Fuzzy based Pooling in Convolutional Neural Network for Image Classification T Sharma, V Singh, S Sudhakaran, NK Verma 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2019 | 41 | 2019 |
Object identification for inventory management using convolutional neural network NK Verma, T Sharma, SD Rajurkar, A Salour 2016 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-6, 2016 | 41 | 2016 |
Supervised approach for object identification using speeded up robust features P Agrawal, T Sharma, NK Verma International Journal of Advanced Intelligence Paradigms 15 (2), 165-182, 2020 | 29 | 2020 |
Estimating depth and global atmospheric light for image dehazing using type-2 fuzzy approach T Sharma, NK Verma IEEE Transactions on Emerging Topics in Computational Intelligence 6 (1), 93-102, 2020 | 27 | 2020 |
Image Dehazing for Object Recognition using Faster RCNN BT Nalla, T Sharma, NK Verma, SR Sahoo 2018 International Joint Conference on Neural Networks (IJCNN), 01-07, 2018 | 26 | 2018 |
Adaptive interval Type-2 fuzzy filter: an AI agent for handling uncertainties to preserve image naturalness T Sharma, NK Verma IEEE Transactions on Artificial Intelligence 2 (1), 83-92, 2021 | 18 | 2021 |
Vision based object counting using speeded up robust features for inventory control NK Verma, T Sharma, RK Sevakula, A Salour 2016 International Conference on Computational Science and Computational …, 2016 | 17 | 2016 |
Mixed fuzzy pooling in convolutional neural networks for image classification T Sharma, NK Verma, S Masood Multimedia Tools and Applications 82 (6), 8405-8421, 2023 | 16 | 2023 |
CSIDNet: Compact single image dehazing network for outdoor scene enhancement T Sharma, I Agrawal, NK Verma Multimedia Tools and Applications 79 (41), 30769-30784, 2020 | 13 | 2020 |
Object Counting using KAZE Features Under Different Lighting Conditions for Inventory Management T Sharma, A Jain, NK Verma, S Vasikarla 2019 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-7, 2019 | 13 | 2019 |
Improved adaptive type-2 fuzzy filter with exclusively two fuzzy membership function for filtering salt and pepper noise V Singh, P Agrawal, T Sharma, NK Verma Multimedia Tools and Applications 82 (13), 20015-20037, 2023 | 12 | 2023 |
A Review on Image Dehazing Algorithms for Vision based Applications in Outdoor Environment T Sharma, T Shah, NK Verma, S Vasikarla 2020 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-13, 2020 | 12 | 2020 |
Vision based counting of texture-less objects using shape and color features NK Verma, T Sharma, SD Rajurkar, R Ranjan, A Salour 2016 11th International Conference on Industrial and Information Systems …, 2016 | 12 | 2016 |
Addressing the challenge of biomedical data inequality: An artificial intelligence perspective Y Gao, T Sharma, Y Cui Annual review of biomedical data science 6 (1), 153-171, 2023 | 11 | 2023 |
DCNet: Dark Channel Network for single-image dehazing A Bhola, T Sharma, NK Verma Machine Vision and Applications 32 (3), 62, 2021 | 11 | 2021 |
Real-time monitoring of machines using open platform communication NK Verma, T Sharma, S Maurya, DJ Singh, A Salour 2017 IEEE International Conference on Prognostics and Health Management …, 2017 | 11 | 2017 |
Detection and Removal of Salt and Pepper Noise by Gaussian Membership Function and Guided Filter A Kumar, T Sharma, NK Verma, P Sircar, S Vasikarla 2019 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-9, 2019 | 10 | 2019 |
Detection of dust deposition using convolutional neural network for heritage images T Sharma, P Agrawal, NK Verma Computational Intelligence: Theories, Applications and Future Directions …, 2019 | 10 | 2019 |
Multi-faced object recognition in an image for inventory counting T Sharma, SD Rajurkar, N Molangur, NK Verma, A Salour Computational Intelligence: Theories, Applications and Future Directions …, 2019 | 10 | 2019 |
An efficient algorithm for image haze removal in outdoor environment H Dua, T Sharma, P Agrawal, NK Verma Computational Intelligence: Theories, Applications and Future Directions …, 2019 | 10 | 2019 |