added multicut paper summary to repo and updated the formatting of the tracking section;

Author: abhineet123

ReadMe.md

@@ -4,24 +4,29 @@ Collection of papers and other resources for object detection and tracking using
 - **Mask R-CNN** ([pdf](https://github.com/abhineet123/Deep-Learning-for-Tracking-and-Detection/blob/master/Object%20Detection/Xizhou%20Zhu%2C%20Deep%20Feature%20Flow%20For%20Video%20Recognition%2C%202016.pdf), [arxiv](https://arxiv.org/abs/1703.06870), [github](https://github.com/CharlesShang/FastMaskRCNN)) by Facebook AI Research!
   * Summary goes here...
 ## Object Tracking
-- **Learning to Track: Online Multi-object Tracking by Decision Making** (ICCV 2015) (Stanford) ([pdf](https://github.com/abhineet123/Deep-Learning-for-Tracking-and-Detection/blob/master/Tracking/Learning%20to%20Track%20Online%20Multi-object%20Tracking%20by%20Decision%20Making%20%20iccv15.pdf), [github (Matlab)](https://github.com/yuxng/MDP_Tracking), [project page](https://yuxng.github.io/))
-  * [Summary](https://github.com/abhineet123/Deep-Learning-for-Tracking-and-Detection/blob/master/Tracking/Summary/Learning%20to%20Track%20Online%20Multi-object%20Tracking%20by%20Decision%20Making%20%20iccv15.pdf)
-
-- **Tracking The Untrackable: Learning To Track Multiple Cues with Long-Term Dependencies** (arxiv April 2017) (Stanford) ([pdf](https://github.com/abhineet123/Deep-Learning-for-Tracking-and-Detection/blob/master/Tracking/Deep%20Learning/Tracking%20The%20Untrackable%20Learning%20To%20Track%20Multiple%20Cues%20with%20Long-Term%20Dependencies%20ax17_4.pdf), [arxiv](https://arxiv.org/abs/1701.01909), [project page](http://web.stanford.edu/~alahi/))
-  * [Summary](https://github.com/abhineet123/Deep-Learning-for-Tracking-and-Detection/blob/master/Tracking/Summary/Tracking%20The%20Untrackable%20Learning%20To%20Track%20Multiple%20Cues%20with%20Long-Term%20Dependencies.pdf)
+- Multi Object Tracking
+	- **Learning to Track: Online Multi-object Tracking by Decision Making** (ICCV 2015) (Stanford) ([pdf](https://github.com/abhineet123/Deep-Learning-for-Tracking-and-Detection/blob/master/Tracking/Learning%20to%20Track%20Online%20Multi-object%20Tracking%20by%20Decision%20Making%20%20iccv15.pdf), [github (Matlab)](https://github.com/yuxng/MDP_Tracking), [project page](https://yuxng.github.io/))
+	  * [Summary](https://github.com/abhineet123/Deep-Learning-for-Tracking-and-Detection/blob/master/Tracking/Summary/Learning%20to%20Track%20Online%20Multi-object%20Tracking%20by%20Decision%20Making%20%20iccv15.pdf)
 
-- **Near-Online Multi-target Tracking with Aggregated Local Flow Descriptor** (ICCV 2015) (NEC Labs) ([pdf](https://github.com/abhineet123/Deep-Learning-for-Tracking-and-Detection/blob/master/Tracking/Multi%20Target/Near-online%20multi-target%20tracking%20with%20aggregated%20local%20%EF%AC%82ow%20descriptor%20iccv15.pdf), [author page](http://www-personal.umich.edu/~wgchoi/))
-  * [Summary](https://github.com/abhineet123/Deep-Learning-for-Tracking-and-Detection/blob/master/Tracking/Summary/NOMT.pdf)
+	- **Tracking The Untrackable: Learning To Track Multiple Cues with Long-Term Dependencies** (arxiv April 2017) (Stanford) ([pdf](https://github.com/abhineet123/Deep-Learning-for-Tracking-and-Detection/blob/master/Tracking/Deep%20Learning/Tracking%20The%20Untrackable%20Learning%20To%20Track%20Multiple%20Cues%20with%20Long-Term%20Dependencies%20ax17_4.pdf), [arxiv](https://arxiv.org/abs/1701.01909), [project page](http://web.stanford.edu/~alahi/))
+	  * [Summary](https://github.com/abhineet123/Deep-Learning-for-Tracking-and-Detection/blob/master/Tracking/Summary/Tracking%20The%20Untrackable%20Learning%20To%20Track%20Multiple%20Cues%20with%20Long-Term%20Dependencies.pdf)
 
