A New Distance Measure for Face Recognition System. - Aditya Nigam; Phalguni Gupta (ICIG, 2009)

Comparing human faces using edge weighted dissimilarity measure. - Aditya Nigam; Phalguni Gupta (ICARCV, 2010)

Finger Knuckleprint Based Recognition System Using Feature Tracking. - Aditya Nigam; Phalguni Gupta (CCBR, 2011)

An Efficient Finger-Knuckle-Print Based Recognition System Fusing SIFT and SURF Matching Scores. - G. S. Badrinath; Aditya Nigam; Phalguni Gupta (ICICS, 2011)

An Efficient Pose Invariant Face Recognition System. - Jeet Kumar; Aditya Nigam; Surya Prakash 001; Phalguni Gupta (SocProS (2), 2011)

Iris Recognition Using Consistent Corner Optical Flow. - Aditya Nigam; Phalguni Gupta (ACCV (1), 2012)

Iris Segmentation Using Improved Hough Transform. - Amit Bendale; Aditya Nigam; Surya Prakash 001; Phalguni Gupta (ICIC (3), 2012)

An Efficient Algorithm for De-duplication of Demographic Data. - Vandana Dixit Kaushik; Amit Bendale; Aditya Nigam; Phalguni Gupta (ICIC (1), 2012)

Four Slap Fingerprint Segmentation. - Nishant Singh; Aditya Nigam; Puneet Gupta 002; Phalguni Gupta (ICIC (2), 2012)

Palmprint Recognition Using Geometrical and Statistical Constraints. - Aditya Nigam; Phalguni Gupta (SocProS, 2012)

Age-Invariant Face Recognition Using Shape Transformation. - Shubham Jain; Aditya Nigam; Phalguni Gupta (ICIC (1), 2013)

Multimodal Personal Authentication System Fusing Palmprint and Knuckleprint. - Aditya Nigam; Phalguni Gupta (ICIC (3), 2013)

Iris Classification Based on Its Quality. - Aditya Nigam; Anvesh T.; Phalguni Gupta (ICIC (1), 2013)

Quality assessment of knuckleprint biometric images. - Aditya Nigam; Phalguni Gupta (ICIP, 2013)

Robust Ear Recognition Using Gradient Ordinal Relationship Pattern. - Aditya Nigam; Phalguni Gupta (ACCV Workshops (3), 2014)

An automated multimodal biometric system and fusion. - Yogesh Kumar; Aditya Nigam; Kamlesh Tiwari; Phalguni Gupta (CIBIM, 2014)

TARC: A novel score fusion scheme for multimodal biometric systems. - Kamlesh Tiwari; Aditya Nigam; Phalguni Gupta (CIBIM, 2014)

Iris recognition using block local binary patterns and relational measures. - Aditya Nigam; Vamshi Krishna; Amit Bendale; Phalguni Gupta (IJCB, 2014)

Multimodal Personal Authentication Using Iris and Knuckleprint. - Aditya Nigam; Phalguni Gupta (ICIC (1), 2014)

3D Face Recognition using Kinect. - Rahul Ajmera; Aditya Nigam; Phalguni Gupta (ICVGIP, 2014)

Efficient Iris Recognition System Using Relational Measures. - Aditya Nigam; Lovish; Amit Bendale; Phalguni Gupta (IWCF, 2014)

Robust Contact Lens Detection Using Local Phase Quantization and Binary Gabor Pattern. - Lovish; Aditya Nigam; Balender Kumar; Phalguni Gupta (CAIP (1), 2015)

Iris Recognition Using Discrete Cosine Transform and Relational Measures. - Aditya Nigam; Balender Kumar; Jyoti Triyar; Phalguni Gupta (CAIP (2), 2015)

Pose and illumination invariant face recognition using binocular stereo 3D reconstruction. - Aditya Nigam; Gitesh Chhalotre; Phalguni Gupta (NCVPRIPG, 2015)

