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Deepak Mishra 0002

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affiliation: Indian Institute of Space Science and Technology, Thiruvananthapuram, India

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2024
[j19]
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Nirmala Murali, Deepak Mishra:
Feature Compensation Network for Prototype-Based Cross-Modal Person Re-Identification. IEEE Access 12: 117994-118006 (2024)
[j18]
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Aswathy Prasannakumar, Deepak Mishra:
Deep Efficient Data Association for Multi-Object Tracking: Augmented with SSIM-Based Ambiguity Elimination. J. Imaging 10(7): 171 (2024)
[j17]
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Gayathri Girish, Deepak Mishra, Subrahamanian Moosath K. S.:
Utilising energy function and variational inference training for learning a graph neural network architecture. Mach. Learn. 113(3): 1219-1241 (2024)
[j16]
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G. Preethisree, V. Vivekanand, Deepak Mishra, R. Sethunadh:
Influence of sorting measures on similar segment grouping based denoising algorithms. Signal Image Video Process. 18(2): 1649-1660 (2024)
2023
[j15]
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V. Vivekanand, Deepak Mishra:
Performance measure for sparse recovery algorithms in compressed sensing perspective. Int. J. Data Sci. Anal. 15(4): 391-406 (2023)
[j14]
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V. Vivekanand, Deepak Mishra:
Framework for Segmented threshold ℓ0 gradient approximation based network for sparse signal recovery. Neural Networks 162: 425-442 (2023)
[j13]
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V. Vivekanand, Deepak Mishra:
Expendable and Distributed Measurement Scheme for Acquisition of Naturally Sparse Events. Wirel. Pers. Commun. 129(1): 681-702 (2023)
2022
[j12]
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Pallavi Venugopal Minimol, Deepak Mishra, Rama Krishna Sai Subrahmanyam Gorthi:
Guided MDNet tracker with guided samples. Vis. Comput. 38(3): 1135-1149 (2022)
2021
[j11]
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Priya Mariam Raju, Deepak Mishra, Prerana Mukherjee:
DA-SACOT: Domain adaptive-segmentation guided attention for correlation based object tracking. Image Vis. Comput. 112: 104215 (2021)
[j10]
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Arya Krishnan, Tony Thomas, Deepak Mishra:
Finger Vein Pulsation-Based Biometric Recognition. IEEE Trans. Inf. Forensics Secur. 16: 5034-5044 (2021)
2020
[j9]
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Aswathy Prasanna Kumar, Deepak Mishra:
Harnessing feedback region proposals for multi-object tracking. IET Comput. Vis. 14(7): 434-442 (2020)
[j8]
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V. Vivekanand, Deepak Mishra:
Feasibility of using AM3358 beagle board for networked realtime signal acquisition. Internet Things 11: 100199 (2020)
[j7]
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Soumya Sara John, Deepak Mishra, Sheeba J. Rani:
Retraining a Pruned Network: A Unified Theory of Time Complexity. SN Comput. Sci. 1(4): 203 (2020)
2019
[j6]
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Haribabu Kandi, Ayushi Jain, Swetha Velluva Chathoth, Deepak Mishra, Gorthi R. K. Sai Subrahmanyam:
Incorporating rotational invariance in convolutional neural network architecture. Pattern Anal. Appl. 22(3): 935-948 (2019)
[j5]
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Priya Mariam Raju, Deepak Mishra, Rama Krishna Sai Subrahmanyam Gorthi:
Detection based long term tracking in correlation filter trackers. Pattern Recognit. Lett. 122: 79-85 (2019)
2017
[j4]
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Haribabu Kandi, Deepak Mishra, Gorthi R. K. Sai Subrahmanyam:
Exploring the learning capabilities of convolutional neural networks for robust image watermarking. Comput. Secur. 65: 247-268 (2017)
[j3]
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Madan Kumar Rapuru, Sumithra Kakanuru, Pallavi M. Venugopal, Deepak Mishra, Gorthi R. K. Sai Subrahmanyam:
Correlation-Based Tracker-Level Fusion for Robust Visual Tracking. IEEE Trans. Image Process. 26(10): 4832-4842 (2017)
