Performance evaluation of linear subspace methods for face recognition under illumination variation. - Ajay Jaiswal; Ramesh K. Agrawal; Nitin Kumar 001 (C3S2E, 2011)

A Hybrid of Principal Component Analysis and Partial Least Squares for Face Recognition across Pose. - Ajay Jaiswal; Nitin Kumar 001; Ramesh K. Agrawal (CIARP, 2012)

Performance evaluation of subspace methods to tackle small sample size problem in face recognition. - Nitin Kumar 001; Ajay Jaiswal; Ramesh K. Agrawal (ICACCI, 2012)

Statistical Framework for Facial Pose Classification. - Ajay Jaiswal; Nitin Kumar 001; R. K. Agrawal 001 (MICAI (1), 2012)

Local Linear Regression on Hybrid Eigenfaces for Pose Invariant Face Recognition. - Ajay Jaiswal; Nitin Kumar 001; R. K. Agrawal 001 (Int. J. Comput. Vis. Image Process., 2012)

A Comparative Study of Linear Discriminant and Linear Regression Based Methods for Expression Invariant Face Recognition. - Nitin Kumar 001; R. K. Agrawal 001; Ajay Jaiswal (SIRS, 2014)

Incremental and Decremental Exponential Discriminant Analysis for Face Recognition. - Nitin Kumar 001; R. K. Agrawal 001; Ajay Jaiswal (Int. J. Comput. Vis. Image Process., 2014)

Analysis and evaluation of regression-based methods for facial pose classification. - Ajay Jaiswal; Nitin Kumar 001; R. K. Agrawal 001 (Int. J. Appl. Pattern Recognit., 2015)

Block LDA via QR-decomposition for face recognition with single image per person. - Nitin Kumar 001; R. K. Agrawal 001 (Int. J. Knowl. Based Intell. Eng. Syst., 2015)

Salient Object Detection in Noisy Images. - Nitin Kumar 001; Maheep Singh; Mahesh Chandra Govil; Emmanuel S. Pilli; Ajay Jaiswal (Canadian AI, 2016)

Incremental and Decremental Nonparametric Discriminant Analysis for Face Recognition. - Nitin Kumar 001; Ramesh K. Agrawal; Ajay Jaiswal (Comput. Informatics, 2016)

Two-dimensional exponential discriminant analysis for small sample size in face recognition. - Nitin Kumar 001; R. K. Agrawal 001 (Int. J. Artif. Intell. Soft Comput., 2016)

A study of training free salient object detection methods in presence of noise. - Nitin Kumar 001; Maheep Singh; Surendra Singh; Abhimanyu Kumar (ICSIPA, 2017)

Design of ECC based authenticated group key agreement protocol using self-certified public keys. - Shalini Gupta; Abhimanyu Kumar; Nitin Kumar 001 (RAIT, 2018)

Random permutation principal component analysis for cancelable biometric recognition. - Nitin Kumar 001; Surendra Singh; Abhimanyu Kumar (Appl. Intell., 2018)

Thresholding in salient object detection: a survey. - Nitin Kumar 001 (Multim. Tools Appl., 2018)

Application of Artificial Electric Field Algorithm for Economic Load Dispatch Problem. - Anita; Anupam Yadav; Nitin Kumar 001 (SoCPaR, 2019)

Artificial Electric Field Algorithm for Solving Real Parameter CEC 2017 Benchmark Problems. - Anita; Anupam Yadav; Nitin Kumar 001 (SocProS (1), 2019)

Single Sample Face Recognition in the Last Decade: A Survey. - Nitin Kumar 001; Vaani Garg (Int. J. Pattern Recognit. Artif. Intell., 2019)

Multiclass Twin Support Vector Machine for plant species identification. - Neha Goyal; Kapil Gupta 001; Nitin Kumar 001 (Multim. Tools Appl., 2019)

A hybrid of active contour model and convex hull for automated brain tumor segmentation in multimodal MRI. - Shiv Naresh Shivhare; Nitin Kumar 001; Navjot Singh 002 (Multim. Tools Appl., 2019)

On Generating Cancelable Biometric Templates Using Visual Secret Sharing. - Manisha; Nitin Kumar 001 (SAI (3), 2020)

Cancelable Biometrics: a comprehensive survey. - Manisha; Nitin Kumar 001 (Artif. Intell. Rev., 2020)

Saliency Boosting: a novel framework to refine salient object detection. - Vivek Kumar Singh; Nitin Kumar 001; Suresh Madhavan (Artif. Intell. Rev., 2020)

