Yi Yang (杨亿)

I believe solely in Jesus. 我独信耶稣。

I am currently a Research Scientist at Google DeepMind, where my research focuses on self-supervised visual representation learning for robotics.

Previously, I was a Research Scientist at Baidu Research from 2013 to 2018. I received my Ph.D. from UC Irvine in 2013 under the supervision of Prof. Deva Ramanan. During my graduate studies, I completed summer internships at Microsoft Research (2011) and Google (2012). I finished my master study at the Hong Kong University of Science and Technology in 2008 and bachelor study at Tsinghua University in 2006.

Full publications: Google Scholar

Yi Yang

Selected Publications

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TAPNext: Tracking Any Point (TAP) as Next Token Prediction
ICCV 2025

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TAPVid-3D: A Benchmark for Tracking Any Point in 3D
NeurIPS 2024

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RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation
ICRA 2024

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

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

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

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Occlusion Aware Unsupervised Learning of Optical Flow
CVPR 2018

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

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Deep Captioning with Multimodal Recurrent Neural Networks
ICLR 2015

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Recognizing Proxemics in Personal Photos
CVPR 2012

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Articulated Pose Estimation with Flexible Mixtures of Parts
CVPR 2011

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Layered Object Detection for Multi-Class Segmentation
CVPR 2010