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Weicheng (Eric) Kuo

I'm a research scientist in Google Brain Voyager Team working on the intersection of computer vision and natural language. Previously I was a research scientist at Google Brain Robotics, where I work on 2D/3D perception for robots.

I recently graduated from UC Berkeley with a PhD in Computer Science (Class of 2019, Thesis), where I was advised by Prof. Jitendra Malik. Prior to that, I received my bachelors from National Taiwan University summa cum laude (top 1% in class), and was honored to receive the Berkeley Graduate Fellowship.

Research

I'm interested in computer vision, machine learning, object recognition, and medical image analysis. Much of my research is about localizing objects/pathologies from natural or medical images. Representative papers are highlighted.

In summer 2015, I interned with Prof. William T Freeman and Ce Liu at Google Research, where I worked on dereflection algorithm which later was used in PhotoScan. In summer 2016, I worked as a research intern at Apple working on unsupervised video feature learning for better spatio-temporal localization. From May 2018 to May 2019, I was a student researcher at Google Brain working with Tsung-Yi Lin on generalization of object segmentation (ShapeMask, ICCV 2019).

Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve
Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai
ECCV, 2020   (Spotlight Presentation)
Paper / Spotlight Talk (90 sec) / Full Talk (5 mins)
Expert-level detection of acute intracranial hemorrhage on head computed tomography using deep learning
Weicheng Kuo, Christian Haene, Pratik Mukherjee, Jitendra Malik, Esther Yuh
Proceedings of National Academy of Science (PNAS), 2019
Paper / Bibtex / UC Berkeley News / UCSF News / NVIDIA Blog.
safs_small ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors
Weicheng Kuo, Anelia Angelova, Jitendra Malik, Tsung-Yi Lin
ICCV, 2019   (Oral Presentation)
Paper / Bibtex / Google AI Blog / Code / Demo.
safs_small PatchFCN for Intracranial Hemorrhage Detection
Weicheng Kuo, Christian Haene, Pratik Mukherjee, Jitendra Malik, Esther Yuh
Arxiv, 2019
Paper / Bibtex.
safs_small From Lifestyle VLOGs to Everyday Interactions
David Fouhey, Weicheng Kuo, Alyosha Efros, Jitendra Malik
CVPR, 2018
Project Page.
safs_small Cost-Sensitive Active Learning for Intracranial Hemorrhage Detection
Weicheng Kuo, Christian Haene, Pratik Mukherjee, Jitendra Malik, Esther Yuh
MICCAI, 2018
Paper / Bibtex.
DeepBox: Learning Objectness with Convolutional Networks
Weicheng Kuo, Bharath Hariharan, Jitendra Malik
ICCV, 2015
Paper / Bibtex / Code
safs_small Virtual spatial modulation microscopy for resolution improvement
Weicheng Kuo, Yuan-Ta Shih,Hsun-Chia Hsu, Yu-Hsiang Cheng,Yi-Hua Liao,and Chi-Kuang Sun
Optics Express, 2013
Paper / Bibtex.
safs_small Real-time 3D OCT-guided core-needle biopsy
Weicheng Kuo, Jongsik Kim, Nathan D. Shemonski, Eric J. Chaney, Darold R. Spillman, Jr., and Stephen A. Boppart
Biomedical Optics Express, 2012   (Featured on the Journal Cover)
Paper / Bibtex.
safs_small Blu-ray disk lens as the objective of a miniaturized two-photon fluorescence microscope
Hsiang-Yu Chung,Weicheng Kuo,Yu-Hsiang Cheng,Che-Hang Yu,Shih-Hsuan Chia,Cheng-Yung Lin,Jie-Shin Chen,Huai-Jen Tsai, Andrey B. Fedotov, Anatoly A. Ivanov, Aleksei M. Zheltikov, and Chi-Kuang Sun
Optics Express, 2013
Paper / Bibtex.
safs_small Quantitative analysis of intrinsic skin aging in dermal papillae by in vivo harmonic generation microscopy
Yi-Hua Liao,Weicheng Kuo,Sin-Yo Chou, Cheng-Shiun Tsai, Guan-Liang Lin, Ming-Rung Tsai, Yuan-Ta Shih, Gwo-Giun Lee, and Chi-Kuang Sun
Biomedical Optics Express, 2014
Paper / Bibtex.
Teaching
cs188

Graduate Student Instructor, Introduction to Artificial Intelligence CS188 Spring 2016
Instructors: Prof. Pieter Abbeel and Prof. Anca Dragan

Graduate Student Instructor, Introduction to Machine Learning CS189 Fall 2015
Instructors: Prof. Alexei A. Efros and Dr. Isabelle Guyon

Graduate Student Instructor, Special Topics on Deep Learning CS294-131 Spring 2017
Instructors: Prof. Trevor Darrell and Prof. Dawn Song


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