Or Litany

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 107

Top Venues

Publications

Matan Atzmon, Jiahui Huang, Francis Williams, Or Litany
Approximately Piecewise E(3) Equivariant Point Networks. ICLR (2024)
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 (2024)
Qunjie Zhou, Maxim Maximov, Or Litany, Laura Leal-Taixé
The NeRFect Match: Exploring NeRF Features for Visual Localization. CoRR (2024)
Matan Atzmon, Jiahui Huang, Francis Williams, Or Litany
Approximately Piecewise E(3) Equivariant Point Networks. CoRR (2024)
Ido Sobol, Chenfeng Xu, Or Litany
Zero-to-Hero: Enhancing Zero-Shot Novel View Synthesis via Attention Map Filtering. CoRR (2024)
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)
Moshe Kimhi, Shai Kimhi, Evgenii Zheltonozhskii, Or Litany, Chaim Baskin
Semi-Supervised Semantic Segmentation via Marginal Contextual Information. Trans. Mach. Learn. Res. 2024 (2024)
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 (2024)
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 (2023)
Moshe Kimhi, Shai Kimhi, Evgenii Zheltonozhskii, Or Litany, Chaim Baskin
Semi-Supervised Semantic Segmentation via Marginal Contextual Information. CoRR (2023)
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)
Shengyu Huang, Zan Gojcic, Zian Wang, Francis Williams, Yoni Kasten, Sanja Fidler, Konrad Schindler, Or Litany
Neural LiDAR Fields for Novel View Synthesis. CoRR (2023)
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)
Jonas Schult, Francis Engelmann, Alexander Hermans, Or Litany, Siyu Tang, Bastian Leibe
Mask3D: Mask Transformer for 3D Semantic Instance Segmentation. ICRA (2023)
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)
Chenfeng Xu, Huan Ling, Sanja Fidler, Or Litany
3DiffTection: 3D Object Detection with Geometry-Aware Diffusion Features. CoRR (2023)
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)
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 (2023)
Hanfeng Wu, Xingxing Zuo, Stefan Leutenegger, Or Litany, Konrad Schindler, Shengyu Huang
Dynamic LiDAR Re-simulation using Compositional Neural Fields. CoRR (2023)
Dávid Rozenberszki, Or Litany, Angela Dai
UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes. CoRR (2023)
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)
Wei Dong, Christopher B. Choy, Charles Loop, Or Litany, Yuke Zhu, Anima Anandkumar
Fast Monocular Scene Reconstruction with Global-Sparse Local-Dense Grids. CoRR (2023)
Jiahui Huang, Zan Gojcic, Matan Atzmon, Or Litany, Sanja Fidler, Francis Williams
Neural Kernel Surface Reconstruction. CoRR (2023)
Jiahui Huang, Zan Gojcic, Matan Atzmon, Or Litany, Sanja Fidler, Francis Williams
Neural Kernel Surface Reconstruction. CVPR (2023)
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 (2023)
Davis Rempe, Jonah Philion, Leonidas J. Guibas, Sanja Fidler, Or Litany
Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior. CVPR (2022)
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) (2022)
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 (2022)
Or Litany, Haggai Maron, David Acuna, Jan Kautz, Gal Chechik, Sanja Fidler
Federated Learning with Heterogeneous Architectures using Graph HyperNetworks. CoRR (2022)
Dávid Rozenberszki, Or Litany, Angela Dai
Language-Grounded Indoor 3D Semantic Segmentation in the Wild. ECCV (33) (2022)
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)
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)
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)
Gopal Sharma, Kangxue Yin, Subhransu Maji, Evangelos Kalogerakis, Or Litany, Sanja Fidler
MvDeCor: Multi-view Dense Correspondence Learning for Fine-grained 3D Segmentation. CoRR (2022)
Xiaohui Zeng, Arash Vahdat, Francis Williams, Zan Gojcic, Or Litany, Sanja Fidler, Karsten Kreis
LION: Latent Point Diffusion Models for 3D Shape Generation. CoRR (2022)
Jonas Schult, Francis Engelmann, Alexander Hermans, Or Litany, Siyu Tang, Bastian Leibe
