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ORCIDAnil Singh Parihar
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2020 – today
- 2024
[j18]Kavinder Singh, Anil Singh Parihar
:
MRN-LOD: Multi-exposure Refinement Network for Low-light Object Detection. J. Vis. Commun. Image Represent. 99: 104079 (2024)- [j17]Kavinder Singh, Ashutosh Pandey, Akshat Agarwal, Mohit Kumar Agarwal, Aditya Shankar, Anil Singh Parihar:
FRN: Fusion and recalibration network for low-light image enhancement. Multim. Tools Appl. 83(4): 12235-12252 (2024) - [j16]Kavinder Singh, Anil Singh Parihar:
Bff: Bi-stream feature fusion for object detection in hazy environment. Signal Image Video Process. 18(4): 3097-3107 (2024) - [j15]Kavinder Singh, Anil Singh Parihar:
Illumination estimation for nature preserving low-light image enhancement. Vis. Comput. 40(1): 121-136 (2024) - 2023
- [j14]Anil Singh Parihar, Abhinav Java:
Densely connected convolutional transformer for single image dehazing. J. Vis. Commun. Image Represent. 90: 103722 (2023) - [j13]Kavinder Singh, Anil Singh Parihar:
DSE-Net: Deep simultaneous estimation network for low-light image enhancement. J. Vis. Commun. Image Represent. 91: 103780 (2023) - [c13]Animesh Pande, Aman Kukretti, Anil Singh Parihar:
Comparative Analysis of Attention-Based Sketch Recognition. ICCCNT 2023: 1-6 - [c12]Aman Kumar Pandey, Anil Singh Parihar:
A Comparative Analysis of Deep Learning Based Human Action Recognition Algorithms. ICCCNT 2023: 1-7 - [c11]Bhuvan Sachdeva, Aryan Jain, Anil Singh Parihar:
Analysis and Review of Image Super Resolution for Low Light Enhancement. ICCCNT 2023: 1-7 - [c10]Samarth Singhal, Siddhant Singh, Sandeep Yadav, Anil Singh Parihar:
LTSum: Legal Text Summarizer. ICCCNT 2023: 1-6 - 2022
- [j12]Anil Singh Parihar, Shashank Kumar, Savya Khosla:
S-DCNN: stacked deep convolutional neural networks for malware classification. Multim. Tools Appl. 81(21): 30997-31015 (2022) - [j11]Gaurav Jain, Shivang Chopra, Suransh Chopra, Anil Singh Parihar:
Attention-Net: An Ensemble Sketch Recognition Approach Using Vector Images. IEEE Trans. Cogn. Dev. Syst. 14(1): 136-145 (2022) - [j10]Anubha Kabra, Anu Agarwal, Anil Singh Parihar:
Potent Real-Time Recommendations Using Multimodel Contextual Reinforcement Learning. IEEE Trans. Comput. Soc. Syst. 9(2): 581-593 (2022) - [j9]Anil Singh Parihar, Disha Varshney, Kshitija Pandya, Ashray Aggarwal:
A comprehensive survey on video frame interpolation techniques. Vis. Comput. 38(1): 295-319 (2022) - 2021
- [j8]Anil Singh Parihar, Kavinder Singh, Hrithik Rohilla, Gul Asnani:
Fusion-based simultaneous estimation of reflectance and illumination for low-light image enhancement. IET Image Process. 15(7): 1410-1423 (2021) - [j7]Anil Singh Parihar, Joyeeta Pal, Ishita Sharma:
Multiview video summarization using video partitioning and clustering. J. Vis. Commun. Image Represent. 74: 102991 (2021) - [j6]Kavinder Singh, Anil Singh Parihar:
Variational optimization based single image dehazing. J. Vis. Commun. Image Represent. 79: 103241 (2021) - [j5]Anil Singh Parihar, Gaurav Jain, Shivang Chopra, Suransh Chopra:
SketchFormer: transformer-based approach for sketch recognition using vector images. Multim. Tools Appl. 80(6): 9075-9091 (2021) - [c9]Divyashikha Sethia, Anil Singh Parihar, Aheli Ghosh, Tanish Grover, Deep Diwakar, Shivam Kumar, Utkarsh Tyagi:
mFlameGaze: Mobile-Based Flame Gazing for Improving Sustained Attention. COMSNETS 2021: 638-643 - [c8]Anil Singh Parihar, Pratik Anand, Aditya Sharma, Amol Grover:
UndarkGAN: Low-light Image Enhancement with Cycle-consistent Adversarial Networks. ICCCSP 2021: 1-7 - [c7]Anil Singh Parihar, Ritvik Mittal, Prashuk Jain, Himanshu:
Survey and Comparison of Video Summarization Techniques. ICCCSP 2021: 268-272 - [c6]Anil Singh Parihar, Aditya Kaushik, Aditya Vikram Choudhary, Amit Kumar Singh:
HTGAN: An architecture for Hindi Text based Image Synthesis. ICCCSP 2021: 273-279 - [c5]Shubham Kumar, Shivang Garg, Yatharth Vats, Anil Singh Parihar:
Content Based Bot Detection using Bot Language Model and BERT Embeddings. ICCCSP 2021: 285-289 - 2020
- [c4]Gaurav Jain, Shivang Chopra, Suransh Chopra, Anil Singh Parihar:
TransSketchNet: Attention-Based Sketch Recognition Using Transformers. ECAI 2020: 2907-2908 - [c3]Sharan Gopal, Rishabh Mathur, Shaunak Deshwal, Anil Singh Parihar:
Learning Summarised Messaging Through Mediated Differentiable Inter-Agent Learning. EUMAS/AT 2020: 546-557 - [c2]Anil Singh Parihar, Gokul Gupta:
A Study on Dark Channel Prior based Image Enhancement Techniques. ICCCNT 2020: 1-7 - [i1]Anubha Kabra, Anu Agarwal, Anil Singh Parihar:
Cluster Based Deep Contextual Reinforcement Learning for top-k Recommendations. CoRR abs/2012.02291 (2020)
2010 – 2019
- 2017
- [j4]Om Prakash Verma, Anil Singh Parihar:
An Optimal Fuzzy System for Edge Detection in Color Images Using Bacterial Foraging Algorithm. IEEE Trans. Fuzzy Syst. 25(1): 114-127 (2017) - [j3]Anil Singh Parihar, Om Prakash Verma, Chintan Khanna:
Fuzzy-Contextual Contrast Enhancement. IEEE Trans. Image Process. 26(4): 1810-1819 (2017) - [c1]Shubham Dokania, Ayush Chopra, Feroz Ahmad, Anil Singh Parihar:
Hierarchy Influenced Differential Evolution: A Motor Operation Inspired Approach. IJCCI 2017: 207-214 - 2016
- [j2]Anil Singh Parihar, Om Prakash Verma:
Contrast enhancement using entropy-based dynamic sub-histogram equalisation. IET Image Process. 10(11): 799-808 (2016) - 2013
- [j1]Om Prakash Verma, Madasu Hanmandlu, Ashish Kumar Sultania, Anil Singh Parihar:
A novel fuzzy system for edge detection in noisy image using bacterial foraging. Multidimens. Syst. Signal Process. 24(1): 181-198 (2013)
Coauthor Index
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last updated on 2024-10-07 22:12 CEST by the dblp team
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