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2020 – today
- 2024
- [j7]Moshe Kimhi, Shai Kimhi, Evgenii Zheltonozhskii, Or Litany, Chaim Baskin:
Semi-Supervised Semantic Segmentation via Marginal Contextual Information. Trans. Mach. Learn. Res. 2024 (2024) - [c49]Mathis Petrovich, Or Litany, Umar Iqbal, Michael J. Black, Gül Varol, Xue Bin Peng, Davis Rempe:
Multi-Track Timeline Control for Text-Driven 3D Human Motion Generation. CVPR Workshops 2024: 1911-1921 - [c48]Chenfeng Xu, Huan Ling, Sanja Fidler, Or Litany:
3DiffTection: 3D Object Detection with Geometry-Aware Diffusion Features. CVPR 2024: 10617-10627 - [c47]Dávid Rozenberszki, Or Litany, Angela Dai:
UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes. CVPR 2024: 19957-19967 - [c46]Hanfeng Wu, Xingxing Zuo, Stefan Leutenegger, Or Litany, Konrad Schindler, Shengyu Huang:
Dynamic LiDAR Re-Simulation Using Compositional Neural Fields. CVPR 2024: 19988-19998 - [c45]Qunjie Zhou, Maxim Maximov, Or Litany, Laura Leal-Taixé:
The NeRFect Match: Exploring NeRF Features for Visual Localization. ECCV (24) 2024: 108-127 - [c44]Matan Atzmon, Jiahui Huang, Francis Williams, Or Litany:
Approximately Piecewise E(3) Equivariant Point Networks. ICLR 2024 - [c43]Jiawei Yang, Boris Ivanovic, Or Litany, Xinshuo Weng, Seung Wook Kim, Boyi Li, Tong Che, Danfei Xu, Sanja Fidler, Marco Pavone, Yue Wang:
EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision. ICLR 2024 - [c42]Jihyeon Je, Jiayi Liu, Guandao Yang, Boyang Deng, Shengqu Cai, Gordon Wetzstein, Or Litany, Leonidas J. Guibas:
Robust Symmetry Detection via Riemannian Langevin Dynamics. SIGGRAPH Asia 2024: 91:1-91:11 - [i63]Mathis Petrovich, Or Litany, Umar Iqbal, Michael J. Black, Gül Varol, Xue Bin Peng, Davis Rempe:
Multi-Track Timeline Control for Text-Driven 3D Human Motion Generation. CoRR abs/2401.08559 (2024) - [i62]Matan Atzmon, Jiahui Huang, Francis Williams, Or Litany:
Approximately Piecewise E(3) Equivariant Point Networks. CoRR abs/2402.08529 (2024) - [i61]Francis Engelmann, Ayça Takmaz, Jonas Schult, Elisabetta Fedele, Johanna Wald, Songyou Peng, Xi Wang, Or Litany, Siyu Tang, Federico Tombari, Marc Pollefeys, Leonidas J. Guibas, Hongbo Tian, Chunjie Wang, Xiaosheng Yan, Bingwen Wang, Xuanyang Zhang, Xiao Liu, Phuc Nguyen, Khoi Nguyen, Anh Tran, Cuong Pham, Zhening Huang, Xiaoyang Wu, Xi Chen, Hengshuang Zhao, Lei Zhu, Joan Lasenby:
OpenSUN3D: 1st Workshop Challenge on Open-Vocabulary 3D Scene Understanding. CoRR abs/2402.15321 (2024) - [i60]Qunjie Zhou, Maxim Maximov, Or Litany, Laura Leal-Taixé:
The NeRFect Match: Exploring NeRF Features for Visual Localization. CoRR abs/2403.09577 (2024) - [i59]Ido Sobol, Chenfeng Xu, Or Litany:
Zero-to-Hero: Enhancing Zero-Shot Novel View Synthesis via Attention Map Filtering. CoRR abs/2405.18677 (2024) - [i58]Ziyu Chen, Jiawei Yang, Jiahui Huang, Riccardo de Lutio, Janick Martinez Esturo, Boris Ivanovic, Or Litany, Zan Gojcic, Sanja Fidler, Marco Pavone, Li Song, Yue Wang:
OmniRe: Omni Urban Scene Reconstruction. CoRR abs/2408.16760 (2024) - [i57]Jihyeon Je, Jiayi Liu, Guandao Yang, Boyang Deng, Shengqu Cai, Gordon Wetzstein, Or Litany, Leonidas J. Guibas:
Robust Symmetry Detection via Riemannian Langevin Dynamics. CoRR abs/2410.02786 (2024) - 2023