Tri-modal biometric fusion for human authentication by tracking Differential Code Pattern. - Aditya Nigam; Phalguni Gupta (NCVPRIPG, 2015)

Fusion of Palmprint and Finger-Knuckle-Print for Human Personal Recognition. - Aditya Nigam; Parvez Khan; Phalguni Gupta (SSCI, 2015)

Designing an accurate hand biometric based authentication system fusing finger knuckleprint and palmprint. - Aditya Nigam; Phalguni Gupta (Neurocomputing, 2015)

Fully Automated Soft Contact Lens Detection from NIR Iris Images. - Balender Kumar; Aditya Nigam; Phalguni Gupta (ICPRAM, 2016)

Automated brain tractography segmentation using curvature points. - Vedang Patel; Anand Parmar; Arnav Bhavsar; Aditya Nigam (ICVGIP, 2016)

Automated Soft Contact Lens Detection using Gradient based Information. - Balender Kumar; Aditya Nigam; Phalguni Gupta (VISIGRAPP (3: VISAPP), 2016)

Finger-Knuckle-Print ROI Extraction using Curvature Gabor Filter for Human Authentication. - Aditya Nigam; Phalguni Gupta (VISIGRAPP (3: VISAPP), 2016)

Multiple texture information fusion for finger-knuckle-print authentication system. - Aditya Nigam; Kamlesh Tiwari; Phalguni Gupta (Neurocomputing, 2016)

UBSegNet: Unified Biometric Region of Interest Segmentation Network. - Ranjeet Ranjan Jha; Daksh Thapar; Shreyas Malakarjun Patil; Aditya Nigam (ACPR, 2017)

Object Triggered Egocentric Video Summarization. - Samriddhi Jain; Renu M. Rameshan; Aditya Nigam (CAIP (2), 2017)

Deformable multi-scale scheme for biometric personal identification. - Gaurav Jaswal; Ravinder Nath; Aditya Nigam (ICIP, 2017)

Finger knuckle image based personal authentication using DeepMatching. - Gaurav Jaswal; Aditya Nigam; Ravinder Nath (ISBA, 2017)

IPSegNet : Deep Convolutional Neural Network Based Segmentation Framework for Iris and Pupil. - Shreyas Malakarjun Patil; Ranjeet Ranjan Jha; Aditya Nigam (SITIS, 2017)

BrainSegNet : A Segmentation Network for Human Brain Fiber Tractography Data into Anatomically Meaningful Clusters. - Tushar Gupta; Shreyas Malakarjun Patil; Mukkaram Tailor; Daksh Thapar; Aditya Nigam (CoRR, 2017)

Siamese LSTM based Fiber Structural Similarity Network (FS2Net) for Rotation Invariant Brain Tractography Segmentation. - Shreyas Malakarjun Patil; Aditya Nigam; Arnav Bhavsar; Chiranjoy Chattopadhyay (CoRR, 2017)

DeepKnuckle: revealing the human identity. - Gaurav Jaswal; Aditya Nigam; Ravinder Nath (Multim. Tools Appl., 2017)

Indoor-Outdoor Scene Classification with Residual Convolutional Neural Network. - Seema Kumari; Ranjeet Ranjan Jha; Arnav Bhavsar; Aditya Nigam (CVIP (2), 2018)

Encapsulating the Impact of Transfer Learning, Domain Knowledge and Training Strategies in Deep-Learning Based Architecture: A Biometric Based Case Study. - Avantika Singh; Aditya Nigam (CVPR Workshops, 2018)

Cancelable Knuckle Template Generation Based on LBP-CNN. - Avantika Singh; Shreya Hasmukh Patel; Aditya Nigam (ECCV Workshops (4), 2018)

MR-Srnet: Transformation of Low Field MR Images to High Field MR Images. - Prabhjot Kaur; Aditya Sharma; Aditya Nigam; Arnav Bhavsar (ICIP, 2018)

