Docs: Add information of new method

Author: maudzung

README.md

@@ -7,17 +7,26 @@ The PyTorch Implementation based on YOLOv4 of the paper: [Complex-YOLO: Real-tim
 
 ---
 
-## Demo
-
-![demo](./docs/demo_complex_yolo.gif)
-
 ## Features
 - [x] Realtime 3D object detection based on YOLOv4
 - [x] Support [distributed data parallel training](https://github.com/pytorch/examples/tree/master/distributed/ddp)
 - [x] Tensorboard
 - [x] Mosaic/Cutout augmentation for training
 - [x] Use [GIoU](https://arxiv.org/pdf/1902.09630v2.pdf) loss of rotated boxes for optimization.
-- [ ] Use [CIoU](https://arxiv.org/pdf/1911.08287.pdf) loss of rotated boxes for optimization.
+
+- **Update 2020.08.26**: [Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds](https://github.com/maudzung/Super-Fast-Accurate-3D-Object-Detection)
+    - Faster training, faster inference
+    
+    - An Anchor-free approach
+    
+    - No need for Non-Max-Suppression
+    
+    - Demonstration (on a GTX 1080Ti)
+
+[![demo](http://img.youtube.com/vi/FI8mJIXkgX4/0.jpg)](http://www.youtube.com/watch?v=FI8mJIXkgX4)
+
+
+**[Youtube link](https://youtu.be/FI8mJIXkgX4)**
 
 ## 2. Getting Started
 ### 2.1. Requirement