Aditya Nigam

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 97

Top Venues

Publications

Abdul Halim, B. V. Rathish Kumar, Ajay Niranjan, Aditya Nigam, Walter Schneider, Chirag K. Ahuja, Sudhir K. Pathak
A colour image segmentation method and its application to medical images. Signal Image Video Process. 18 (2) (2024)
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)
Geetanjali Sharma, Gaurav Jaswal, Aditya Nigam, Raghavendra Ramachandra
FH-SSTNet: Forehead Creases based User Verification using Spatio-Spatial Temporal Network. IWBF (2024)
Geetanjali Sharma, Gaurav Jaswal, Aditya Nigam, Raghavendra Ramachandra
FH-SSTNet: Forehead Creases based User Verification using Spatio-Spatial Temporal Network. CoRR (2024)
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 (2023)
K. N. Ajay Shastry, Jayesh Chaudhari, Daksh Thapar, Aditya Nigam, Chetan Arora
Parts Based Attention for Highly Occluded Pedestrian Detection with Transformers. ICIP (2023)
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)
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 (2023)
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)
Ziga Emersic, Tetsushi Ohki, Muku Akasaka, Takahiko Arakawa, Soshi Maeda, M. 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, D. K. Jain, G. Cámara-Chávez, Peter Peer, Vitomir Struc
The Unconstrained Ear Recognition Challenge 2023: Maximizing Performance and Minimizing Bias. IJCB (2023)
Daksh Thapar, Aditya Nigam, Chetan Arora
Merry Go Round: Rotate a Frame and Fool a DNN. CVPR (2022)
Avantika Singh, Chirag Vashist, Pratyush Gaurav, Aditya Nigam
A generic framework for deep incremental cancelable template generation. Neurocomputing 467 (2022)
Aman Kamboj, Rajneesh Rani, Aditya Nigam
A comprehensive survey and deep learning-based approach for human recognition using ear biometric. Vis. Comput. 38 (7) (2022)
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)
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 (2022)
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 (2022)
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)
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) (2022)
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)
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) (2021)
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) (2021)
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)
Tanuj Misra, Alka Arora, Sudeep Marwaha, Ranjeet Ranjan Jha, Mrinmoy Ray, Rajni Jain, A. R. 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 (2021)
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) (2021)
Aman Kamboj, Rajneesh Rani, Aditya Nigam, Ranjeet Ranjan Jha
CED-Net: context-aware ear detection network for unconstrained images. Pattern Anal. Appl. 24 (2) (2021)
Daksh Thapar, Aditya Nigam, Chetan Arora
Anonymizing Egocentric Videos. ICCV (2021)
Preethi Srinivasan, Prabhjot Kaur, Aditya Nigam, Arnav Bhavsar
Semantic Features Aided Multi-scale Reconstruction of Inter-Modality Magnetic Resonance Images. CBMS (2020)
Pankaj K. 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) (2020)
Aman Kamboj, Rajneesh Rani, Aditya Nigam, Ranjeet Ranjan Jha
UESegNet: Context Aware Unconstrained ROI Segmentation Networks for Ear Biometric. CoRR (2020)
Avantika Singh, Aditya Nigam
Effect of identity mapping, transfer learning and domain knowledge on the robustness and generalization ability of a network: a biometric based case study. J. Ambient Intell. Humaniz. Comput. 11 (5) (2020)
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)
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)
Avantika Singh, Pratyush Gaurav, Chirag Vashist, Aditya Nigam, Rameshwar Pratap
IHashNet: Iris Hashing Network based on efficient multi-index hashing. IJCB (2020)
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) (2020)
Daksh Thapar, Chetan Arora, Aditya Nigam
