- Mark Hamilton, Zhoutong Zhang, Bharath Hariharan, Noah Snavely, William T. Freeman:
Unsupervised Semantic Segmentation by Distilling Feature Correspondences. ICLR 2022 - 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 - Huiwen Chang, Han Zhang, Lu Jiang, Ce Liu, William T. Freeman:
MaskGIT: Masked Generative Image Transformer. CoRR abs/2202.04200 (2022) - Mark Hamilton, Zhoutong Zhang, Bharath Hariharan, Noah Snavely, William T. Freeman:
Unsupervised Semantic Segmentation by Distilling Feature Correspondences. CoRR abs/2203.08414 (2022) - Deqing Sun, Charles Herrmann, Fitsum A. Reda, Michael Rubinstein, David J. Fleet, William T. Freeman:
What Makes RAFT Better Than PWC-Net? CoRR abs/2203.10712 (2022) - Miriam Cha, Kuan Wei Huang, Morgan Schmidt, Gregory Angelides, Mark Hamilton, Sam Goldberg, Armando Cabrera, Phillip Isola, Taylor Perron, Bill Freeman, Yen-Chen Lin, Brandon Swenson, Jean E. Piou:
MultiEarth 2022 - Multimodal Learning for Earth and Environment Workshop and Challenge. CoRR abs/2204.07649 (2022) - Vijay Gadepally, Gregory Angelides, Andrei Barbu, Andrew Bowne, Laura J. Brattain, Tamara Broderick
, Armando Cabrera, Glenn Carl, Ronisha Carter, Miriam Cha, Emilie Cowen, Jesse Cummings, Bill Freeman, James R. Glass, Sam Goldberg, Mark Hamilton, Thomas Heldt, Kuan Wei Huang, Phillip Isola, Boris Katz, Jamie Koerner, Yen-Chen Lin, David Mayo, Kyle McAlpin, Taylor Perron, Jean E. Piou, Hrishikesh M. Rao, Hayley Reynolds, Kaira Samuel, Siddharth Samsi, Morgan Schmidt, Leslie Shing, Olga Simek, Brandon Swenson, Vivienne Sze, Jonathan Taylor, Paul Tylkin, Mark Veillette, Matthew L. Weiss, Allan B. Wollaber, Sophia Yuditskaya, Jeremy Kepner:
Developing a Series of AI Challenges for the United States Department of the Air Force. CoRR abs/2207.07033 (2022) - Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Ambrus, Adrien Gaidon, William T. Freeman, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann:
Seeing 3D Objects in a Single Image via Self-Supervised Static-Dynamic Disentanglement. CoRR abs/2207.11232 (2022) - Safa C. Medin, Amir Weiss, Frédo Durand, William T. Freeman, Gregory W. Wornell:
Can Shadows Reveal Biometric Information? CoRR abs/2209.10077 (2022) - Arjun R. Akula, Brendan Driscoll, Pradyumna Narayana, Soravit Changpinyo, Zhiwei Jia, Suyash Damle, Garima Pruthi, Sugato Basu, Leonidas J. Guibas, William T. Freeman, Yuanzhen Li, Varun Jampani:
MetaCLUE: Towards Comprehensive Visual Metaphors Research. CoRR abs/2212.09898 (2022) - 2021
- Zhengqi Li
, Tali Dekel, Forrester Cole, Richard Tucker
, Noah Snavely, Ce Liu, William T. Freeman:
MannequinChallenge: Learning the Depths of Moving People by Watching Frozen People. IEEE Trans. Pattern Anal. Mach. Intell. 43(12): 4229-4241 (2021) - Sheila W. Seidel
, John Murray-Bruce
, Yanting Ma
, Christopher C. Yu, William T. Freeman
, Vivek K. Goyal
:
Two-Dimensional Non-Line-of-Sight Scene Estimation From a Single Edge Occluder. IEEE Trans. Computational Imaging 7: 58-72 (2021) - Yuanming Hu, Jiafeng Liu
, Xuanda Yang, Mingkuan Xu, Ye Kuang, Weiwei Xu, Qiang Dai, William T. Freeman, Frédo Durand:
QuanTaichi: a compiler for quantized simulations. ACM Trans. Graph. 40(4): 182:1-182:16 (2021) - Zhoutong Zhang, Forrester Cole, Richard Tucker, William T. Freeman, Tali Dekel:
Consistent depth of moving objects in video. ACM Trans. Graph. 40(4): 148:1-148:12 (2021) - Xiuming Zhang, Pratul P. Srinivasan, Boyang Deng, Paul E. Debevec, William T. Freeman, Jonathan T. Barron:
NeRFactor: neural factorization of shape and reflectance under an unknown illumination. ACM Trans. Graph. 40(6): 237:1-237:18 (2021) - 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 - Deqing Sun, Daniel Vlasic, Charles Herrmann, Varun Jampani, Michael Krainin, Huiwen Chang, Ramin Zabih, William T. Freeman, Ce Liu:
AutoFlow: Learning a Better Training Set for Optical Flow. CVPR 2021: 10093-10102 - Gengshan Yang, Deqing Sun, Varun Jampani, Daniel Vlasic, Forrester Cole, Huiwen Chang, Deva Ramanan
, William T. Freeman, Ce Liu:
LASR: Learning Articulated Shape Reconstruction From a Monocular Video. CVPR 2021: 15980-15989 - Andrei Zanfir, Eduard Gabriel Bazavan, Mihai Zanfir, William T. Freeman, Rahul Sukthankar, Cristian Sminchisescu:
Neural Descent for Visual 3D Human Pose and Shape. CVPR 2021: 14484-14493 - Varun Jampani, Huiwen Chang, Kyle Sargent, Abhishek Kar, Richard Tucker, Michael Krainin, Dominik Kaeser, William T. Freeman, David Salesin, Brian Curless, Ce Liu:
SLIDE: Single Image 3D Photography with Soft Layering and Depth-aware Inpainting. ICCV 2021: 12498-12507 - Oran Lang, Yossi Gandelsman, Michal Yarom, Yoav Wald, Gal Elidan, Avinatan Hassidim, William T. Freeman, Phillip Isola, Amir Globerson, Michal Irani, Inbar Mosseri:
Explaining in Style: Training a GAN to explain a classifier in StyleSpace. ICCV 2021: 673-682 - Prafull Sharma, Miika Aittala, Yoav Y. Schechner, Antonio Torralba, Gregory W. Wornell, William T. Freeman, Frédo Durand:
What You Can Learn by Staring at a Blank Wall. ICCV 2021: 2310-2319 - Mihai Zanfir, Andrei Zanfir, Eduard Gabriel Bazavan, William T. Freeman, Rahul Sukthankar, Cristian Sminchisescu:
THUNDR: Transformer-based 3D HUmaN Reconstruction with Markers. ICCV 2021: 12951-12960 - Laura E. Brandt
, William T. Freeman
:
Toward Automatic Interpretation of 3D Plots. ICDAR (2) 2021: 35-50 - Vincent Sitzmann, Semon Rezchikov, Bill Freeman, Josh Tenenbaum, Frédo Durand:
Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering. NeurIPS 2021: 19313-19325 - Mark Hamilton, Scott M. Lundberg, Lei Zhang, Stephanie Fu, William T. Freeman:
Model-Agnostic Explainability for Visual Search. CoRR abs/2103.00370 (2021) - Oran Lang, Yossi Gandelsman, Michal Yarom, Yoav Wald, Gal Elidan, Avinatan Hassidim, William T. Freeman, Phillip Isola, Amir Globerson, Michal Irani, Inbar Mosseri:
Explaining in Style: Training a GAN to explain a classifier in StyleSpace. CoRR abs/2104.13369 (2021) - Deqing Sun, Daniel Vlasic, Charles Herrmann, Varun Jampani, Michael Krainin, Huiwen Chang, Ramin Zabih, William T. Freeman, Ce Liu:
AutoFlow: Learning a Better Training Set for Optical Flow. CoRR abs/2104.14544 (2021) - Gengshan Yang, Deqing Sun, Varun Jampani, Daniel Vlasic, Forrester Cole, Huiwen Chang, Deva Ramanan, William T. Freeman, Ce Liu:
LASR: Learning Articulated Shape Reconstruction from a Monocular Video. CoRR abs/2105.02976 (2021) - 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)