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2020 – today
- 2023
[j7]Sanjiu Raja Brahma, Samayveer Singh, Deepak Kumar Gupta, Aruna Malik:
A reversible data hiding technique using lower magnitude error channel pair selection. Multim. Tools Appl. 82(6): 8467-8488 (2023)- [i29]Fatima Albreiki, Nidhal Belayouni, Deepak K. Gupta:
On Using Deep Learning Proxies as Forward Models in Deep Learning Problems. CoRR abs/2301.07102 (2023) - [i28]Deepak K. Gupta, Gowreesh Mago, Arnav Chavan, Dilip K. Prasad:
Patch Gradient Descent: Training Neural Networks on Very Large Images. CoRR abs/2301.13817 (2023) - [i27]Animesh Gupta, Irtiza Hasan, Dilip K. Prasad, Deepak K. Gupta:
Data-Efficient Training of CNNs and Transformers with Coresets: A Stability Perspective. CoRR abs/2303.02095 (2023) - [i26]Rohit Agarwal, Deepak K. Gupta, Alexander Horsch, Dilip K. Prasad:
Aux-Drop: Handling Haphazard Inputs in Online Learning Using Auxiliary Dropouts. CoRR abs/2303.05155 (2023) - 2022
- [j6]Geetanjali Dei, Deepak Kumar Gupta, Binod Kumar Sahu, Amitkumar Vidyakant Jha
, Bhargav Appasani, Hossam M. Zawbaa, Salah Kamel:
Improved Squirrel Search Algorithm Driven Cascaded 2DOF-PID-FOI Controller for Load Frequency Control of Renewable Energy Based Hybrid Power System. IEEE Access 10: 46372-46391 (2022) - [c23]Arnav Chavan, Rishabh Tiwari, Udbhav Bamba, Deepak K. Gupta:
Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-learning. CVPR 2022: 9841-9850 - [i25]Arnav Chavan, Rishabh Tiwari, Udbhav Bamba, Deepak K. Gupta:
Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-learning. CoRR abs/2206.01690 (2022) - [i24]Deepak K. Gupta, Udbhav Bamba, Abhishek Thakur, Akash Gupta, Suraj Sharan, Ertugrul Demir, Dilip K. Prasad:
UltraMNIST Classification: A Benchmark to Train CNNs for Very Large Images. CoRR abs/2206.12681 (2022) - [i23]Udbhav Bamba, Neeraj Anand, Dilip K. Prasad, Deepak K. Gupta:
MixBin: Towards Budgeted Binarization. CoRR abs/2211.06739 (2022) - [i22]Saksham Aggarwal, Taneesh Gupta, Pawan Kumar Sahu, Arnav Chavan, Rishabh Tiwari, Dilip K. Prasad, Deepak K. Gupta:
On designing light-weight object trackers through network pruning: Use CNNs or transformers? CoRR abs/2211.13769 (2022) - 2021
- [c22]Deepak K. Gupta, Massimo Marano, Raj Aurora, James Boyd, Satya S. Sahoo:
Parkinson and movement disorders ontology for clinically-oriented and clinicians-driven data mining of multi-center cohorts in Parkinson's disease. AMIA 2021 - [c21]Bhavesh Tangirala, Ishan Bhandari, Dániel László, Deepak K. Gupta, Rajat Mani Thomas, Devanshu Arya:
Livestock Monitoring with Transformer. BMVC 2021: 323 - [c20]Deepak K. Gupta, Devanshu Arya, Efstratios Gavves:
Rotation Equivariant Siamese Networks for Tracking. CVPR 2021: 12362-12371 - [c19]Bhargav Appasani, Amitkumar Vidyakant Jha, Deepak Kumar Gupta, Nicu Bizon, Avireni Srinivasulu:
An Improved Particle Swarm Optimization Technique and its Application in Load Frequency Control. ECAI 2021: 1-5 - [c18]Elias Kassapis, Georgi Dikov, Deepak K. Gupta, Cedric Nugteren:
Calibrated Adversarial Refinement for Stochastic Semantic Segmentation. ICCV 2021: 7037-7047 - [c17]Arnav Chavan, Udbhav Bamba, Rishabh Tiwari, Deepak K. Gupta:
Rescaling CNN Through Learnable Repetition of Network Parameters. ICIP 2021: 754-758 - [c16]Bryan G. Cardenas, Devanshu Arya, Deepak K. Gupta:
Generating Annotated High-Fidelity Images Containing Multiple Coherent Objects. ICIP 2021: 834-838 - [c15]Rishabh Tiwari, Udbhav Bamba, Arnav Chavan, Deepak K. Gupta:
ChipNet: Budget-Aware Pruning with Heaviside Continuous Approximations. ICLR 2021 - [i21]Arnav Chavan, Udbhav Bamba, Rishabh Tiwari, Deepak K. Gupta:
