Update README.md

README.md

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 # Enhancing Visual Place Recognition via Fast and Slow Adaptive Biasing in Event Cameras
 
-[![Project Video](https://img.shields.io/badge/Video-Watch-red)](https://www.youtube.com/watch?v=8D9gtHqteEQ)[![Website](https://img.shields.io/badge/Website-Visit-blue)](https://gokulbnr.github.io/publication/dvs-biasing-vpr)[![GitHub](https://img.shields.io/badge/GitHub-Repository-blue)](https://github.com/gokulbnr/fast-slow-biased-event-vpr)[![Preprint](https://img.shields.io/badge/Preprint-Read-orange)](https://arxiv.org/abs/2403.16425)[![DOI](https://img.shields.io/badge/IEEE%20Xplore-Read-blue?style=for-the-badge&logo=openaccess)](https://ieeexplore.ieee.org/document/10802384)
+[![Project Video](https://img.shields.io/badge/Video-Watch-red?style=for-the-badge&logo=youtube)](https://www.youtube.com/watch?v=8D9gtHqteEQ)
+[![Website](https://img.shields.io/badge/Website-Visit-blue?style=for-the-badge&logo=googlechrome)](https://gokulbnr.github.io/publication/dvs-biasing-vpr)
+[![GitHub](https://img.shields.io/badge/GitHub-Repository-black?style=for-the-badge&logo=github)](https://github.com/gokulbnr/fast-slow-biased-event-vpr)
+[![arXiv](https://img.shields.io/badge/arXiv-Version-b31b1b?style=for-the-badge&logo=arxiv)](https://arxiv.org/abs/2403.16425)
+[![IEEE Xplore](https://img.shields.io/badge/IEEE%20Xplore-Read-blue?style=for-the-badge&logo=openaccess)](https://ieeexplore.ieee.org/document/10802384)
 
 
 Welcome to the official **QCR-Fast-Slow-Event-Dataset** dataset repository attached to the paper [**Enhancing Visual Place Recognition via Fast and Slow Adaptive Biasing in Event Cameras**](https://arxiv.org/abs/2403.16425), to be presented at the 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024). This work introduces feedback control algorithms that dynamically change bias parameters for event-cameras to stabilize event-rate in an online manner. The work reports improvements in visual place recognition performances across variations in environment brightness conditions, validated through comprehensive real-time evaluations using a new [QCR-Fast-and-Slow-Event-Dataset](https://huggingface.co/datasets/gokulbnr/QCR-Fast-Slow-Event-Dataset).