Mask3D for 3D Semantic Instance Segmentation. CoRR (2022)
Francis Williams, Zan Gojcic, Sameh Khamis, Denis Zorin, Joan Bruna, Sanja Fidler, Or Litany
Neural Fields as Learnable Kernels for 3D Reconstruction. CVPR (2022)
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 (2022)
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) (2022)
Hsueh-Ti Derek Liu, Francis Williams, Alec Jacobson, Sanja Fidler, Or Litany
Learning Smooth Neural Functions via Lipschitz Regularization. CoRR (2022)
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)
Hsueh-Ti Derek Liu, Francis Williams, Alec Jacobson, Sanja Fidler, Or Litany
Learning Smooth Neural Functions via Lipschitz Regularization. SIGGRAPH (Conference Paper Track) (2022)
Dávid Rozenberszki, Or Litany, Angela Dai
Language-Grounded Indoor 3D Semantic Segmentation in the Wild. CoRR (2022)
Alexey Nekrasov, Jonas Schult, Or Litany, Bastian Leibe, Francis Engelmann
Mix3D: Out-of-Context Data Augmentation for 3D Scenes. 3DV (2021)
Zhangsihao Yang, Or Litany, Tolga Birdal, Srinath Sridhar, Leonidas J. Guibas
Continuous Geodesic Convolutions for Learning on 3D Shapes. WACV (2021)
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 (2021)
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)
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)
Or Litany, Ari Morcos, Srinath Sridhar, Leonidas J. Guibas, Judy Hoffman
Representation Learning Through Latent Canonicalizations. WACV (2021)
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 (2021)
Evgenii Zheltonozhskii, Chaim Baskin, Avi Mendelson, Alex M. Bronstein, Or Litany
Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels. CoRR (2021)
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)
Davis Rempe, Jonah Philion, Leonidas J. Guibas, Sanja Fidler, Or Litany
Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior. CoRR (2021)
Congyue Deng, Or Litany, Yueqi Duan, Adrien Poulenard, Andrea Tagliasacchi, Leonidas J. Guibas
Vector Neurons: A General Framework for SO(3)-Equivariant Networks. CoRR (2021)
Haggai Maron, Or Litany, Gal Chechik, Ethan Fetaya
On Learning Sets of Symmetric Elements (Extended Abstract). IJCAI (2021)
Zan Gojcic, Or Litany, Andreas Wieser, Leonidas J. Guibas, Tolga Birdal
Weakly Supervised Learning of Rigid 3D Scene Flow. CVPR (2021)
Francis Williams, Zan Gojcic, Sameh Khamis, Denis Zorin, Joan Bruna, Sanja Fidler, Or Litany
Neural Fields as Learnable Kernels for 3D Reconstruction. CoRR (2021)
Zan Gojcic, Or Litany, Andreas Wieser, Leonidas J. Guibas, Tolga Birdal
Weakly Supervised Learning of Rigid 3D Scene Flow. CoRR (2021)
Ge Zhang, Or Litany, Srinath Sridhar, Leonidas J. Guibas
StrobeNet: Category-Level Multiview Reconstruction of Articulated Objects. CoRR (2021)
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 (2021)
Cinjon Resnick, Or Litany, Cosmas Heiß, Hugo Larochelle, Joan Bruna, Kyunghyun Cho
Self-Supervised Equivariant Scene Synthesis from Video. CoRR (2021)
He Wang, Yezhen Cong, Or Litany, Yue Gao, Leonidas J. Guibas
3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection. CVPR (2021)
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)
Alexey Nekrasov, Jonas Schult, Or Litany, Bastian Leibe, Francis Engelmann
Mix3D: Out-of-Context Data Augmentation for 3D Scenes. CoRR (2021)
Zhangsihao Yang, Or Litany, Tolga Birdal, Srinath Sridhar, Leonidas J. Guibas
Continuous Geodesic Convolutions for Learning on 3D Shapes. CoRR (2020)
Or Litany, Ari Morcos, Srinath Sridhar, Leonidas J. Guibas, Judy Hoffman
Representation Learning Through Latent Canonicalizations. CoRR (2020)
Francis Williams, Or Litany, Avneesh Sud, Kevin Swersky, Andrea Tagliasacchi
Human 3D keypoints via spatial uncertainty modeling. CoRR (2020)
He Wang, Yezhen Cong, Or Litany, Yue Gao, Leonidas J. Guibas
3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection. CoRR (2020)
Fei Xia, Chengshu Li, Roberto Martín-Martín, Or Litany, Alexander Toshev, Silvio Savarese
