Erika Lu

According to our database, Erika Lu authored at least 11 papers between 2017 and 2023.

Collaborative distances:

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

2023

ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs.

Viraj Shah, Nataniel Ruiz, Forrester Cole, Erika Lu, Svetlana Lazebnik, Yuanzhen Li, Varun Jampani

CoRR, 2023

Omnimatte3D: Associating Objects and Their Effects in Unconstrained Monocular Video.

Mohammed Suhail, Erika Lu, Zhengqi Li, Noah Snavely, Leonid Sigal, Forrester Cole

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Self-supervised AutoFlow.

Hsin-Ping Huang, Charles Herrmann, Junhwa Hur, Erika Lu, Kyle Sargent, Austin Stone, Ming-Hsuan Yang, Deqing Sun

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Associating Objects and Their Effects in Video through Coordination Games.

Erika Lu, Forrester Cole, Weidi Xie, Tali Dekel, Bill Freeman, Andrew Zisserman, Michael Rubinstein

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

On the Origin of Species of Self-Supervised Learning.

Samuel Albanie, Erika Lu, João F. Henriques

CoRR, 2021

Self-supervised Video Object Segmentation by Motion Grouping.

Charig Yang, Hala Lamdouar, Erika Lu, Andrew Zisserman, Weidi Xie

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Omnimatte: Associating Objects and Their Effects in Video.

Erika Lu, Forrester Cole, Tali Dekel, Andrew Zisserman, William T. Freeman, Michael Rubinstein

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Layered neural rendering for retiming people in video.

Erika Lu, Forrester Cole, Tali Dekel, Weidi Xie, Andrew Zisserman, David Salesin, William T. Freeman, Michael Rubinstein

ACM Trans. Graph., 2020

MAST: A Memory-Augmented Self-Supervised Tracker.

Zihang Lai, Erika Lu, Weidi Xie

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

2018

Class-Agnostic Counting.

Erika Lu, Weidi Xie, Andrew Zisserman

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

Learning to See Physics via Visual De-animation.

Jiajun Wu, Erika Lu, Pushmeet Kohli, Bill Freeman, Josh Tenenbaum

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017