
Iterative, Deep, and Unsupervised Synthetic Aperture Sonar Image Segmentation. CoRR abs/2107.14563 (2021) - [i40]Yuelong Li, Or Bar-Shira, Vishal Monga, Yonina C. Eldar:
Deep Algorithm Unrolling for Biomedical Imaging. CoRR abs/2108.06637 (2021) - [i39]Kareem Metwaly, Aerin Kim, Elliot Branson, Vishal Monga:
CAR - Cityscapes Attributes Recognition A Multi-category Attributes Dataset for Autonomous Vehicles. CoRR abs/2111.08243 (2021) - 2020
- [j52]Vishal Monga, Scott T. Acton, Abd-Krim Seghouane
, Arrate Muñoz-Barrutia, Jong Chul Ye:
Editorial: Introduction to the Issue on Domain Enriched Learning for Medical Imaging. IEEE J. Sel. Top. Signal Process. 14(6): 1068-1071 (2020) - [j51]Khaled Alhujaili
, Vishal Monga
, Muralidhar Rangaswamy:
Quartic Gradient Descent for Tractable Radar Slow-Time Ambiguity Function Shaping. IEEE Trans. Aerosp. Electron. Syst. 56(2): 1474-1489 (2020) - [j50]Khaled Alhujaili
, Xianxiang Yu, Guolong Cui
, Vishal Monga
:
Spectrally Compatible MIMO Radar Beampattern Design Under Constant Modulus Constraints. IEEE Trans. Aerosp. Electron. Syst. 56(6): 4749-4766 (2020) - [j49]Xuelu Li
, Vishal Monga
, Arvind U. K. Rao:
Analysis-Synthesis Learning With Shared Features: Algorithms for Histology Image Classification. IEEE Trans. Biomed. Eng. 67(4): 1061-1073 (2020) - [j48]Yuelong Li
, Mohammad Tofighi
, Junyi Geng
, Vishal Monga
, Yonina C. Eldar
:
Efficient and Interpretable Deep Blind Image Deblurring Via Algorithm Unrolling. IEEE Trans. Computational Imaging 6: 666-681 (2020) - [j47]Xuelu Li
, Vishal Monga
, Abhijit Mahalanobis
:
Multiview Automatic Target Recognition for Infrared Imagery Using Collaborative Sparse Priors. IEEE Trans. Geosci. Remote. Sens. 58(10): 6776-6790 (2020) - [j46]Venkateswararao Cherukuri
, Tiantong Guo
, Steven J. Schiff
, Vishal Monga
:
Deep MR Brain Image Super-Resolution Using Spatio-Structural Priors. IEEE Trans. Image Process. 29: 1368-1383 (2020) - [j45]Venkateswararao Cherukuri
, Vijay Kumar B. G, Raja Bala, Vishal Monga
:
Deep Retinal Image Segmentation With Regularization Under Geometric Priors. IEEE Trans. Image Process. 29: 2552-2567 (2020) - [j44]Xianxiang Yu, Khaled Alhujaili
, Guolong Cui
, Vishal Monga
:
MIMO Radar Waveform Design in the Presence of Multiple Targets and Practical Constraints. IEEE Trans. Signal Process. 68: 1974-1989 (2020) - [c88]Amirsaeed Yazdani, Yung-Chen Sun, Nicholas B. Stephens, Timothy Ryan, Vishal Monga:
Multi-Class Micro-CT Image Segmentation Using Sparse Regularized Deep Networks. ACSSC 2020: 1553-1557 - [c87]Mingzhao Yu, Venkateswararao Cherukuri, Tiantong Guo, Vishal Monga:
Ensemble Dehazing Networks for Non-homogeneous Haze. CVPR Workshops 2020: 1832-1841 - [c86]Kareem Metwaly
, Xuelu Li, Tiantong Guo, Vishal Monga:
NonLocal Channel Attention for NonHomogeneous Image Dehazing. CVPR Workshops 2020: 1842-1851 - [c85]Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte
, Jing Liu, Haiyan Wu, Yuan Xie, Yanyun Qu, Lizhuang Ma, Ziling Huang, Qili Deng, Ju-Chin Chao, Tsung-Shan Yang, Peng-Wen Chen, Po-Min Hsu, Tzu-Yi Liao, Chung-En Sun, Pei-Yuan Wu
, Jeonghyeok Do, Jongmin Park, Munchurl Kim, Kareem Metwaly
, Xuelu Li, Tiantong Guo, Vishal Monga, Mingzhao Yu, Venkateswararao Cherukuri, Shiue-Yuan Chuang, Tsung-Nan Lin, David Lee, Jerome Chang, Zhan-Han Wang, Yu-Bang Chang, Chang-Hong Lin, Yu Dong, Hongyu Zhou, Xiangzhen Kong, Sourya Dipta Das, Saikat Dutta, Xuan Zhao, Bing Ouyang, Dennis Estrada, Meiqi Wang, Tianqi Su, Siyi Chen, Bangyong Sun, Vincent Jacob Whannou de Dravo, Zhe Yu, Pratik Narang, Aryan Mehra, Navaneeth Raghunath, Murari Mandal
:
NTIRE 2020 Challenge on NonHomogeneous Dehazing. CVPR Workshops 2020: 2029-2044 - [c84]Kareem Metwaly
, Vishal Monga:
Attention-Mask Dense Merger (Attendense) Deep HDR for Ghost Removal. ICASSP 2020: 2623-2627 - [c83]Tiantong Guo, Vishal Monga:
Reinforced Depth-Aware Deep Learning for Single Image Dehazing. ICASSP 2020: 8891-8895 - [c82]Isaac D. Gerg, David P. Williams, Vishal Monga:
Data Adaptive Image Enhancement and Classification for Synthetic Aperture Sonar. IGARSS 2020: 2835-2838 - [i38]Xuelu Li, Vishal Monga:
