Stanford University CS231n: Deep Learning for Computer Vision

Office Hours

Time: Check the Calendar at the bottom of this page. We'll generally try to have coverage over the entire week to accomodate all students.
Software: We'll be using Zoom to hold office hours and QueueStatus to setup queues for 1:1 office hours (please see Canvas or Ed for the QueueStatus link). TAs will admit students to their Zoom meeting rooms one at a time using QueueStatus for 1:1 office hours. Please see the Help page on QueueStatus for information on how to create an account and sign up for a queue. Group office hours do not have a queue; you may join at any time. Some TAs may hold in-person office hours (see their calendar event descriptions for details).
Staff Information: Each TA's schedule and areas of expertise are listed in the staff information section below.
Faculty Office Hours: Office hours with Jiajun Wu and Ruohan Gao are held over Zoom and can be booked through their Calendly pages. Click here for Jiajun's Calendly and here for Ruohan's Calendly.
No Code Show Policy: TAs have been asked to not look at students' code during office hours as students are expected to know how to debug issues with their own code.

These are the usual staff members who will be at each session, along with their areas of expertise (which may be useful for finding project advice).

Day	Staff
Mon	Drew vision, GANs, neural rendering	Yinan GANs, 3D vision, inverse graphics	Zhuoyi Object detection, scene graph generation, activity parsing; health care
Tue	Mihir Autonomy, multi-object tracking, 3D vision, robotics (social navigation)	Manasi Image classification, image augmentation, 3D vision; astrophysics	Stephen Video understanding, action recognition, medical imaging, multi-task learning; healthcare	Dhruva CV, RL, NLP
Wed	Agrim RL, videos, detection; robotics, autonomous vehicles	Manasi Image classification, image augmentation, 3D vision; astrophysics	William 3D vision, robot learning	Gokul RL, robot learning, simulation; robotics, autonomous vehicles
Thu	Shyamal Videos, vision+language	Bohan Robot learning; robotics	Dhruva CV, RL, NLP	Yinan GANs, 3D vision, inverse graphics
Fri	Agrim RL, videos, detection; robotics, autonomous vehicles	Moo Jin Robot learning, RL; robotics	Stephen Video understanding, action recognition, medical imaging, multi-task learning; healthcare	Sumith Video ML, human motion (sports/exercises)
Sat	Hongyu Graph neural networks	Bohan Robot learning; robotics
Sun	Haochen Robot learning; robotics	Bohan Robot learning; robotics