Or Litany - RankMe

143 papers A* 31A 3B 2Journal 90Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DiffusionHarmonizer: Bridging Neural Reconstruction and Photorealistic Simulation with Online Diffusion Enhancer. CoRR Yuxuan Zhang, Katarína Tóthová, Zian Wang, Kangxue Yin, Haithem Turki, Riccardo de Lutio, Yen-Yu Chang, Or Litany, Sanja Fidler, Zan Gojcic
2026	J	`jnl`	Retrieval-Augmented Gaussian Avatars: Improving Expression Generalization. CoRR Matan Levy, Gavriel Habib, Issar Tzachor, Dvir Samuel, Rami Ben-Ari, Nir Darshan, Or Litany, Dani Lischinski
2026	J	`jnl`	SceneTeract: Agentic Functional Affordances and VLM Grounding in 3D Scenes. CoRR Léopold Maillard, Francis Engelmann, Tom Durand, Boxiao Pan, Yang You, Or Litany, Leonidas J. Guibas, Maks Ovsjanikov
2026	J	`jnl`	SpectralSplats: Robust Differentiable Tracking via Spectral Moment Supervision. CoRR Avigail Cohen Rimon, Amir Mann, Mirela Ben-Chen, Or Litany
2026	J	`jnl`	Test-Time Training with KV Binding Is Secretly Linear Attention. CoRR Junchen Liu, Sven Elflein, Or Litany, Zan Gojcic, Ruilong Li
2025	J	`jnl`	Appreciate the View: A Task-Aware Evaluation Framework for Novel View Synthesis. CoRR Saar Stern, Ido Sobol, Or Litany
2025	—	`conf`	EPI-NAF: Enhancing Neural Attenuation Fields for Limited-Angle CT with Epipolar Consistency Conditions. ISBI Daniel Gilo, Tzofi Klinghoffer, Or Litany
2025	J	`jnl`	FRIDU: Functional Map Refinement with Guided Image Diffusion. Comput. Graph. Forum Avigail Cohen Rimon, Mirela Ben-Chen, Or Litany
2025	J	`jnl`	FRIDU: Functional Map Refinement with Guided Image Diffusion. CoRR Avigail Cohen Rimon, Mirela Ben-Chen, Or Litany
2025	J	`jnl`	GAS-NeRF: Geometry-Aware Stylization of Dynamic Radiance Fields. CoRR Nhat Phuong Anh Vu, Abhishek Saroha, Or Litany, Daniel Cremers
2025	A*	`conf`	Gaussian See, Gaussian Do: Semantic 3D Motion Transfer from Multiview Video. SIGGRAPH Asia Yarin Bekor, Gal Michael Harari, Or Perel, Or Litany
2025	J	`jnl`	Gaussian See, Gaussian Do: Semantic 3D Motion Transfer from Multiview Video. CoRR Yarin Bekor, Gal Michael Harari, Or Perel, Or Litany
2025	J	`jnl`	InstructMix2Mix: Consistent Sparse-View Editing Through Multi-View Model Personalization. CoRR Daniel Gilo, Or Litany
2025	J	`jnl`	MonSTeR: a Unified Model for Motion, Scene, Text Retrieval. CoRR Luca Collorone, Matteo Gioia, Massimiliano Pappa, Paolo Leoni, Giovanni Ficarra, Or Litany, Indro Spinelli, Fabio Galasso
2025	A*	`conf`	OmniRe: Omni Urban Scene Reconstruction. ICLR 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
2025	J	`jnl`	RadarGen: Automotive Radar Point Cloud Generation from Cameras. CoRR Tomer Borreda, Fangqiang Ding, Sanja Fidler, Shengyu Huang, Or Litany
2025	J	`jnl`	ReHub: Linear Complexity Graph Transformers with Adaptive Hub-Spoke Reassignment. Trans. Mach. Learn. Res. Tomer Borreda, Daniel Freedman, Or Litany
2025	J	`jnl`	SpaceControl: Introducing Test-Time Spatial Control to 3D Generative Modeling. CoRR Elisabetta Fedele, Francis Engelmann, Ian Huang, Or Litany, Marc Pollefeys, Leonidas J. Guibas
