Yinda Zhang
I am a Researsh Scientist at Google.
My research interests are mostly around computer vision and computer graphics. Recently, I focus on empowering 3D vision and percetion via machine learning, including dense depth estimation, 3D shape analysis, and 3D scene understanding.
I received my Ph.D. in Computer Science from Princeton University, advised by Professor Thomas Funkhouser. Before that, I received a Bachelor degree from Dept. Automation in Tsinghua University, and a Master degree from Dept. ECE in National University of Singapore co-supervised by Prof. Ping Tan and Prof. Shuicheng Yan.
Please check my personal webpage for more.
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Google
InstructPipe: Generating Visual Blocks Pipelines with Human Instructions and LLMs
Zhongyi Zhou
Jing Jin
Xiuxiu Yuan
Jun Jiang
Jingtao Zhou
Yiyi Huang
Kristen Wright
Jason Mayes
Mark Sherwood
Alex Olwal
Ram Iyengar
Na Li
Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI), ACM, pp. 23
ChatDirector: Enhancing Video Conferencing with Space-Aware Scene Rendering and Speech-Driven Layout Transition
Brian Moreno Collins
Alex Olwal
Karthik Ramani
Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems, ACM, pp. 16 (to appear)
Experiencing InstructPipe: Building Multi-modal AI Pipelines via Prompting LLMs and Visual Programming
Zhongyi Zhou
Jing Jin
Xiuxiu Yuan
Jun Jiang
Jingtao Zhou
Yiyi Huang
Kristen Wright
Jason Mayes
Mark Sherwood
Alex Olwal
Ram Iyengar
Na Li
Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems, ACM, pp. 5
Rapsai: Accelerating Machine Learning Prototyping of Multimedia Applications through Visual Programming
Na Li
Jing Jin
Michelle Carney
Scott Joseph Miles
Maria Kleiner
Xiuxiu Yuan
Anuva Kulkarni
Xingyu “Bruce” Liu
Ahmed K Sabie
Abhishek Kar
Ping Yu
Ram Iyengar
Alex Olwal
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI), ACM
Spectral Graphormer: Spectral Graph-based Transformer for Egocentric Two-Hand Reconstruction using Multi-View Color Images
Danhang "Danny" Tang
Franziska Müller
Jonathan Taylor
Mingsong Dou
Sasa Petrovic
Thabo Beeler
Tze Ho Elden Tse
Zhengyang Shen
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 14666-14677
Learning Personalized High Quality Volumetric Head Avatars from Monocular RGB Videos
Ziqian Bai
Danhang "Danny" Tang
Di Qiu
Abhimitra Meka
Mingsong Dou
Ping Tan
Thabo Beeler
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE
Opportunistic Interfaces for Augmented Reality: Transforming Everyday Objects into Tangible 6DoF Interfaces Using Ad hoc UI
Mathieu Le Goc
Alex Olwal
Shengzhi Wu
Danhang "Danny" Tang
Jun Zhang
David Joseph New Tan
Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems, ACM
PRIF: Primary Ray-based Implicit Function
Brandon Yushan Feng
Danhang "Danny" Tang
Amitabh Varshney
European Conference on Computer Vision (ECCV) (2022)
OmniSyn: Synthesizing 360 Videos with Wide-baseline Panoramas
Christian Haene
Danhang "Danny" Tang
Amitabh Varshney
2022 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), IEEE
Multiresolution Deep Implicit Functions for 3D Shape Representation
Zhang Chen
Kyle Genova
Sofien Bouaziz
Christian Haene
Cem Keskin
Danhang "Danny" Tang
ICCV (2021)