Association Learning based Hybrid Model for Cloud Workload Prediction. - Siddhant Kumar; Neha Muthiyan; Shaifu Gupta; Dileep Aroor Dinesh; Aditya Nigam (IJCNN, 2018)

All-Conv Net for Bird Activity Detection: Significance of Learned Pooling. - Arjun Pankajakshan; Anshul Thakur; Daksh Thapar; Padmanabhan Rajan; Aditya Nigam (INTERSPEECH, 2018)

GHCLNet: A generalized hierarchically tuned contact lens detection network. - Avantika Singh; Vishesh Mistry; Dhananjay Yadav; Aditya Nigam (ISBA, 2018)

VGR-net: A view invariant gait recognition network. - Daksh Thapar; Aditya Nigam; Divyansh Aggarwal; Punjal Agarwal (ISBA, 2018)

Learning to Decode 7T-Like MR Image Reconstruction from 3T MR Images. - Aditya Sharma; Prabhjot Kaur; Aditya Nigam; Arnav Bhavsar (DLMIA/ML-CDS@MICCAI, 2018)

DeepPalm-A Unified Framework for Personal Human Authentication. - Gaurav Jaswal; Amit Kaul; Ravinder Nath; Aditya Nigam (SPCOM, 2018)

Single-sensor hand-vein multimodal biometric recognition using multiscale deep pyramidal approach. - Shruti Bhilare; Gaurav Jaswal; Vivek Kanhangad; Aditya Nigam (Mach. Vis. Appl., 2018)

Finger Biometrics for e-Health Security. - Gaurav Jaswal; Aditya Nigam; Ravinder Nath (Handbook of Multimedia Information Security, 2019)

VStegNET: Video Steganography Network using Spatio-Temporal features and Micro-Bottleneck. - Aayush Mishra; Suraj Kumar; Aditya Nigam; Saiful Islam (BMVC, 2019)

FS2Net: Fiber Structural Similarity Network (FS2Net) for Rotation Invariant Brain Tractography Segmentation Using Stacked LSTM Based Siamese Network. - Ranjeet Ranjan Jha; Shreyas Malakarjun Patil; Aditya Nigam; Arnav Bhavsar (CAIP (2), 2019)

Real Time Object Detection on Aerial Imagery. - Raghav Sharma; Rohit Pandey; Aditya Nigam (CAIP (1), 2019)

Fabric Classification and Matching Using CNN and Siamese Network for E-commerce. - Chandrakant Sonawane; Dipendra Pratap Singh; Raghav Sharma; Aditya Nigam; Arnav Bhavsar (CAIP (2), 2019)

AUTODEPTH: Single Image Depth Map Estimation via Residual CNN Encoder-Decoder and Stacked Hourglass. - Seema Kumari; Ranjeet Ranjan Jha; Arnav Bhavsar; Aditya Nigam (ICIP, 2019)

Learning Domain Specific Features using Convolutional Autoencoder: A Vein Authentication Case Study using Siamese Triplet Loss Network. - Manish Agnihotri; Aditya Rathod; Daksh Thapar; Gaurav Jaswal; Kamlesh Tiwari; Aditya Nigam (ICPRAM, 2019)

HFDSegNet: Holistic and Generalized Finger Dorsal ROI Segmentation Network. - Gaurav Jaswal; Shreyas Malakarjun Patil; Kamlesh Tiwari; Aditya Nigam (ICPRAM, 2019)

FKIMNet: A Finger Dorsal Image Matching Network Comparing Component (Major, Minor and Nail) Matching with Holistic (Finger Dorsal) Matching. - Daksh Thapar; Gaurav Jaswal; Aditya Nigam (IJCNN, 2019)

FDFNet: A Secure Cancelable Deep Finger Dorsal Template Generation Network Secured via. Bio-Hashing. - Avantika Singh; Ashish Arora; Shreya Hasmukh Patel; Gaurav Jaswal; Aditya Nigam (ISBA, 2019)