2025	J	`jnl`	Time-to-Move: Training-Free Motion Controlled Video Generation via Dual-Clock Denoising. CoRR Assaf Singer, Noam Rotstein, Amir Mann, Ron Kimmel, Or Litany
2025	J	`jnl`	ZDySS - Zero-Shot Dynamic Scene Stylization using Gaussian Splatting. CoRR Abhishek Saroha, Florian Hofherr, Mariia Gladkova, Cecilia Curreli, Or Litany, Daniel Cremers
2024	A*	`conf`	3DiffTection: 3D Object Detection with Geometry-Aware Diffusion Features. CVPR Chenfeng Xu, Huan Ling, Sanja Fidler, Or Litany
2024	J	`jnl`	A Lesson in Splats: Teacher-Guided Diffusion for 3D Gaussian Splats Generation with 2D Supervision. CoRR Chensheng Peng, Ido Sobol, Masayoshi Tomizuka, Kurt Keutzer, Chenfeng Xu, Or Litany
2024	A*	`conf`	Approximately Piecewise E(3) Equivariant Point Networks. ICLR Matan Atzmon, Jiahui Huang, Francis Williams, Or Litany
2024	J	`jnl`	Approximately Piecewise E(3) Equivariant Point Networks. CoRR Matan Atzmon, Jiahui Huang, Francis Williams, Or Litany
2024	A*	`conf`	Dynamic LiDAR Re-Simulation Using Compositional Neural Fields. CVPR Hanfeng Wu, Xingxing Zuo, Stefan Leutenegger, Or Litany, Konrad Schindler, Shengyu Huang
2024	A*	`conf`	EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision. ICLR Jiawei Yang, Boris Ivanovic, Or Litany, Xinshuo Weng, Seung Wook Kim, Boyi Li, Tong Che, Danfei Xu, Sanja Fidler, Marco Pavone, Yue Wang
2024	J	`jnl`	Epi-NAF: Enhancing Neural Attenuation Fields for Limited-Angle CT with Epipolar Consistency Conditions. CoRR Daniel Gilo, Tzofi Klinghoffer, Or Litany
2024	—	`conf`	Multi-Track Timeline Control for Text-Driven 3D Human Motion Generation. CVPR Workshops Mathis Petrovich, Or Litany, Umar Iqbal, Michael J. Black, Gül Varol, Xue Bin Peng, Davis Rempe
2024	J	`jnl`	Multi-Track Timeline Control for Text-Driven 3D Human Motion Generation. CoRR Mathis Petrovich, Or Litany, Umar Iqbal, Michael J. Black, Gül Varol, Xue Bin Peng, Davis Rempe
2024	J	`jnl`	OmniRe: Omni Urban Scene Reconstruction. CoRR 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
2024	J	`jnl`	OpenSUN3D: 1st Workshop Challenge on Open-Vocabulary 3D Scene Understanding. CoRR 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
2024	J	`jnl`	ReHub: Linear Complexity Graph Transformers with Adaptive Hub-Spoke Reassignment. CoRR Tomer Borreda, Daniel Freedman, Or Litany
2024	A*	`conf`	Robust Symmetry Detection via Riemannian Langevin Dynamics. SIGGRAPH Asia Jihyeon Je, Jiayi Liu, Guandao Yang, Boyang Deng, Shengqu Cai, Gordon Wetzstein, Or Litany, Leonidas J. Guibas
2024	J	`jnl`	Robust Symmetry Detection via Riemannian Langevin Dynamics. CoRR Jihyeon Je, Jiayi Liu, Guandao Yang, Boyang Deng, Shengqu Cai, Gordon Wetzstein, Or Litany, Leonidas J. Guibas
2024	J	`jnl`	Semi-Supervised Semantic Segmentation via Marginal Contextual Information. Trans. Mach. Learn. Res. Moshe Kimhi, Shai Kimhi, Evgenii Zheltonozhskii, Or Litany, Chaim Baskin
2024	—	`conf`	The NeRFect Match: Exploring NeRF Features for Visual Localization. ECCV (24) Qunjie Zhou, Maxim Maximov, Or Litany, Laura Leal-Taixé
2024	J	`jnl`	The NeRFect Match: Exploring NeRF Features for Visual Localization. CoRR Qunjie Zhou, Maxim Maximov, Or Litany, Laura Leal-Taixé
