ICCV 2021 Mentorship Social Sessions
All times are Eastern Daylight Time
~ Freeform Events ~
Monday, October 11 4:00 PM – 6:00 PM
Thomas Y. Chen and Tori Yao Computer Vision for Earth
Deep learning and computer vision applications in the Earth sciences are wide-ranging, from the analysis of Earth observation data to the remote sensing of carbon emissions. Computer vision is a nascent tool to leverage to combat and adapt to climate change. At this social event, we convene researchers working at the nexus of geosciences and AI (particularly computer vision). The format is informal talks from two invited speakers and then a facilitated discussion among all attendees. If there is remaining time, we hope to stream a few talks and/or posters that we identify as relating to the AI-Earth nexus. We seek to elevate voices from regions with limited access to conferences and underserved communities. All are welcome, as we promote diversity, equity, and inclusion.
Tuesday, October 12 8:00 PM – 10:00 PM
Matthew Toews and Daniel Wedge ICCV 2021 Music
This event is designed to bring together musically interested individuals from the ICCV 2021 community. Participants are invited to share a piece of music or art, e.g. a video, an insight, or even a live virtual performance. Any instruments, pieces or skill levels are OK (keeping in mind the ICCV code of conduct and general tolerability, e.g. no offensive or painful noise). Original or unique music, with links to math and vision are particularly encouraged. The Fundamental Matrix song by Daniel Wedge will be featured. Interested performers may fill out the signup form in advance: https://forms.gle/FLkYStxauTUBEGwbA
Wednesday, October 13 10:00 AM – 12:00 PM AND Thursday, October 14 6:00 PM – 8:00 PM
Jennifer Hobbs and Sujoy Ganguly Lapsed Physicists Wine-and-Cheese
"Lapsed" (aka. Former) Physicists are plentiful in the machine learning community. Inspired by Wine and Cheese seminars at many institutions, this BYOWC (Bring Your Own Wine and Cheese) event is an informal opportunity to connect with members of the community.
Hear how others made the transition between fields. Discuss how your physics training prepared you to switch fields or what synergies between physics and machine learning excite you the most. Share your favorite physics jokes your computer science colleagues don't get, and just meet other cool people. Open to everyone, not only physicists; you'll just have to tolerate our humor. Wine and Cheese encouraged, but not required.
Wednesday, October 13 1:00 PM – 3:00 PM
Maja Pantic and Ning Zhang Facebook AI - Women Create
"Facebook AI - Women Create" Social Event focuses on motivating women in Computer Vision and Machine Learning to connect with local and international industry women in AI at Facebook.
How do we want to do this? We will deliver key messages about what we work on and what we value in Facebook through a combination of technical presentation & panel discussions to be delivered by leading female researchers in Computer Vision and Machine Learning in Facebook. We will share insights on:
* The freedom to explore CV & ML in Facebook showcasing specific technical examples of our products
* Motivation to stay at Facebook in ML
* How to prepare for the Post-doc and Research Scientist interview process
* Women who do well at Facebook / how we evaluate people
* How well does Facebook support women in AI in career progression
Who will be the main participants? Organisers: Maja Pantic & Ning Zhang. Technical Speakers: Shengxin Cindy Zha, Marija Jegorova and Natalia Neverova. Panelists: organisers, technical speakers and Joelle Pineau.
"Facebook AI - Women Create" Social Event focuses on motivating women in Computer Vision and Machine Learning to connect with local and international industry women in AI at Facebook.
How do we want to do this? We will deliver key messages about what we work on and what we value in Facebook through a combination of technical presentation & panel discussions to be delivered by leading female researchers in Computer Vision and Machine Learning in Facebook. We will share insights on:
* The freedom to explore CV & ML in Facebook showcasing specific technical examples of our products
* Motivation to stay at Facebook in ML
* How to prepare for the Post-doc and Research Scientist interview process
* Women who do well at Facebook / how we evaluate people
* How well does Facebook support women in AI in career progression
Who will be the main participants? Organisers: Maja Pantic & Ning Zhang. Technical Speakers: Shengxin Cindy Zha, Marija Jegorova and Natalia Neverova. Panelists: organisers, technical speakers and Joelle Pineau.
Thursday, October 14 12:00 PM – 2:00 PM AND Friday, October 15 12:00 PM – 2:00 PM
Liliane Momeni, Niveditha Kalavakonda, Arushi Goel and Tejaswi Kasarla Women in Computer Vision (WiCV) Social
WiCV Social will bring together young and experienced women researchers in industry and academia to network, share and discuss a wide range of topics such as - How to progress in research? How to maintain a work-life balance? Keeping up with the growing pace of research in computer vision? How to develop good networking and presentation skills?