FDSNet: Finger dorsal image spoof detection network using light field camera. - Avantika Singh; Gaurav Jaswal; Aditya Nigam (ISBA, 2019)

PVSNet: Palm Vein Authentication Siamese Network Trained using Triplet Loss and Adaptive Hard Mining by Learning Enforced Domain Specific Features. - Daksh Thapar; Gaurav Jaswal; Aditya Nigam; Vivek Kanhangad (ISBA, 2019)

Applications of Statistical and Machine Learning Time-Series Methods for Predicting Internet Usage. - Naveksha Sood; Shruti Kaushik; Aditya Nigam; Sriram Kailasam; Dileep D.; Varun Dutt (MLDM (2), 2019)

Multiscale CNN based Deep Metric Learning for Bioacoustic Classification: Overcoming Training Data Scarcity Using Dynamic Triplet Loss. - Anshul Thakur; Daksh Thapar; Padmanabhan Rajan; Aditya Nigam (CoRR, 2019)

SP-NET: One Shot Fingerprint Singular-Point Detector. - Geetika Arora; Ranjeet Ranjan Jha; Akash Agrawal; Kamlesh Tiwari; Aditya Nigam (CoRR, 2019)

PoshakNet: Framework for matching dresses from real-life photos using GAN and Siamese Network. - Abhigyan Khaund; Daksh Thapar; Aditya Nigam (CoRR, 2019)

Gait metric learning siamese network exploiting dual of spatio-temporal 3D-CNN intra and LSTM based inter gait-cycle-segment features. - Daksh Thapar; Gaurav Jaswal; Aditya Nigam; Chetan Arora 001 (Pattern Recognit. Lett., 2019)

Bring your own hand: how a single sensor is bringing multiple biometrics together. - Gaurav Jaswal; Aditya Nigam; Amit Kaul; Ravinder Nath; Amit Kumar Singh 001 (Soft Comput., 2019)

Hierarchical X-Ray Report Generation via Pathology Tags and Multi Head Attention. - Preethi Srinivasan; Daksh Thapar; Arnav Bhavsar; Aditya Nigam (ACCV (5), 2020)

Semantic Features Aided Multi-scale Reconstruction of Inter-Modality Magnetic Resonance Images. - Preethi Srinivasan; Prabhjot Kaur; Aditya Nigam; Arnav Bhavsar (CBMS, 2020)

Is Sharing of Egocentric Video Giving Away Your Biometric Signature? - Daksh Thapar; Chetan Arora 001; Aditya Nigam (ECCV (17), 2020)

Multi-Shell D-MRI Reconstruction via Residual Learning utilizing Encoder-Decoder Network with Attention (MSR-Net). - Ranjeet Ranjan Jha; Aditya Nigam; Arnav Bhavsar; Sudhir K. Pathak; Walter Schneider; Rathish Kumar (EMBC, 2020)

IHashNet: Iris Hashing Network based on efficient multi-index hashing. - Avantika Singh; Pratyush Gaurav; Chirag Vashist; Aditya Nigam; Rameshwar Pratap (IJCB, 2020)

En-VStegNET: Video Steganography using spatio-temporal feature enhancement with 3D-CNN and Hourglass. - Aman Jaiswal; Suraj Kumar; Aditya Nigam (IJCNN, 2020)

HLGSNet: Hierarchical and Lightweight Graph Siamese Network with Triplet Loss for fMRI-based Classification of ADHD. - Ranjeet Ranjan Jha; Aditya Nigam; Arnav Bhavsar; Gaurav Jaswal; Sudhir K. Pathak; Rathish Kumar (IJCNN, 2020)

Recognizing Camera Wearer from Hand Gestures in Egocentric Videos: https: //egocentricbiometric.github.io/. - Daksh Thapar; Aditya Nigam; Chetan Arora 001 (ACM Multimedia, 2020)

UESegNet: Context Aware Unconstrained ROI Segmentation Networks for Ear Biometric. - Aman Kamboj; Rajneesh Rani; Aditya Nigam; Ranjeet Ranjan Jha (CoRR, 2020)