2016
[j2]
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Vinitha Ramdas, Gorthi R. K. Sai Subrahmanyam, Deepak Mishra:
Simultaneous speech coding and de-noising in a dictionary based quantized CS framework. Int. J. Speech Technol. 19(3): 509-523 (2016)
2015
[j1]
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L. Vidya, V. Vivekanand, U. Shyam Kumar, Deepak Mishra:
RBF-network based sparse signal recovery algorithm for compressed sensing reconstruction. Neural Networks 63: 66-78 (2015)

Conference and Workshop Papers

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2023
[c41]
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Ashish Kumar Gupta, Meghna Barnwal, Deepak Mishra:
A Contrastive Learning Approach for Infrared-Visible Image Fusion. PReMI 2023: 199-208
2022
[c40]
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  - conf/cvip/Gandikota022
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Rohit Gandikota, Deepak Mishra:
HD-VAE-GAN: Hiding Data with Variational Autoencoder Generative Adversarial Networks. CVIP (1) 2022: 29-43
[c39]
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Rohit Gandikota, Deepak Mishra:
Share-GAN: A Novel Shared Task Training in Generative Adversarial Networks for Data Hiding. CVIP (1) 2022: 44-57
[c38]
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Rohit Gandikota, Deepak Mishra, Nik Bear Brown:
Hiding Video in Images: Harnessing Adversarial Learning on Deep 3D-Spatio-Temporal Convolutional Neural Networks. CVIP (1) 2022: 58-71
[c37]
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A. V. Chithra, Deepak Mishra:
Multi-modality Fusion for Siamese Network Based RGB-T Tracking (mfSiamTrack). CVIP (1) 2022: 406-420
[c36]
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Rohit Gandikota, Deepak Mishra:
Dismon-Gan: 24×7 All-Weather Optical Domain Surveillance Using Progressively Growing Adversarial Networks with Patch Discriminator. IGARSS 2022: 501-504
2021
[c35]
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Medini Singh, Deepak Mishra, M. Vanidevi:
Sparse Autoencoder for Sparse Code Multiple Access. ICAIIC 2021: 353-358
2020
[c34]
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Vidya M. S., Sunitha K., Deepa S. Kumar, Deepak Mishra, Ashok S.:
Gaussian Process Regression based Model for Prediction of Discharge Voltage of Air Gaps under Positive Polarity Lightning Impulse Voltages. CCECE 2020: 1-6
2019
[c33]
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Minha Mubarak, Thomas James Thomas, J. Sheeba Rani, Deepak Mishra:
Higher order Dictionary Learning for Compressed Sensing based Dynamic MRI reconstruction. BMVC 2019: 190
[c32]
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Minha Mubarak, Thomas James Thomas, J. Sheeba Rani, Deepak Mishra:
Tensor Based Dictionary Learning for Compressive Sensing MRI Reconstruction. CVIP (1) 2019: 134-145
[c31]
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Pinaki Ranjan Sarkar, Priya Prabhakar, Deepak Mishra, Gorthi R. K. S. S. Manyam:
Towards Automated Breast Mass Classification using Deep Learning Framework. DSAA 2019: 453-462
[c30]
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Soumya Sara John, Deepak Mishra, J. Sheeba Rani:
Retraining Conditions: How Much to Retrain a Network After Pruning? PReMI (1) 2019: 150-160
[c29]
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Rohit Gandikota, Deepak Mishra:
Hiding Audio in Images: A Deep Learning Approach. PReMI (2) 2019: 389-399
[c28]
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  - conf/premi/SelvamM19
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Srinika Selvam, Deepak Mishra:
Multi-scale Attention Aided Multi-Resolution Network for Human Pose Estimation. PReMI (1) 2019: 461-472
[c27]
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Rohit Gandikota, Deepak Mishra:
How You See Me: Understanding Convolutional Neural Networks. TENCON 2019: 2069-2073
[c26]
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  - conf/whispers/PoojaN019
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Kumari Pooja, Rama Rao Nidamanuri, Deepak Mishra:
Multi-Scale Dilated Residual Convolutional Neural Network for Hyperspectral Image Classification. WHISPERS 2019: 1-5
