Update README.md

Author: bryanyzhu

README.md

@@ -5,6 +5,13 @@ Current release is the PyTorch implementation of the "Towards Good Practices for
 If you find this implementation useful in your work, please acknowledge it appropriately and cite the paper or code accordingly:
 
 ```
+@article{zhu_arxiv2020_comprehensiveVideo,
+  title={A Comprehensive Study of Deep Video Action Recognition},
+  author={Yi Zhu, Xinyu Li, Chunhui Liu, Mohammadreza Zolfaghari, Yuanjun Xiong, Chongruo Wu, Zhi Zhang, Joseph Tighe, R. Manmatha, Mu Li},
+  journal={arXiv preprint arXiv:2012.06567},
+  year={2020}
+}
+
 @inproceedings{wang_eccv2016_tsn,
   title={Temporal Segment Networks: Towards Good Practices for Deep Action Recognition},
   author={Limin Wang, Yuanjun Xiong, Zhe Wang, Yu Qiao, Dahua Lin, Xiaoou Tang, Luc Van Gool},
@@ -21,7 +28,7 @@ If you find this implementation useful in your work, please acknowledge it appro
 }
 ```
 
-If you are looking for a good-to-use codebase with a large model zoo, please checkout the video toolkit at [GluonCV](https://gluon-cv.mxnet.io/model_zoo/action_recognition.html). We have SOTA model implementations (TSN, I3D, NLN, SlowFast, etc.) for popular datasets (Kinetics400, UCF101, Something-Something-v2, etc.). We will organize a tutorial of video modeling in [CVPR2020](https://cvpr20-video.mxnet.io/), please join us if you are interested. 
+If you are looking for a good-to-use codebase with a large model zoo, please checkout the video toolkit at [GluonCV](https://gluon-cv.mxnet.io/model_zoo/action_recognition.html). We have SOTA model implementations (TSN, I3D, NLN, SlowFast, etc.) for popular datasets (Kinetics400, UCF101, Something-Something-v2, etc.) in both PyTorch and MXNet. We also have accompaning [survey paper](https://arxiv.org/abs/2012.06567) and [video tutorial](https://bryanyzhu.github.io/videomodeling.github.io/).
 
 ## Installation