PixISegNet: pixel-level iris segmentation network using convolutional encoder-decoder with stacked hourglass bottleneck. - Ranjeet Ranjan Jha; Gaurav Jaswal; Divij Gupta; Shreshth Saini; Aditya Nigam (IET Biom., 2020)

Cancelable Iris template generation by aggregating patch level ordinal relations with its holistically extended performance and security analysis. - Avantika Singh; Ashish Arora; Aditya Nigam (Image Vis. Comput., 2020)

Comprehensive survey on cancelable biometrics with novel case study on finger dorsal template protection. - Avantika Singh; Ashish Arora; Gaurav Jaswal; Aditya Nigam (J. Bank. Financial Technol., 2020)

Localization of common carotid artery transverse section in B-mode ultrasound images using faster RCNN: a deep learning approach. - Pankaj Kumar Jain; Saurabh Gupta; Arnav Bhavsar; Aditya Nigam; Neeraj Sharma (Medical Biol. Eng. Comput., 2020)

Anonymizing Egocentric Videos. - Daksh Thapar; Aditya Nigam; Chetan Arora 001 (ICCV, 2021)

Enhancing HARDI Reconstruction from Undersampled Data Via Multi-Context and Feature Inter-Dependency GAN. - Ranjeet Ranjan Jha; Hritik Gupta; Sudhir K. Pathak; Walter Schneider; B. V. Rathish Kumar; Arnav Bhavsar; Aditya Nigam (ISBI, 2021)

Web-SpikeSegNet: Deep Learning Framework for Recognition and Counting of Spikes From Visual Images of Wheat Plants. - Tanuj Misra; Alka Arora; Sudeep Marwaha; Ranjeet Ranjan Jha; Mrinmoy Ray; Rajni Jain; Atmakuri Ramakrishna Rao; Eldho Varghese; Shailendra Kumar; Sudhir Kumar 003; Aditya Nigam; Rabi Narayan Sahoo; et al. (IEEE Access, 2021)

AI-Biometric-Driven Smartphone App for Strict Post-COVID Home Quarantine Management. - Gaurav Jaswal; Rohit Bharadwaj 001; Kamlesh Tiwari; Daksh Thapar; Piyush Goyal; Aditya Nigam (IEEE Consumer Electron. Mag., 2021)

A Systematic Review on AI-based Proctoring Systems: Past, Present and Future. - Aditya Nigam; Rhitvik Pasricha; Tarishi Singh; Prathamesh P. Churi (Educ. Inf. Technol., 2021)

CG-ERNet: a lightweight Curvature Gabor filtering based ear recognition network for data scarce scenario. - Aman Kamboj; Rajneesh Rani; Aditya Nigam (Multim. Tools Appl., 2021)

CED-Net: context-aware ear detection network for unconstrained images. - Aman Kamboj; Rajneesh Rani; Aditya Nigam; Ranjeet Ranjan Jha (Pattern Anal. Appl., 2021)

Merry Go Round: Rotate a Frame and Fool a DNN. - Daksh Thapar; Aditya Nigam; Chetan Arora 001 (CVPR, 2022)

MHATC: Autism Spectrum Disorder Identification Utilizing Multi-Head Attention Encoder Along with Temporal Consolidation Modules. - Ranjeet Ranjan Jha; Abhishek Bhardwaj; Devin Garg; Arnav Bhavsar; Aditya Nigam (EMBC, 2022)

LFANET: Transforming 3T Single-Shell to 7T Multi-Shell DMRI Using Deep Learning Based Leapfrog and Attention. - Ranjeet Ranjan Jha; Sudhir K. Pathak; Walter Schneider; B. V. Rathish Kumar; Arnav Bhavsar; Aditya Nigam (ISBI, 2022)

Mobile based Human Identification using Forehead Creases: Application and Assessment under COVID-19 Masked Face Scenarios. - Rohit Bharadwaj 001; Gaurav Jaswal; Aditya Nigam; Kamlesh Tiwari (WACV, 2022)