Artificial electric field algorithm for engineering optimization problems. - Anita; Anupam Yadav; Nitin Kumar 001 (Expert Syst. Appl., 2020)

RP-LPP : a random permutation based locality preserving projection for cancelable biometric recognition. - Nitin Kumar 001; Manisha Rawat (Multim. Tools Appl., 2020)

A hybrid approach using color spatial variance and novel object position prior for salient object detection. - Vivek Kumar Singh; Nitin Kumar 001; Navjot Singh 002 (Multim. Tools Appl., 2020)

Saliency bagging: a novel framework for robust salient object detection. - Vivek Kumar Singh; Nitin Kumar 001 (Vis. Comput., 2020)

Incremental methods in face recognition: a survey. - Suresh Madhavan; Nitin Kumar 001 (Artif. Intell. Rev., 2021)

On solving leaf classification using linear regression. - Neha Goyal; Nitin Kumar 001; Kapil 001 (Multim. Tools Appl., 2021)

Tumor bagging: a novel framework for brain tumor segmentation using metaheuristic optimization algorithms. - Shiv Naresh Shivhare; Nitin Kumar 001 (Multim. Tools Appl., 2021)

CHELM: Convex Hull based Extreme Learning Machine for salient object detection. - Vivek Kumar Singh; Nitin Kumar 001 (Multim. Tools Appl., 2021)

SOFT: salient object detection based on feature combination using teaching-learning-based optimization. - Vivek Kumar Singh; Nitin Kumar 001 (Signal Image Video Process., 2021)

CBRW: a novel approach for cancelable biometric template generation based on 1-D random walk. - Nitin Kumar 001; Manisha (Appl. Intell., 2022)

Leaf Bagging: A novel meta heuristic optimization based framework for leaf identification. - Neha Goyal; Nitin Kumar 001; Kapil 001 (Multim. Tools Appl., 2022)

CBRC: a novel approach for cancelable biometric template generation using random permutation and Chinese Remainder Theorem. - Manisha; Nitin Kumar 001 (Multim. Tools Appl., 2022)

CoBRa: convex hull based random walks for salient object detection. - Vivek Kumar Singh; Nitin Kumar 001 (Multim. Tools Appl., 2022)

Lower-dimensional intrinsic structural representation of leaf images and plant recognition. - Neha Goyal; Nitin Kumar 001; Kapil Gupta 001 (Signal Image Video Process., 2022)

SURFBCS: speeded up robust features based fuzzy vault scheme in biometric cryptosystem. - Prabhjot Kaur; Nitin Kumar 001; Maheep Singh (J. Supercomput., 2023)

Biometric cryptosystems: a comprehensive survey. - Prabhjot Kaur; Nitin Kumar 001; Maheep Singh (Multim. Tools Appl., 2023)

Single sample face recognition using deep learning: a survey. - Vivek Tomar; Nitin Kumar 001; Ayush Raj Srivastava (Artif. Intell. Rev., 2023)

Bolstering Biometric Cryptosystems with Tailored Scale Invariance Approach. - Prabhjot Kaur; Nitin Kumar 001; Maheep Singh (ICCCNT, 2024)

On Generating Cancelable Biometric Template using Reverse of Boolean XOR. - Manisha; Nitin Kumar 001 (CoRR, 2024)

CBRW: A Novel Approach for Cancelable Biometric Template Generation based on. - Nitin Kumar 001; Manisha (CoRR, 2024)

SIFTBCS: scale invariant feature transform based fuzzy vault scheme in biometric cryptosystem. - Prabhjot Kaur; Nitin Kumar 001 (Multim. Tools Appl., 2024)

Region-based feature combination for robust salient object detection. - Vivek Kumar Singh; Nitin Kumar 001; Parma Nand (Multim. Tools Appl., 2024)

BRIEFBCS: binary robust independent elementary features based fuzzy vault scheme in BCS. - Prabhjot Kaur; Nitin Kumar 001 (Clust. Comput., 2024)

Single-sample face and ear recognition using virtual sample generation with 2D local patches. - Vivek Tomar; Nitin Kumar 001 (J. Supercomput., 2024)

Random permutation-based linear regression for cancelable biometrics. - Onkar Singh; Ajay Jaiswal; Nitin Kumar 001; Naveen Kumar (Expert Syst. J. Knowl. Eng., 2025)

Hyperbox-based virtual sample generation for single sample face and ear recognition. - Vivek Tomar; Nitin Kumar 001; Maroti Deshmukh; Maheep Singh (Signal Image Video Process., 2025)