2018
[c25]
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  - conf/accv/RoutR0G18
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Litu Rout, Priya Mariam Raju, Deepak Mishra, Rama Krishna Sai Subrahmanyam Gorthi:
Learning Rotation Adaptive Correlation Filters in Robust Visual Object Tracking. ACCV (2) 2018: 646-661
[c24]
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V. C. Swetha, Deepak Mishra, Rama Krishna Sai Subrahmanyam Gorthi:
Eigenvector Orientation Corrected LeNet for Digit Recognition. CVIP (1) 2018: 313-324
[c23]
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Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Tomás Vojír, Goutam Bhat, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Álvaro Iglesias-Arias, A. Aydin Alatan, Abel González-García, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Andrej Muhic, Anfeng He, Arnold W. M. Smeulders, Asanka G. Perera, Bo Li, Boyu Chen, Changick Kim, Changsheng Xu, Changzhen Xiong, Cheng Tian, Chong Luo, Chong Sun, Cong Hao, Daijin Kim, Deepak Mishra, Deming Chen, Dong Wang, Dongyoon Wee, Efstratios Gavves, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Fan Yang, Fei Zhao, Feng Li, Francesco Battistone, George De Ath, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Haibin Ling, Hamed Kiani Galoogahi, Hankyeol Lee, Haojie Li, Haojie Zhao, Heng Fan, Honggang Zhang, Horst Possegger, Houqiang Li, Huchuan Lu, Hui Zhi, Huiyun Li, Hyemin Lee, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jaime Spencer Martin, Javaan Singh Chahl, Jin Young Choi, Jing Li, Jinqiao Wang, Jinqing Qi, Jinyoung Sung, Joakim Johnander, João F. Henriques, Jongwon Choi, Joost van de Weijer, Jorge Rodríguez Herranz, José M. Martínez, Josef Kittler, Junfei Zhuang, Junyu Gao, Klemen Grm, Lichao Zhang, Lijun Wang, Lingxiao Yang, Litu Rout, Liu Si, Luca Bertinetto, Lutao Chu, Manqiang Che, Mario Edoardo Maresca, Martin Danelljan, Ming-Hsuan Yang, Mohamed H. Abdelpakey, Mohamed S. Shehata, Myunggu Kang, Namhoon Lee, Ning Wang, Ondrej Miksik, Payman Moallem, Pablo Vicente-Moñivar, Pedro Senna, Peixia Li, Philip H. S. Torr, Priya Mariam Raju, Ruihe Qian, Qiang Wang, Qin Zhou, Qing Guo, Rafael Martin Nieto, Rama Krishna Sai Subrahmanyam Gorthi, Ran Tao, Richard Bowden, Richard M. Everson, Runling Wang, Sangdoo Yun, Seokeon Choi, Sergio Vivas, Shuai Bai, Shuangping Huang, Sihang Wu, Simon Hadfield, Siwen Wang, Stuart Golodetz, Ming Tang, Tianyang Xu, Tianzhu Zhang, Tobias Fischer, Vincenzo Santopietro, Vitomir Struc, Wei Wang, Wangmeng Zuo, Wei Feng, Wei Wu, Wei Zou, Weiming Hu, Wengang Zhou, Wenjun Zeng, Xiaofan Zhang, Xiaohe Wu, Xiao-Jun Wu, Xinmei Tian, Yan Li, Yan Lu, Yee Wei Law, Yi Wu, Yiannis Demiris, Yicai Yang, Yifan Jiao, Yuhong Li, Yunhua Zhang, Yuxuan Sun, Zheng Zhang, Zheng Zhu, Zhen-Hua Feng, Zhihui Wang, Zhiqun He:
The Sixth Visual Object Tracking VOT2018 Challenge Results. ECCV Workshops (1) 2018: 3-53
[c22]
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Litu Rout, Deepak Mishra, Rama Krishna Sai Subrahmanyam Gorthi:
WAEF: Weighted Aggregation with Enhancement Filter for Visual Object Tracking. ECCV Workshops (1) 2018: 83-99
[c21]
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V. C. Swetha, Deepak Mishra, Gorthi R. K. Sai Subrahmanyam:
Scale and Rotation Corrected CNNs (SRC-CNNs) for Scale and Rotation Invariant Character Recognition: SRC-CNN for Scale and Rotation Invariant Character Recognition. ICVGIP 2018: 20:1-20:8
[c20]
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Priya Mariam Raju, Deepak Mishra, Gorthi Rama Krishna Sai Subrahmanyam:
Bag of Visual Words based Correlation Filter Tracker (BoVW-CFT). ICVGIP 2018: 74:1-74:9
[c19]
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Litu Rout, Sidhartha, Deepak Mishra, Rama Krishna Sai Subrahmanyam Gorthi:
Rotation Adaptive Visual Object Tracking with Motion Consistency. WACV 2018: 1047-1055
2017
[c18]
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P. L. Aparna, Rahul G. Waghmare, Deepak Mishra, Rama Krishna Sai Subrahmanyam Gorthi:
Effective Denoising with Non-local Means Filter for Reliable Unwrapping of Digital Holographic Interferometric Fringes. CVIP (1) 2017: 13-24
[c17]