Correction to: Systematic Review on AI-based Proctoring Systems: Past, Present and Future. - Aditya Nigam; Rhitvik Pasricha; Tarishi Singh; Prathamesh P. Churi (Educ. Inf. Technol., 2022)

A generic framework for deep incremental cancelable template generation. - Avantika Singh; Chirag Vashist; Pratyush Gaurav; Aditya Nigam (Neurocomputing, 2022)

FKPIndexNet: An efficient learning framework for finger-knuckle-print database indexing to boost identification. - Geetika Arora; Avantika Singh; Aditya Nigam; Hari Mohan Pandey; Kamlesh Tiwari (Knowl. Based Syst., 2022)

A comprehensive survey and deep learning-based approach for human recognition using ear biometric. - Aman Kamboj; Rajneesh Rani; Aditya Nigam (Vis. Comput., 2022)

Sclera Segmentation and Joint Recognition Benchmarking Competition: SSRBC 2023. - Abhijit Das 001; Saurabh Atreya; Aritra Mukherjee; Matej Vitek; Haiqing Li; Caiyong Wang; Guangzhe Zhao; Fadi Boutros; Patrick Siebke; Jan Niklas Kolf; Naser Damer; Sun Ye; et al. (IJCB, 2023)

The Unconstrained Ear Recognition Challenge 2023: Maximizing Performance and Minimizing Bias. - Ziga Emersic; Tetsushi Ohki; Muku Akasaka; Takahiko Arakawa; Soshi Maeda; Masora Okano; Yuya Sato; Anjith George; Sébastien Marcel; Iyyakutti Iyappan Ganapathi; Syed Sadaf Ali; Sajid Javed; et al. (IJCB, 2023)

Parts Based Attention for Highly Occluded Pedestrian Detection with Transformers. - K. N. Ajay Shastry; Jayesh Chaudhari; Daksh Thapar; Aditya Nigam; Chetan Arora 001 (ICIP, 2023)

PA-GAN: Parallel Attention Based Gan for Enhancement of FODF. - Ranjeet Ranjan Jha; Hritik Gupta; Sudhir K. Pathak; Ankita Joshi; Walter Schneider; B. V. Rathish Kumar; Arnav Bhavsar; Aditya Nigam (ISBI, 2023)

TrGANet: Transforming 3T to 7T dMRI using Trapezoidal Rule and Graph based Attention Modules. - Ranjeet Ranjan Jha; B. V. Rathish Kumar; Sudhir K. Pathak; Arnav Bhavsar; Aditya Nigam (Medical Image Anal., 2023)

Undersampled single-shell to MSMT fODF reconstruction using CNN-based ODE solver. - Ranjeet Ranjan Jha; B. V. Rathish Kumar; Sudhir K. Pathak; Walter Schneider; Arnav Bhavsar; Aditya Nigam (Comput. Methods Programs Biomed., 2023)

GaitW: Enhancing Gait Recognition in the Wild Using Dynamic Information. - Daksh Thapar; Jayesh Chaudhari; Sunny Manchanda; Aditya Nigam; Chetan Arora 001 (ACCV (1), 2024)

Synthetic Forehead-creases Biometric Generation for Reliable User Verification. - Abhishek Tandon; Geetanjali Sharma; Gaurav Jaswal; Aditya Nigam; Raghavendra Ramachandra (IJCB, 2024)

TractoEmbed: Modular Multi-level Embedding Framework for White Matter Tract Segmentation. - Anoushkrit Goel; Bipanjit Singh; Ankita Joshi; Ranjeet Ranjan Jha; Chirag Ahuja; Aditya Nigam; Arnav Bhavsar (ICPR (28), 2024)

