Erika Lu

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 17

Top Topics

Cluttered Environments

Multimedia Objects

Supervised Learning

Top Venues

ACM Trans. Graph.

Publications

Viraj Shah, Nataniel Ruiz, Forrester Cole, Erika Lu, Svetlana Lazebnik, Yuanzhen Li, Varun Jampani
ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs. CoRR (2023)
Hsin-Ping Huang, Charles Herrmann, Junhwa Hur, Erika Lu, Kyle Sargent, Austin Stone, Ming-Hsuan Yang, Deqing Sun
Self-supervised AutoFlow. CVPR (2023)
Mohammed Suhail, Erika Lu, Zhengqi Li, Noah Snavely, Leonid Sigal, Forrester Cole
Omnimatte3D: Associating Objects and Their Effects in Unconstrained Monocular Video. CVPR (2023)
Erika Lu, Forrester Cole, Weidi Xie, Tali Dekel, Bill Freeman, Andrew Zisserman, Michael Rubinstein
Associating Objects and Their Effects in Video through Coordination Games. NeurIPS (2022)
Hsin-Ping Huang, Charles Herrmann, Junhwa Hur, Erika Lu, Kyle Sargent, Austin Stone, Ming-Hsuan Yang, Deqing Sun
Self-supervised AutoFlow. CoRR (2022)
Erika Lu, Forrester Cole, Tali Dekel, Andrew Zisserman, William T. Freeman, Michael Rubinstein
Omnimatte: Associating Objects and Their Effects in Video. CoRR (2021)
Samuel Albanie, Erika Lu, João F. Henriques
On the Origin of Species of Self-Supervised Learning. CoRR (2021)
Charig Yang, Hala Lamdouar, Erika Lu, Andrew Zisserman, Weidi Xie
Self-supervised Video Object Segmentation by Motion Grouping. CoRR (2021)
Charig Yang, Hala Lamdouar, Erika Lu, Andrew Zisserman, Weidi Xie
Self-supervised Video Object Segmentation by Motion Grouping. ICCV (2021)
Erika Lu, Forrester Cole, Tali Dekel, Andrew Zisserman, William T. Freeman, Michael Rubinstein
Omnimatte: Associating Objects and Their Effects in Video. CVPR (2021)
Erika Lu, Forrester Cole, Tali Dekel, Weidi Xie, Andrew Zisserman, David Salesin, William T. Freeman, Michael Rubinstein
Layered Neural Rendering for Retiming People in Video. CoRR (2020)
Erika Lu, Forrester Cole, Tali Dekel, Weidi Xie, Andrew Zisserman, David Salesin, William T. Freeman, Michael Rubinstein
Layered neural rendering for retiming people in video. ACM Trans. Graph. 39 (6) (2020)
Zihang Lai, Erika Lu, Weidi Xie
MAST: A Memory-Augmented Self-Supervised Tracker. CVPR (2020)
Zihang Lai, Erika Lu, Weidi Xie
MAST: A Memory-Augmented Self-supervised Tracker. CoRR (2020)
Erika Lu, Weidi Xie, Andrew Zisserman
Class-Agnostic Counting. ACCV (3) (2018)
Erika Lu, Weidi Xie, Andrew Zisserman
Class-Agnostic Counting. CoRR (2018)
Jiajun Wu, Erika Lu, Pushmeet Kohli, Bill Freeman, Josh Tenenbaum
Learning to See Physics via Visual De-animation. NIPS (2017)