1. [n.d.]. Advice for public. https://www.who.int/emergencies/diseases/novelcoronavirus-2019/advice-for-public. (Accessed on 04/28/2020). [n.d.]. Advice for public. https://www.who.int/emergencies/diseases/novelcoronavirus-2019/advice-for-public. (Accessed on 04/28/2020).
2. [n.d.]. Coronavirus impact: OTT and TV viewership spikes amidst social isolation - The Hindu BusinessLine. https://www.thehindubusinessline.com/infotech/coronavirus-impact-ott-and-tv-viewership-spikes-amidst-socialisolation/article31164454.ece. (Accessed on 04/28/2020). [n.d.]. Coronavirus impact: OTT and TV viewership spikes amidst social isolation - The Hindu BusinessLine. https://www.thehindubusinessline.com/infotech/coronavirus-impact-ott-and-tv-viewership-spikes-amidst-socialisolation/article31164454.ece. (Accessed on 04/28/2020).
3. Maintaining knowledge about temporal intervals
4. Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
5. Daniel Y Fu Mayee F Chen Frederic Sala Sarah M Hooper Kayvon Fatahalian and Christopher Ré. 2020. Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods. arXiv preprint arXiv:2002.11955 (2020). Daniel Y Fu Mayee F Chen Frederic Sala Sarah M Hooper Kayvon Fatahalian and Christopher Ré. 2020. Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods. arXiv preprint arXiv:2002.11955 (2020).