Hi Vartika, Not sure where’s the uploader for the record, but I have the link to the record attached here: https://zhiz-datastore.s3-us-west-2.amazonaws.com/cache/gluoncv_apache_mxnet_day_record.mp4 Please let me know the slack as well! Thank you for organizing.
Best, Zhi From: Vartika Singh <[email protected]> Date: Monday, November 30, 2020 at 10:28 PM To: "Zhang, Zhi" <[email protected]>, "[email protected]" <[email protected]> Cc: Triston Cao <[email protected]>, Sam Skalicky <[email protected]>, "Zha, Sheng" <[email protected]> Subject: [EXTERNAL] Present at Apache MXNet Day on GluonCV with Apache MXNet CAUTION: This email originated from outside of the organization. Do not click links or open attachments unless you can confirm the sender and know the content is safe. Hello Zhi, The Apache MXNet team has accepted your talk. We are very excited to have you present on this event. Your talk has been scheduled at 13:31 AM PST on Dec 14th for 15 minutes. The agenda/time is still evolving. We will inform you if there are any changes. Here is the updated website - https://s.apache.org/MXNet2020 Action Required: * We request you to send your recorded talk (15 minutes) to us by Dec 6th midnight PST. * Please respond by end of tomorrow to confirm your presentation and attendance. Question Answers: We plan to have a slack channel in parallel to your recording where you can respond to questions while your recording plays. We will add the slack channel names to the respective talks in a week. Please reach out if you have any questions. We will send out the webcast details by end of Wednesday. Thank you Vartika From: "Zhang, Zhi" <[email protected]> Date: Thursday, November 19, 2020 at 6:37 PM To: apachemxnetday <[email protected]> Subject: Apache mxnet day talks topic Hi, I would like to submit one topic to mxnet day, title and abstract follows: ## GluonCV with Apache-MXNet GluonCV is a deep learning toolkit for computer vision. It offers implementations of the state-of-the-art deep learning models, which is designed for engineers, researchers, and students to fast prototype products and research ideas based on these models. GluonCV was developed on top of apache-mxnet's gluon interface for easier composition of neural networks, with access to tons of convenient training/inference features in apache-mxnet. In apache-mxnet day we will introduce the models developed using apache-mxnet and how GluonCV benefits from the entire ecosystem. Best, Zhi