Friday, October 15 8:00 AM – 10:00 AM
Bryan M. Williams and Ritesh Vyas H-Unique: Novel Biometrics and Forensics
Hard biometrics, such as fingerprints, are well understood and some soft biometrics are gaining traction within both biometric and forensic domains. A significant step change is required in the science to both reliably and repeatably extract and compare anatomical information from large numbers of images especially when the target is not in a standard position or when either the resolution or lighting in the image is not ideal.
Large datasets are vital for this work to be legally admissible. Through citizen engagement with science, we are building a ground-truth dataset of images from over 5,000 participants to examine anatomical variation, address the effects of variable image conditions on data extraction and to design algorithms that permit auto-pattern searching across large numbers of stored images of variable quality.
This event will be a forum for networking, discussion on the intersection of forensics, biometrics and computer vision, and provide an opportunity to take part in our citizen science dataset.
Friday, October 15 12:00 PM – 4:00 PM
Ching Lam Choi and Samarth Sinha Undergraduates in Computer Vision
The UG in CV Social is designed to connect undergrads in theoretical & applied Computer Vision research worldwide; to mingle, network, collaborate & innovate. We strive to compile & share resources about breaking into CV research & industry as undergraduates, via sharings, AMAs, student panels, with perspectives from renowned academics, industry leaders and fresh graduates.
* Format: The social will span ~4 hours, comprising 4 keynotes (2 each from academia & the industry), 1 student panel, 1 mingling/networking session, starting at EDT 12:00 pm and ending officially at 4:10 pm. * Invited Speakers: Professor Animesh Garg (University of Toronto, NVIDIA), Professor Zeynep Akata (University of Tübingen), Professor Hugo Larochelle (Google, Université de Montréal), Dr. Nan Rosemary Ke (Deepmind), Mr Samarth Sinha (Facebook), Mr Stephen Tian (Stanford), Mr Alex Yu (UC Berkeley), Miss Ching Lam Choi (CUHK, NVIDIA).
**Get Involved:** Please feel free to ask speakers and panelists anything here: https://forms.gle/B7bDZRaAvWNrg7hz8 (closes on Oct 14)!
~ Mentor Events ~
Tuesday, October 12 8:00 PM – 9:00 PM
| David Forsyth | Ask me anything! |
| Justin Johnson | Research, teaching, etc |
| Ming-Hsuan Yang | Research topics, career path, ask me anything |
| Tamara Berg | Ask me anything! |
| Peyman Milanfar | Academia vs. Industry, Research Topics, Ask me anything |
| Boxin Shi | AMA; Pursuing a CS Ph.D. in China |
| Tat-Jun Chin | Ask me anything! |
| Kris Kitani | Top 10 Tips for Meeting with your Advisor |
Wednesday, October 13 11:00 AM – 12:00 PM
| Torsten Sattler, Fatma Güney | The reviewing process |
| Sven Dickinson | Academia vs research labs, anything |
| Raquel Urtasun | Industry/academia, startup, etc |
| Georgia Gkioxari | Ask me anything! |
| Leonid Sigal | Research, Ask me anything |
| Olga Russakovsky | Balancing research and outreach, diversity and inclusion in academia |
| Lihi Zelnik | Academia vs industry; Productizing AI; Ask me anything |
Wednesday, October 13 8:00 PM – 9:00 PM
| Carl Vondrick | Ask Me anything |
| David Fleet | Life on the Google Research Brain Team - What we find exciting. |
| Michael Brown | Academics vs. industry |
| Jia-Bin Huang | Ask me anything |
| Adriana Kovashka | Ask me anything, coming up with a research agenda |
| Dimitris Samaras | Ask me anything |
| Kostas Daniilidis | Anything regarding research and academia |
| Kosta Derpanis | Ask me anything |
Thursday, October 14 8:00 PM – 9:00 PM
| Hyunjung Shim | Ask me anything |
| Xiaowei Zhou | Ask me anything |
| Gim Hee Lee | Ask me anything |
| David Crandall | Ask me anything |
| Bolei Zhou | Ask me anything, research topics |
| Angjoo Kanazawa | Ask me anything |
| Matthew Toews | Research, creativity, anything |
| Andrew Owens | Ask me anything |
| Christoph Feichtenhofer | Video understanding research / ask me anything |
| Marcus Brubaker | Ask me anything |
Friday, October 15 8:00 AM – 9:00 AM
| Zeynep Akata | Research topics, ask me anything |
| Laura Sevilla-Lara | Research, Video, AMA |
| Bjorn Ommer | Choosing a research topic; finding a PhD/postdoc position, job; other questions |
| Erik Learned-Miller | Ask me anything |
| Jiri Matas | Ask me anything |
| Chen Change Loy | Ask me anything |
| Gul Varol | Ask me anything |
| Shmuel Peleg | Startups: Quit studies or wait? |
| Minsu Cho | Ask me anything |