Or Litany

According to our database, Or Litany authored at least 76 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

The NeRFect Match: Exploring NeRF Features for Visual Localization.

Qunjie Zhou, Maxim Maximov, Or Litany, Laura Leal-Taixé

CoRR, 2024

OpenSUN3D: 1st Workshop Challenge on Open-Vocabulary 3D Scene Understanding.

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

CoRR, 2024

Approximately Piecewise E(3) Equivariant Point Networks.

Matan Atzmon, Jiahui Huang, Francis Williams, Or Litany

CoRR, 2024

Multi-Track Timeline Control for Text-Driven 3D Human Motion Generation.

Mathis Petrovich, Or Litany, Umar Iqbal, Michael J. Black, Gül Varol, Xue Bin Peng, Davis Rempe

CoRR, 2024

2023

Dynamic LiDAR Re-simulation using Compositional Neural Fields.

Hanfeng Wu, Xingxing Zuo, Stefan Leutenegger, Or Litany, Konrad Schindler, Shengyu Huang

CoRR, 2023

3DiffTection: 3D Object Detection with Geometry-Aware Diffusion Features.

Chenfeng Xu, Huan Ling, Sanja Fidler, Or Litany

CoRR, 2023

EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision.

Jiawei Yang, Boris Ivanovic, Or Litany, Xinshuo Weng, Seung Wook Kim, Boyi Li, Tong Che, Danfei Xu, Sanja Fidler, Marco Pavone, Yue Wang

CoRR, 2023

Semi-Supervised Semantic Segmentation via Marginal Contextual Information.

Moshe Kimhi, Shai Kimhi, Evgenii Zheltonozhskii, Or Litany, Chaim Baskin

CoRR, 2023

UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes.

Dávid Rozenberszki, Or Litany, Angela Dai

CoRR, 2023

Neural Fields for Visual Computing: SIGGRAPH 2023 Course.

Towaki Takikawa, Shunsuke Saito, James Tompkin, Vincent Sitzmann, Srinath Sridhar, Or Litany, Alex Yu

Proceedings of the ACM SIGGRAPH 2023 Courses, 2023

Mask3D: Mask Transformer for 3D Semantic Instance Segmentation.

Jonas Schult, Francis Engelmann, Alexander Hermans, Or Litany, Siyu Tang, Bastian Leibe

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Towards Viewpoint Robustness in Bird's Eye View Segmentation.

Tzofi Klinghoffer, Jonah Philion, Wenzheng Chen, Or Litany, Zan Gojcic, Jungseock Joo, Ramesh Raskar, Sanja Fidler, José M. Álvarez

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Neural LiDAR Fields for Novel View Synthesis.

Shengyu Huang, Zan Gojcic, Zian Wang, Francis Williams, Yoni Kasten, Sanja Fidler, Konrad Schindler, Or Litany

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion.

Davis Rempe, Zhengyi Luo, Xue Bin Peng, Ye Yuan, Kris Kitani, Karsten Kreis, Sanja Fidler, Or Litany

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Neural Kernel Surface Reconstruction.

Jiahui Huang, Zan Gojcic, Matan Atzmon, Or Litany, Sanja Fidler, Francis Williams

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Fast Monocular Scene Reconstruction with Global-Sparse Local-Dense Grids.

Wei Dong, Christopher B. Choy, Charles Loop, Or Litany, Yuke Zhu, Anima Anandkumar

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Mask3D for 3D Semantic Instance Segmentation.

Jonas Schult, Francis Engelmann, Alexander Hermans, Or Litany, Siyu Tang, Bastian Leibe

CoRR, 2022

Causal Scene BERT: Improving object detection by searching for challenging groups of data.

Cinjon Resnick, Or Litany, Amlan Kar, Karsten Kreis, James Lucas, Kyunghyun Cho, Sanja Fidler

CoRR, 2022

Federated Learning with Heterogeneous Architectures using Graph HyperNetworks.

Or Litany, Haggai Maron, David Acuna, Jan Kautz, Gal Chechik, Sanja Fidler

CoRR, 2022

Neural Fields in Visual Computing and Beyond.

Yiheng Xie, Towaki Takikawa, Shunsuke Saito, Or Litany, Shiqin Yan, Numair Khan, Federico Tombari, James Tompkin, Vincent Sitzmann, Srinath Sridhar

Comput. Graph. Forum, 2022

Learning Spectral Unions of Partial Deformable 3D Shapes.

Luca Moschella, Simone Melzi, Luca Cosmo, Filippo Maggioli, Or Litany, Maks Ovsjanikov, Leonidas J. Guibas, Emanuele Rodolà

Comput. Graph. Forum, 2022

Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels.

Evgenii Zheltonozhskii, Chaim Baskin, Avi Mendelson, Alex M. Bronstein, Or Litany

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Learning Smooth Neural Functions via Lipschitz Regularization.

Hsueh-Ti Derek Liu, Francis Williams, Alec Jacobson, Sanja Fidler, Or Litany

Proceedings of the SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference, Vancouver, BC, Canada, August 7, 2022

LION: Latent Point Diffusion Models for 3D Shape Generation.

