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2020 – today
- 2024
[j23]Ranjeet Ranjan Jha, Arvind Muralie, Munish Daroch, Arnav Bhavsar, Aditya Nigam:
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. Artif. Intell. Medicine 157: 102998 (2024)- [j22]Abdul Halim, B. V. Rathish Kumar, Ajay Niranjan, Aditya Nigam, Walter Schneider, Chirag Kamal Ahuja, Sudhir K. Pathak:
A colour image segmentation method and its application to medical images. Signal Image Video Process. 18(2): 1635-1648 (2024) - [c82]Abhishek Tandon, Geetanjali Sharma, Gaurav Jaswal, Aditya Nigam, Raghavendra Ramachandra:
Synthetic Forehead-creases Biometric Generation for Reliable User Verification. IJCB 2024: 1-9 - [c81]Anurag Pandey, PushapDeep Singh, Arnav Bhavsar, Aditya Nigam, Divya Acharya, Basu Verma:
SIGN-Diffusion: Generating User Specific Online Signature for Digital Verification. ICPR (14) 2024: 31-45 - [c80]Anoushkrit Goel, Bipanjit Singh, Ankita Joshi, Ranjeet Ranjan Jha, Chirag Ahuja, Aditya Nigam, Arnav Bhavsar:
TractoEmbed: Modular Multi-level Embedding Framework for White Matter Tract Segmentation. ICPR (28) 2024: 240-255 - [c79]Ankita Joshi, Ashutosh Sharma, Anoushkrit Goel, Ranjeet Ranjan Jha, Chirag Kamal Ahuja, Arnav Bhavsar, Aditya Nigam:
Tract-RLFormer: A Tract-Specific RL Policy Based Decoder-Only Transformer Network. ICPR (13) 2024: 258-275 - [c78]Anurag Pandey, PushapDeep Singh, Arnav Bhavsar, Aditya Nigam, Divya Acharya:
OSRNet: Online Signature Recognition Network utilising Spatio-Temporal Features Extracted from Signature Video. IJCNN 2024: 1-8 - [c77]Geetanjali Sharma, Gaurav Jaswal, Aditya Nigam, Raghavendra Ramachandra:
FH-SSTNet: Forehead Creases based User Verification using Spatio-Spatial Temporal Network. IWBF 2024: 1-6 - [c76]K. N. Ajay Shastry, K. Ravi Sri Teja, Aditya Nigam, Chetan Arora:
Favoring One Among Equals - Not a Good Idea: Many-to-one Matching for Robust Transformer based Pedestrian Detection. WACV 2024: 748-757 - [i19]Geetanjali Sharma, Gaurav Jaswal, Aditya Nigam, Raghavendra Ramachandra:
FH-SSTNet: Forehead Creases based User Verification using Spatio-Spatial Temporal Network. CoRR abs/2403.16202 (2024) - [i18]Abhishek Tandon, Geetanjali Sharma, Gaurav Jaswal, Aditya Nigam, Raghavendra Ramachandra:
Synthetic Forehead-creases Biometric Generation for Reliable User Verification. CoRR abs/2408.15693 (2024) - 2023
- [j21]Ranjeet Ranjan Jha
, B. V. Rathish Kumar, Sudhir K. Pathak, Walter Schneider, Arnav Bhavsar, Aditya Nigam:
Undersampled single-shell to MSMT fODF reconstruction using CNN-based ODE solver. Comput. Methods Programs Biomed. 230: 107339 (2023) - [j20]Ranjeet Ranjan Jha, B. V. Rathish Kumar, Sudhir K. Pathak, Arnav Bhavsar, Aditya Nigam:
TrGANet: Transforming 3T to 7T dMRI using Trapezoidal Rule and Graph based Attention Modules. Medical Image Anal. 87: 102806 (2023) - [c75]Abhijit Das, Saurabh Atreya, Aritra Mukherjee, Matej Vitek, Haiqing Li, Caiyong Wang, Guangzhe Zhao, Fadi Boutros, Patrick Siebke, Jan Niklas Kolf, Naser Damer, Sun Ye, Lu Hexin, Fan Aobo, You Sheng, Sabari Nathan, R. Suganya, R. S. Rampriya, Geetanjali Sharma, P. Priyanka, Aditya Nigam, Peter Peer, Umapada Pal, Vitomir Struc:
Sclera Segmentation and Joint Recognition Benchmarking Competition: SSRBC 2023. IJCB 2023: 1-10 - [c74]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, Naoufel Werghi, S. G. Isik, Erdi Saritas, Hazim Kemal Ekenel, V. Hudovernik, Jan Niklas Kolf, Fadi Boutros, Naser Damer, G. Sharma, Aman Kamboj, Aditya Nigam, Deepak Kumar Jain, G. Cámara-Chávez, Peter Peer, Vitomir Struc:
The Unconstrained Ear Recognition Challenge 2023: Maximizing Performance and Minimizing Bias. IJCB 2023: 1-10 - [c73]K. N. Ajay Shastry, Jayesh Chaudhari, Daksh Thapar, Aditya Nigam, Chetan Arora:
Parts Based Attention for Highly Occluded Pedestrian Detection with Transformers. ICIP 2023: 3085-3089 - [c72]Ranjeet Ranjan Jha, Hritik Gupta, Sudhir K. Pathak, Ankita Joshi, Walter Schneider, B. V. Rathish Kumar, Arnav Bhavsar, Aditya Nigam:
PA-GAN: Parallel Attention Based Gan for Enhancement of FODF. ISBI 2023: 1-5 - 2022
- [j19]Aditya Nigam, Rhitvik Pasricha, Tarishi Singh, Prathamesh P. Churi:
Correction to: Systematic Review on AI-based Proctoring Systems: Past, Present and Future. Educ. Inf. Technol. 27(5): 7377-7378 (2022) - [j18]Avantika Singh, Chirag Vashist, Pratyush Gaurav, Aditya Nigam:
A generic framework for deep incremental cancelable template generation. Neurocomputing 467: 83-98 (2022) - [j17]Geetika Arora, Avantika Singh, Aditya Nigam, Hari Mohan Pandey, Kamlesh Tiwari:
FKPIndexNet: An efficient learning framework for finger-knuckle-print database indexing to boost identification. Knowl. Based Syst. 239: 108028 (2022) - [j16]Aman Kamboj, Rajneesh Rani, Aditya Nigam:
A comprehensive survey and deep learning-based approach for human recognition using ear biometric. Vis. Comput. 38(7): 2383-2416 (2022) - [c71]Daksh Thapar, Aditya Nigam, Chetan Arora:
Merry Go Round: Rotate a Frame and Fool a DNN. CVPR 2022: 15034-15043 - [c70]Ranjeet Ranjan Jha, Abhishek Bhardwaj, Devin Garg, Arnav Bhavsar, Aditya Nigam:
MHATC: Autism Spectrum Disorder Identification Utilizing Multi-Head Attention Encoder Along with Temporal Consolidation Modules. EMBC 2022: 337-341 - [c69]Ranjeet Ranjan Jha, Sudhir K. Pathak, Walter Schneider, B. V. Rathish Kumar, Arnav Bhavsar, Aditya Nigam:
LFANET: Transforming 3T Single-Shell to 7T Multi-Shell DMRI Using Deep Learning Based Leapfrog and Attention. ISBI 2022: 1-5 - [c68]Rohit Bharadwaj, Gaurav Jaswal, Aditya Nigam, Kamlesh Tiwari:
Mobile based Human Identification using Forehead Creases: Application and Assessment under COVID-19 Masked Face Scenarios. WACV 2022: 1215-1223 - [i17]Ranjeet Ranjan Jha, Abhishek Bhardwaj, Devin Garg, Arnav Bhavsar, Aditya Nigam:
MHATC: Autism Spectrum Disorder identification utilizing multi-head attention encoder along with temporal consolidation modules. CoRR abs/2201.00404 (2022) - 2021
- [j15]Tanuj Misra, Alka Arora, Sudeep Marwaha, Ranjeet Ranjan Jha, Mrinmoy Ray, Rajni Jain, Atmakuri Ramakrishna Rao, Eldho Varghese, Shailendra Kumar, Sudhir Kumar, Aditya Nigam, Rabi Narayan Sahoo, Viswanathan Chinnusamy:
Web-SpikeSegNet: Deep Learning Framework for Recognition and Counting of Spikes From Visual Images of Wheat Plants. IEEE Access 9: 76235-76247 (2021) - [j14]Gaurav Jaswal, Rohit Bharadwaj, Kamlesh Tiwari, Daksh Thapar, Piyush Goyal, Aditya Nigam:
AI-Biometric-Driven Smartphone App for Strict Post-COVID Home Quarantine Management. IEEE Consumer Electron. Mag. 10(3): 49-55 (2021) - [j13]Aditya Nigam, Rhitvik Pasricha, Tarishi Singh, Prathamesh P. Churi:
A Systematic Review on AI-based Proctoring Systems: Past, Present and Future. Educ. Inf. Technol. 26(5): 6421-6445 (2021) - [j12]Aman Kamboj, Rajneesh Rani, Aditya Nigam:
CG-ERNet: a lightweight Curvature Gabor filtering based ear recognition network for data scarce scenario. Multim. Tools Appl. 80(17): 26571-26613 (2021) - [j11]Aman Kamboj, Rajneesh Rani, Aditya Nigam, Ranjeet Ranjan Jha:
CED-Net: context-aware ear detection network for unconstrained images. Pattern Anal. Appl. 24(2): 779-800 (2021) - [c67]Daksh Thapar, Aditya Nigam, Chetan Arora:
Anonymizing Egocentric Videos. ICCV 2021: 2300-2309 - [c66]Ranjeet Ranjan Jha, Hritik Gupta, Sudhir K. Pathak, Walter Schneider, B. V. Rathish Kumar, Arnav Bhavsar, Aditya Nigam:
Enhancing HARDI Reconstruction from Undersampled Data Via Multi-Context and Feature Inter-Dependency GAN. ISBI 2021: 1103-1106 - 2020
- [j10]Ranjeet Ranjan Jha, Gaurav Jaswal, Divij Gupta, Shreshth Saini, Aditya Nigam:
PixISegNet: pixel-level iris segmentation network using convolutional encoder-decoder with stacked hourglass bottleneck. IET Biom. 9(1): 11-24 (2020) - [j9]Avantika Singh, Ashish Arora, Aditya Nigam:
Cancelable Iris template generation by aggregating patch level ordinal relations with its holistically extended performance and security analysis. Image Vis. Comput. 104: 104017 (2020) - [j8]Avantika Singh, Ashish Arora, Gaurav Jaswal, Aditya Nigam:
Comprehensive survey on cancelable biometrics with novel case study on finger dorsal template protection. J. Bank. Financial Technol. 4(1): 37-52 (2020) - [j7]Pankaj Kumar Jain, Saurabh Gupta, Arnav Bhavsar, Aditya Nigam, Neeraj Sharma:
Localization of common carotid artery transverse section in B-mode ultrasound images using faster RCNN: a deep learning approach. Medical Biol. Eng. Comput. 58(3): 471-482 (2020) - [c65]Preethi Srinivasan, Daksh Thapar, Arnav Bhavsar, Aditya Nigam:
Hierarchical X-Ray Report Generation via Pathology Tags and Multi Head Attention. ACCV (5) 2020: 600-616 - [c64]Preethi Srinivasan, Prabhjot Kaur, Aditya Nigam, Arnav Bhavsar:
Semantic Features Aided Multi-scale Reconstruction of Inter-Modality Magnetic Resonance Images. CBMS 2020: 110-113 - [c63]Daksh Thapar, Chetan Arora, Aditya Nigam:
Is Sharing of Egocentric Video Giving Away Your Biometric Signature? ECCV (17) 2020: 399-416 - [c62]Ranjeet Ranjan Jha, Aditya Nigam, Arnav Bhavsar, Sudhir K. Pathak, Walter Schneider, Rathish Kumar:
Multi-Shell D-MRI Reconstruction via Residual Learning utilizing Encoder-Decoder Network with Attention (MSR-Net). EMBC 2020: 1709-1713 - [c61]Avantika Singh, Pratyush Gaurav, Chirag Vashist, Aditya Nigam, Rameshwar Pratap:
IHashNet: Iris Hashing Network based on efficient multi-index hashing. IJCB 2020: 1-9 - [c60]Aman Jaiswal, Suraj Kumar, Aditya Nigam:
En-VStegNET: Video Steganography using spatio-temporal feature enhancement with 3D-CNN and Hourglass. IJCNN 2020: 1-8 - [c59]Ranjeet Ranjan Jha, Aditya Nigam, Arnav Bhavsar, Gaurav Jaswal, Sudhir K. Pathak, Rathish Kumar:
HLGSNet: Hierarchical and Lightweight Graph Siamese Network with Triplet Loss for fMRI-based Classification of ADHD. IJCNN 2020: 1-7 - [c58]Daksh Thapar, Aditya Nigam, Chetan Arora:
Recognizing Camera Wearer from Hand Gestures in Egocentric Videos: https: //egocentricbiometric.github.io/. ACM Multimedia 2020: 2095-2103 - [i16]Preethi Srinivasan, Prabhjot Kaur, Aditya Nigam, Arnav Bhavsar:
Semantic Features Aided Multi-Scale Reconstruction of Inter-Modality Magnetic Resonance Images. CoRR abs/2006.12585 (2020) - [i15]Aman Kamboj, Rajneesh Rani, Aditya Nigam, Ranjeet Ranjan Jha:
UESegNet: Context Aware Unconstrained ROI Segmentation Networks for Ear Biometric. CoRR abs/2010.03990 (2020) - [i14]Avantika Singh, Chirag Vashist, Pratyush Gaurav, Aditya Nigam, Rameshwar Pratap:
IHashNet: Iris Hashing Network based on efficient multi-index hashing. CoRR abs/2012.03881 (2020)
2010 – 2019
- 2019
- [j6]Daksh Thapar, Gaurav Jaswal, Aditya Nigam, Chetan Arora:
Gait metric learning siamese network exploiting dual of spatio-temporal 3D-CNN intra and LSTM based inter gait-cycle-segment features. Pattern Recognit. Lett. 125: 646-653 (2019) - [j5]Gaurav Jaswal, Aditya Nigam, Amit Kaul, Ravinder Nath, Amit Kumar Singh:
Bring your own hand: how a single sensor is bringing multiple biometrics together. Soft Comput. 23(19): 9121-9139 (2019) - [c57]Aayush Mishra, Suraj Kumar, Aditya Nigam, Saiful Islam:
VStegNET: Video Steganography Network using Spatio-Temporal features and Micro-Bottleneck. BMVC 2019: 274 - [c56]Chandrakant Sonawane, Dipendra Pratap Singh, Raghav Sharma, Aditya Nigam, Arnav Bhavsar:
Fabric Classification and Matching Using CNN and Siamese Network for E-commerce. CAIP (2) 2019: 193-205 - [c55]Ranjeet Ranjan Jha, Shreyas Malakarjun Patil, Aditya Nigam, Arnav Bhavsar:
FS2Net: Fiber Structural Similarity Network (FS2Net) for Rotation Invariant Brain Tractography Segmentation Using Stacked LSTM Based Siamese Network. CAIP (2) 2019: 459-469 - [c54]Raghav Sharma, Rohit Pandey, Aditya Nigam:
Real Time Object Detection on Aerial Imagery. CAIP (1) 2019: 481-491 - [c53]Seema Kumari, Ranjeet Ranjan Jha, Arnav Bhavsar, Aditya Nigam:
AUTODEPTH: Single Image Depth Map Estimation via Residual CNN Encoder-Decoder and Stacked Hourglass. ICIP 2019: 340-344 - [c52]Manish Agnihotri, Aditya Rathod, Daksh Thapar, Gaurav Jaswal, Kamlesh Tiwari, Aditya Nigam:
Learning Domain Specific Features using Convolutional Autoencoder: A Vein Authentication Case Study using Siamese Triplet Loss Network. ICPRAM 2019: 778-785 - [c51]Gaurav Jaswal, Shreyas Malakarjun Patil, Kamlesh Tiwari, Aditya Nigam:
HFDSegNet: Holistic and Generalized Finger Dorsal ROI Segmentation Network. ICPRAM 2019: 786-793 - [c50]Daksh Thapar, Gaurav Jaswal, Aditya Nigam:
FKIMNet: A Finger Dorsal Image Matching Network Comparing Component (Major, Minor and Nail) Matching with Holistic (Finger Dorsal) Matching. IJCNN 2019: 1-8 - [c49]Avantika Singh, Ashish Arora, Shreya Hasmukh Patel, Gaurav Jaswal, Aditya Nigam:
FDFNet: A Secure Cancelable Deep Finger Dorsal Template Generation Network Secured via. Bio-Hashing. ISBA 2019: 1-9 - [c48]Avantika Singh, Gaurav Jaswal, Aditya Nigam:
FDSNet: Finger dorsal image spoof detection network using light field camera. ISBA 2019: 1-9 - [c47]Daksh Thapar, Gaurav Jaswal, Aditya Nigam, Vivek Kanhangad:
PVSNet: Palm Vein Authentication Siamese Network Trained using Triplet Loss and Adaptive Hard Mining by Learning Enforced Domain Specific Features. ISBA 2019: 1-8 - [c46]Naveksha Sood, Shruti Kaushik, Aditya Nigam, Sriram Kailasam, Dileep D., Varun Dutt:
Applications of Statistical and Machine Learning Time-Series Methods for Predicting Internet Usage. MLDM (2) 2019: 760-774 - [p1]Gaurav Jaswal, Aditya Nigam, Ravinder Nath:
Finger Biometrics for e-Health Security. Handbook of Multimedia Information Security 2019: 577-617 - [i13]Anshul Thakur, Daksh Thapar, Padmanabhan Rajan, Aditya Nigam:
Multiscale CNN based Deep Metric Learning for Bioacoustic Classification: Overcoming Training Data Scarcity Using Dynamic Triplet Loss. CoRR abs/1903.10713 (2019) - [i12]Daksh Thapar, Gaurav Jaswal, Aditya Nigam:
FKIMNet: A Finger Dorsal Image Matching Network Comparing Component (Major, Minor and Nail) Matching with Holistic (Finger Dorsal) Matching. CoRR abs/1904.01289 (2019) - [i11]Geetika Arora, Ranjeet Ranjan Jha, Akash Agrawal, Kamlesh Tiwari, Aditya Nigam:
SP-NET: One Shot Fingerprint Singular-Point Detector. CoRR abs/1908.04842 (2019) - [i10]Abhigyan Khaund, Daksh Thapar, Aditya Nigam:
PoshakNet: Framework for matching dresses from real-life photos using GAN and Siamese Network. CoRR abs/1911.04237 (2019) - 2018
- [j4]Shruti Bhilare, Gaurav Jaswal, Vivek Kanhangad, Aditya Nigam:
Single-sensor hand-vein multimodal biometric recognition using multiscale deep pyramidal approach. Mach. Vis. Appl. 29(8): 1269-1286 (2018) - [c45]Seema Kumari, Ranjeet Ranjan Jha, Arnav Bhavsar, Aditya Nigam:
Indoor-Outdoor Scene Classification with Residual Convolutional Neural Network. CVIP (2) 2018: 325-337 - [c44]Avantika Singh, Aditya Nigam:
Encapsulating the Impact of Transfer Learning, Domain Knowledge and Training Strategies in Deep-Learning Based Architecture: A Biometric Based Case Study. CVPR Workshops 2018: 1866-1868 - [c43]Avantika Singh, Shreya Hasmukh Patel, Aditya Nigam:
Cancelable Knuckle Template Generation Based on LBP-CNN. ECCV Workshops (4) 2018: 730-733 - [c42]Prabhjot Kaur, Aditya Sharma, Aditya Nigam, Arnav Bhavsar:
MR-Srnet: Transformation of Low Field MR Images to High Field MR Images. ICIP 2018: 2057-2061 - [c41]Siddhant Kumar, Neha Muthiyan, Shaifu Gupta, Dileep Aroor Dinesh, Aditya Nigam:
Association Learning based Hybrid Model for Cloud Workload Prediction. IJCNN 2018: 1-8 - [c40]Arjun Pankajakshan, Anshul Thakur, Daksh Thapar, Padmanabhan Rajan, Aditya Nigam:
All-Conv Net for Bird Activity Detection: Significance of Learned Pooling. INTERSPEECH 2018: 2122-2126 - [c39]Avantika Singh, Vishesh Mistry, Dhananjay Yadav, Aditya Nigam:
GHCLNet: A generalized hierarchically tuned contact lens detection network. ISBA 2018: 1-8 - [c38]Daksh Thapar, Aditya Nigam, Divyansh Aggarwal, Punjal Agarwal:
VGR-net: A view invariant gait recognition network. ISBA 2018: 1-8 - [c37]Aditya Sharma, Prabhjot Kaur, Aditya Nigam, Arnav Bhavsar:
Learning to Decode 7T-Like MR Image Reconstruction from 3T MR Images. DLMIA/ML-CDS@MICCAI 2018: 245-253 - [c36]Gaurav Jaswal, Amit Kaul, Ravinder Nath, Aditya Nigam:
DeepPalm-A Unified Framework for Personal Human Authentication. SPCOM 2018: 322-326 - [i9]Aditya Sharma, Prabhjot Kaur, Aditya Nigam, Arnav Bhavsar:
Learning to Decode 7T-like MR Image Reconstruction from 3T MR Images. CoRR abs/1806.06886 (2018) - [i8]Avantika Singh, Ashish Arora, Shreya Hasmukh Patel, Gaurav Jaswal, Aditya Nigam:
FDFNet : A Secure Cancelable Deep Finger Dorsal Template Generation Network Secured via. Bio-Hashing. CoRR abs/1812.05308 (2018) - [i7]Daksh Thapar, Gaurav Jaswal, Aditya Nigam, Vivek Kanhangad:
PVSNet: Palm Vein Authentication Siamese Network Trained using Triplet Loss and Adaptive Hard Mining by Learning Enforced Domain Specific Features. CoRR abs/1812.06271 (2018) - [i6]Avantika Singh, Gaurav Jaswal, Aditya Nigam:
FDSNet: Finger dorsal image spoof detection network using light field camera. CoRR abs/1812.07444 (2018) - 2017
- [j3]Gaurav Jaswal, Aditya Nigam, Ravinder Nath:
DeepKnuckle: revealing the human identity. Multim. Tools Appl. 76(18): 18955-18984 (2017) - [c35]Ranjeet Ranjan Jha, Daksh Thapar, Shreyas Malakarjun Patil, Aditya Nigam:
UBSegNet: Unified Biometric Region of Interest Segmentation Network. ACPR 2017: 923-928 - [c34]Samriddhi Jain, Renu M. Rameshan, Aditya Nigam:
Object Triggered Egocentric Video Summarization. CAIP (2) 2017: 428-439 - [c33]Gaurav Jaswal, Ravinder Nath, Aditya Nigam:
Deformable multi-scale scheme for biometric personal identification. ICIP 2017: 3555-3559 - [c32]Gaurav Jaswal, Aditya Nigam, Ravinder Nath:
Finger knuckle image based personal authentication using DeepMatching. ISBA 2017: 1-8 - [c31]Shreyas Malakarjun Patil, Ranjeet Ranjan Jha, Aditya Nigam:
IPSegNet : Deep Convolutional Neural Network Based Segmentation Framework for Iris and Pupil. SITIS 2017: 184-191 - [i5]Ranjeet Ranjan Jha, Daksh Thapar, Shreyas Malakarjun Patil, Aditya Nigam:
UBSegNet: Unified Biometric Region of Interest Segmentation Network. CoRR abs/1709.08924 (2017) - [i4]Daksh Thapar, Divyansh Aggarwal, Punjal Agarwal, Aditya Nigam:
VGR-Net: A View Invariant Gait Recognition Network. CoRR abs/1710.04803 (2017) - [i3]Avantika Singh, Vishesh Mistry, Dhananjay Yadav, Aditya Nigam:
GHCLNet: A Generalized Hierarchically tuned Contact Lens detection Network. CoRR abs/1710.05152 (2017) - [i2]Tushar Gupta, Shreyas Malakarjun Patil, Mukkaram Tailor, Daksh Thapar, Aditya Nigam:
BrainSegNet : A Segmentation Network for Human Brain Fiber Tractography Data into Anatomically Meaningful Clusters. CoRR abs/1710.05158 (2017) - [i1]Shreyas Malakarjun Patil, Aditya Nigam, Arnav Bhavsar, Chiranjoy Chattopadhyay:
Siamese LSTM based Fiber Structural Similarity Network (FS2Net) for Rotation Invariant Brain Tractography Segmentation. CoRR abs/1712.09792 (2017) - 2016
- [j2]Aditya Nigam, Kamlesh Tiwari, Phalguni Gupta:
Multiple texture information fusion for finger-knuckle-print authentication system. Neurocomputing 188: 190-205 (2016) - [c30]Balender Kumar, Aditya Nigam, Phalguni Gupta:
Fully Automated Soft Contact Lens Detection from NIR Iris Images. ICPRAM 2016: 589-596 - [c29]Vedang Patel, Anand Parmar, Arnav Bhavsar, Aditya Nigam:
Automated brain tractography segmentation using curvature points. ICVGIP 2016: 18:1-18:6 - [c28]Balender Kumar, Aditya Nigam, Phalguni Gupta:
Automated Soft Contact Lens Detection using Gradient based Information. VISIGRAPP (3: VISAPP) 2016: 358-365 - [c27]Aditya Nigam, Phalguni Gupta:
Finger-Knuckle-Print ROI Extraction using Curvature Gabor Filter for Human Authentication. VISIGRAPP (3: VISAPP) 2016: 366-373 - 2015
- [j1]Aditya Nigam, Phalguni Gupta:
Designing an accurate hand biometric based authentication system fusing finger knuckleprint and palmprint. Neurocomputing 151: 1120-1132 (2015) - [c26]Aditya Nigam, Balender Kumar, Jyoti Triyar, Phalguni Gupta:
Iris Recognition Using Discrete Cosine Transform and Relational Measures. CAIP (2) 2015: 506-517 - [c25]Lovish, Aditya Nigam, Balender Kumar, Phalguni Gupta:
Robust Contact Lens Detection Using Local Phase Quantization and Binary Gabor Pattern. CAIP (1) 2015: 702-714 - [c24]Aditya Nigam, Gitesh Chhalotre, Phalguni Gupta:
Pose and illumination invariant face recognition using binocular stereo 3D reconstruction. NCVPRIPG 2015: 1-4 - [c23]Aditya Nigam, Phalguni Gupta:
Tri-modal biometric fusion for human authentication by tracking Differential Code Pattern. NCVPRIPG 2015: 1-4 - [c22]Aditya Nigam, Parvez Khan, Phalguni Gupta:
Fusion of Palmprint and Finger-Knuckle-Print for Human Personal Recognition. SSCI 2015: 341-348 - 2014
- [c21]Aditya Nigam, Phalguni Gupta:
Robust Ear Recognition Using Gradient Ordinal Relationship Pattern. ACCV Workshops (3) 2014: 617-632 - [c20]Yogesh Kumar, Aditya Nigam, Kamlesh Tiwari, Phalguni Gupta:
An automated multimodal biometric system and fusion. CIBIM 2014: 16-21 - [c19]Kamlesh Tiwari, Aditya Nigam, Phalguni Gupta:
TARC: A novel score fusion scheme for multimodal biometric systems. CIBIM 2014: 53-59 - [c18]Aditya Nigam, Vamshi Krishna, Amit Bendale, Phalguni Gupta:
Iris recognition using block local binary patterns and relational measures. IJCB 2014: 1-6 - [c17]Aditya Nigam, Phalguni Gupta:
Multimodal Personal Authentication Using Iris and Knuckleprint. ICIC (1) 2014: 819-825 - [c16]Rahul Ajmera, Aditya Nigam, Phalguni Gupta:
3D Face Recognition using Kinect. ICVGIP 2014: 76:1-76:8 - [c15]Aditya Nigam, Lovish, Amit Bendale, Phalguni Gupta:
Efficient Iris Recognition System Using Relational Measures. IWCF 2014: 55-66 - 2013
- [c14]Aditya Nigam, Phalguni Gupta:
Multimodal Personal Authentication System Fusing Palmprint and Knuckleprint. ICIC (3) 2013: 188-193 - [c13]Aditya Nigam, Anvesh T., Phalguni Gupta:
Iris Classification Based on Its Quality. ICIC (1) 2013: 443-452 - [c12]Shubham Jain, Aditya Nigam, Phalguni Gupta:
Age-Invariant Face Recognition Using Shape Transformation. ICIC (1) 2013: 453-461 - [c11]Aditya Nigam, Phalguni Gupta:
Quality assessment of knuckleprint biometric images. ICIP 2013: 4205-4209 - 2012
- [c10]Aditya Nigam, Phalguni Gupta:
Iris Recognition Using Consistent Corner Optical Flow. ACCV (1) 2012: 358-369 - [c9]Amit Bendale, Aditya Nigam, Surya Prakash, Phalguni Gupta:
Iris Segmentation Using Improved Hough Transform. ICIC (3) 2012: 408-415 - [c8]Vandana Dixit Kaushik, Amit Bendale, Aditya Nigam, Phalguni Gupta:
An Efficient Algorithm for De-duplication of Demographic Data. ICIC (1) 2012: 602-609 - [c7]Nishant Singh, Aditya Nigam, Puneet Gupta, Phalguni Gupta:
Four Slap Fingerprint Segmentation. ICIC (2) 2012: 664-671 - [c6]Aditya Nigam, Phalguni Gupta:
Palmprint Recognition Using Geometrical and Statistical Constraints. SocProS 2012: 1303-1315 - 2011
- [c5]Aditya Nigam, Phalguni Gupta:
Finger Knuckleprint Based Recognition System Using Feature Tracking. CCBR 2011: 125-132 - [c4]G. S. Badrinath, Aditya Nigam, Phalguni Gupta:
An Efficient Finger-Knuckle-Print Based Recognition System Fusing SIFT and SURF Matching Scores. ICICS 2011: 374-387 - [c3]Jeet Kumar, Aditya Nigam, Surya Prakash, Phalguni Gupta:
An Efficient Pose Invariant Face Recognition System. SocProS (2) 2011: 145-152 - 2010
- [c2]Aditya Nigam, Phalguni Gupta:
Comparing human faces using edge weighted dissimilarity measure. ICARCV 2010: 1831-1836
2000 – 2009
- 2009
- [c1]Aditya Nigam, Phalguni Gupta:
A New Distance Measure for Face Recognition System. ICIG 2009: 696-701
Coauthor Index
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