Amy Zhao

According to our database, Amy Zhao authored at least 22 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Paper Agents, Paper Gains: An Empirical Analysis of DeFi Investment Agents.

Jay Yu, Amy Zhao, Danning Sui

CoRR, May, 2026

EgoPoseFormer v2: Accurate Egocentric Human Motion Estimation for AR/VR.

Zhenyu Li, Sai Kumar Dwivedi, Filip Maric, Carlos Chacón, Nadine Bertsch, Filippo Arcadu, Tomas Hodan, Michael Ramamonjisoa, Peter Wonka, Amy Zhao, Robin Kips, Cem Keskin, Anastasia Tkach, Chenhongyi Yang

CoRR, March, 2026

LLaMo: Scaling Pretrained Language Models for Unified Motion Understanding and Generation with Continuous Autoregressive Tokens.

Zekun Li, Sizhe An, Chengcheng Tang, Chuan Guo, Ivan Shugurov, Linguang Zhang, Amy Zhao, Srinath Sridhar, Lingling Tao, Abhay Mittal

CoRR, February, 2026

The CoinAlg Bind: Profitability-Fairness Tradeoffs in Collective Investment Algorithms.

Andrés Fábrega, James Austgen, Samuel Breckenridge, Jay Yu, Amy Zhao, Sarah Allen, Aditya Saraf, Ari Juels

CoRR, January, 2026

2025

BabyVLM-V2: Toward Developmentally Grounded Pretraining and Benchmarking of Vision Foundation Models.

Shengao Wang, Wenqi Wang, Zecheng Wang, Max Whitton, Michael Wakeham, Arjun Chandra, Joey Huang, Pengyue Zhu, Helen Chen, David Li, Jeffrey Li, Shawn Li, Andrew Zagula, Amy Zhao, Andrew Zhu, Sayaka Nakamura, Yuki Yamamoto, Jerry Jun Yokono, Aaron Mueller, Bryan A. Plummer, Kate Saenko, Venkatesh Saligrama, Boqing Gong

CoRR, December, 2025

b-privacy (Usenix security 26' cycle 1 828 artifact evaluation).

Samuel Breckenridge, Dani Vilardell, Andrés Fábrega, Amy Zhao, Ari Juels, Patrick McCorry

Dataset, December, 2025

b-privacy (Usenix security 26' cycle 1 828 artifact evaluation).

Samuel Breckenridge, Dani Vilardell, Andrés Fábrega, Amy Zhao, Ari Juels, Patrick McCorry

Dataset, December, 2025

B-Privacy: Defining and Enforcing Privacy in Weighted Voting.

Samuel Breckenridge, Dani Vilardell, Andrés Fábrega, Amy Zhao, Patrick McCorry, Rafael Solari, Ari Juels

CoRR, September, 2025

Geometric Neural Distance Fields for Learning Human Motion Priors.

Zhengdi Yu, Simone Foti, Linguang Zhang, Amy Zhao, Cem Keskin, Stefanos Zafeiriou, Tolga Birdal

CoRR, September, 2025

Voting-Bloc Entropy: A New Metric for DAO Decentralization.

Andrés Fábrega, Amy Zhao, Jay Yu, James Austgen, Sarah Allen, Kushal Babel, Mahimna Kelkar, Ari Juels

Proceedings of the 34th USENIX Security Symposium, 2025

2024

EgoBody3M: Egocentric Body Tracking on a VR Headset using a Diverse Dataset.

Amy Zhao, Chengcheng Tang, Lezi Wang, Yijing Li, Mihika Dave, Lingling Tao, Christopher D. Twigg, Robert Y. Wang

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Social Diffusion: Long-term Multiple Human Motion Anticipation.

Julian Tanke, Linguang Zhang, Amy Zhao, Chengcheng Tang, Yujun Cai, Lezi Wang, Po-Chen Wu, Juergen Gall, Cem Keskin

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2020

Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings.

Amy Zhao, Guha Balakrishnan, Kathleen M. Lewis, Frédo Durand, John V. Guttag, Adrian V. Dalca

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

VoxelMorph: A Learning Framework for Deformable Medical Image Registration.

Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca

IEEE Trans. Medical Imaging, 2019

Data augmentation using learned transforms for one-shot medical image segmentation.

Amy Zhao, Guha Balakrishnan, Frédo Durand, John V. Guttag, Adrian V. Dalca

CoRR, 2019

Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions.

Guha Balakrishnan, Adrian V. Dalca, Amy Zhao, John V. Guttag, Frédo Durand, William T. Freeman

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation.

Amy Zhao, Guha Balakrishnan, Frédo Durand, John V. Guttag, Adrian V. Dalca

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

An Unsupervised Learning Model for Deformable Medical Image Registration.

Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Synthesizing Images of Humans in Unseen Poses.

Guha Balakrishnan, Amy Zhao, Adrian V. Dalca, Frédo Durand, John V. Guttag

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

A Video-Based Method for Automatically Rating Ataxia.

Ronnachai Jaroensri, Amy Zhao, Guha Balakrishnan, Derek Lo, Jeremy D. Schmahmann, Frédo Durand, John V. Guttag

Proceedings of the Machine Learning for Healthcare Conference, 2017

2016

A Video-Based Method for Objectively Rating Ataxia.

Ronnachai Jaroensri, Amy Zhao, Guha Balakrishnan, Derek Lo, Jeremy D. Schmahmann, John V. Guttag, Frédo Durand

CoRR, 2016

2015

Estimating a Small Signal in the Presence of Large Noise.

Amy Zhao, Frédo Durand, John V. Guttag

Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015