2024	A*	`conf`	UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes. CVPR Dávid Rozenberszki, Or Litany, Angela Dai
2024	A*	`conf`	Zero-to-Hero: Enhancing Zero-Shot Novel View Synthesis via Attention Map Filtering. NeurIPS Ido Sobol, Chenfeng Xu, Or Litany
2024	J	`jnl`	Zero-to-Hero: Enhancing Zero-Shot Novel View Synthesis via Attention Map Filtering. CoRR Ido Sobol, Chenfeng Xu, Or Litany
2023	J	`jnl`	3DiffTection: 3D Object Detection with Geometry-Aware Diffusion Features. CoRR Chenfeng Xu, Huan Ling, Sanja Fidler, Or Litany
2023	J	`jnl`	Dynamic LiDAR Re-simulation using Compositional Neural Fields. CoRR Hanfeng Wu, Xingxing Zuo, Stefan Leutenegger, Or Litany, Konrad Schindler, Shengyu Huang
2023	J	`jnl`	EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision. CoRR Jiawei Yang, Boris Ivanovic, Or Litany, Xinshuo Weng, Seung Wook Kim, Boyi Li, Tong Che, Danfei Xu, Sanja Fidler, Marco Pavone, Yue Wang
2023	A*	`conf`	Fast Monocular Scene Reconstruction with Global-Sparse Local-Dense Grids. CVPR Wei Dong, Christopher B. Choy, Charles Loop, Or Litany, Yuke Zhu, Anima Anandkumar
2023	J	`jnl`	Fast Monocular Scene Reconstruction with Global-Sparse Local-Dense Grids. CoRR Wei Dong, Christopher B. Choy, Charles Loop, Or Litany, Yuke Zhu, Anima Anandkumar
2023	A*	`conf`	Mask3D: Mask Transformer for 3D Semantic Instance Segmentation. ICRA Jonas Schult, Francis Engelmann, Alexander Hermans, Or Litany, Siyu Tang, Bastian Leibe
2023	—	`conf`	Neural Fields for Visual Computing: SIGGRAPH 2023 Course. SIGGRAPH Courses Towaki Takikawa, Shunsuke Saito, James Tompkin, Vincent Sitzmann, Srinath Sridhar, Or Litany, Alex Yu
2023	A*	`conf`	Neural Kernel Surface Reconstruction. CVPR Jiahui Huang, Zan Gojcic, Matan Atzmon, Or Litany, Sanja Fidler, Francis Williams
2023	J	`jnl`	Neural Kernel Surface Reconstruction. CoRR Jiahui Huang, Zan Gojcic, Matan Atzmon, Or Litany, Sanja Fidler, Francis Williams
2023	A*	`conf`	Neural LiDAR Fields for Novel View Synthesis. ICCV Shengyu Huang, Zan Gojcic, Zian Wang, Francis Williams, Yoni Kasten, Sanja Fidler, Konrad Schindler, Or Litany
2023	J	`jnl`	Neural LiDAR Fields for Novel View Synthesis. CoRR Shengyu Huang, Zan Gojcic, Zian Wang, Francis Williams, Yoni Kasten, Sanja Fidler, Konrad Schindler, Or Litany
2023	J	`jnl`	Semi-Supervised Semantic Segmentation via Marginal Contextual Information. CoRR Moshe Kimhi, Shai Kimhi, Evgenii Zheltonozhskii, Or Litany, Chaim Baskin
2023	A*	`conf`	Towards Viewpoint Robustness in Bird's Eye View Segmentation. ICCV Tzofi Klinghoffer, Jonah Philion, Wenzheng Chen, Or Litany, Zan Gojcic, Jungseock Joo, Ramesh Raskar, Sanja Fidler, José M. Álvarez
2023	J	`jnl`	Towards Viewpoint Robustness in Bird's Eye View Segmentation. CoRR Tzofi Klinghoffer, Jonah Philion, Wenzheng Chen, Or Litany, Zan Gojcic, Jungseock Joo, Ramesh Raskar, Sanja Fidler, José M. Álvarez
2023	A*	`conf`	Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion. CVPR Davis Rempe, Zhengyi Luo, Xue Bin Peng, Ye Yuan, Kris Kitani, Karsten Kreis, Sanja Fidler, Or Litany