Group Based Deep Shared Feature Learning for Fine-grained Image Classification. CoRR abs/2004.01817 (2020) - [i37]Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte, Jing Liu, Haiyan Wu, Yuan Xie, Yanyun Qu, Lizhuang Ma, Ziling Huang, Qili Deng, Ju-Chin Chao, Tsung-Shan Yang, Peng-Wen Chen, Po-Min Hsu, Tzu-Yi Liao, Chung-En Sun, Pei-Yuan Wu, Jeonghyeok Do, Jongmin Park, Munchurl Kim, Kareem Metwaly, Xuelu Li, Tiantong Guo, Vishal Monga, Mingzhao Yu, Venkateswararao Cherukuri, Shiue-Yuan Chuang, Tsung-Nan Lin, David Lee, Jerome Chang, Zhan-Han Wang, Yu-Bang Chang, Chang-Hong Lin, Yu Dong, Hongyu Zhou, Xiangzhen Kong, Sourya Dipta Das, Saikat Dutta, Xuan Zhao, Bing Ouyang, Dennis Estrada, Meiqi Wang, Tianqi Su, Siyi Chen, Bangyong Sun, Vincent Jacob Whannou de Dravo, Zhe Yu, Pratik Narang, Aryan Mehra, Navaneeth Raghunath, Murari Mandal:
NTIRE 2020 Challenge on NonHomogeneous Dehazing. CoRR abs/2005.03457 (2020) - [i36]Isaac D. Gerg, Vishal Monga:
Structural Prior Driven Regularized Deep Learning for Sonar Image Classification. CoRR abs/2010.13317 (2020)
2010 – 2019
- 2019
- [j43]Bosung Kang
, Omar Aldayel
, Vishal Monga
, Muralidhar Rangaswamy:
Spatio-Spectral Radar Beampattern Design for Coexistence With Wireless Communication Systems. IEEE Trans. Aerosp. Electron. Syst. 55(2): 644-657 (2019) - [j42]Tiep Huu Vu
, Lam H. Nguyen, Vishal Monga
:
Classifying Multichannel UWB SAR Imagery via Tensor Sparsity Learning Techniques. IEEE Trans. Aerosp. Electron. Syst. 55(4): 1712-1724 (2019) - [j41]Tiantong Guo
, Hojjat Seyed Mousavi
, Vishal Monga
:
Adaptive Transform Domain Image Super-Resolution via Orthogonally Regularized Deep Networks. IEEE Trans. Image Process. 28(9): 4685-4700 (2019) - [j40]Yuelong Li
, Mohammad Tofighi
, Vishal Monga
:
Robust Alignment for Panoramic Stitching Via an Exact Rank Constraint. IEEE Trans. Image Process. 28(10): 4730-4745 (2019) - [j39]Mohammad Tofighi
, Tiantong Guo
, Jairam K. P. Vanamala, Vishal Monga
:
Prior Information Guided Regularized Deep Learning for Cell Nucleus Detection. IEEE Trans. Medical Imaging 38(9): 2047-2058 (2019) - [j38]Khaled Alhujaili
, Vishal Monga
, Muralidhar Rangaswamy:
Transmit MIMO Radar Beampattern Design via Optimization on the Complex Circle Manifold. IEEE Trans. Signal Process. 67(13): 3561-3575 (2019) - [c81]Xianxiang Yu, Khaled Alhujaili, Guolong Cui, Vishal Monga:
Practically Constrained Waveform Design for MIMO Radar in the Presence of Multiple Targets. ACSSC 2019: 1539-1544 - [c80]Amirsaeed Yazdani, Nicholas B. Stephens
, Venkateswararao Cherukuri, Timothy Ryan, Vishal Monga:
Domain-Enriched Deep Network for Micro-CT Image Segmentation. ACSSC 2019: 1867-1871 - [c79]Xuelu Li, Vishal Monga:
Group Based Deep Shared Feature Learning for Fine-grained Image Classification. BMVC 2019: 143 - [c78]Seungjun Nah, Radu Timofte
, Sungyong Baik, Seokil Hong, Gyeongsik Moon, Sanghyun Son, Kyoung Mu Lee, Xintao Wang, Kelvin C. K. Chan, Ke Yu, Chao Dong, Chen Change Loy, Yuchen Fan, Jiahui Yu, Ding Liu, Thomas S. Huang, Hyeonjun Sim, Munchurl Kim, Dongwon Park, Jisoo Kim, Se Young Chun, Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan
, Ling Shao, Rahul Kumar Gupta, Vishal M. Chudasama, Heena Patel, Kishor P. Upla, Hongfei Fan, Guo Li, Yumei Zhang, Xiang Li, Wenjie Zhang, Qingwen He, Kuldeep Purohit
, A. N. Rajagopalan, Jeonghun Kim, Mohammad Tofighi, Tiantong Guo, Vishal Monga:
NTIRE 2019 Challenge on Video Deblurring: Methods and Results. CVPR Workshops 2019: 1974-1984 - [c77]Tiantong Guo, Xuelu Li, Venkateswararao Cherukuri, Vishal Monga:
Dense Scene Information Estimation Network for Dehazing. CVPR Workshops 2019: 2122-2130 - [c76]Tiantong Guo, Venkateswararao Cherukuri, Vishal Monga:
Dense '123' Color Enhancement Dehazing Network. CVPR Workshops 2019: 2131-2139 - [c75]Codruta O. Ancuti, Cosmin Ancuti, Radu Timofte
, Luc Van Gool, Lei Zhang, Ming-Hsuan Yang, Tiantong Guo, Xuelu Li, Venkateswararao Cherukuri, Vishal Monga, Hao Jiang, Siyuan Yang, Yan Liu, Xiaochao Qu, Pengfei Wan, Dongwon Park, Se Young Chun, Ming Hong, Jinying Huang, Yizi Chen, Shuxin Chen, Bomin Wang, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Jing Liu, Sanchayan Santra, Ranjan Mondal, Bhabatosh Chanda, Peter Morales, Tzofi Klinghoffer, Le Manh Quan, Yong-Guk Kim, Xiao Liang, Runde Li, Jinshan Pan, Jinhui Tang, Kuldeep Purohit
