Yi Yang (杨亿)

I believe in Jesus Christ. 我相信耶稣基督。

I am currently a research scientist at Google DeepMind. My research interests are self-supervised visual representation learning of motion, depth and object segmentation for robotics.

Previously, I was a research scientist at Baidu Research from 2013 to 2018. I obtained my Ph.D. degree at UC Irvine advised by Prof. Deva Ramanan in 2013. I had summer internships at Google and Microsoft Research. I obtained my master degree at Hong Kong University of Science and Technology in 2008, and bachelor degree at Tsinghua University in 2006.

Full publication list: Google Scholar

Selected Publications

TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement
ICCV 2023

TAP-Vid: A Benchmark for Tracking Any Point in a Video
NeurIPS 2022

UnOS: Unified Unsupervised Optical-flow and Stereo-depth Estimation by Watching Videos
CVPR 2019

Occlusion Aware Unsupervised Learning of Optical Flow
CVPR 2018

Attention to Scale: Scale-aware Semantic Image Segmentation
CVPR 2016

Deep Captioning with Multimodal Recurrent Neural Networks
ICLR 2015

Recognizing Proxemics in Personal Photos
CVPR 2012

Articulated Pose Estimation with Flexible Mixtures of Parts
CVPR 2011

Layered Object Detection for Multi-Class Segmentation
CVPR 2010