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Santanu Chaudhury
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2020 – today
- 2024
- [j85]Shreyansh Sharma, Richa Dubey, Santanu Chaudhury:
A bibliometric survey on impact of Blockchain in Robotics: Trends and Applications. Comput. Electr. Eng. 120: 109744 (2024) - [j84]Jobin Wilson, Santanu Chaudhury, Brejesh Lall:
Multi-armed bandit based online model selection for concept-drift adaptation. Expert Syst. J. Knowl. Eng. 41(9) (2024) - [j83]Shreyansh Sharma, Anil K. Saini, Santanu Chaudhury:
Multimodal biometric user authentication using improved decentralized fuzzy vault scheme based on Blockchain network. J. Inf. Secur. Appl. 82: 103740 (2024) - [j82]Chetan Ralekar, Shubham Choudhary, Tapan Kumar Gandhi, Santanu Chaudhury:
Development of Character Recognition Model Inspired by Visual Explanations. IEEE Trans. Artif. Intell. 5(3): 1362-1372 (2024) - [c250]Atharva Pandey, Vishal Yadav, Rajendra Nagar, Santanu Chaudhury:
LISR: Learning Linear 3D Implicit Surface Representation Using Compactly Supported Radial Basis Functions. AAAI 2024: 4415-4423 - [c249]Akkshita Trivedi, Akarsh Upadhyay, Rudrabha Mukhopadhyay, Santanu Chaudhury:
GDP: Generic Document Pretraining to Improve Document Understanding. ICDAR (1) 2024: 208-226 - [c248]Shipra Madan, Santanu Chaudhury, Tapan Kumar Gandhi:
Pneumonia Classification in Chest X-Ray Images Using Explainable Slot-Attention Mechanism. ICPR (5) 2024: 271-286 - [c247]Archana Yadav, Vishakha Pareek, Akshay Agarwal, Santanu Chaudhury:
Neural Encoding of Odors: Translating Odors into Unique Digital Representation with EEG Signals. ICPR (7) 2024: 280-295 - [i18]Atharva Pandey, Vishal Yadav, Rajendra Nagar, Santanu Chaudhury:
LISR: Learning Linear 3D Implicit Surface Representation Using Compactly Supported Radial Basis Functions. CoRR abs/2402.07301 (2024) - [i17]Aiman Farooq, Deepak Mishra, Santanu Chaudhury:
Translating Imaging to Genomics: Leveraging Transformers for Predictive Modeling. CoRR abs/2408.00311 (2024) - [i16]Aiman Farooq, Deepak Mishra, Santanu Chaudhury:
Survival Prediction in Lung Cancer through Multi-Modal Representation Learning. CoRR abs/2409.20179 (2024) - 2023
- [j81]Shreyansh Sharma, Anil K. Saini, Santanu Chaudhury:
A survey on biometric cryptosystems and their applications. Comput. Secur. 134: 103458 (2023) - [j80]Sai Phani Kumar Malladi, Jayanta Mukherjee, Mohamed-Chaker Larabi, Santanu Chaudhury:
Towards explainable deep visual saliency models. Comput. Vis. Image Underst. 235: 103782 (2023) - [j79]Jayant Vyas, Bhumika, Debasis Das, Santanu Chaudhury:
Federated learning based driver recommendation for next generation transportation system. Expert Syst. Appl. 225: 119951 (2023) - [j78]Jobin Wilson, Santanu Chaudhury, Brejesh Lall:
Homogeneous-Heterogeneous Hybrid Ensemble for concept-drift adaptation. Neurocomputing 557: 126741 (2023) - [j77]Shipra Madan, Santanu Chaudhury, Tapan Kumar Gandhi:
Explainable few-shot learning with visual explanations on a low resource pneumonia dataset. Pattern Recognit. Lett. 176: 109-116 (2023) - [c246]Yasmeena Akhter, Rishabh Ranjan, Richa Singh, Mayank Vatsa, Santanu Chaudhury:
On AI-Assisted Pneumoconiosis Detection from Chest X-rays. IJCAI 2023: 6353-6361 - [c245]Jayant Vyas, Bhumika, Debasis Das, Santanu Chaudhury:
Dr. MTL: Driver Recommendation using Federated Multi-Task Learning. VTC Fall 2023: 1-5 - [c244]Swati Bhugra, Vinay Kaushik, Amit Gupta, Brejesh Lall, Santanu Chaudhury:
AnoLeaf: Unsupervised Leaf Disease Segmentation via Structurally Robust Generative Inpainting. WACV 2023: 6404-6413 - [e9]Pradipta Maji, Tingwen Huang, Nikhil R. Pal, Santanu Chaudhury, Rajat K. De:
Pattern Recognition and Machine Intelligence - 10th International Conference, PReMI 2023, Kolkata, India, December 12-15, 2023, Proceedings. Lecture Notes in Computer Science 14301, Springer 2023, ISBN 978-3-031-45169-0 [contents] - 2022
- [b1]Abdullah Aamir Hayat, Shraddha Chaudhary, Riby Abraham Boby, Arun Dayal Udai, Sumantra Dutta Roy, Subir Kumar Saha, Santanu Chaudhury:
Vision Based Identification and Force Control of Industrial Robots. Springer 2022, ISBN 978-981-16-6989-7, pp. 1-178 - [j76]Sai Phani Kumar Malladi, Jayanta Mukherjee, Mohamed-Chaker Larabi, Santanu Chaudhury:
EG-SNIK: A Free Viewing Egocentric Gaze Dataset and Its Applications. IEEE Access 10: 129626-129641 (2022) - [j75]Deepak Kumar Rout, Badri Narayan Subudhi, Thangaraj Veerakumar, Santanu Chaudhury, John J. Soraghan:
Multiresolution visual enhancement of hazy underwater scene. Multim. Tools Appl. 81(23): 32907-32936 (2022) - [j74]Aakarsh Malhotra, Surbhi Mittal, Puspita Majumdar, Saheb Chhabra, Kartik Thakral, Mayank Vatsa, Richa Singh, Santanu Chaudhury, Ashwin Pudrod, Anjali Agrawal:
Multi-task driven explainable diagnosis of COVID-19 using chest X-ray images. Pattern Recognit. 122: 108243 (2022) - [j73]Ram Mohan, Santanu Chaudhury, Brejesh Lall:
Temporal Causal Modelling on Large Volume Enterprise Data. IEEE Trans. Big Data 8(6): 1678-1689 (2022) - [j72]Jayant Vyas, Debasis Das, Santanu Chaudhury:
DriveBFR: Driver Behavior and Fuel-Efficiency-Based Recommendation System. IEEE Trans. Comput. Soc. Syst. 9(5): 1446-1455 (2022) - [j71]Shruti Sharma, Santanu Chaudhury, Jayadeva:
Block Sparse Variational Bayes Regression Using Matrix Variate Distributions With Application to SSVEP Detection. IEEE Trans. Neural Networks Learn. Syst. 33(1): 351-365 (2022) - [c243]Sai Phani Kumar Malladi, Jayanta Mukhopadhyay, Mohamed-Chaker Larabi, Santanu Chaudhury:
Lighter and Faster Two-Pathway CMRNet for Video Saliency Prediction. ICIP 2022: 2991-2995 - [c242]Swati Bhugra, Prerana Mukherjee, Vinay Kaushik, Ritika Jha, Brejesh Lall, Santanu Chaudhury:
TARSNet: Topology Aware Root Segmentation Network for plant phenotyping. ICVGIP 2022: 58:1-58:8 - 2021
- [j70]Nisha Pahal, Brejesh Lall, Santanu Chaudhury:
An Ontology Representation Language for Multimedia Event Applications. J. Web Eng. 20(2): 217-252 (2021) - [j69]Vishakha Pareek, Santanu Chaudhury:
Deep learning-based gas identification and quantification with auto-tuning of hyper-parameters. Soft Comput. 25(22): 14155-14170 (2021) - [j68]Pratibha Singh, Santanu Chaudhury, Bijaya Ketan Panigrahi:
Hybrid MPSO-CNN: Multi-level Particle Swarm optimized hyperparameters of Convolutional Neural Network. Swarm Evol. Comput. 63: 100863 (2021) - [j67]Shilpi Gupta, Prerana Mukherjee, Santanu Chaudhury, Brejesh Lall, Hemanth Sanisetty:
DFTNet: Deep Fish Tracker With Attention Mechanism in Unconstrained Marine Environments. IEEE Trans. Instrum. Meas. 70: 1-13 (2021) - [c241]Annu Mor, Mukesh Kumar, Santanu Chaudhury:
Smart City Umbrella Ontology : Context -Driven Framework For Traffic Planning. FIRE 2021: 83-90 - [c240]Rituraj, Aruna Tiwari, Santanu Chaudhury, Sanjay Singh, Sumeet Saurav:
Video Classification using SlowFast Network via Fuzzy rule. FUZZ-IEEE 2021: 1-6 - [c239]Sai Phani Kumar Malladi, Jayanta Mukhopadhyay, Chaker Larabi, Santanu Chaudhury:
Lighter and Faster Cross-Concatenated Multi-Scale Residual Block Based Network for Visual Saliency Prediction. ICIP 2021: 2503-2507 - [c238]Vishakha Pareek, Santanu Chaudhury, Sanjay Singh:
Online Pattern Recognition of Time-series Gas Sensor Data with Adaptive 2D-CNN Ensemble. IDAACS 2021: 679-683 - [c237]Vishakha Pareek, Santanu Chaudhury, Sanjay Singh:
Gas Discrimination & Quantification using Sensor Array with 3D Convolution Regression Dual Network. IDAACS 2021: 684-688 - [c236]Shipra Madan, Anirudra Diwakar, Santanu Chaudhury, Tapan K. Gandhi:
Pneumonia Classification Using Few-Shot Learning with Visual Explanations. ICHI 2021: 229-241 - [c235]Shipra Madan, Santanu Chaudhury, Tapan Kumar Gandhi:
Automated detection of COVID-19 on a small dataset of chest CT images using metric learning. IJCNN 2021: 1-8 - [c234]Swati Bhugra, Vinay Kaushik, Isaac Castro-Mateos, Santanu Chaudhury, Brejesh Lall:
Unsupervised Learning of Affinity for Image Segmentation: An Inpainting based Approach. IVCNZ 2021: 1-6 - [c233]Ankit Shukla, Manoj Sharma, Swati Bhugra, Avinash Upadhyay, Navya Singh, Santanu Chaudhury, Brejesh Lall:
Auto-Encoder Guided Attention Based Network for Hyperspectral Recovery from Real RGB Images. PReMI 2021: 42-52 - [c232]Prerana Mukherjee, Manoj Sharma, Megh Makwana, Ajay Pratap Singh, Avinash Upadhyay, Akkshita Trivedi, Brejesh Lall, Santanu Chaudhury:
DSAL-GAN: Denoising Based Saliency Prediction with Generative Adversarial Networks. PReMI 2021: 568-576 - [e8]Rama Chellappa, Santanu Chaudhury, Chetan Arora, Parag Chaudhuri, Subhransu Maji:
ICVGIP '21: Indian Conference on Computer Vision, Graphics and Image Processing, Jodhpur, India, December 19 - 22, 2021. ACM 2021, ISBN 978-1-4503-7596-2 [contents] - [i15]Chetan Ralekar, Shubham Choudhary, Tapan Kumar Gandhi, Santanu Chaudhury:
Understanding Character Recognition using Visual Explanations Derived from the Human Visual System and Deep Networks. CoRR abs/2108.04558 (2021) - [i14]Sai Phani Kumar Malladi, Jayanta Mukhopadhyay, Chaker Larabi, Santanu Chaudhury:
Deriving Explanation of Deep Visual Saliency Models. CoRR abs/2109.03575 (2021) - 2020
- [j66]Badri Narayan Subudhi, Thangaraj Veerakumar, Esakkirajan Sankaralingam, Santanu Chaudhury:
Automatic lecture video skimming using shot categorization and contrast based features. Expert Syst. Appl. 149: 113341 (2020) - [j65]Deepak Kumar Rout, Badri Narayan Subudhi, Thangaraj Veerakumar, Santanu Chaudhury:
Walsh-Hadamard-Kernel-Based Features in Particle Filter Framework for Underwater Object Tracking. IEEE Trans. Ind. Informatics 16(9): 5712-5722 (2020) - [c231]Chetan Ralekar, Tapan Kumar Gandhi, Santanu Chaudhury:
Collaborative Human Machine Attention Module for Character Recognition. ICPR 2020: 9874-9880 - [c230]Anurag Tripathi, Siddharth Srivastava, Brejesh Lall, Santanu Chaudhury:
Using Scene Graphs for Detecting Visual Relationships. ICPR 2020: 10074-10081 - [c229]Swati Bhugra, Kanish Garg, Santanu Chaudhury, Brejesh Lall:
A Hierarchical Framework for Leaf Instance Segmentation: Application to Plant Phenotyping. ICPR 2020: 10173-10179 - [c228]Shipra Madan, Tapan K. Gandhi, Santanu Chaudhury:
Bone Age Assessment for Lower Age Groups Using Triplet Network in Small Dataset of Hand X-Rays. IHCI (1) 2020: 142-153 - [c227]Sai Phani Kumar Malladi, Jayanta Mukhopadhyay, Mohamed-Chaker Larabi, Santanu Chaudhury:
Eye Movement State Trajectory Estimator based on Ancestor Sampling. MMSP 2020: 1-6 - [c226]Ronak Gupta, Aditya Kumar, Santanu Chaudhury, Brejesh Lall, Vinay Kaushik:
Data Adaptive Compressed Sensing using deep neural network for Image recognition. NCC 2020: 1-5 - [e7]Uma Shanker Tiwary, Santanu Chaudhury:
Intelligent Human Computer Interaction - 11th International Conference, IHCI 2019, Allahabad, India, December 12-14, 2019, Proceedings. Lecture Notes in Computer Science 11886, Springer 2020, ISBN 978-3-030-44688-8 [contents] - [i13]Ronak Gupta, Prashant Anand, Santanu Chaudhury, Brejesh Lall, Sanjay Singh:
Compressive sensing based privacy for fall detection. CoRR abs/2001.03463 (2020) - [i12]Aakarsh Malhotra, Surbhi Mittal, Puspita Majumdar, Saheb Chhabra, Kartik Thakral, Mayank Vatsa, Richa Singh, Santanu Chaudhury, Ashwin Pudrod, Anjali Agrawal:
Multi-Task Driven Explainable Diagnosis of COVID-19 using Chest X-ray Images. CoRR abs/2008.03205 (2020)
2010 – 2019
- 2019
- [j64]Meera Thapar Khanna, Chetan Ralekar, Anurika Goel, Santanu Chaudhury, Brejesh Lall:
Memorability-based image compression. IET Image Process. 13(9): 1490-1501 (2019) - [j63]Anurag Tripathi, Abhinav Gupta, Santanu Chaudhury, Arun Singh:
Image super resolution using distributed locality sensitive hashing for manifold learning. Multim. Tools Appl. 78(18): 25673-25684 (2019) - [j62]Deepak Mishra, Santanu Chaudhury, Mukul Sarkar, Arvinder Singh Soin:
Ultrasound Image Segmentation: A Deeply Supervised Network With Attention to Boundaries. IEEE Trans. Biomed. Eng. 66(6): 1637-1648 (2019) - [c225]Seungjun Nah, Radu Timofte, Shuhang Gu, Sungyong Baik, Seokil Hong, Gyeongsik Moon, Sanghyun Son, Kyoung Mu Lee, Xintao Wang, Kelvin C. K. Chan, Ke Yu, Chao Dong, Chen Change Loy, Yuchen Fan, Jiahui Yu, Ding Liu, Thomas S. Huang, Xiao Liu, Chao Li, Dongliang He, Yukang Ding, Shilei Wen, Fatih Porikli, Ratheesh Kalarot, Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita, Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Jiayi Ma, Hang Dong, Xinyi Zhang, Zhe Hu, Kwan-Young Kim, Dong Un Kang, Se Young Chun, Kuldeep Purohit, A. N. Rajagopalan, Yapeng Tian, Yulun Zhang, Yun Fu, Chenliang Xu, Ahmet Murat Tekalp, Mustafa Akin Yilmaz, Cansu Korkmaz, Manoj Sharma, Megh Makwana, Anuj Badhwar, Ajay Pratap Singh, Avinash Upadhyay, Rudrabha Mukhopadhyay, Ankit Shukla, Dheeraj Khanna, A. S. Mandal, Santanu Chaudhury, Si Miao, Yongxin Zhu, Xiao Huo:
NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results. CVPR Workshops 2019: 1985-1995 - [c224]Shuhang Gu, Radu Timofte, Richard Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, S. Athi Narayanan, Jameer Babu Pinjari, Zhiwei Xiong, Zhan Shi, Chang Chen, Dong Liu, Manoj Sharma, Megh Makwana, Anuj Badhwar, Ajay Pratap Singh, Avinash Upadhyay, Akkshita Trivedi, Anil K. Saini, Santanu Chaudhury, Prasen Kumar Sharma, Priyankar Jain, Arijit Sur, Gökhan Özbulak:
NTIRE 2019 Challenge on Image Colorization: Report. CVPR Workshops 2019: 2233-2240 - [c223]Chetan Ralekar, Shubham Choudhary, Tapan Kumar Gandhi, Santanu Chaudhury:
Intelligent Identification of Ornamental Devanagari Characters Inspired by Visual Fixations. WML@ICDAR 2019: 14-19 - [c222]Anupama Ray, Manoj Sharma, Avinash Upadhyay, Megh Makwana, Santanu Chaudhury, Akkshita Trivedi, Ajay Pratap Singh, Anil K. Saini:
An End-to-End Trainable Framework for Joint Optimization of Document Enhancement and Recognition. ICDAR 2019: 59-64 - [c221]Somsukla Maiti, Anamika, Atanendu Sekhar Mandal, Santanu Chaudhury:
Classification of Motor Imagery EEG Signal for Navigation of Brain Controlled Drones. IHCI 2019: 3-12 - [c220]Somsukla Maiti, Prashant Sadashiv Gidde, Sumeet Saurav, Sanjay Singh, Dhiraj, Santanu Chaudhury:
Real-Time Vehicle Detection in Aerial Images Using Skip-Connected Convolution Network with Region Proposal Networks. PReMI (1) 2019: 200-208 - [c219]Ronak Gupta, Prashant Anand, Vinay Kaushik, Santanu Chaudhury, Brejesh Lall:
Data Driven Sensing for Action Recognition Using Deep Convolutional Neural Networks. PReMI (1) 2019: 250-259 - [c218]Manoj Sharma, Avinash Upadhyay, Ajay Pratap Singh, Megh Makwana, Swati Bhugra, Brejesh Lall, Santanu Chaudhury, Deepak Mishra, Anil K. Saini:
Gradually Growing Residual and Self-attention Based Dense Deep Back Projection Network for Large Scale Super-Resolution of Image. PReMI (1) 2019: 260-268 - [c217]Nisha Pahal, Parul Jain, Ruchika Saxena, Abhinesh Srivastava, Santanu Chaudhury, Brejesh Lall:
Context-Aware Reasoning Framework for Multi-user Recommendations in Smart Home. PReMI (2) 2019: 302-310 - [c216]Anurag Tripathi, Siddharth Srivastava, Brejesh Lall, Santanu Chaudhury:
Guided Compositional Generative Adversarial Networks. SMC 2019: 3586-3591 - [i11]Prerana Mukherjee, Manoj Sharma, Megh Makwana, Ajay Pratap Singh, Avinash Upadhyay, Akkshita Trivedi, Brejesh Lall, Santanu Chaudhury:
DSAL-GAN: Denoising based Saliency Prediction with Generative Adversarial Networks. CoRR abs/1904.01215 (2019) - 2018
- [j61]Jobin Wilson, Santanu Chaudhury, Brejesh Lall:
Clustering short temporal behaviour sequences for customer segmentation using LDA. Expert Syst. J. Knowl. Eng. 35(3) (2018) - [j60]Deepak Kumar Rout, Badri Narayan Subudhi, Thangaraj Veerakumar, Santanu Chaudhury:
Spatio-contextual Gaussian mixture model for local change detection in underwater video. Expert Syst. Appl. 97: 117-136 (2018) - [j59]Deepak Mishra, Santanu Chaudhury, Mukul Sarkar, Arvinder Singh Soin:
Ultrasound Image Enhancement Using Structure Oriented Adversarial Network. IEEE Signal Process. Lett. 25(9): 1349-1353 (2018) - [j58]Shilpa Dang, Santanu Chaudhury, Brejesh Lall, Prasun Kumar Roy:
Tractography-Based Score for Learning Effective Connectivity From Multimodal Imaging Data Using Dynamic Bayesian Networks. IEEE Trans. Biomed. Eng. 65(5): 1057-1068 (2018) - [j57]Deepak Mishra, Santanu Chaudhury, Mukul Sarkar, Arvinder Singh Soin, Vivek Sharma:
Edge Probability and Pixel Relativity-Based Speckle Reducing Anisotropic Diffusion. IEEE Trans. Image Process. 27(2): 649-664 (2018) - [c215]Vandna Bhalla, Santanu Chaudhury:
Integrated Semi-Supervised Model for Learning and Classification. CVIP (1) 2018: 183-195 - [c214]Dhiraj, Raunak Manekar, Sumeet Saurav, Somsukla Maiti, Sanjay Singh, Santanu Chaudhury, Neeraj, Ravi Kumar, Kamal Chaudhary:
Activity Recognition for Indoor Fall Detection in 360-Degree Videos Using Deep Learning Techniques. CVIP (2) 2018: 417-429 - [c213]Manoj Sharma, Rudrabha Mukhopadhyay, Avinash Upadhyay, Sriharsha Koundinya, Ankit Shukla, Santanu Chaudhury:
IRGUN: Improved Residue Based Gradual Up-Scaling Network for Single Image Super Resolution. CVPR Workshops 2018: 834-843 - [c212]Sriharsha Koundinya, Himanshu Sharma, Manoj Sharma, Avinash Upadhyay, Raunak Manekar, Rudrabha Mukhopadhyay, Abhijit Karmakar, Santanu Chaudhury:
2D-3D CNN Based Architectures for Spectral Reconstruction From RGB Images. CVPR Workshops 2018: 844-851 - [c211]Swati Bhugra, Deepak Mishra, Anupama Anupama, Santanu Chaudhury, Brejesh Lall, Archana Chugh, Viswanathan Chinnusamy:
Deep Convolutional Neural Networks Based Framework for Estimation of Stomata Density and Structure from Microscopic Images. ECCV Workshops (6) 2018: 412-423 - [c210]Shruti Sharma, Santanu Chaudhury, Jayadeva:
Variational Bayes Block Sparse Modeling with Correlated Entries. ICPR 2018: 1313-1318 - [c209]Deepak Mishra, Sarthak Tyagi, Santanu Chaudhury, Mukul Sarkar, Arvinder Singh Soin:
Despeckling CNN with Ensembles of Classical Outputs. ICPR 2018: 3802-3807 - [c208]Swati Bhugra, Deepak Mishra, Anupama Anupama, Santanu Chaudhury, Brejesh Lall, Archana Chugh:
Automatic Quantification of Stomata for High-Throughput Plant Phenotyping. ICPR 2018: 3904-3910 - [c207]Shruti Sharma, Santanu Chaudhury, Jayadeva, Snigdha Bhagat:
Sparse Signal Recovery for Multiple Measurement Vectors with Temporally Correlated Entries: A Bayesian Perspective. ICVGIP 2018: 66:1-66:8 - [c206]Shruti Sharma, Santanu Chaudhury, Jayadeva:
Temporal Modeling of EEG Signals using Block Sparse Variational Bayes Framework. ICVGIP 2018: 71:1-71:7 - [c205]Chetan Ralekar, Punyajoy Saha, Tapan K. Gandhi, Santanu Chaudhury:
Effect of Devanagari Font Type in Reading Comprehension: An Eye Tracking Study. IHCI 2018: 136-147 - [c204]Deepak Mishra, Santanu Chaudhury, Mukul Sarkar, Sidharth Manohar, Arvinder Singh Soin:
Segmentation of Vascular Regions in Ultrasound Images: A Deep Learning Approach. ISCAS 2018: 1-5 - [c203]Shruti Sharma, Santanu Chaudhury, Jayadeva:
Some Comments on Variational Bayes Block Sparse Modeling with Correlated Entries. RRPR 2018: 110-117 - [c202]Nisha Pahal, Anupama Mallik, Santanu Chaudhury:
An Ontology-based Context-aware IoT Framework for Smart Surveillance. SCA 2018: 69:1-69:7 - [c201]Anurag Tripathi, Siddharth Srivastava, Santanu Chaudhury, Brejesh Lall:
Joint Image Classification and Annotation Prediction Using Iterative Learning on Local Neighbourhood. SMC 2018: 2085-2090 - [e6]Bhabatosh Chanda, Subhasis Chaudhuri, Santanu Chaudhury:
Heritage Preservation - A Computational Approach. Springer 2018, ISBN 978-981-10-7220-8 [contents] - [i10]Deepak Mishra, Santanu Chaudhury, Mukul Sarkar, Arvinder Singh Soin:
Unsupervised Despeckling. CoRR abs/1801.03318 (2018) - [i9]Deepak Mishra, Rajeev Ranjan, Santanu Chaudhury, Mukul Sarkar, Arvinder Singh Soin:
Locate, Segment and Match: A Pipeline for Object Matching and Registration. CoRR abs/1805.00223 (2018) - [i8]Deepak Mishra, A. P. Prathosh, Aravind Jayendran, Prashant Pandey, Santanu Chaudhury:
NEMGAN: Noise Engineered Mode-matching GAN. CoRR abs/1811.03692 (2018) - 2017
- [j56]Mansi Sharma, Santanu Chaudhury, Brejesh Lall:
A Novel Hybrid Kinect-Variety-Based High-Quality Multiview Rendering Scheme for Glass-Free 3D Displays. IEEE Trans. Circuits Syst. Video Technol. 27(10): 2098-2117 (2017) - [c200]Ayush Shukla, Rishabjit Singh, Rishabh Agarwal, Muhammad Suhail, Subir K. Saha, Santanu Chaudhury:
Development of a Low-Cost Education Platform: RoboMuse 4.0. AIR 2017: 38:1-38:6 - [c199]Ram Mohan, Muhammad Arif, Jobin Wilson, Santanu Chaudhury, Brejesh Lall:
Code-Borrowedness of English words in Hindi Language. CODS 2017: 11:1-11:2 - [c198]Siddharth Srivastava, Swati Bhugra, Brejesh Lall, Santanu Chaudhury:
Drought Stress Classification Using 3D Plant Models. ICCV Workshops 2017: 2046-2054 - [c197]Dipankar Ganguly, Sumeet Agarwal, Santanu Chaudhury:
Improving Classical OCRs for Brahmic Scripts Using Script Grammar Learning. MOCR@ICDAR 2017: 37-41 - [c196]Manoj Sharma, Anupama Ray, Santanu Chaudhury, Brejesh Lall:
A Noise-Resilient Super-Resolution Framework to Boost OCR Performance. ICDAR 2017: 466-471 - [c195]Deepti Goel, Santanu Chaudhury, Hiranmay Ghosh:
Multimedia ontology based complementary garment recommendation. ICME Workshops 2017: 208-213 - [c194]Manoj Sharma, Santanu Chaudhury, Brejesh Lall:
Deep learning based frameworks for image super-resolution and noise-resilient super-resolution. IJCNN 2017: 744-751 - [c193]Deepak Mishra, Santanu Chaudhury, Mukul Sarkar, Arvinder Singh Soin:
Edge Aware Geometric Filter for Ultrasound Image Enhancement. MIUA 2017: 109-120 - [c192]Swati Bhugra, Anupama Anupama, Santanu Chaudhury, Brejesh Lall, Archana Chugh:
Phenotyping of xylem vessels for drought stress analysis in rice. MVA 2017: 428-431 - [c191]Manoj Sharma, Rudrabha Mukhopadhyay, Santanu Chaudhury, Brejesh Lall:
An End-to-End Deep Learning Framework for Super-Resolution Based Inpainting. NCVPRIPG 2017: 198-208 - [c190]Swati Bhugra, Anupama Anupama, Santanu Chaudhury, Brejesh Lall, Archana Chugh:
Multi-modal Image Analysis for Plant Stress Phenotyping. NCVPRIPG 2017: 269-280 - [c189]Shubham Dokania, Ayush Chopra, Feroz Ahmad, S. Indu, Santanu Chaudhury:
Unsupervised Feature Descriptors Based Facial Tracking over Distributed Geospatial Subspaces. PReMI 2017: 196-202 - [c188]Chetan Ralekar, Tapan K. Gandhi, Santanu Chaudhury:
Unlocking the Mechanism of Devanagari Letter Identification Using Eye Tracking. PReMI 2017: 219-226 - [c187]