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Pilli Madalasa, Gorthi R. K. Sai Subrahmanyam, Tapas Ranjan Martha, Rama Rao Nidamanuri, Deepak Mishra:
Bayesian Approach for Landslide Identification from High-Resolution Satellite Images. CVIP (2) 2017: 13-24
[c16]
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Pinaki Ranjan Sarkar, Deepak Mishra, Gorthi R. K. Sai Subrahmanyam:
Classification of Breast Masses Using Convolutional Neural Network as Feature Extractor and Classifier. CVIP (2) 2017: 25-36
[c15]
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Ayushi Jain, Gorthi R. K. Sai Subrahmanyam, Deepak Mishra:
Rotation Invariant Digit Recognition Using Convolutional Neural Network. CVIP (1) 2017: 91-102
[c14]
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Pinaki Ranjan Sarkar, Deepak Mishra, Gorthi R. K. S. S. Manyam:
Improving Isolated Bangla Compound Character Recognition Through Feature-map Alignment. ICAPR 2017: 1-5
[c13]
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Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Tomas Vojir, Gustav Häger, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Andrej Muhic, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Antoine Manzanera, Antoine Tran, A. Aydin Alatan, Bogdan Mocanu, Boyu Chen, Chang Huang, Changsheng Xu, Chong Sun, Dalong Du, David Zhang, Dawei Du, Deepak Mishra, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Francesco Battistone, Gorthi R. K. Sai Subrahmanyam, Goutam Bhat, Guan Huang, Guilherme Sousa Bastos, Guna Seetharaman, Hongliang Zhang, Houqiang Li, Huchuan Lu, Isabela Drummond, Jack Valmadre, Jae-chan Jeong, Jaeil Cho, Jae-Yeong Lee, Jana Noskova, Jianke Zhu, Jin Gao, Jingyu Liu, Ji-Wan Kim, João F. Henriques, José M. Martínez, Junfei Zhuang, Junliang Xing, Junyu Gao, Kai Chen, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Kris M. Kitani, Lei Zhang, Lijun Wang, Lingxiao Yang, Longyin Wen, Luca Bertinetto, Mahdieh Poostchi, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Ming-Hsuan Yang, Nianhao Xie, Ning Wang, Ondrej Miksik, Payman Moallem, Pallavi M. Venugopal, Pedro Senna, Philip H. S. Torr, Qiang Wang, Qifeng Yu, Qingming Huang, Rafael Martin Nieto, Richard Bowden, Risheng Liu, Ruxandra Tapu, Simon Hadfield, Siwei Lyu, Stuart Golodetz, Sunglok Choi, Tianzhu Zhang, Titus B. Zaharia, Vincenzo Santopietro, Wei Zou, Weiming Hu, Wenbing Tao, Wenbo Li, Wengang Zhou, Xianguo Yu, Xiao Bian, Yang Li, Yifan Xing, Yingruo Fan, Zheng Zhu, Zhipeng Zhang, Zhiqun He:
The Visual Object Tracking VOT2017 Challenge Results. ICCV Workshops 2017: 1949-1972
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Pallavi M. Venugopal, Deepak Mishra, Gorthi R. K. Sai Subrahmanyam:
Computationally efficient deep tracker: Guided MDNet. NCC 2017: 1-6
[c11]
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  - conf/premi/JainSM17
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Ayushi Jain, Gorthi R. K. Sai Subrahmanyam, Deepak Mishra:
Stacked Features Based CNN for Rotation Invariant Digit Classification. PReMI 2017: 527-533
2016
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Kumar Rohit, Gorthi R. K. Sai Subrahmanyam, Deepak Mishra:
Applicability of Self-Organizing Maps in Content-Based Image Classification. CVIP (1) 2016: 309-321
[c9]
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Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin, Tomás Vojír, Gustav Häger, Alan Lukezic, Gustavo Fernández, Abhinav Gupta, Alfredo Petrosino, Alireza Memarmoghadam, Álvaro García-Martín, Andrés Solís Montero, Andrea Vedaldi, Andreas Robinson, Andy Jinhua Ma, Anton Varfolomieiev, A. Aydin Alatan, Aykut Erdem, Bernard Ghanem, Bin Liu, Bohyung Han, Brais Martínez, Chang-Ming Chang, Changsheng Xu, Chong Sun, Daijin Kim, Dapeng Chen, Dawei Du, Deepak Mishra, Dit-Yan Yeung, Erhan Gundogdu, Erkut Erdem, Fahad Shahbaz Khan, Fatih Porikli, Fei Zhao, Filiz Bunyak, Francesco Battistone, Gao Zhu, Giorgio Roffo, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Guna Seetharaman, Henry Medeiros, Hongdong Li, Honggang Qi, Horst Bischof, Horst Possegger, Huchuan Lu, Hyemin Lee, Hyeonseob Nam, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jae-chan Jeong, Jaeil Cho, Jae-Yeong Lee, Jianke Zhu, Jiayi Feng, Jin