Is Sharing of Egocentric Video Giving Away Your Biometric Signature? ECCV (17) (2020)
Avantika Singh, Chirag Vashist, Pratyush Gaurav, Aditya Nigam, Rameshwar Pratap
IHashNet: Iris Hashing Network based on efficient multi-index hashing. CoRR (2020)
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 (2020)
Aman Jaiswal, Suraj Kumar, Aditya Nigam
En-VStegNET: Video Steganography using spatio-temporal feature enhancement with 3D-CNN and Hourglass. IJCNN (2020)
Preethi Srinivasan, Prabhjot Kaur, Aditya Nigam, Arnav Bhavsar
Semantic Features Aided Multi-Scale Reconstruction of Inter-Modality Magnetic Resonance Images. CoRR (2020)
Daksh Thapar, Aditya Nigam, Chetan Arora
Recognizing Camera Wearer from Hand Gestures in Egocentric Videos: https: //egocentricbiometric.github.io/. ACM Multimedia (2020)
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) (2020)
Preethi Srinivasan, Daksh Thapar, Arnav Bhavsar, Aditya Nigam
Hierarchical X-Ray Report Generation via Pathology Tags and Multi Head Attention. ACCV (5) (2020)
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)
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) (2019)
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)
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)
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 (2019)
Gaurav Jaswal, Shreyas Malakarjun Patil, Kamlesh Tiwari, Aditya Nigam
HFDSegNet: Holistic and Generalized Finger Dorsal ROI Segmentation Network. ICPRAM (2019)
Raghav Sharma, Rohit Pandey, Aditya Nigam
Real Time Object Detection on Aerial Imagery. CAIP (1) (2019)
Aayush Mishra, Suraj Kumar, Aditya Nigam, Saiful Islam
VStegNET: Video Steganography Network using Spatio-Temporal features and Micro-Bottleneck. BMVC (2019)
Avantika Singh, Gaurav Jaswal, Aditya Nigam
FDSNet: Finger dorsal image spoof detection network using light field camera. ISBA (2019)
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)
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)
Geetika Arora, Ranjeet Ranjan Jha, Akash Agrawal, Kamlesh Tiwari, Aditya Nigam
SP-NET: One Shot Fingerprint Singular-Point Detector. CoRR (2019)
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)
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)
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)
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 (2019)
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 (2019)
Abhigyan Khaund, Daksh Thapar, Aditya Nigam
PoshakNet: Framework for matching dresses from real-life photos using GAN and Siamese Network. CoRR (2019)
Aditya Sharma, Prabhjot Kaur, Aditya Nigam, Arnav Bhavsar
Learning to Decode 7T-like MR Image Reconstruction from 3T MR Images. CoRR (2018)
Avantika Singh, Shreya Hasmukh Patel, Aditya Nigam
Cancelable Knuckle Template Generation Based on LBP-CNN. ECCV Workshops (4) (2018)
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 (2018)
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 (2018)
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)
Arjun Pankajakshan, Anshul Thakur, Daksh Thapar, Padmanabhan Rajan, Aditya Nigam
All-Conv Net for Bird Activity Detection: Significance of Learned Pooling. INTERSPEECH (2018)
Avantika Singh, Gaurav Jaswal, Aditya Nigam
FDSNet: Finger dorsal image spoof detection network using light field camera. CoRR (2018)
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)
Prabhjot Kaur, Aditya Sharma, Aditya Nigam, Arnav Bhavsar
MR-Srnet: Transformation of Low Field MR Images to High Field MR Images. ICIP (2018)
Daksh Thapar, Aditya Nigam, Divyansh Aggarwal, Punjal Agarwal
VGR-net: A view invariant gait recognition network. ISBA (2018)
Siddhant Kumar, Neha Muthiyan, Shaifu Gupta, Dileep Aroor Dinesh, Aditya Nigam
Association Learning based Hybrid Model for Cloud Workload Prediction. IJCNN (2018)
Seema Kumari, Ranjeet Ranjan Jha, Arnav Bhavsar, Aditya Nigam
Indoor-Outdoor Scene Classification with Residual Convolutional Neural Network. CVIP (2) (2018)