Tract-RLFormer: A Tract-Specific RL Policy Based Decoder-Only Transformer Network. - Ankita Joshi; Ashutosh Sharma; Anoushkrit Goel; Ranjeet Ranjan Jha; Chirag Kamal Ahuja; Arnav Bhavsar; Aditya Nigam (ICPR (13), 2024)

SIGN-Diffusion: Generating User Specific Online Signature for Digital Verification. - Anurag Pandey 004; PushapDeep Singh; Arnav Bhavsar; Aditya Nigam; Divya Acharya; Basu Verma (ICPR (14), 2024)

Impact of Iris Pigmentation on Performance Bias in Visible Iris Verification Systems: A Comparative Study. - Geetanjali Sharma; Abhishek Tandon; Gaurav Jaswal; Aditya Nigam; Raghavendra Ramachandra (ICPR (Workshops and Challenges, 1), 2024)

Design Optimisation of Electronic Nose with Multichannel Gas Sensor. - Yugal Pachori; Richa Thakur; Avinash; Prashant D. Kulkarni; Dinesh Singh; Aditya Nigam; Shubhajit Roy Chowdhury (ICST, 2024)

OSRNet: Online Signature Recognition Network utilising Spatio-Temporal Features Extracted from Signature Video. - Anurag Pandey 004; PushapDeep Singh; Arnav Bhavsar; Aditya Nigam; Divya Acharya (IJCNN, 2024)

FH-SSTNet: Forehead Creases based User Verification using Spatio-Spatial Temporal Network. - Geetanjali Sharma; Gaurav Jaswal; Aditya Nigam; Raghavendra Ramachandra (IWBF, 2024)

Favoring One Among Equals - Not a Good Idea: Many-to-one Matching for Robust Transformer based Pedestrian Detection. - K. N. Ajay Shastry; K. Ravi Sri Teja; Aditya Nigam; Chetan Arora 001 (WACV, 2024)

Enhancing Autism Spectrum Disorder identification in multi-site MRI imaging: A multi-head cross-attention and multi-context approach for addressing variability in un-harmonized data. - Ranjeet Ranjan Jha; Arvind Muralie; Munish Daroch; Arnav Bhavsar; Aditya Nigam (Artif. Intell. Medicine, 2024)

A colour image segmentation method and its application to medical images. - Abdul Halim; B. V. Rathish Kumar; Ajay Niranjan; Aditya Nigam; Walter Schneider; Chirag Kamal Ahuja; Sudhir K. Pathak (Signal Image Video Process., 2024)

Tractogpt: A GPT Architecture for White Matter Tract Segmentation. - Anoushkrit Goel; Simroop Singh; Ankita Joshi; Ranjeet Ranjan Jha; Chirag Ahuja; Aditya Nigam; Arnav Bhavsar (ISBI, 2025)

SIGN-GAIL: Rewarding Online Signature Generation for Digital Imitation. - Anurag Pandey 004; Arnav Bhavsar; Aditya Nigam; Divya Acharya; Basu Verma; Balaji Rao K (WACV (Workshops), 2025)

Generating Realistic Forehead-Creases for User Verification via Conditioned Piecewise Polynomial Curves. - Abhishek Tandon; Geetanjali Sharma; Gaurav Jaswal; Aditya Nigam; Raghavendra Ramachandra (WACV (Workshops), 2025)

FISNET: A Learnable Fusion-Based Iris Segmentation Network Improving Robustness Across NIR and VIS Modalities. - Geetanjali Sharma; Gaurav Jaswal; Aditya Nigam; Raghavendra Ramachandra (IEEE Access, 2025)

TractoGPT: A GPT architecture for White Matter Segmentation. - Anoushkrit Goel; Simroop Singh; Ankita Joshi; Ranjeet Ranjan Jha; Chirag Ahuja; Aditya Nigam; Arnav Bhavsar (CoRR, 2025)

EAD: An EEG Adapter for Automated Classification. - PushapDeep Singh; Jyoti Nigam; Medicherla Vamsi Krishna; Arnav Bhavsar; Aditya Nigam (CoRR, 2025)