Background
Hey
My research interests consist of learning how to move from raw pixels.
I’m currently a computer science PhD student at UT Austin advised by Philipp Krähenbühl from 2019-???
Previously an Intel AI Resident from 2018-2019 advised by Vladlen Koltun
I also did a BS in CS/Math and MS in CSEM at UT from 2013-2018.
Email: brady.zhou (at) utexas.edu
Desk: GDC 4.702E
Teaching
Fall 2020 - Assistant Instructor for CS342: Neural Networks (Covid Edition!)
Summer 2020 - Teaching Assistant for CS395T: Deep Learning
Fall 2019 - Teaching Assistant for CS342: Neural Networks
Fall 2016 - Teaching Assistant for CS312: Introduction to Programming
Research
| 2022 | |
|---|---|
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Cross-view Transformers for real-time Map-view Semantic Segmentation Brady Zhou, Philipp Krähenbühl CVPR 2022 [pdf] [code] . |
| 2020 | |
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Domain Adaptation through Task Distillation Brady Zhou*, Nimit Kalra*, Philipp Krähenbühl ECCV 2020 [pdf] [code] Visual recognition labels can be used to transfer across domains using distillation. |
| 2019 | |
|
Learning by Cheating Dian Chen, Brady Zhou, Vladlen Koltun, Philipp Krähenbühl CoRL 2019, Spotlight [pdf] [code] Learning from an agent trained on ground truth vision provides strong supervision and performs well in CARLA. |
|
Does computer vision matter for action? Brady Zhou, Philipp Krähenbühl, Vladlen Koltun Science Robotics 2019, Special Section on Computer Vision [link] [pdf] [code] Controlled experiments indicate that explicit intermediate representations help action. |
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Don't let your Discriminator be fooled Brady Zhou, Philipp Krähenbühl ICLR 2019 [link] [pdf] [poster] [code] A discriminator that is not easily fooled by adversarial examples makes GAN training more robust and leads to a smoother objective. |
| 2018 | |
|
GPU accelerated k-nearest neighbor kernel for sparse feature datasets Brady Zhou, George Biros UT MS Research [link] [pdf] [code] KNN on sparse features can be accelerated on the GPU using sparse GEMM routines and parallelized bitonic sort. |
Other
When I’m not working, I spend my time playing video games or watching people play video games on twitch.tv.
I also have two cat co-workers: Pig and Teddy.