Avantika Singh, Vishesh Mistry, Dhananjay Yadav, Aditya Nigam
GHCLNet: A generalized hierarchically tuned contact lens detection network. ISBA (2018)
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) (2018)
Gaurav Jaswal, Amit Kaul, Ravinder Nath, Aditya Nigam
DeepPalm-A Unified Framework for Personal Human Authentication. SPCOM (2018)
Shreyas Malakarjun Patil, Aditya Nigam, Arnav Bhavsar, Chiranjoy Chattopadhyay
Siamese LSTM based Fiber Structural Similarity Network (FS2Net) for Rotation Invariant Brain Tractography Segmentation. CoRR (2017)
Daksh Thapar, Divyansh Aggarwal, Punjal Agarwal, Aditya Nigam
VGR-Net: A View Invariant Gait Recognition Network. CoRR (2017)
Gaurav Jaswal, Aditya Nigam, Ravinder Nath
Finger knuckle image based personal authentication using DeepMatching. ISBA (2017)
Avantika Singh, Vishesh Mistry, Dhananjay Yadav, Aditya Nigam
GHCLNet: A Generalized Hierarchically tuned Contact Lens detection Network. CoRR (2017)
Gaurav Jaswal, Aditya Nigam, Ravinder Nath
DeepKnuckle: revealing the human identity. Multim. Tools Appl. 76 (18) (2017)
Ranjeet Ranjan Jha, Daksh Thapar, Shreyas Malakarjun Patil, Aditya Nigam
UBSegNet: Unified Biometric Region of Interest Segmentation Network. ACPR (2017)
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 (2017)
Samriddhi Jain, Renu M. Rameshan, Aditya Nigam
Object Triggered Egocentric Video Summarization. CAIP (2) (2017)
Shreyas Malakarjun Patil, Ranjeet Ranjan Jha, Aditya Nigam
IPSegNet : Deep Convolutional Neural Network Based Segmentation Framework for Iris and Pupil. SITIS (2017)
Gaurav Jaswal, Ravinder Nath, Aditya Nigam
Deformable multi-scale scheme for biometric personal identification. ICIP (2017)
Ranjeet Ranjan Jha, Daksh Thapar, Shreyas Malakarjun Patil, Aditya Nigam
UBSegNet: Unified Biometric Region of Interest Segmentation Network. CoRR (2017)
Vedang Patel, Anand Parmar, Arnav Bhavsar, Aditya Nigam
Automated brain tractography segmentation using curvature points. ICVGIP (2016)
Balender Kumar, Aditya Nigam, Phalguni Gupta
Automated Soft Contact Lens Detection using Gradient based Information. VISIGRAPP (3: VISAPP) (2016)
Balender Kumar, Aditya Nigam, Phalguni Gupta
Fully Automated Soft Contact Lens Detection from NIR Iris Images. ICPRAM (2016)
Aditya Nigam, Kamlesh Tiwari, Phalguni Gupta
Multiple texture information fusion for finger-knuckle-print authentication system. Neurocomputing 188 (2016)
Aditya Nigam, Phalguni Gupta
Finger-Knuckle-Print ROI Extraction using Curvature Gabor Filter for Human Authentication. VISIGRAPP (3: VISAPP) (2016)
Aditya Nigam, Parvez Khan, Phalguni Gupta
Fusion of Palmprint and Finger-Knuckle-Print for Human Personal Recognition. SSCI (2015)
Aditya Nigam, Phalguni Gupta
Designing an accurate hand biometric based authentication system fusing finger knuckleprint and palmprint. Neurocomputing 151 (2015)
Lovish, Aditya Nigam, Balender Kumar, Phalguni Gupta
Robust Contact Lens Detection Using Local Phase Quantization and Binary Gabor Pattern. CAIP (1) (2015)
Aditya Nigam, Phalguni Gupta
Tri-modal biometric fusion for human authentication by tracking Differential Code Pattern. NCVPRIPG (2015)
Aditya Nigam, Balender Kumar, Jyoti Triyar, Phalguni Gupta
Iris Recognition Using Discrete Cosine Transform and Relational Measures. CAIP (2) (2015)
Aditya Nigam, Gitesh Chhalotre, Phalguni Gupta
Pose and illumination invariant face recognition using binocular stereo 3D reconstruction. NCVPRIPG (2015)
Kamlesh Tiwari, Aditya Nigam, Phalguni Gupta
TARC: A novel score fusion scheme for multimodal biometric systems. CIBIM (2014)
Aditya Nigam, Lovish, Amit Bendale, Phalguni Gupta
Efficient Iris Recognition System Using Relational Measures. IWCF (2014)
Rahul Ajmera, Aditya Nigam, Phalguni Gupta
3D Face Recognition using Kinect. ICVGIP (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Aditya Nigam