- [c41]Wei Dong, Christopher B. Choy, Charles Loop, Or Litany, Yuke Zhu, Anima Anandkumar:
Fast Monocular Scene Reconstruction with Global-Sparse Local-Dense Grids. CVPR 2023: 4263-4272 - [c40]Jiahui Huang, Zan Gojcic, Matan Atzmon, Or Litany, Sanja Fidler, Francis Williams:
Neural Kernel Surface Reconstruction. CVPR 2023: 4369-4379 - [c39]Davis Rempe, Zhengyi Luo, Xue Bin Peng, Ye Yuan, Kris Kitani, Karsten Kreis, Sanja Fidler, Or Litany:
Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion. CVPR 2023: 13756-13766 - [c38]Tzofi Klinghoffer, Jonah Philion, Wenzheng Chen, Or Litany, Zan Gojcic, Jungseock Joo, Ramesh Raskar, Sanja Fidler, José M. Álvarez:
Towards Viewpoint Robustness in Bird's Eye View Segmentation. ICCV 2023: 8481-8490 - [c37]Shengyu Huang, Zan Gojcic, Zian Wang, Francis Williams, Yoni Kasten, Sanja Fidler, Konrad Schindler, Or Litany:
Neural LiDAR Fields for Novel View Synthesis. ICCV 2023: 18190-18200 - [c36]Jonas Schult, Francis Engelmann, Alexander Hermans, Or Litany, Siyu Tang, Bastian Leibe:
Mask3D: Mask Transformer for 3D Semantic Instance Segmentation. ICRA 2023: 8216-8223 - [c35]Towaki Takikawa, Shunsuke Saito, James Tompkin, Vincent Sitzmann, Srinath Sridhar, Or Litany, Alex Yu:
Neural Fields for Visual Computing: SIGGRAPH 2023 Course. SIGGRAPH Courses 2023: 10:1-10:227 - [i56]Dávid Rozenberszki, Or Litany, Angela Dai:
UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes. CoRR abs/2303.14541 (2023) - [i55]Davis Rempe, Zhengyi Luo, Xue Bin Peng, Ye Yuan, Kris Kitani, Karsten Kreis, Sanja Fidler, Or Litany:
Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion. CoRR abs/2304.01893 (2023) - [i54]Shengyu Huang, Zan Gojcic, Zian Wang, Francis Williams, Yoni Kasten, Sanja Fidler, Konrad Schindler, Or Litany:
Neural LiDAR Fields for Novel View Synthesis. CoRR abs/2305.01643 (2023) - [i53]Wei Dong, Christopher B. Choy, Charles Loop, Or Litany, Yuke Zhu, Anima Anandkumar:
Fast Monocular Scene Reconstruction with Global-Sparse Local-Dense Grids. CoRR abs/2305.13220 (2023) - [i52]Jiahui Huang, Zan Gojcic, Matan Atzmon, Or Litany, Sanja Fidler, Francis Williams:
Neural Kernel Surface Reconstruction. CoRR abs/2305.19590 (2023) - [i51]Moshe Kimhi, Shai Kimhi, Evgenii Zheltonozhskii, Or Litany, Chaim Baskin:
Semi-Supervised Semantic Segmentation via Marginal Contextual Information. CoRR abs/2308.13900 (2023) - [i50]Tzofi Klinghoffer, Jonah Philion, Wenzheng Chen, Or Litany, Zan Gojcic, Jungseock Joo, Ramesh Raskar, Sanja Fidler, José M. Álvarez:
Towards Viewpoint Robustness in Bird's Eye View Segmentation. CoRR abs/2309.05192 (2023) - [i49]Jiawei Yang, Boris Ivanovic, Or Litany, Xinshuo Weng, Seung Wook Kim, Boyi Li, Tong Che, Danfei Xu, Sanja Fidler, Marco Pavone, Yue Wang:
EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision. CoRR abs/2311.02077 (2023) - [i48]Chenfeng Xu, Huan Ling, Sanja Fidler, Or Litany:
3DiffTection: 3D Object Detection with Geometry-Aware Diffusion Features. CoRR abs/2311.04391 (2023) - [i47]Hanfeng Wu, Xingxing Zuo, Stefan Leutenegger, Or Litany, Konrad Schindler, Shengyu Huang:
Dynamic LiDAR Re-simulation using Compositional Neural Fields. CoRR abs/2312.05247 (2023) - 2022
- [j6]Luca Moschella, Simone Melzi, Luca Cosmo, Filippo Maggioli, Or Litany, Maks Ovsjanikov, Leonidas J. Guibas, Emanuele Rodolà:
Learning Spectral Unions of Partial Deformable 3D Shapes. Comput. Graph. Forum 41(2): 407-417 (2022) - [j5]Yiheng Xie, Towaki Takikawa, Shunsuke Saito, Or Litany, Shiqin Yan, Numair Khan, Federico Tombari, James Tompkin, Vincent Sitzmann, Srinath Sridhar:
Neural Fields in Visual Computing and Beyond. Comput. Graph. Forum 41(2): 641-676 (2022) - [c34]Davis Rempe, Jonah Philion, Leonidas J. Guibas, Sanja Fidler, Or Litany:
Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior. CVPR 2022: 17284-17294 - [c33]Francis Williams, Zan Gojcic, Sameh Khamis, Denis Zorin, Joan Bruna, Sanja Fidler, Or Litany:
Neural Fields as Learnable Kernels for 3D Reconstruction. CVPR 2022: 18479-18489 - [c32]Dávid Rozenberszki, Or Litany, Angela Dai:
Language-Grounded Indoor 3D Semantic Segmentation in the Wild. ECCV (33) 2022: 125-141 - [c31]Gopal Sharma, Kangxue Yin, Subhransu Maji, Evangelos Kalogerakis, Or Litany, Sanja Fidler:
MvDeCor: Multi-view Dense Correspondence Learning for Fine-Grained 3D Segmentation. ECCV (2) 2022: 550-567 - [c30]Jun Gao, Tianchang Shen, Zian Wang, Wenzheng Chen, Kangxue Yin, Daiqing Li, Or Litany, Zan Gojcic, Sanja Fidler:
GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images. NeurIPS 2022 - [c29]Xiaohui Zeng, Arash Vahdat, Francis Williams, Zan Gojcic, Or Litany, Sanja Fidler, Karsten Kreis:
LION: Latent Point Diffusion Models for 3D Shape Generation. NeurIPS 2022 - [c28]Hsueh-Ti Derek Liu, Francis Williams, Alec Jacobson, Sanja Fidler, Or Litany:
Learning Smooth Neural Functions via Lipschitz Regularization. SIGGRAPH (Conference Paper Track) 2022: 31:1-31:13 - [c27]Evgenii Zheltonozhskii, Chaim Baskin, Avi Mendelson, Alex M. Bronstein, Or Litany:
Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels. WACV 2022: 387-397 - [i46]Or Litany, Haggai Maron, David Acuna, Jan Kautz, Gal Chechik, Sanja Fidler:
Federated Learning with Heterogeneous Architectures using Graph HyperNetworks. CoRR abs/2201.08459 (2022) - [i45]Cinjon Resnick, Or Litany, Amlan Kar, Karsten Kreis, James Lucas, Kyunghyun Cho, Sanja Fidler:
Causal Scene BERT: Improving object detection by searching for challenging groups of data. CoRR abs/2202.03651 (2022) - [i44]Hsueh-Ti Derek Liu, Francis Williams, Alec Jacobson, Sanja Fidler, Or Litany:
Learning Smooth Neural Functions via Lipschitz Regularization. CoRR abs/2202.08345 (2022) - [i43]Dávid Rozenberszki, Or Litany, Angela Dai:
Language-Grounded Indoor 3D Semantic Segmentation in the Wild. CoRR abs/2204.07761 (2022) - [i42]Gopal Sharma, Kangxue Yin, Subhransu Maji, Evangelos Kalogerakis, Or Litany, Sanja Fidler:
MvDeCor: Multi-view Dense Correspondence Learning for Fine-grained 3D Segmentation. CoRR abs/2208.08580 (2022) - [i41]Jun Gao, Tianchang Shen, Zian Wang, Wenzheng Chen, Kangxue Yin, Daiqing Li, Or Litany, Zan Gojcic, Sanja Fidler:
GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images. CoRR abs/2209.11163 (2022) - [i40]Jonas Schult, Francis Engelmann, Alexander Hermans, Or Litany, Siyu Tang, Bastian Leibe:
Mask3D for 3D Semantic Instance Segmentation. CoRR abs/2210.03105 (2022) - [i39]Xiaohui Zeng, Arash Vahdat, Francis Williams, Zan Gojcic, Or Litany, Sanja Fidler, Karsten Kreis:
LION: Latent Point Diffusion Models for 3D Shape Generation. CoRR abs/2210.06978 (2022) - 2021
- [c26]Alexey Nekrasov, Jonas Schult, Or Litany, Bastian Leibe, Francis Engelmann:
Mix3D: Out-of-Context Data Augmentation for 3D Scenes. 3DV 2021: 116-125 - [c25]Zan Gojcic, Or Litany, Andreas Wieser, Leonidas J. Guibas, Tolga Birdal:
Weakly Supervised Learning of Rigid 3D Scene Flow. CVPR 2021: 5692-5703 - [c24]He Wang, Yezhen Cong, Or Litany, Yue Gao, Leonidas J. Guibas:
3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection. CVPR 2021: 14615-14624 - [c23]Congyue Deng, Or Litany, Yueqi Duan, Adrien Poulenard, Andrea Tagliasacchi, Leonidas J. Guibas:
Vector Neurons: A General Framework for SO(3)-Equivariant Networks. ICCV 2021: 12180-12189 - [c22]Cinjon Resnick, Or Litany, Amlan Kar, Karsten Kreis, James Lucas, Kyunghyun Cho, Sanja Fidler:
Causal BERT: Improving object detection by searching for challenging groups. ICCVW 2021: 2972-2981 - [c21]Fei Xia, Chengshu Li, Roberto Martín-Martín, Or Litany, Alexander Toshev, Silvio Savarese:
ReLMoGen: Integrating Motion Generation in Reinforcement Learning for Mobile Manipulation. ICRA 2021: 4583-4590 - [c20]Haggai Maron, Or Litany, Gal Chechik, Ethan Fetaya:
On Learning Sets of Symmetric Elements (Extended Abstract). IJCAI 2021: 4794-4798 - [c19]Wenzheng Chen, Joey Litalien, Jun Gao, Zian Wang, Clement Fuji Tsang, Sameh Khamis, Or Litany, Sanja Fidler:
DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer. NeurIPS 2021: 22834-22848 - [c18]Zhangsihao Yang, Or Litany, Tolga Birdal, Srinath Sridhar, Leonidas J. Guibas:
Continuous Geodesic Convolutions for Learning on 3D Shapes. WACV 2021: 134-144 - [c17]Or Litany, Ari Morcos, Srinath Sridhar, Leonidas J. Guibas, Judy Hoffman:
Representation Learning Through Latent Canonicalizations. WACV 2021: 645-654 - [i38]Cinjon Resnick, Or Litany, Cosmas Heiß, Hugo Larochelle, Joan Bruna, Kyunghyun Cho:
Self-Supervised Equivariant Scene Synthesis from Video. CoRR abs/2102.00863 (2021) - [i37]Zan Gojcic, Or Litany, Andreas Wieser, Leonidas J. Guibas, Tolga Birdal:
Weakly Supervised Learning of Rigid 3D Scene Flow. CoRR abs/2102.08945 (2021) - [i36]Evgenii Zheltonozhskii, Chaim Baskin, Avi Mendelson, Alex M. Bronstein, Or Litany:
Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels. CoRR abs/2103.13646 (2021) - [i35]Luca Moschella, Simone Melzi, Luca Cosmo, Filippo Maggioli, Or Litany, Maks Ovsjanikov, Leonidas J. Guibas, Emanuele Rodolà:
Spectral Unions of Partial Deformable 3D Shapes. CoRR abs/2104.00514 (2021) - [i34]Congyue Deng, Or Litany, Yueqi Duan, Adrien Poulenard, Andrea Tagliasacchi, Leonidas J. Guibas:
Vector Neurons: A General Framework for SO(3)-Equivariant Networks. CoRR abs/2104.12229 (2021) - [i33]Ge Zhang, Or Litany, Srinath Sridhar, Leonidas J. Guibas:
StrobeNet: Category-Level Multiview Reconstruction of Articulated Objects. CoRR abs/2105.08016 (2021) - [i32]Alexey Nekrasov, Jonas Schult, Or Litany, Bastian Leibe, Francis Engelmann:
Mix3D: Out-of-Context Data Augmentation for 3D Scenes. CoRR abs/2110.02210 (2021) - [i31]Wenzheng Chen, Joey Litalien, Jun Gao, Zian Wang, Clement Fuji Tsang, Sameh Khamis, Or Litany, Sanja Fidler:
DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer. CoRR abs/2111.00140 (2021) - [i30]Yiheng Xie, Towaki Takikawa, Shunsuke Saito, Or Litany, Shiqin Yan, Numair Khan, Federico Tombari, James Tompkin, Vincent Sitzmann, Srinath Sridhar:
Neural Fields in Visual Computing and Beyond. CoRR abs/2111.11426 (2021) - [i29]Francis Williams, Zan Gojcic, Sameh Khamis, Denis Zorin, Joan Bruna, Sanja Fidler, Or Litany:
Neural Fields as Learnable Kernels for 3D Reconstruction. CoRR abs/2111.13674 (2021) - [i28]Davis Rempe, Jonah Philion, Leonidas J. Guibas, Sanja Fidler, Or Litany:
Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior. CoRR abs/2112.05077 (2021) - 2020
- [c16]Charles R. Qi, Xinlei Chen, Or Litany, Leonidas J. Guibas:
ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes. CVPR 2020: 4403-4412 - [c15]Oshri Halimi, Ido Imanuel, Or Litany, Giovanni Trappolini, Emanuele Rodolà, Leonidas J. Guibas, Ron Kimmel:
Towards Precise Completion of Deformable Shapes. ECCV (24) 2020: 359-377 - [c14]Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas J. Guibas, Or Litany:
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding. ECCV (3) 2020: 574-591 - [c13]Haggai Maron, Or Litany, Gal Chechik, Ethan Fetaya:
On Learning Sets of Symmetric Elements. ICML 2020: 6734-6744 - [i27]Oshri Halimi, Ido Imanuel, Or Litany, Giovanni Trappolini, Emanuele Rodolà, Leonidas J. Guibas, Ron Kimmel:
The Whole Is Greater Than the Sum of Its Nonrigid Parts. CoRR abs/2001.09650 (2020) - [i26]Charles R. Qi, Xinlei Chen, Or Litany, Leonidas J. Guibas:
ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes. CoRR abs/2001.10692 (2020) - [i25]Zhangsihao Yang, Or Litany, Tolga Birdal, Srinath Sridhar, Leonidas J. Guibas:
Continuous Geodesic Convolutions for Learning on 3D Shapes. CoRR abs/2002.02506 (2020) - [i24]Haggai Maron, Or Litany, Gal Chechik, Ethan Fetaya:
On Learning Sets of Symmetric Elements. CoRR abs/2002.08599 (2020) - [i23]Or Litany, Ari Morcos, Srinath Sridhar, Leonidas J. Guibas, Judy Hoffman:
Representation Learning Through Latent Canonicalizations. CoRR abs/2002.11829 (2020) - [i22]Shubham Tulsiani, Or Litany, Charles R. Qi, He Wang, Leonidas J. Guibas:
Object-Centric Multi-View Aggregation. CoRR abs/2007.10300 (2020) - [i21]Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas J. Guibas, Or Litany:
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding. CoRR abs/2007.10985 (2020) - [i20]Fei Xia, Chengshu Li, Roberto Martín-Martín, Or Litany, Alexander Toshev, Silvio Savarese:
ReLMoGen: Leveraging Motion Generation in Reinforcement Learning for Mobile Manipulation. CoRR abs/2008.07792 (2020) - [i19]Cinjon Resnick, Or Litany, Hugo Larochelle, Joan Bruna, Kyunghyun Cho:
Learned Equivariant Rendering without Transformation Supervision. CoRR abs/2011.05787 (2020) - [i18]Or Litany, Emanuele Rodolà, Alex M. Bronstein, Michael M. Bronstein, Daniel Cremers:
Non-Rigid Puzzles. CoRR abs/2011.13076 (2020) - [i17]He Wang, Yezhen Cong, Or Litany, Yue Gao, Leonidas J. Guibas:
3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection. CoRR abs/2012.04355 (2020) - [i16]Francis Williams, Or Litany, Avneesh Sud, Kevin Swersky, Andrea Tagliasacchi:
Human 3D keypoints via spatial uncertainty modeling. CoRR abs/2012.10518 (2020)
2010 – 2019
- 2019
