A novel fuzzy system for edge detection in noisy image using bacterial foraging. - Om Prakash Verma; Madasu Hanmandlu; Ashish Kumar Sultania; Anil Singh Parihar (Multidimens. Syst. Signal Process., 2013)

Contrast enhancement using entropy-based dynamic sub-histogram equalisation. - Anil Singh Parihar; Om Prakash Verma (IET Image Process., 2016)

Hierarchy Influenced Differential Evolution: A Motor Operation Inspired Approach. - Shubham Dokania; Ayush Chopra; Feroz Ahmad; Anil Singh Parihar (IJCCI, 2017)

An Optimal Fuzzy System for Edge Detection in Color Images Using Bacterial Foraging Algorithm. - Om Prakash Verma; Anil Singh Parihar (IEEE Trans. Fuzzy Syst., 2017)

Fuzzy-Contextual Contrast Enhancement. - Anil Singh Parihar; Om Prakash Verma; Chintan Khanna (IEEE Trans. Image Process., 2017)

TransSketchNet: Attention-Based Sketch Recognition Using Transformers. - Gaurav Jain; Shivang Chopra; Suransh Chopra; Anil Singh Parihar (ECAI, 2020)

Learning Summarised Messaging Through Mediated Differentiable Inter-Agent Learning. - Sharan Gopal; Rishabh Mathur; Shaunak Deshwal; Anil Singh Parihar (EUMAS/AT, 2020)

A Study on Dark Channel Prior based Image Enhancement Techniques. - Anil Singh Parihar; Gokul Gupta (ICCCNT, 2020)

Cluster Based Deep Contextual Reinforcement Learning for top-k Recommendations. - Anubha Kabra; Anu Agarwal; Anil Singh Parihar (CoRR, 2020)

mFlameGaze: Mobile-Based Flame Gazing for Improving Sustained Attention. - Divyashikha Sethia; Anil Singh Parihar; Aheli Ghosh; Tanish Grover; Deep Diwakar; Shivam Kumar; Utkarsh Tyagi (COMSNETS, 2021)

Content Based Bot Detection using Bot Language Model and BERT Embeddings. - Shubham Kumar; Shivang Garg; Yatharth Vats; Anil Singh Parihar (ICCCSP, 2021)

UndarkGAN: Low-light Image Enhancement with Cycle-consistent Adversarial Networks. - Anil Singh Parihar; Pratik Anand; Aditya Sharma; Amol Grover (ICCCSP, 2021)

HTGAN: An architecture for Hindi Text based Image Synthesis. - Anil Singh Parihar; Aditya Kaushik; Aditya Vikram Choudhary; Amit Kumar Singh (ICCCSP, 2021)

Survey and Comparison of Video Summarization Techniques. - Anil Singh Parihar; Ritvik Mittal; Prashuk Jain; Himanshu (ICCCSP, 2021)

Fusion-based simultaneous estimation of reflectance and illumination for low-light image enhancement. - Anil Singh Parihar; Kavinder Singh; Hrithik Rohilla; Gul Asnani (IET Image Process., 2021)

Multiview video summarization using video partitioning and clustering. - Anil Singh Parihar; Joyeeta Pal; Ishita Sharma (J. Vis. Commun. Image Represent., 2021)

Variational optimization based single image dehazing. - Kavinder Singh; Anil Singh Parihar (J. Vis. Commun. Image Represent., 2021)

SketchFormer: transformer-based approach for sketch recognition using vector images. - Anil Singh Parihar; Gaurav Jain; Shivang Chopra; Suransh Chopra (Multim. Tools Appl., 2021)

S-DCNN: stacked deep convolutional neural networks for malware classification. - Anil Singh Parihar; Shashank Kumar; Savya Khosla (Multim. Tools Appl., 2022)

Attention-Net: An Ensemble Sketch Recognition Approach Using Vector Images. - Gaurav Jain; Shivang Chopra; Suransh Chopra; Anil Singh Parihar (IEEE Trans. Cogn. Dev. Syst., 2022)

Potent Real-Time Recommendations Using Multimodel Contextual Reinforcement Learning. - Anubha Kabra; Anu Agarwal; Anil Singh Parihar (IEEE Trans. Comput. Soc. Syst., 2022)

A comprehensive survey on video frame interpolation techniques. - Anil Singh Parihar; Disha Varshney; Kshitija Pandya; Ashray Aggarwal (Vis. Comput., 2022)

Comparative Analysis of Attention-Based Sketch Recognition. - Animesh Pande; Aman Kukretti; Anil Singh Parihar (ICCCNT, 2023)

A Comparative Analysis of Deep Learning Based Human Action Recognition Algorithms. - Aman Kumar Pandey; Anil Singh Parihar (ICCCNT, 2023)

Analysis and Review of Image Super Resolution for Low Light Enhancement. - Bhuvan Sachdeva; Aryan Jain; Anil Singh Parihar (ICCCNT, 2023)

LTSum: Legal Text Summarizer. - Samarth Singhal; Siddhant Singh; Sandeep Yadav; Anil Singh Parihar (ICCCNT, 2023)

Densely connected convolutional transformer for single image dehazing. - Anil Singh Parihar; Abhinav Java (J. Vis. Commun. Image Represent., 2023)

DSE-Net: Deep simultaneous estimation network for low-light image enhancement. - Kavinder Singh; Anil Singh Parihar (J. Vis. Commun. Image Represent., 2023)

Underwater Image Enhancement through Deep Learning and Advanced Convolutional Encoders. - Minal Tandekar; Anil Singh Parihar (ICCCNT, 2024)

MRN-LOD: Multi-exposure Refinement Network for Low-light Object Detection. - Kavinder Singh; Anil Singh Parihar (J. Vis. Commun. Image Represent., 2024)

FRN: Fusion and recalibration network for low-light image enhancement. - Kavinder Singh; Ashutosh Pandey; Akshat Agarwal; Mohit Kumar Agarwal; Aditya Shankar; Anil Singh Parihar (Multim. Tools Appl., 2024)

Illumination estimation for nature preserving low-light image enhancement. - Kavinder Singh; Anil Singh Parihar (Vis. Comput., 2024)

Bff: Bi-stream feature fusion for object detection in hazy environment. - Kavinder Singh; Anil Singh Parihar (Signal Image Video Process., 2024)

QANet: quaternion attention network for video summarization. - Vaani Garg; Anil Singh Parihar (J. Electronic Imaging, 2025)

QLight-Net: Quaternion based low light image enhancement network. - Sudeep Kumar Acharjee; Kavinder Singh; Anil Singh Parihar (J. Vis. Commun. Image Represent., 2025)

Uncertainty and Noise Aware Decision Making for Autonomous Vehicles: A Bayesian Approach. - Rewat Sachdeva; Raghav Gakhar; Sharad Awasthi; Kavinder Singh; Ashutosh Pandey; Anil Singh Parihar (IEEE Trans. Veh. Technol., 2025)

Deep decomposer and refiner for low-light image enhancement. - Piyush Vaish; Anil Singh Parihar (Signal Image Video Process., 2025)

Evolution of transformer-based optical flow estimation techniques: a survey. - Nihal Kumar; Om Prakash Verma; Anil Singh Parihar (Multim. Tools Appl., 2025)