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Erika Lu
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2020 – today
- 2023
- [c8]Mohammed Suhail, Erika Lu, Zhengqi Li, Noah Snavely, Leonid Sigal, Forrester Cole:
Omnimatte3D: Associating Objects and Their Effects in Unconstrained Monocular Video. CVPR 2023: 630-639 - [c7]Hsin-Ping Huang, Charles Herrmann, Junhwa Hur, Erika Lu, Kyle Sargent, Austin Stone, Ming-Hsuan Yang, Deqing Sun:
Self-supervised AutoFlow. CVPR 2023: 11412-11421 - [i8]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 abs/2311.13600 (2023) - 2022
- [c6]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 - [i7]Hsin-Ping Huang, Charles Herrmann, Junhwa Hur, Erika Lu, Kyle Sargent, Austin Stone, Ming-Hsuan Yang, Deqing Sun:
Self-supervised AutoFlow. CoRR abs/2212.01762 (2022) - 2021
- [c5]Erika Lu, Forrester Cole, Tali Dekel, Andrew Zisserman, William T. Freeman, Michael Rubinstein:
Omnimatte: Associating Objects and Their Effects in Video. CVPR 2021: 4507-4515 - [c4]Charig Yang, Hala Lamdouar, Erika Lu, Andrew Zisserman, Weidi Xie:
Self-supervised Video Object Segmentation by Motion Grouping. ICCV 2021: 7157-7168 - [i6]Samuel Albanie, Erika Lu, João F. Henriques:
On the Origin of Species of Self-Supervised Learning. CoRR abs/2103.17143 (2021) - [i5]Charig Yang, Hala Lamdouar, Erika Lu, Andrew Zisserman, Weidi Xie:
Self-supervised Video Object Segmentation by Motion Grouping. CoRR abs/2104.07658 (2021) - [i4]Erika Lu, Forrester Cole, Tali Dekel, Andrew Zisserman, William T. Freeman, Michael Rubinstein:
Omnimatte: Associating Objects and Their Effects in Video. CoRR abs/2105.06993 (2021) - 2020
- [j1]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): 256:1-256:14 (2020) - [c3]Zihang Lai, Erika Lu, Weidi Xie:
MAST: A Memory-Augmented Self-Supervised Tracker. CVPR 2020: 6478-6487 - [i3]Zihang Lai, Erika Lu, Weidi Xie:
MAST: A Memory-Augmented Self-supervised Tracker. CoRR abs/2002.07793 (2020) - [i2]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 abs/2009.07833 (2020)
2010 – 2019
- 2018
- [c2]Erika Lu, Weidi Xie, Andrew Zisserman:
Class-Agnostic Counting. ACCV (3) 2018: 669-684 - [i1]Erika Lu, Weidi Xie, Andrew Zisserman:
Class-Agnostic Counting. CoRR abs/1811.00472 (2018) - 2017
- [c1]Jiajun Wu, Erika Lu, Pushmeet Kohli, Bill Freeman, Josh Tenenbaum:
Learning to See Physics via Visual De-animation. NIPS 2017: 153-164
Coauthor Index
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