- [c12]Roberto M. Dyke, C. Stride, Yu-Kun Lai, Paul L. Rosin, Mathieu Aubry, Amit Boyarski, Alexander M. Bronstein, Michael M. Bronstein, Daniel Cremers, Matthew Fisher, Thibault Groueix, Daoliang Guo, Vladimir G. Kim, Ron Kimmel, Zorah Lähner, Kun Li, Or Litany, Tal Remez, Emanuele Rodolà, Bryan C. Russell, Yusuf Sahillioglu, Ron Slossberg, Gary K. L. Tam, Matthias Vestner, Z. Wu, Jingyu Yang:
Shape Correspondence with Isometric and Non-Isometric Deformations. 3DOR@Eurographics 2019: 111-119 - [c11]Oshri Halimi, Or Litany, Emanuele Rodolà, Alexander M. Bronstein, Ron Kimmel:
Unsupervised Learning of Dense Shape Correspondence. CVPR 2019: 4370-4379 - [c10]Michael M. Bronstein, Leonidas J. Guibas, Iasonas Kokkinos, Or Litany, Niloy J. Mitra, Federico Monti, Emanuele Rodolà:
Deep Learning for Computer Graphics and Geometry Processing. Eurographics (Tutorials) 2019: 43 - [c9]Charles R. Qi, Or Litany, Kaiming He, Leonidas J. Guibas:
Deep Hough Voting for 3D Object Detection in Point Clouds. ICCV 2019: 9276-9285 - [i15]Charles R. Qi, Or Litany, Kaiming He, Leonidas J. Guibas:
Deep Hough Voting for 3D Object Detection in Point Clouds. CoRR abs/1904.09664 (2019) - 2018
- [j4]Tal Remez, Or Litany, Raja Giryes, Alexander M. Bronstein:
Class-Aware Fully Convolutional Gaussian and Poisson Denoising. IEEE Trans. Image Process. 27(11): 5707-5722 (2018) - [c8]Or Litany, Alexander M. Bronstein, Michael M. Bronstein, Ameesh Makadia:
Deformable Shape Completion With Graph Convolutional Autoencoders. CVPR 2018: 1886-1895 - [i14]Or Litany, Daniel Freedman:
SOSELETO: A Unified Approach to Transfer Learning and Training with Noisy Labels. CoRR abs/1805.09622 (2018) - [i13]Federico Monti, Oleksandr Shchur, Aleksandar Bojchevski, Or Litany, Stephan Günnemann, Michael M. Bronstein:
Dual-Primal Graph Convolutional Networks. CoRR abs/1806.00770 (2018) - [i12]Tal Remez, Or Litany, Raja Giryes, Alexander M. Bronstein:
Class-Aware Fully-Convolutional Gaussian and Poisson Denoising. CoRR abs/1808.06562 (2018) - [i11]Oshri Halimi, Or Litany, Emanuele Rodolà, Alexander M. Bronstein, Ron Kimmel:
Self-supervised Learning of Dense Shape Correspondence. CoRR abs/1812.02415 (2018) - 2017
- [j3]Or Litany, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein:
Fully Spectral Partial Shape Matching. Comput. Graph. Forum 36(2): 247-258 (2017) - [j2]Or Litany, Tal Remez, Daniel Freedman, Lior Shapira, Alexander M. Bronstein, Ran Gal:
ASIST: Automatic semantically invariant scene transformation. Comput. Vis. Image Underst. 157: 284-299 (2017) - [c7]Matthias Vestner, Zorah Lähner, Amit Boyarski, Or Litany, Ron Slossberg, Tal Remez, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Daniel Cremers:
Efficient Deformable Shape Correspondence via Kernel Matching. 3DV 2017: 517-526 - [c6]Emanuele Rodolà, Luca Cosmo, Or Litany, Michael M. Bronstein, Alexander M. Bronstein, Nicolas Audebert, A. Ben Hamza, Alexandre Boulch, Umberto Castellani, Minh N. Do, Duc Anh Duong, Takahiko Furuya, Andrea Gasparetto, Y. Hong, J. Kim, Bertrand Le Saux, Roee Litman, Majid Masoumi, Giorgia Minello, Hai-Dang Nguyen, V.-T. Nguyen, Ryutarou Ohbuchi, Viet-Khoi Pham, Thuyen V. Phan, M. Rezaei, Andrea Torsello, Minh-Triet Tran, Q. T. Tran, Bao Truong, L. Wan, Changqing Zou:
Deformable Shape Retrieval with Missing Parts. 3DOR@Eurographics 2017 - [c5]Or Litany, Tal Remez, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein:
Deep Functional Maps: Structured Prediction for Dense Shape Correspondence. ICCV 2017: 5660-5668 - [c4]Tal Remez, Or Litany, Raja Giryes, Alexander M. Bronstein:
Deep class-aware image denoising. ICIP 2017: 1895-1899 - [c3]Guy Alexandroni, Yana Podolsky, Hayit Greenspan, Tal Remez, Or Litany, Alexander M. Bronstein, Raja Giryes:
White Matter Fiber Representation Using Continuous Dictionary Learning. MICCAI (1) 2017: 566-574 - [i10]Tal Remez, Or Litany, Raja Giryes, Alexander M. Bronstein:
Deep Convolutional Denoising of Low-Light Images. CoRR abs/1701.01687 (2017) - [i9]Tal Remez, Or Litany, Raja Giryes, Alexander M. Bronstein:
Deep Class Aware Denoising. CoRR abs/1701.01698 (2017) - [i8]Or Litany, Tal Remez, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein:
Deep Functional Maps: Structured Prediction for Dense Shape Correspondence. CoRR abs/1704.08686 (2017) - [i7]Zorah Lähner, Matthias Vestner, Amit Boyarski, Or Litany, Ron Slossberg, Tal Remez, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Daniel Cremers:
Efficient Deformable Shape Correspondence via Kernel Matching. CoRR abs/1707.08991 (2017) - [i6]Or Litany, Alexander M. Bronstein, Michael M. Bronstein, Ameesh Makadia:
Deformable Shape Completion with Graph Convolutional Autoencoders. CoRR abs/1712.00268 (2017) - 2016
- [j1]Or Litany, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein, Daniel Cremers:
Non-Rigid Puzzles. Comput. Graph. Forum 35(5): 135-143 (2016) - [c2]Tal Remez, Or Litany, Alexander M. Bronstein:
A picture is worth a billion bits: Real-time image reconstruction from dense binary threshold pixels. ICCP 2016: 1-9 - [i5]Tal Remez, Or Litany, Shachar Yoseff, Harel Haim, Alexander M. Bronstein:
FPGA system for real-time computational extended depth of field imaging using phase aperture coding. CoRR abs/1608.01074 (2016) - [i4]Or Litany, Tal Remez, Alexander M. Bronstein:
Cloud Dictionary: Sparse Coding and Modeling for Point Clouds. CoRR abs/1612.04956 (2016) - 2015
- [i3]Tal Remez, Or Litany, Alexander M. Bronstein:
A Picture is Worth a Billion Bits: Real-Time Image Reconstruction from Dense Binary Pixels. CoRR abs/1510.04601 (2015) - [i2]Or Litany, Tal Remez, Daniel Freedman, Lior Shapira, Alexander M. Bronstein, Ran Gal:
ASIST: Automatic Semantically Invariant Scene Transformation. CoRR abs/1512.01515 (2015) - [i1]Or Litany, Tal Remez, Alexander M. Bronstein:
Image reconstruction from dense binary pixels. CoRR abs/1512.01774 (2015) - 2012
- [c1]Or Litany, Alexander M. Bronstein, Michael M. Bronstein:
Putting the Pieces Together: Regularized Multi-part Shape Matching. ECCV Workshops (1) 2012: 1-11
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Unpaywalled article links
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Archived links via Wayback Machine
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Reference lists
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Citation data
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OpenAlex data
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last updated on 2024-12-05 21:42 CET by the dblp team
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