Gao, Jin Young Choi, Jingjing Xiao, Ji-Wan Kim, Jiyeoup Jeong, João F. Henriques, Jochen Lang, Jongwon Choi, José M. Martínez, Junliang Xing, Junyu Gao, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Krystian Mikolajczyk, Lei Qin, Lijun Wang, Longyin Wen, Luca Bertinetto, Madan Kumar Rapuru, Mahdieh Poostchi, Mario Edoardo Maresca, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Michael Arens, Michel F. Valstar, Ming Tang, Mooyeol Baek, Muhammad Haris Khan, Naiyan Wang, Nana Fan, Noor Al-Shakarji, Ondrej Miksik, Osman Akin, Payman Moallem, Pedro Senna, Philip H. S. Torr, Pong C. Yuen, Qingming Huang, Rafael Martin Nieto, Rengarajan Pelapur, Richard Bowden, Robert Laganière, Rustam Stolkin, Ryan Walsh, Sebastian Bernd Krah, Shengkun Li, Shengping Zhang, Shizeng Yao, Simon Hadfield, Simone Melzi, Siwei Lyu, Siyi Li, Stefan Becker, Stuart Golodetz, Sumithra Kakanuru, Sunglok Choi, Tao Hu, Thomas Mauthner, Tianzhu Zhang, Tony P. Pridmore, Vincenzo Santopietro, Weiming Hu, Wenbo Li, Wolfgang Hübner, Xiangyuan Lan, Xiaomeng Wang, Xin Li, Yang Li, Yiannis Demiris, Yifan Wang, Yuankai Qi, Zejian Yuan, Zexiong Cai, Zhan Xu, Zhenyu He, Zhizhen Chi:
The Visual Object Tracking VOT2016 Challenge Results. ECCV Workshops (2) 2016: 777-823
[c8]
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Abhishek Kumar, S. Nithin Shrivatsav, Gorthi R. K. Sai Subrahmanyam, Deepak Mishra:
Application of transfer learning in RGB-D object recognition. ICACCI 2016: 580-584
[c7]
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Sumithra Kakanuru, Madan Kumar Rapuru, Deepak Mishra, Rama Krishna Sai Subrahmanyam Gorthi:
Complementary tracker's fusion for robust visual tracking. ICVGIP 2016: 51:1-51:8
[c6]
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Haribabu Kandi, Deepak Mishra, Gorthi R. K. Sai Subrahmanyam:
A differential excitation based rotational invariance for convolutional neural networks. ICVGIP 2016: 70:1-70:8
2015
[c5]
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P. Ram Sukumar, Rahul G. Waghmare, Rakesh Kumar Singh, Gorthi R. K. Sai Subrahmanyam, Deepak Mishra:
Phase unwrapping with Kalman filter based denoising in digital holographic interferometry. ICACCI 2015: 2256-2260
[c4]
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  - conf/icapr/CGM15
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Preetha C, Gorthi R. K. Sai Subrahmanyam, Deepak Mishra:
Compressive Sensing framework for simultaneous compression and despeckling of SAR images. ICAPR 2015: 1-6
[c3]
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Jay Shah, Gorthi R. K. Sai Subrahmanyam, Deepak Mishra:
Integrated algorithm for different tracking challenges. NCVPRIPG 2015: 1-4
[c2]
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  - conf/sirs/ChatterjeeMG15
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Ankush Chatterjee, Deepak Mishra, Gorthi R. K. Sai Subrahmanyam:
Enhancing Face Recognition Under Unconstrained Background Clutter Using Color Based Segmentation. SIRS 2015: 51-62
2014
[c1]
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  - conf/ncc/VivekanandVKM14
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V. Vivekanand, L. Vidya, U. Shyam Kumar, Deepak Mishra:
Radial basis function cascade network for Sparse signal Recovery (RASR). NCC 2014: 1-5

Informal and Other Publications

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2019
[i3]
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Litu Rout, Priya Mariam Raju, Deepak Mishra, Rama Krishna Sai Subrahmanyam Gorthi:
Learning Rotation Adaptive Correlation Filters in Robust Visual Object Tracking. CoRR abs/1906.01551 (2019)
2018
[i2]
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  - journals/corr/abs-1811-08152
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Rohit Gandikota, Deepak Mishra:
How You See Me. CoRR abs/1811.08152 (2018)
2017
[i1]
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  - journals/corr/abs-1709-06057
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Litu Rout, Sidhartha, Gorthi R. K. S. S. Manyam, Deepak Mishra:
Rotation Adaptive Visual Object Tracking with Motion Consistency. CoRR abs/1709.06057 (2017)

Coauthor Index

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