, Maitreya Suin, A. N. Rajagopalan, Raimondo Schettini, Simone Bianco, Flavio Piccoli
, Claudio Cusano, Luigi Celona
, Sunhee Hwang
, Yu Seung Ma, Hyeran Byun, Subrahmanyam Murala, Akshay Dudhane, Harshjeet Singh Aulakh, Tianxiang Zheng, Tao Zhang, Weining Qin, Runnan Zhou, Shanhu Wang, Jean-Philippe Tarel, Chuansheng Wang, Jiawei Wu:
NTIRE 2019 Image Dehazing Challenge Report. CVPR Workshops 2019: 2241-2253 - [c74]Yuelong Li, Mohammad Tofighi, Vishal Monga, Yonina C. Eldar:
An Algorithm Unrolling Approach to Deep Image Deblurring. ICASSP 2019: 7675-7679 - [c73]Venkateswararao Cherukuri, Vijay Kumar B. G, Raja Bala, Vishal Monga:
Multi-Scale Regularized Deep Network for Retinal Vessel Segmentation. ICIP 2019: 824-828 - [i35]Mohammad Tofighi, Tiantong Guo, Jairam K. P. Vanamala, Vishal Monga:
Prior Information Guided Regularized Deep Learning for Cell Nucleus Detection. CoRR abs/1901.07061 (2019) - [i34]Yuelong Li, Mohammad Tofighi, Junyi Geng
, Vishal Monga, Yonina C. Eldar:
An Algorithm Unrolling Approach to Deep Blind Image Deblurring. CoRR abs/1902.03493 (2019) - [i33]Yuelong Li, Mohammad Tofighi, Vishal Monga, Yonina C. Eldar:
An Algorithm Unrolling Approach to Deep Image Deblurring. CoRR abs/1902.05399 (2019) - [i32]Yuelong Li, Mohammad Tofighi, Vishal Monga:
Robust Alignment for Panoramic Stitching via an Exact Rank Constraint. CoRR abs/1904.04158 (2019) - [i31]Tiantong Guo, Hojjat Seyed Mousavi, Vishal Monga:
Adaptive Transform Domain Image Super-resolution Via Orthogonally Regularized Deep Networks. CoRR abs/1904.10082 (2019) - [i30]Venkateswararao Cherukuri, Tiantong Guo, Steven J. Schiff, Vishal Monga:
Deep MR Brain Image Super-Resolution Using Spatio-Structural Priors. CoRR abs/1909.04572 (2019) - [i29]John McKay, Anne Gelb, Suren Jayasuriya, Vishal Monga:
Thresholded Non-Uniform Fourier Frame-Based Reconstruction for Stripmap SAR. CoRR abs/1910.10908 (2019) - [i28]Vishal Monga, Yuelong Li, Yonina C. Eldar:
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing. CoRR abs/1912.10557 (2019) - 2018
- [j37]Mohammad Tofighi
, Yuelong Li
, Vishal Monga:
Blind Image Deblurring Using Row-Column Sparse Representations. IEEE Signal Process. Lett. 25(2): 273-277 (2018) - [j36]Venkateswararao Cherukuri
, Peter Ssenyonga, Benjamin C. Warf, Abhaya V. Kulkarni, Vishal Monga, Steven J. Schiff
:
Learning Based Segmentation of CT Brain Images: Application to Postoperative Hydrocephalic Scans. IEEE Trans. Biomed. Eng. 65(8): 1871-1884 (2018) - [c72]Khaled Alhujaili, Vishal Monga, Muralidhar Rangaswamy:
MIMO Radar Beampattern Design Under Joint Constant Modulus and Orthogonality Constraints. ACSSC 2018: 1899-1904 - [c71]Tiantong Guo, Hojjat Seyed Mousavi, Vishal Monga:
Orthogonally Regularized Deep Networks for Image Super-Resolution. ICASSP 2018: 1463-1467 - [c70]Hojjat Seyed Mousavi, Tiantong Guo, Vishal Monga:
Deep Image Super Resolution via Natural Image Priors. ICASSP 2018: 1483-1487 - [c69]Venkateswararao Cherukuri, Tiantong Guo, Steven J. Schiff, Vishal Monga:
Deep Mr Image Super-Resolution Using Structural Priors. ICIP 2018: 410-414 - [c68]Mohammad Tofighi, Tiantong Guo, Jairam K. P. Vanamala, Vishal Monga:
Deep Networks with Shape Priors for Nucleus Detection. ICIP 2018: 719-723 - [c67]Xuelu Li, Vishal Monga:
Collaborative Sparse Priors for Infrared Image Multi-View ATR. IGARSS 2018: 5736-5739 - [c66]John McKay, Isaac Gerg, Vishal Monga:
Bridging The GAP: Simultaneous Fine Tuning for Data Re-Balancing. IGARSS 2018: 7062-7065 - [c65]Xuelu Li, Vishal Monga, Arvind U. K. Rao:
Analysis-synthesis model learning with shared features: A new framework for histopathological image classification. ISBI 2018: 203-206 - [i27]John McKay, Isaac Gerg, Vishal Monga:
Bridging the Gap: Simultaneous Fine Tuning for Data Re-Balancing. CoRR abs/1801.02548 (2018) - [i26]Tiep Huu Vu, Lam Nguyen, Tiantong Guo, Vishal Monga:
Deep Network for Simultaneous Decomposition and Classification in UWB-SAR Imagery. CoRR abs/1801.05458 (2018) - [i25]Tiantong Guo, Hojjat Seyed Mousavi, Vishal Monga:
Orthogonally Regularized Deep Networks For Image Super-resolution. CoRR abs/1802.02018 (2018) - [i24]Hojjat Seyed Mousavi, Tiantong Guo, Vishal Monga:
Deep Image Super Resolution via Natural Image Priors. CoRR abs/1802.02721 (2018) - [i23]Mohammad Tofighi, Tiantong Guo, Jairam K. P. Vanamala, Vishal Monga:
Deep Networks with Shape Priors for Nucleus Detection. CoRR abs/1807.03135 (2018) - [i22]Venkateswararao Cherukuri, Tiantong Guo, Steven J. Schiff, Vishal Monga:
Deep MR Image Super-Resolution Using Structural Priors. CoRR abs/1809.03140 (2018) - [i21]Tiep Huu Vu, Lam Nguyen, Vishal Monga:
Classifying Multi-channel UWB SAR Imagery via Tensor Sparsity Learning Techniques. CoRR abs/1810.02812 (2018) - 2017
- [j35]John McKay
, Vishal Monga, Raghu G. Raj:
Robust Sonar ATR Through Bayesian Pose-Corrected Sparse Classification. IEEE Trans. Geosci. Remote. Sens. 55(10): 5563-5576 (2017) - [j34]Yuelong Li
, Chul Lee
, Vishal Monga:
A Maximum a Posteriori Estimation Framework for Robust High Dynamic Range Video Synthesis. IEEE Trans. Image Process. 26(3): 1143-1157 (2017) - [j33]Hojjat Seyed Mousavi
, Vishal Monga:
Sparsity-Based Color Image Super Resolution via Exploiting Cross Channel Constraints. IEEE Trans. Image Process. 26(11): 5094-5106 (2017) - [j32]Tiep Huu Vu
, Vishal Monga:
Fast Low-Rank Shared Dictionary Learning for Image Classification. IEEE Trans. Image Process. 26(11): 5160-5175 (2017) - [j31]Omar Aldayel
, Vishal Monga, Muralidhar Rangaswamy:
Tractable Transmit MIMO Beampattern Design Under a Constant Modulus Constraint. IEEE Trans. Signal Process. 65(10): 2588-2599 (2017) - [c64]John McKay, Raghu G. Raj, Vishal Monga:
Fast stochastic hierarchical Bayesian map for tomographic imaging. ACSSC 2017: 223-227 - [c63]Omar Aldayel
, Tiantong Guo, Vishal Monga, Muralidhar Rangaswamy:
Adaptive sequential refinement: A tractable approach for ambiguity function shaping in cognitive radar. ACSSC 2017: 573-577 - [c62]Vishal Monga:
Sparsity constrained estimation via spike and slab priors. CISS 2017: 1 - [c61]Tiantong Guo, Hojjat Seyed Mousavi, Tiep Huu Vu, Vishal Monga:
Deep Wavelet Prediction for Image Super-Resolution. CVPR Workshops 2017: 1100-1109 - [c60]Radu Timofte
, Eirikur Agustsson, Luc Van Gool, Ming-Hsuan Yang, Lei Zhang, Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, Kyoung Mu Lee, Xintao Wang, Yapeng Tian, Ke Yu, Yulun Zhang, Shixiang Wu, Chao Dong, Liang Lin, Yu Qiao, Chen Change Loy, Woong Bae, Jae Jun Yoo
, Yoseob Han, Jong Chul Ye, Jae-Seok Choi, Munchurl Kim, Yuchen Fan, Jiahui Yu, Wei Han, Ding Liu
, Haichao Yu, Zhangyang Wang, Honghui Shi, Xinchao Wang, Thomas S. Huang, Yunjin Chen, Kai Zhang, Wangmeng Zuo, Zhimin Tang, Linkai Luo, Shaohui Li, Min Fu, Lei Cao, Wen Heng, Giang Bui, Truc Le, Ye Duan, Dacheng Tao, Ruxin Wang, Xu Lin, Jianxin Pang, Jinchang Xu, Yu Zhao, Xiangyu Xu, Jin-shan Pan, Deqing Sun, Yujin Zhang, Xibin Song, Yuchao Dai, Xueying Qin, Xuan-Phung Huynh, Tiantong Guo, Hojjat Seyed Mousavi, Tiep Huu Vu, Vishal Monga, Cristóvão Cruz, Karen O. Egiazarian, Vladimir Katkovnik, Rakesh Mehta, Arnav Kumar Jain, Abhinav Agarwalla, Ch V. Sai Praveen, Ruofan Zhou, Hongdiao Wen, Che Zhu, Zhiqiang Xia, Zhengtao Wang, Qi Guo:
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results. CVPR Workshops 2017: 1110-1121 - [c59]Tiep Huu Vu, Hojjat Seyed Mousavi, Vishal Monga:
Adaptive matching pursuit for sparse signal recovery. ICASSP 2017: 4331-4335 - [c58]Venkateswararao Cherukuri, Peter Ssenyonga, Benjamin C. Warf, Abhaya V. Kulkarni, Vishal Monga, Steven J. Schiff:
Learning based image segmentation of post-operative CT-images: A hydrocephalus case study. NER 2017: 13-16 - [p2]Vishal Monga:
Introduction. Handbook of Convex Optimization Methods in Imaging Science 2017: 1-13 - [p1]Vishal Monga, Hojjat Seyed Mousavi, Umamahesh Srinivas:
Sparsity Constrained Estimation in Image Processing and Computer Vision. Handbook of Convex Optimization Methods in Imaging Science 2017: 177-206 - [e1]Vishal Monga:
Handbook of Convex Optimization Methods in Imaging Science. Springer 2017, ISBN 978-3-319-61608-7 [contents] - [i20]John McKay, Anne Gelb, Vishal Monga, Raghu G. Raj:
Using Frame Theoretic Convolutional Gridding for Robust Synthetic Aperture Sonar Imaging. CoRR abs/1706.08575 (2017) - [i19]John McKay, Vishal Monga, Raghu G. Raj:
Robust Sonar ATR Through Bayesian Pose Corrected Sparse Classification. CoRR abs/1706.08590 (2017) - [i18]John McKay, Isaac Gerg, Vishal Monga, Raghu G. Raj:
What's Mine is Yours: Pretrained CNNs for Limited Training Sonar ATR. CoRR abs/1706.09858 (2017) - [i17]John McKay, Raghu G. Raj, Vishal Monga:
Fast Stochastic Hierarchical Bayesian MAP for Tomographic Imaging. CoRR abs/1707.02336 (2017) - [i16]Mohammad Tofighi, Yuelong Li, Vishal Monga:
Blind Image Deblurring Using Row-Column Sparse Representations. CoRR abs/1712.01937 (2017) - 2016
- [j30]Bosung Kang, Vishal Monga, Muralidhar Rangaswamy, Yuri I. Abramovich:
Expected likelihood approach for determining constraints in covariance estimation. IEEE Trans. Aerosp. Electron. Syst. 52(5): 2139-2156 (2016) - [j29]Chul Lee
, Vishal Monga:
Power-Constrained RGB-to-RGBW Conversion for Emissive Displays: Optimization-Based Approaches. IEEE Trans. Circuits Syst. Video Technol. 26(10): 1821-1834 (2016) - [j28]Tiep Huu Vu, Hojjat Seyed Mousavi, Vishal Monga, Ganesh Rao, Arvind U. K. Rao:
Histopathological Image Classification Using Discriminative Feature-Oriented Dictionary Learning. IEEE Trans. Medical Imaging 35(3): 738-751 (2016) - [j27]Omar Aldayel
, Vishal Monga, Muralidhar Rangaswamy:
Successive QCQP Refinement for MIMO Radar Waveform Design Under Practical Constraints. IEEE Trans. Signal Process. 64(14): 3760-3774 (2016) - [c57]Tiantong Guo, Hojjat Seyed Mousavi, Vishal Monga:
Deep learning based image super-resolution with coupled backpropagation. GlobalSIP 2016: 237-241 - [c56]Hojjat Seyed Mousavi, Vishal Monga:
Sparsity based super resolution using color channel constraints. ICIP 2016: 579-583 - [c55]Yuelong Li, Vishal Monga:
SIASM: Sparsity-based image alignment and stitching method for robust image mosaicking. ICIP 2016: 1828-1832 - [c54]Tiep Huu Vu, Vishal Monga:
Learning a low-rank shared dictionary for object classification. ICIP 2016: 4428-4432 - [c53]John McKay, Vishal Monga, Raghu G. Raj:
Localized dictionary design for geometrically robust sonar ATR. IGARSS 2016: 991-994 - [i15]John McKay, Raghu G. Raj, Vishal Monga, Jason T. Isaacs:
Discriminative Sparsity for Sonar ATR. CoRR abs/1601.00119 (2016) - [i14]John McKay, Vishal Monga, Raghu G. Raj:
Localized Dictionary design for Geometrically Robust Sonar ATR. CoRR abs/1601.03323 (2016) - [i13]Tiep Huu Vu, Vishal Monga:
Learning a low-rank shared dictionary for object classification. CoRR abs/1602.00310 (2016) - [i12]Hojjat Seyed Mousavi, Vishal Monga:
Sparsity-based Color Image Super Resolution via Exploiting Cross Channel Constraints. CoRR abs/1610.01066 (2016) - [i11]Tiep Huu Vu, Hojjat Seyed Mousavi, Vishal Monga:
Adaptive matching pursuit for sparse signal recovery. CoRR abs/1610.08495 (2016) - [i10]Tiep Huu Vu, Vishal Monga:
Fast Low-rank Shared Dictionary Learning for Image Classification. CoRR abs/1610.08606 (2016) - [i9]Yuelong Li, Chul Lee, Vishal Monga:
A Maximum A Posteriori Estimation Framework for Robust High Dynamic Range Video Synthesis. CoRR abs/1612.02761 (2016) - 2015
- [j26]Hojjat Seyed Mousavi, Vishal Monga, Trac D. Tran:
Iterative Convex Refinement for Sparse Recovery. IEEE Signal Process. Lett. 22(11): 1903-1907 (2015) - [j25]Bosung Kang, Vishal Monga, Muralidhar Rangaswamy:
Computationally efficient toeplitz approximation of structured covariance under a rank constraint. IEEE Trans. Aerosp. Electron. Syst. 51(1): 775-785 (2015) - [j24]Umamahesh Srinivas, Nasser M. Nasrabadi, Vishal Monga:
Graph-Based Sensor Fusion for Classification of Transient Acoustic Signals. IEEE Trans. Cybern. 45(3): 576-587 (2015) - [j23]Mu Li, Vishal Monga:
Twofold Video Hashing With Automatic Synchronization. IEEE Trans. Inf. Forensics Secur. 10(8): 1727-1738 (2015) - [j22]Umamahesh Srinivas, Yuanming Suo, Minh Dao, Vishal Monga, Trac D. Tran:
Structured Sparse Priors for Image Classification. IEEE Trans. Image Process. 24(6): 1763-1776 (2015) - [c52]Omar Aldayel
, Vishal Monga, Muralidhar Rangaswamy:
SQR: Successive QCQP refinement for MIMO radar waveform design under practical constraints. ACSSC 2015: 85-89 - [c51]Yuelong Li, Chul Lee
, Vishal Monga:
A map estimation framework for HDR video synthesis. ICIP 2015: 2219-2223 - [c50]Tiep Huu Vu, Hojjat Seyed Mousavi, Vishal Monga, Arvind U. K. Rao, Ganesh Rao:
DFDL: Discriminative feature-oriented dictionary learning for histopathological image classification. ISBI 2015: 990-994 - [i8]Hojjat Seyed Mousavi, Umamahesh Srinivas, Vishal Monga, Yuanming Suo, Minh Dao, Trac D. Tran:
Multi-task Image Classification via Collaborative, Hierarchical Spike-and-Slab Priors. CoRR abs/1501.07867 (2015) - [i7]Tiep Huu Vu, Hojjat Seyed Mousavi, Vishal Monga, Arvind U. K. Rao, Ganesh Rao:
DFDL: Discriminative Feature-oriented Dictionary Learning for Histopathological Image Classification. CoRR abs/1502.01032 (2015) - [i6]Hojjat Seyed Mousavi, Vishal Monga, Trac D. Tran:
ICR: Iterative Convex Refinement for Sparse Signal Recovery Using Spike and Slab Priors. CoRR abs/1502.04726 (2015) - [i5]Tiep Huu Vu, Hojjat Seyed Mousavi, Vishal Monga, Arvind U. K. Rao, Ganesh Rao:
Histopathological Image Classification using Discriminative Feature-oriented Dictionary Learning. CoRR abs/1506.05032 (2015) - 2014
- [j21]Chul Lee
, Yuelong Li, Vishal Monga:
Ghost-Free High Dynamic Range Imaging via Rank Minimization. IEEE Signal Process. Lett. 21(9): 1045-1049 (2014) - [j20]Bosung Kang, Vishal Monga, Muralidhar Rangaswamy:
Rank-Constrained Maximum Likelihood Estimation of Structured Covariance Matrices. IEEE Trans. Aerosp. Electron. Syst. 50(1): 501-515 (2014) - [j19]Umamahesh Srinivas, Vishal Monga, Raghu G. Raj:
SAR Automatic Target Recognition Using Discriminative Graphical Models. IEEE Trans. Aerosp. Electron. Syst. 50(1): 591-606 (2014) - [j18]Xuan Mo, Vishal Monga, Raja Bala, Zhigang Fan:
Adaptive Sparse Representations for Video Anomaly Detection. IEEE Trans. Circuits Syst. Video Technol. 24(4): 631-645 (2014) - [j17]Umamahesh Srinivas, Hojjat Seyed Mousavi, Vishal Monga, Arthur Hattel, Bhushan Jayarao:
Simultaneous Sparsity Model for Histopathological Image Representation and Classification. IEEE Trans. Medical Imaging 33(5): 1163-1179 (2014) - [c49]Chul Lee
, Vishal Monga:
Power-constrained RGB-to-RGBW conversion for emissive displays. ICASSP 2014: 1205-1209 - [c48]Xuan Mo, Vishal Monga, Raja Bala, Zhigang Fan, Aaron Burry:
Low rank sparsity prior for robust video anomaly detection. ICASSP 2014: 1285-1289 - [c47]Yuanming Suo, Minh Dao, Trac D. Tran, Hojjat Seyed Mousavi, Umamahesh Srinivas, Vishal Monga:
Group structured dirty dictionary learning for classification. ICIP 2014: 150-154 - [c46]Xuan Mo, Vishal Monga, Raja Bala:
Simultaneous sparsity model for multi-perspective video anomaly detection. ICIP 2014: 2314-2318 - [c45]Hojjat Seyed Mousavi, Umamahesh Srinivas, Vishal Monga, Yuanming Suo, Minh Dao, Trac D. Tran:
Multi-task image classification via collaborative, hierarchical spike-and-slab priors. ICIP 2014: 4236-4240 - [c44]Mu Li, Vishal Monga:
Twofold video hashing with automatic synchronization. ICIP 2014: 5362-5366 - [i4]Mu Li, Vishal Monga:
Twofold Video Hashing with Automatic Synchronization. CoRR abs/1402.5422 (2014) - [i3]Yuanming Suo, Minh Dao, Umamahesh Srinivas, Vishal Monga, Trac D. Tran:
Structured Dictionary Learning for Classification. CoRR abs/1406.1943 (2014) - 2013
- [j16]Umamahesh Srinivas, Yi Chen, Vishal Monga, Nasser M. Nasrabadi, Trac D. Tran:
Exploiting Sparsity in Hyperspectral Image Classification via Graphical Models. IEEE Geosci. Remote. Sens. Lett. 10(3): 505-509 (2013) - [j15]Pramod K. Vemulapalli, Vishal Monga, Sean N. Brennan
:
Robust Extrema Features for Time-Series Data Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 35(6): 1464-1479 (2013) - [j14]Mu Li, Vishal Monga:
Compact Video Fingerprinting via Structural Graphical Models. IEEE Trans. Inf. Forensics Secur. 8(11): 1709-1721 (2013) - [c43]Bosung Kang, Vishal Monga, Muralidhar Rangaswamy:
Efficient approximation of structured covariance under joint Toeplitz and rank constraints. ACSSC 2013: 692-696 - [c42]Vishal Monga, Trac D. Tran:
Discriminative sparse representations with applications. ACC 2013: 2280-2282 - [c41]Bosung Kang, Vishal Monga, Muralidhar Rangaswamy:
Constrained ML estimation of structured covariance matrices with applications in radar STAP. CAMSAP 2013: 101-104 - [c40]Umamahesh Srinivas, Nasser M. Nasrabadi, Vishal Monga:
Graph-based multi-sensor fusion for acoustic signal classification. ICASSP 2013: 261-265 - [c39]Yuanming Suo, Minh Dao, Trac D. Tran, Umamahesh Srinivas, Vishal Monga:
Hierarchical sparse modeling using Spike and Slab priors. ICASSP 2013: 3103-3107 - [c38]Umamahesh Srinivas, Yuanming Suo, Minh Dao, Vishal Monga, Trac D. Tran:
Structured sparse priors for image classification. ICIP 2013: 3211-3215 - [c37]Umamahesh Srinivas, Hojjat Seyed Mousavi, Charles Jeon, Vishal Monga, Arthur Hattel, Bhushan Jayarao:
SHIRC: A simultaneous sparsity model for histopathological image representation and classification. ISBI 2013: 1118-1121 - [c36]Xuan Mo, Vishal Monga, Raja Bala, José A. Rodríguez-Serrano, Zhigang Fan, Aaron M. Burry:
Practical methods for sparsity based video anomaly detection. ITSC 2013: 955-960 - 2012
- [j13]Orhan Bulan, Vishal Monga, Gaurav Sharma:
Capacity Analysis For Orthogonal Halftone Orientation Modulation Channels. IEEE Trans. Image Process. 21(1): 405-411 (2012) - [j12]Vishal Monga, Raja Bala, Xuan Mo:
Design and Optimization of Color Lookup Tables on a Simplex Topology. IEEE Trans. Image Process. 21(4): 1981-1996 (2012) - [j11]Mu Li, Vishal Monga:
Robust Video Hashing via Multilinear Subspace Projections. IEEE Trans. Image Process. 21(10): 4397-4409 (2012) - [c35]Vishal Monga:
Session MP5b: Convex optimization in image and video analysis (invited). ACSCC 2012: 601-602 - [c34]Vishal Monga:
Session WA5b: Image and video classification. ACSCC 2012: 1967-1968 - [c33]Xuan Mo, Vishal Monga, Raja Bala, Zhigang Fan:
A joint sparsity model for video anomaly detection. ACSCC 2012: 1969-1973 - [c32]Pramod K. Vemulapalli, Vishal Monga, Sean N. Brennan
:
Optimally robust extrema filters for time series data. ACC 2012: 2189-2195 - [c31]Martin Maltz, Vishal Monga, Zhigang Fan:
Tensor decomposition for color printer model lookup table. Color Imaging: Displaying, Processing, Hardcopy, and Applications 2012: 82921B - [c30]Mu Li, Vishal Monga:
Robust video fingerprinting via structural graphical models. ICIP 2012: 249-252 - [c29]Umamahesh Srinivas, Yi Chen, Vishal Monga, Nasser M. Nasrabadi, Trac D. Tran:
Discriminative graphical models for sparsity-based hyperspectral target detection. IGARSS 2012: 1489-1492 - 2011
- [c28]Vishal Monga:
Session MA8b4: Image, video coding and analysis. ACSCC 2011: 222-224 - [c27]Umamahesh Srinivas, Vishal Monga, Yi Chen, Trac D. Tran:
Sparsity-based face recognition using discriminative graphical models. ACSCC 2011: 1204-1208 - [c26]Claude Fillion, Zhigang Fan, Vishal Monga:
Adaptive removal of background and white space from document images using seam categorization. Imaging and Printing in a Web 2.0 World 2011: 78790A - [c25]Divyanshu Vats, Vishal Monga, Umamahesh Srinivas, José M. F. Moura:
Scalable robust hypothesis tests using graphical models. ICASSP 2011: 3612-3615 - [c24]Umamahesh Srinivas, Vishal Monga, Raghu G. Raj:
Automatic target recognition using discriminative graphical models. ICIP 2011: 33-36 - [c23]Umamahesh Srinivas, Xuan Mo, Manu Parmar, Vishal Monga:
Image-adaptive Color Super-resolution. CIC 2011: 120-125 - [c22]Mu Li, Vishal Monga:
Desynchronization resilient video fingerprinting via randomized, low-rank tensor approximations. MMSP 2011: 1-6 - [i2]Yi Chen, Umamahesh Srinivas, Thong T. Do, Vishal Monga, Trac D. Tran:
Discriminative Local Sparse Representations for Robust Face Recognition. CoRR abs/1111.1947 (2011) - 2010
- [j10]Orhan Bulan, Gaurav Sharma, Vishal Monga:
Orientation Modulation for Data Hiding in Clustered-Dot Halftone Prints. IEEE Trans. Image Process. 19(8): 2070-2084 (2010) - [c21]Vishal Monga, Raja Bala, Claude Fillion:
The use of spatially based complexity measures towards color gamut mapping and image resizing. Color Imaging: Displaying, Processing, Hardcopy, and Applications 2010: 75280H - [c20]Vishal Monga, Raja Bala:
Algorithms for color look-up-table (LUT) design via joint optimization of node locations and output values. ICASSP 2010: 998-1001 - [c19]Kamil Senel
, Mehmet Kivanç Mihçak, Vishal Monga:
A learning framework for robust hashing of face images. ICIP 2010: 197-200
2000 – 2009
- 2009
- [c18]Vishal Monga, Raja Bala:
Shaped Local Regression and Its Application to Color Transforms. CIC 2009: 272-277 - [c17]Orhan Bulan, Vishal Monga, Gaurav Sharma:
High capacity color barcodes using dot orientation and color separability. Media Forensics and Security 2009: 725417 - [c16]Scott Deeann Chen, Vishal Monga, Pierre Moulin:
Meta-classifiers for multimodal document classification. MMSP 2009: 1-6 - 2008