Xiaohui Zeng, Arash Vahdat, Francis Williams, Zan Gojcic, Or Litany, Sanja Fidler, Karsten Kreis

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images.

Jun Gao, Tianchang Shen, Zian Wang, Wenzheng Chen, Kangxue Yin, Daiqing Li, Or Litany, Zan Gojcic, Sanja Fidler

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MvDeCor: Multi-view Dense Correspondence Learning for Fine-Grained 3D Segmentation.

Gopal Sharma, Kangxue Yin, Subhransu Maji, Evangelos Kalogerakis, Or Litany, Sanja Fidler

Proceedings of the Computer Vision - ECCV 2022, 2022

Language-Grounded Indoor 3D Semantic Segmentation in the Wild.

Dávid Rozenberszki, Or Litany, Angela Dai

Proceedings of the Computer Vision - ECCV 2022, 2022

Neural Fields as Learnable Kernels for 3D Reconstruction.

Francis Williams, Zan Gojcic, Sameh Khamis, Denis Zorin, Joan Bruna, Sanja Fidler, Or Litany

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior.

Davis Rempe, Jonah Philion, Leonidas J. Guibas, Sanja Fidler, Or Litany

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

StrobeNet: Category-Level Multiview Reconstruction of Articulated Objects.

Ge Zhang, Or Litany, Srinath Sridhar, Leonidas J. Guibas

CoRR, 2021

Spectral Unions of Partial Deformable 3D Shapes.

Luca Moschella, Simone Melzi, Luca Cosmo, Filippo Maggioli, Or Litany, Maks Ovsjanikov, Leonidas J. Guibas, Emanuele Rodolà

CoRR, 2021

Self-Supervised Equivariant Scene Synthesis from Video.

Cinjon Resnick, Or Litany, Cosmas Heiß, Hugo Larochelle, Joan Bruna, Kyunghyun Cho

CoRR, 2021

Continuous Geodesic Convolutions for Learning on 3D Shapes.

Zhangsihao Yang, Or Litany, Tolga Birdal, Srinath Sridhar, Leonidas J. Guibas

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Representation Learning Through Latent Canonicalizations.

Or Litany, Ari Morcos, Srinath Sridhar, Leonidas J. Guibas, Judy Hoffman

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer.

Wenzheng Chen, Joey Litalien, Jun Gao, Zian Wang, Clement Fuji Tsang, Sameh Khamis, Or Litany, Sanja Fidler

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

On Learning Sets of Symmetric Elements (Extended Abstract).

Haggai Maron, Or Litany, Gal Chechik, Ethan Fetaya

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

ReLMoGen: Integrating Motion Generation in Reinforcement Learning for Mobile Manipulation.

Fei Xia, Chengshu Li, Roberto Martín-Martín, Or Litany, Alexander Toshev, Silvio Savarese

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Causal BERT: Improving object detection by searching for challenging groups.

Cinjon Resnick, Or Litany, Amlan Kar, Karsten Kreis, James Lucas, Kyunghyun Cho, Sanja Fidler

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Vector Neurons: A General Framework for SO(3)-Equivariant Networks.

Congyue Deng, Or Litany, Yueqi Duan, Adrien Poulenard, Andrea Tagliasacchi, Leonidas J. Guibas

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Weakly Supervised Learning of Rigid 3D Scene Flow.

Zan Gojcic, Or Litany, Andreas Wieser, Leonidas J. Guibas, Tolga Birdal

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection.

He Wang, Yezhen Cong, Or Litany, Yue Gao, Leonidas J. Guibas

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Mix3D: Out-of-Context Data Augmentation for 3D Scenes.

Alexey Nekrasov, Jonas Schult, Or Litany, Bastian Leibe, Francis Engelmann

Proceedings of the International Conference on 3D Vision, 2021

2020

Human 3D keypoints via spatial uncertainty modeling.

Francis Williams, Or Litany, Avneesh Sud, Kevin Swersky, Andrea Tagliasacchi

CoRR, 2020

Learned Equivariant Rendering without Transformation Supervision.

Cinjon Resnick, Or Litany, Hugo Larochelle, Joan Bruna, Kyunghyun Cho

CoRR, 2020

ReLMoGen: Leveraging Motion Generation in Reinforcement Learning for Mobile Manipulation.

Fei Xia, Chengshu Li, Roberto Martín-Martín, Or Litany, Alexander Toshev, Silvio Savarese

CoRR, 2020

Object-Centric Multi-View Aggregation.

Shubham Tulsiani, Or Litany, Charles R. Qi, He Wang, Leonidas J. Guibas

CoRR, 2020

The Whole Is Greater Than the Sum of Its Nonrigid Parts.

Oshri Halimi, Ido Imanuel, Or Litany, Giovanni Trappolini, Emanuele Rodolà, Leonidas J. Guibas, Ron Kimmel

CoRR, 2020

On Learning Sets of Symmetric Elements.

Haggai Maron, Or Litany, Gal Chechik, Ethan Fetaya

Proceedings of the 37th International Conference on Machine Learning, 2020

PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding.

Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas J. Guibas, Or Litany

Proceedings of the Computer Vision - ECCV 2020, 2020

Towards Precise Completion of Deformable Shapes.

Oshri Halimi, Ido Imanuel, Or Litany, Giovanni Trappolini, Emanuele Rodolà, Leonidas J. Guibas, Ron Kimmel

Proceedings of the Computer Vision - ECCV 2020, 2020

ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes.

Charles R. Qi, Xinlei Chen, Or Litany, Leonidas J. Guibas

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Deep Hough Voting for 3D Object Detection in Point Clouds.

Charles R. Qi, Or Litany, Kaiming He, Leonidas J. Guibas

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Deep Learning for Computer Graphics and Geometry Processing.

Michael M. Bronstein, Leonidas J. Guibas, Iasonas Kokkinos, Or Litany, Niloy J. Mitra, Federico Monti, Emanuele Rodolà

Proceedings of the 40th Annual Conference of the European Association for Computer Graphics, 2019

Unsupervised Learning of Dense Shape Correspondence.

Oshri Halimi, Or Litany, Emanuele Rodolà, Alexander M. Bronstein, Ron Kimmel

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Shape Correspondence with Isometric and Non-Isometric Deformations.

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

Proceedings of the 12th Eurographics Workshop on 3D Object Retrieval, 2019

2018

Class-Aware Fully Convolutional Gaussian and Poisson Denoising.

Tal Remez, Or Litany, Raja Giryes, Alexander M. Bronstein

IEEE Trans. Image Process., 2018

Self-supervised Learning of Dense Shape Correspondence.

Oshri Halimi, Or Litany, Emanuele Rodolà, Alexander M. Bronstein, Ron Kimmel

CoRR, 2018

Dual-Primal Graph Convolutional Networks.

Federico Monti, Oleksandr Shchur, Aleksandar Bojchevski, Or Litany, Stephan Günnemann, Michael M. Bronstein

CoRR, 2018

SOSELETO: A Unified Approach to Transfer Learning and Training with Noisy Labels.

Or Litany, Daniel Freedman

CoRR, 2018

Deformable Shape Completion With Graph Convolutional Autoencoders.

Or Litany, Alexander M. Bronstein, Michael M. Bronstein, Ameesh Makadia

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

ASIST: Automatic semantically invariant scene transformation.

Or Litany, Tal Remez, Daniel Freedman, Lior Shapira, Alexander M. Bronstein, Ran Gal

Comput. Vis. Image Underst., 2017

Deep Class Aware Denoising.

Tal Remez, Or Litany, Raja Giryes, Alexander M. Bronstein

CoRR, 2017

Deep Convolutional Denoising of Low-Light Images.

Tal Remez, Or Litany, Raja Giryes, Alexander M. Bronstein

CoRR, 2017

Fully Spectral Partial Shape Matching.

Or Litany, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein

Comput. Graph. Forum, 2017

White Matter Fiber Representation Using Continuous Dictionary Learning.

Guy Alexandroni, Yana Podolsky, Hayit Greenspan, Tal Remez, Or Litany, Alexander M. Bronstein, Raja Giryes

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Deep class-aware image denoising.

Tal Remez, Or Litany, Raja Giryes, Alexander M. Bronstein

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Deep Functional Maps: Structured Prediction for Dense Shape Correspondence.

Or Litany, Tal Remez, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein

Proceedings of the IEEE International Conference on Computer Vision, 2017

Deformable Shape Retrieval with Missing Parts.

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

Proceedings of the 10th Eurographics Workshop on 3D Object Retrieval, 2017

Efficient Deformable Shape Correspondence via Kernel Matching.

Matthias Vestner, Zorah Lähner, Amit Boyarski, Or Litany, Ron Slossberg, Tal Remez, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Daniel Cremers

Proceedings of the 2017 International Conference on 3D Vision, 2017

2016

FPGA system for real-time computational extended depth of field imaging using phase aperture coding.

Tal Remez, Or Litany, Shachar Yoseff, Harel Haim, Alexander M. Bronstein

CoRR, 2016

Cloud Dictionary: Sparse Coding and Modeling for Point Clouds.

Or Litany, Tal Remez, Alexander M. Bronstein

CoRR, 2016

Non-Rigid Puzzles.

Or Litany, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein, Daniel Cremers

Comput. Graph. Forum, 2016

A picture is worth a billion bits: Real-time image reconstruction from dense binary threshold pixels.

Tal Remez, Or Litany, Alexander M. Bronstein

Proceedings of the 2016 IEEE International Conference on Computational Photography, 2016

2015

A Picture is Worth a Billion Bits: Real-Time Image Reconstruction from Dense Binary Pixels.

Tal Remez, Or Litany, Alexander M. Bronstein

CoRR, 2015

Image reconstruction from dense binary pixels.

Or Litany, Tal Remez, Alexander M. Bronstein

CoRR, 2015

2012

Putting the Pieces Together: Regularized Multi-part Shape Matching.

Or Litany, Alexander M. Bronstein, Michael M. Bronstein

Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012