Rescaling CNN through Learnable Repetition of Network Parameters. CoRR abs/2101.05650 (2021) - [i20]Rishabh Tiwari, Udbhav Bamba, Arnav Chavan, Deepak K. Gupta:
ChipNet: Budget-Aware Pruning with Heaviside Continuous Approximations. CoRR abs/2102.07156 (2021) - [i19]Sumit Bhattacharya, Devanshu Arya, Debjani Bhowmick, Rajat Mani Thomas, Deepak Kumar Gupta:
Improving Solar Cell Metallization Designs using Convolutional Neural Networks. CoRR abs/2104.04017 (2021) - [i18]Devanshu Arya, Deepak K. Gupta, Stevan Rudinac, Marcel Worring:
Adaptive Neural Message Passing for Inductive Learning on Hypergraphs. CoRR abs/2109.10683 (2021) - [i17]Bhavesh Tangirala, Ishan Bhandari, Dániel László, Deepak K. Gupta, Rajat Mani Thomas, Devanshu Arya:
Livestock Monitoring with Transformer. CoRR abs/2111.00801 (2021) - [i16]Naman Khetan, Tushar Arora, Samee Ur Rehman, Deepak K. Gupta:
Implicit Equivariance in Convolutional Networks. CoRR abs/2111.14157 (2021) - 2020
- [c14]Max N. Bos, Rutger R. van de Leur, Jeroen F. Vranken, Deepak K. Gupta, Pim van der Harst, Pieter A. F. M. Doevendans, René van Es:
Automated Comprehensive Interpretation of 12-lead Electrocardiograms Using Pre-trained Exponentially Dilated Causal Convolutional Neural Networks. CinC 2020: 1-4 - [c13]Thijs P. Kuipers, Devanshu Arya, Deepak K. Gupta:
Hard Occlusions in Visual Object Tracking. ECCV Workshops (5) 2020: 299-314 - [c12]Efstratios Gavves, Ran Tao, Deepak K. Gupta, Arnold W. M. Smeulders:
Model Decay in Long-Term Tracking. ICPR 2020: 2685-2692 - [c11]Deepak K. Gupta, Efstratios Gavves, Arnold W. M. Smeulders:
Tackling Occlusion in Siamese Tracking with Structured Dropouts. ICPR 2020: 5804-5811 - [c10]Devanshu Arya, Richard Olij, Deepak K. Gupta, Ahmed El Gazzar, Guido van Wingen, Marcel Worring, Rajat Mani Thomas:
Fusing Structural and Functional MRIs using Graph Convolutional Networks for Autism Classification. MIDL 2020: 44-61 - [c9]Andreas Panteli, Deepak K. Gupta, Nathan de Bruijn, Efstratios Gavves:
Siamese Tracking of Cell Behaviour Patterns. MIDL 2020: 570-587 - [i15]Marco K. Swierstra, Deepak K. Gupta, Matthijs Langelaar:
Automated and Accurate Geometry Extraction and Shape Optimization of 3D Topology Optimization Results. CoRR abs/2004.05448 (2020) - [i14]Bryan G. Cardenas, Devanshu Arya, Deepak K. Gupta:
Generating Annotated High-Fidelity Images Containing Multiple Coherent Objects. CoRR abs/2006.12150 (2020) - [i13]Elias Kassapis, Georgi Dikov, Deepak K. Gupta, Cedric Nugteren:
Calibrated Adversarial Refinement for Multimodal Semantic Segmentation. CoRR abs/2006.13144 (2020) - [i12]Deepak K. Gupta, Efstratios Gavves, Arnold W. M. Smeulders:
Tackling Occlusion in Siamese Tracking with Structured Dropouts. CoRR abs/2006.16571 (2020) - [i11]Thijs P. Kuipers, Devanshu Arya, Deepak K. Gupta:
Hard Occlusions in Visual Object Tracking. CoRR abs/2009.04787 (2020) - [i10]Devanshu Arya, Deepak K. Gupta, Stevan Rudinac, Marcel Worring:
HyperSAGE: Generalizing Inductive Representation Learning on Hypergraphs. CoRR abs/2010.04558 (2020) - [i9]Deepak K. Gupta, Devanshu Arya, Efstratios Gavves:
Rotation Equivariant Siamese Networks for Tracking. CoRR abs/2012.13078 (2020)
2010 – 2019
- 2019
- [j5]Deepak Kumar Gupta, Vijay Kumar Gupta, Mahesh Chandra, Achyuta Nand Mishra:
New optimal variable step size-adaptive regularized-affine projection algorithm. Int. J. Speech Technol. 22(1): 179-189 (2019) - [j4]Deepak Kumar Gupta, Vijay Kumar Gupta, Mahesh Chandra, Bishwajeet Pandey:
Performance Analysis of MSFRLS-VFF Based Real-Time Adaptive Noise Canceller with RLS and APA Algorithms Using TMS320C6713 Processor. Wirel. Pers. Commun. 106(4): 2113-2127 (2019) - [i8]Deepak K. Gupta, Rohit K. Shrivastava, Suhas Phadke, Jeroen Goudswaard:
Unsupervised Automated Event Detection using an Iterative Clustering based Segmentation Approach. CoRR abs/1901.07222 (2019) - [i7]Efstratios Gavves, Ran Tao, Deepak K. Gupta, Arnold W. M. Smeulders:
Model Decay in Long-Term Tracking. CoRR abs/1908.01603 (2019) - [i6]Deepak K. Gupta, Nathan de Bruijn, Andreas Panteli, Efstratios Gavves:
Tracking-Assisted Segmentation of Biological Cells. CoRR abs/1910.08735 (2019) - 2018
- [j3]Deepak Kumar Gupta, Vijay Kumar Gupta, Mahesh Chandra, Gaurav Verma:
Real-Time Implementation of Parallel Architecture Based Noise Minimization from Speech Signals on FPGA. Wirel. Pers. Commun. 103(3): 1941-1963 (2018) - [i5]Deepak Kumar Gupta, Shruti Goyal:
Email Classification into Relevant Category Using Neural Networks. CoRR abs/1802.03971 (2018) - [i4]Debjani Bhowmick, Deepak K. Gupta, Saumen Maiti, Uma Shankar:
Velocity-Porosity Supermodel: A Deep Neural Networks based concept. CoRR abs/1804.07112 (2018) - [i3]Debjani Bhowmick, Deepak K. Gupta, Saumen Maiti, Uma Shankar:
Deep Autoassociative Neural Networks for Noise Reduction in Seismic data. CoRR abs/1805.00291 (2018) - [i2]Deepak K. Gupta, Fred van Keulen, Matthijs Langelaar:
Design and analysis adaptivity in multi-resolution topology optimization. CoRR abs/1811.09821 (2018) - 2017
- [j2]Md. Shad Akhtar, Deepak Kumar Gupta, Asif Ekbal, Pushpak Bhattacharyya:
Feature selection and ensemble construction: A two-step method for aspect based sentiment analysis. Knowl. Based Syst. 125: 116-135 (2017) - [i1]Deepak Kumar Gupta, Shubham Tripathi, Asif Ekbal, Pushpak Bhattacharyya:
SMPOST: Parts of Speech Tagger for Code-Mixed Indic Social Media Text. CoRR abs/1702.00167 (2017) - 2016
- [c8]Deepak Kumar Gupta, Shweta, Shubham Tripathi, Asif Ekbal, Pushpak Bhattacharyya:
A Hybrid Approach for Entity Extraction in Code-Mixed Social Media Data. FIRE (Working Notes) 2016: 298-303 - [c7]Monika Khandelwal, Deepak Kumar Gupta, Pradeep Bhale:
DoS attack detection technique using back propagation neural network. ICACCI 2016: 1064-1068 - 2015
- [c6]Deepak Kumar Gupta, Kandula Srikanth Reddy, Shweta, Asif Ekbal:
PSO-ASent: Feature Selection Using Particle Swarm Optimization for Aspect Based Sentiment Analysis. NLDB 2015: 220-233 - 2014
- [j1]Satya Sanket Sahoo, Samden D. Lhatoo, Deepak K. Gupta, Licong Cui, Meng Zhao, Catherine P. Jayapandian, Alireza Bozorgi, Guo-Qiang Zhang:
Epilepsy and seizure ontology: towards an epilepsy informatics infrastructure for clinical research and patient care. J. Am. Medical Informatics Assoc. 21(1): 82-89 (2014) - [c5]Deepak Kumar Gupta, Vijay Kumar Gupta, Mahesh Chandra:
Review Paper on Linear and Nonlinear Acoustic Echo Cancellation. FICTA (2) 2014: 465-473 - [c4]Deepak Kumar Gupta, Shubham Kumar, Asif Ekbal:
Machine Learning Approach for Language Identification & Transliteration. FIRE 2014: 60-64 - [c3]Deepak Kumar Gupta, Asif Ekbal:
IITP: Supervised Machine Learning for Aspect based Sentiment Analysis. SemEval@COLING 2014: 319-323 - 2012
- [c2]Satya Sanket Sahoo, Meng Zhao, Lingyun Luo, Alireza Bozorgi, Deepak K. Gupta, Samden D. Lhatoo, Guo-Qiang Zhang:
OPIC: Ontology-driven Patient Information Capturing System for Epilepsy. AMIA 2012 - [c1]Deepak K. Gupta, Yogesh Arora, Upendra K. Singh, Jai P. Gupta:
Recursive Ant Colony Optimization for estimation of parameters of a function. RAIT 2012: 448-454
Coauthor Index
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last updated on 2023-03-29 01:21 CEST by the dblp team
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