- [j9]Vishal Monga, Shen-Ge Wang, Raja Bala:
Channel-separable halftone independent methods for color drift correction. J. Electronic Imaging 17(1): 013003 (2008) - [c15]Jon S. McElvain, Vishal Monga, Charles M. Hains, Manu Parmar:
Estimating printer misregistration from color shifts: a new paradigm. Color Imaging: Processing, Hardcopy, and Applications 2008: 680715 - [c14]Orhan Bulan, Gaurav Sharma, Vishal Monga:
On the capacity of orientation modulation halftone channels. ICASSP 2008: 1685-1688 - [c13]Orhan Bulan, Gaurav Sharma, Vishal Monga:
Adaptive decoding for halftone orientation-based data hiding. ICIP 2008: 1280-1283 - [c12]Vishal Monga, Raja Bala:
Sort-Select-Damp: An efficient strategy for color look-up table lattice design. CIC 2008: 247-253 - [c11]Orhan Bulan, Vishal Monga, Gaurav Sharma, Basak Oztan:
Data embedding in hardcopy images via halftone-dot orientation modulation. Security, Forensics, Steganography, and Watermarking of Multimedia Contents 2008: 68190C - [i1]Yucel Altug, Mehmet Kivanç Mihçak, Onur Özyesil, Vishal Monga:
Reliable Communications with Asymmetric Codebooks: An Information Theoretic Analysis of Robust Signal Hashing. CoRR abs/0809.1910 (2008) - 2007
- [j8]Vishal Monga, Mehmet Kivanç Mihçak:
Robust and Secure Image Hashing via Non-Negative Matrix Factorizations. IEEE Trans. Inf. Forensics Secur. 2(3-1): 376-390 (2007) - [j7]Vishal Monga, Niranjan Damera-Venkata, Brian L. Evans:
Design of Tone-Dependent Color-Error Diffusion Halftoning Systems. IEEE Trans. Image Process. 16(1): 198-211 (2007) - [c10]Vishal Monga, Shen-Ge Wang, Raja Bala:
Halftone independent methods for color drift correction. Color Imaging: Processing, Hardcopy, and Applications 2007: 649315 - [c9]Vishal Monga, Raja Bala:
Two-dimensional color correction: Recent advances. CIC 2007: 48-53 - 2006
- [j6]Vishal Monga, Arindam Banerjee, Brian L. Evans:
A clustering based approach to perceptual image hashing. IEEE Trans. Inf. Forensics Secur. 1(1): 68-79 (2006) - [j5]Vishal Monga, Brian L. Evans:
Perceptual Image Hashing Via Feature Points: Performance Evaluation and Tradeoffs. IEEE Trans. Image Process. 15(11): 3452-3465 (2006) - [c8]Vishal Monga, Mehmet Kivanç Mihçak:
Robust Image Hashing Via Non-Negative Matrix Factorizations. ICASSP (2) 2006: 225-228 - [c7]Oztan Harmanci, Vishal Monga, Mehmet Kivanç Mihçak:
Geometrically Invariant Image Watermarking via Robust Perceptual Hashes. ICIP 2006: 1397-1400 - 2005
- [j4]Raja Bala, Gaurav Sharma, Vishal Monga, Jean-Pierre Van de Capelle:
Two-dimensional transforms for device color correction and calibration. IEEE Trans. Image Process. 14(8): 1172-1186 (2005) - [j3]Niranjan Damera-Venkata, Jonathan Yen, Vishal Monga, Brian L. Evans:
Hardcopy image barcodes via block-error diffusion. IEEE Trans. Image Process. 14(12): 1977-1989 (2005) - [c6]Vishal Monga, Divyanshu Vats, Brian L. Evans:
Image Authentication Under Geometric Attacks Via Structure Matching. ICME 2005: 229-232 - 2004
- [c5]Raja Bala, Vishal Monga, Gaurav Sharma, Jean-Pierre Van de Capelle:
Two-dimensional transforms for device color calibration. Color Imaging: Processing, Hardcopy, and Applications 2004: 250-261 - [c4]Vishal Monga, Niranjan Damera-Venkata, Brian L. Evans:
Input-level-dependent approach to color error diffusion. Color Imaging: Processing, Hardcopy, and Applications 2004: 333-343 - [c3]Vishal Monga, Brian L. Evans:
Tone dependent color error diffusion. ICASSP (3) 2004: 101-104 - [c2]Vishal Monga, Brian L. Evans:
Robust perceptual image hashing using feature points. ICIP 2004: 677-680 - 2003
- [j2]Vishal Monga, Wilson S. Geisler
, Brian L. Evans:
Linear color-separable human visual system models for vector error diffusion halftoning. IEEE Signal Process. Lett. 10(4): 93-97 (2003) - [j1]N. Dantera-Venkata, Brian L. Evans, Vishal Monga:
Color error-diffusion halftoning. IEEE Signal Process. Mag. 20(4): 51-58 (2003) - [c1]Brian L. Evans, Vishal Monga, Niranjan Damera-Venkata:
Variations on error diffusion: retrospectives and future trends. Color Imaging: Processing, Hardcopy, and Applications 2003: 371-389
Coauthor Index
![](https://dblp1.uni-trier.de/img/cog.dark.24x24.png)
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