Weicheng Kuo

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).

Please go to my Google scholar profile for my up-to-date publications.

	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.
	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.
	PatchFCN for Intracranial Hemorrhage Detection Weicheng Kuo, Christian Haene, Pratik Mukherjee, Jitendra Malik, Esther Yuh Arxiv, 2019 Paper / Bibtex.
	From Lifestyle VLOGs to Everyday Interactions David Fouhey, Weicheng Kuo, Alyosha Efros, Jitendra Malik CVPR, 2018 Project Page.
	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
	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.
	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.
	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.
	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.