Get our free extension to see links to code for papers anywhere online!

Add to Chrome

Add to Firefox

Picture for Murari Mandal

Murari Mandal

An Empirical Review of Deep Learning Frameworks for Change Detection: Model Design, Experimental Frameworks, Challenges and Research Needs

May 04, 2021
Murari Mandal, Santosh Kumar Vipparthi

Figure 1 for An Empirical Review of Deep Learning Frameworks for Change Detection: Model Design, Experimental Frameworks, Challenges and Research Needs

Figure 2 for An Empirical Review of Deep Learning Frameworks for Change Detection: Model Design, Experimental Frameworks, Challenges and Research Needs

Figure 3 for An Empirical Review of Deep Learning Frameworks for Change Detection: Model Design, Experimental Frameworks, Challenges and Research Needs

Figure 4 for An Empirical Review of Deep Learning Frameworks for Change Detection: Model Design, Experimental Frameworks, Challenges and Research Needs

* IEEE Transactions on Intelligent Transportation Systems, Accepted

Access Paper or Ask Questions

Learning to Enhance Visual Quality via Hyperspectral Domain Mapping

Feb 10, 2021
Harsh Sinha, Aditya Mehta, Murari Mandal, Pratik Narang

Figure 1 for Learning to Enhance Visual Quality via Hyperspectral Domain Mapping

Figure 2 for Learning to Enhance Visual Quality via Hyperspectral Domain Mapping

Figure 3 for Learning to Enhance Visual Quality via Hyperspectral Domain Mapping

Figure 4 for Learning to Enhance Visual Quality via Hyperspectral Domain Mapping

* Accepted at AAAI Conference on Artificial Intelligence (AAAI), Student Abstract, 2020

Access Paper or Ask Questions

Improving Aerial Instance Segmentation in the Dark with Self-Supervised Low Light Enhancement

Feb 10, 2021
Prateek Garg, Murari Mandal, Pratik Narang

Figure 1 for Improving Aerial Instance Segmentation in the Dark with Self-Supervised Low Light Enhancement

Figure 2 for Improving Aerial Instance Segmentation in the Dark with Self-Supervised Low Light Enhancement

Figure 3 for Improving Aerial Instance Segmentation in the Dark with Self-Supervised Low Light Enhancement

Figure 4 for Improving Aerial Instance Segmentation in the Dark with Self-Supervised Low Light Enhancement

* Accepted at AAAI Conference on Artificial Intelligence (AAAI), Student Abstract, 2021

Access Paper or Ask Questions