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Avinash Upadhyay
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2020 – today
- 2024
- [j1]Ankit Shukla, Avinash Upadhyay, Manoj Sharma, Anil K. Saini, Nuzhat Fatema, Hasmat Malik, Asyraf Afthanorhan, Mohammad Asef Hossaini:
A Novel Zero-Shot Real World Spatio-Temporal Super-Resolution (ZS-RW-STSR) Model for Video Super-Resolution. IEEE Access 12: 123969-123984 (2024) - [c11]Ankit Shukla, Avinash Upadhyay, Swati Bhugra, Manoj Sharma:
Opinion Unaware Image Quality Assessment via Adversarial Convolutional Variational Autoencoder. WACV 2024: 2142-2152 - [i4]Avinash Upadhyay, Bhipanshu Dhupar, Manoj Sharma, Ankit Shukla, Ajith Abraham:
LWIRPOSE: A novel LWIR Thermal Image Dataset and Benchmark. CoRR abs/2404.10212 (2024) - [i3]Nikhil Kumar, Avinash Upadhyay, Shreya Sharma, Manoj Sharma, Pravendra Singh:
MWIRSTD: A MWIR Small Target Detection Dataset. CoRR abs/2406.08063 (2024) - [i2]Avinash Upadhyay, Manoj Sharma, Prerana Mukherjee, Amit Singhal, Brejesh Lall:
A Comprehensive Survey on Synthetic Infrared Image synthesis. CoRR abs/2408.06868 (2024) - 2023
- [c10]Sudeep Rathore, Avinash Upadhyay, Manoj Sharma, Ajay Yadav, G. Shyam Chand, Amit Singhal, Prerana Mukherjee, Brejesh Lall:
Cross-Domain Feature Extraction Using CycleGAN for Large FoV Thermal Image Creation. CVIP (3) 2023: 65-77 - 2022
- [c9]Ankit Shukla, Avinash Upadhyay, Manoj Sharma, Viswanathan Chinnusamy, Sudhir Kumar:
High-Resolution NIR Prediction from RGB Images: Application to Plant Phenotyping. ICIP 2022: 4058-4062 - 2021
- [c8]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 - [c7]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
2010 – 2019
- 2019
- [c6]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 - [c5]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 - [c4]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 - [c3]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 - [i1]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
- [c2]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 - [c1]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
Coauthor Index
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