-- **Deep Reinforcement Learning for Visual Object Tracking in Videos** (arxiv April 2017) (USC-Santa Barbara, Samsung Research) ([pdf](https://github.com/abhineet123/Deep-Learning-for-Tracking-and-Detection/blob/master/Tracking/RL/Deep%20Reinforcement%20Learning%20for%20Visual%20Object%20Tracking%20in%20Videos%20ax17_4.pdf), [arxiv](https://arxiv.org/abs/1701.08936), [author page](http://www.cs.ucsb.edu/~dazhang/))
-  * [Summary](https://github.com/abhineet123/Deep-Learning-for-Tracking-and-Detection/blob/master/Tracking/Summary/Deep%20Reinforcement%20Learning%20for%20Visual%20Object%20Tracking%20in%20Videos.pdf)
-  
-- **Visual Tracking by Reinforced Decision Making** (arxiv February 2017) (Seoul National University, Chung-Ang University) ([pdf](https://github.com/abhineet123/Deep-Learning-for-Tracking-and-Detection/blob/master/Tracking/RL/Visual%20Tracking%20by%20Reinforced%20Decision%20Making%20ax17_2.pdf), [arxiv](https://arxiv.org/abs/1702.06291), [author page](http://cau.ac.kr/~jskwon/))
-  * [Summary](https://github.com/abhineet123/Deep-Learning-for-Tracking-and-Detection/blob/master/Tracking/Summary/Visual%20Tracking%20by%20Reinforced%20Decision%20Making%20ax17.pdf)
+	- **Near-Online Multi-target Tracking with Aggregated Local Flow Descriptor** (ICCV 2015) (NEC Labs) ([pdf](https://github.com/abhineet123/Deep-Learning-for-Tracking-and-Detection/blob/master/Tracking/Multi%20Target/Near-online%20multi-target%20tracking%20with%20aggregated%20local%20%EF%AC%82ow%20descriptor%20iccv15.pdf), [author page](http://www-personal.umich.edu/~wgchoi/))
+	  * [Summary](https://github.com/abhineet123/Deep-Learning-for-Tracking-and-Detection/blob/master/Tracking/Summary/NOMT.pdf)
+	  
+	- **A Multi-cut Formulation for Joint Segmentation and Tracking of Multiple Objects** (highest MT on MOT2015) (University of Freiburg, Germany) ([pdf](https://github.com/abhineet123/Deep-Learning-for-Tracking-and-Detection/blob/master/Tracking/Batch/A%20Multi-cut%20Formulation%20for%20Joint%20Segmentation%20and%20Tracking%20of%20Multiple%20Objects%20ax16_9%20%5Bbest%20MT%20on%20MOT15%5D.pdf), [arxiv](https://arxiv.org/abs/1607.06317), [author page](https://lmb.informatik.uni-freiburg.de/people/keuper/publications.html))
+	  * [Summary](https://github.com/abhineet123/Deep-Learning-for-Tracking-and-Detection/blob/master/Tracking/Summary/A_Multi-cut_Formulation_for_Joint_Segmentation_and_Tracking_of_Multiple_Objects.pdf)
+	  
+- Single Object Tracking
+	- **Deep Reinforcement Learning for Visual Object Tracking in Videos** (arxiv April 2017) (USC-Santa Barbara, Samsung Research) ([pdf](https://github.com/abhineet123/Deep-Learning-for-Tracking-and-Detection/blob/master/Tracking/RL/Deep%20Reinforcement%20Learning%20for%20Visual%20Object%20Tracking%20in%20Videos%20ax17_4.pdf), [arxiv](https://arxiv.org/abs/1701.08936), [author page](http://www.cs.ucsb.edu/~dazhang/))
+	  * [Summary](https://github.com/abhineet123/Deep-Learning-for-Tracking-and-Detection/blob/master/Tracking/Summary/Deep%20Reinforcement%20Learning%20for%20Visual%20Object%20Tracking%20in%20Videos.pdf)
+	  
+	- **Visual Tracking by Reinforced Decision Making** (arxiv February 2017) (Seoul National University, Chung-Ang University) ([pdf](https://github.com/abhineet123/Deep-Learning-for-Tracking-and-Detection/blob/master/Tracking/RL/Visual%20Tracking%20by%20Reinforced%20Decision%20Making%20ax17_2.pdf), [arxiv](https://arxiv.org/abs/1702.06291), [author page](http://cau.ac.kr/~jskwon/))
+	  * [Summary](https://github.com/abhineet123/Deep-Learning-for-Tracking-and-Detection/blob/master/Tracking/Summary/Visual%20Tracking%20by%20Reinforced%20Decision%20Making%20ax17.pdf)
 
-- **Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning** (CVPR 2017) (Seoul National University) ([pdf](https://drive.google.com/open?id=0B34VXh5mZ22cZUs2Umc1cjlBMFU), [project page](https://sites.google.com/view/cvpr2017-adnet)) 
+	- **Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning** (CVPR 2017) (Seoul National University) ([pdf](https://drive.google.com/open?id=0B34VXh5mZ22cZUs2Umc1cjlBMFU), [project page](https://sites.google.com/view/cvpr2017-adnet)) 
 
-- **End-to-end Active Object Tracking via Reinforcement Learning** (arxiv 30 May 2017) (Peking University, Tencent AI Lab) ([pdf](https://github.com/abhineet123/Deep-Learning-for-Tracking-and-Detection/blob/master/Tracking/RL/End-to-end%20Active%20Object%20Tracking%20via%20Reinforcement%20Learning%20ax17_5.pdf), [arxiv](https://arxiv.org/abs/1705.10561)
+	- **End-to-end Active Object Tracking via Reinforcement Learning** (arxiv 30 May 2017) (Peking University, Tencent AI Lab) ([pdf](https://github.com/abhineet123/Deep-Learning-for-Tracking-and-Detection/blob/master/Tracking/RL/End-to-end%20Active%20Object%20Tracking%20via%20Reinforcement%20Learning%20ax17_5.pdf), [arxiv](https://arxiv.org/abs/1705.10561)
 
 ## Other potentially useful papers
 - **Deep Feature Flow for Video Recognition** ([pdf](https://github.com/abhineet123/Deep-Learning-for-Tracking-and-Detection/blob/master/Object%20Detection/Kaiming%20He%2C%20Mask%20R-CNN%2C%202017.pdf), [arxiv](https://arxiv.org/abs/1611.07715), [github](https://github.com/msracver/Deep-Feature-Flow)) by Microsoft Research