ReLMoGen: Leveraging Motion Generation in Reinforcement Learning for Mobile Manipulation. CoRR (2020)
Haggai Maron, Or Litany, Gal Chechik, Ethan Fetaya
On Learning Sets of Symmetric Elements. CoRR (2020)
Oshri Halimi, Ido Imanuel, Or Litany, Giovanni Trappolini, Emanuele Rodolà, Leonidas J. Guibas, Ron Kimmel
Towards Precise Completion of Deformable Shapes. ECCV (24) (2020)
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)
Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas J. Guibas, Or Litany
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding. CoRR (2020)
Or Litany, Emanuele Rodolà, Alex M. Bronstein, Michael M. Bronstein, Daniel Cremers
Non-Rigid Puzzles. CoRR (2020)
Cinjon Resnick, Or Litany, Hugo Larochelle, Joan Bruna, Kyunghyun Cho
Learned Equivariant Rendering without Transformation Supervision. CoRR (2020)
Shubham Tulsiani, Or Litany, Charles R. Qi, He Wang, Leonidas J. Guibas
Object-Centric Multi-View Aggregation. CoRR (2020)
Charles R. Qi, Xinlei Chen, Or Litany, Leonidas J. Guibas
ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes. CoRR (2020)
Charles R. Qi, Xinlei Chen, Or Litany, Leonidas J. Guibas
ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes. CVPR (2020)
Haggai Maron, Or Litany, Gal Chechik, Ethan Fetaya
On Learning Sets of Symmetric Elements. ICML (2020)
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 (2020)
Charles R. Qi, Or Litany, Kaiming He, Leonidas J. Guibas
Deep Hough Voting for 3D Object Detection in Point Clouds. ICCV (2019)
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)
Charles R. Qi, Or Litany, Kaiming He, Leonidas J. Guibas
Deep Hough Voting for 3D Object Detection in Point Clouds. CoRR (2019)
Oshri Halimi, Or Litany, Emanuele Rodolà, Alexander M. Bronstein, Ron Kimmel
Unsupervised Learning of Dense Shape Correspondence. CVPR (2019)
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)
Federico Monti, Oleksandr Shchur, Aleksandar Bojchevski, Or Litany, Stephan Günnemann, Michael M. Bronstein
Dual-Primal Graph Convolutional Networks. CoRR (2018)
Tal Remez, Or Litany, Raja Giryes, Alexander M. Bronstein
Class-Aware Fully Convolutional Gaussian and Poisson Denoising. IEEE Trans. Image Process. 27 (11) (2018)
Or Litany, Alexander M. Bronstein, Michael M. Bronstein, Ameesh Makadia
Deformable Shape Completion With Graph Convolutional Autoencoders. CVPR (2018)
Oshri Halimi, Or Litany, Emanuele Rodolà, Alexander M. Bronstein, Ron Kimmel
Self-supervised Learning of Dense Shape Correspondence. CoRR (2018)
Or Litany, Daniel Freedman
SOSELETO: A Unified Approach to Transfer Learning and Training with Noisy Labels. CoRR (2018)
Tal Remez, Or Litany, Raja Giryes, Alexander M. Bronstein
Class-Aware Fully-Convolutional Gaussian and Poisson Denoising. CoRR (2018)
Or Litany, Alexander M. Bronstein, Michael M. Bronstein, Ameesh Makadia
Deformable Shape Completion with Graph Convolutional Autoencoders. CoRR (2017)
Tal Remez, Or Litany, Raja Giryes, Alexander M. Bronstein
Deep class-aware image denoising. ICIP (2017)
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 (2017)
Or Litany, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein
Fully Spectral Partial Shape Matching. Comput. Graph. Forum 36 (2) (2017)
Or Litany, Tal Remez, Daniel Freedman, Lior Shapira, Alexander M. Bronstein, Ran Gal
ASIST: Automatic semantically invariant scene transformation. Comput. Vis. Image Underst. 157 (2017)
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)
Or Litany, Tal Remez, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein
Deep Functional Maps: Structured Prediction for Dense Shape Correspondence. CoRR (2017)
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)
Or Litany, Tal Remez, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein
Deep Functional Maps: Structured Prediction for Dense Shape Correspondence. ICCV (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Or Litany