2023	J	`jnl`	Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion. CoRR Davis Rempe, Zhengyi Luo, Xue Bin Peng, Ye Yuan, Kris Kitani, Karsten Kreis, Sanja Fidler, Or Litany
2023	J	`jnl`	UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes. CoRR Dávid Rozenberszki, Or Litany, Angela Dai
2022	J	`jnl`	Causal Scene BERT: Improving object detection by searching for challenging groups of data. CoRR Cinjon Resnick, Or Litany, Amlan Kar, Karsten Kreis, James Lucas, Kyunghyun Cho, Sanja Fidler
2022	A	`conf`	Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels. WACV Evgenii Zheltonozhskii, Chaim Baskin, Avi Mendelson, Alex M. Bronstein, Or Litany
2022	J	`jnl`	Federated Learning with Heterogeneous Architectures using Graph HyperNetworks. CoRR Or Litany, Haggai Maron, David Acuna, Jan Kautz, Gal Chechik, Sanja Fidler
2022	A*	`conf`	GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images. NeurIPS Jun Gao, Tianchang Shen, Zian Wang, Wenzheng Chen, Kangxue Yin, Daiqing Li, Or Litany, Zan Gojcic, Sanja Fidler
2022	J	`jnl`	GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images. CoRR Jun Gao, Tianchang Shen, Zian Wang, Wenzheng Chen, Kangxue Yin, Daiqing Li, Or Litany, Zan Gojcic, Sanja Fidler
2022	A*	`conf`	Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior. CVPR Davis Rempe, Jonah Philion, Leonidas J. Guibas, Sanja Fidler, Or Litany
2022	A*	`conf`	LION: Latent Point Diffusion Models for 3D Shape Generation. NeurIPS Xiaohui Zeng, Arash Vahdat, Francis Williams, Zan Gojcic, Or Litany, Sanja Fidler, Karsten Kreis
2022	J	`jnl`	LION: Latent Point Diffusion Models for 3D Shape Generation. CoRR Xiaohui Zeng, Arash Vahdat, Francis Williams, Zan Gojcic, Or Litany, Sanja Fidler, Karsten Kreis
2022	—	`conf`	Language-Grounded Indoor 3D Semantic Segmentation in the Wild. ECCV (33) Dávid Rozenberszki, Or Litany, Angela Dai
2022	J	`jnl`	Language-Grounded Indoor 3D Semantic Segmentation in the Wild. CoRR Dávid Rozenberszki, Or Litany, Angela Dai
2022	—	`conf`	Learning Smooth Neural Functions via Lipschitz Regularization. SIGGRAPH (Conference Paper Track) Hsueh-Ti Derek Liu, Francis Williams, Alec Jacobson, Sanja Fidler, Or Litany
2022	J	`jnl`	Learning Smooth Neural Functions via Lipschitz Regularization. CoRR Hsueh-Ti Derek Liu, Francis Williams, Alec Jacobson, Sanja Fidler, Or Litany
2022	J	`jnl`	Learning Spectral Unions of Partial Deformable 3D Shapes. Comput. Graph. Forum Luca Moschella, Simone Melzi, Luca Cosmo, Filippo Maggioli, Or Litany, Maks Ovsjanikov, Leonidas J. Guibas, Emanuele Rodolà
2022	J	`jnl`	Mask3D for 3D Semantic Instance Segmentation. CoRR Jonas Schult, Francis Engelmann, Alexander Hermans, Or Litany, Siyu Tang, Bastian Leibe
2022	—	`conf`	MvDeCor: Multi-view Dense Correspondence Learning for Fine-Grained 3D Segmentation. ECCV (2) Gopal Sharma, Kangxue Yin, Subhransu Maji, Evangelos Kalogerakis, Or Litany, Sanja Fidler
2022	J	`jnl`	MvDeCor: Multi-view Dense Correspondence Learning for Fine-grained 3D Segmentation. CoRR Gopal Sharma, Kangxue Yin, Subhransu Maji, Evangelos Kalogerakis, Or Litany, Sanja Fidler
2022	A*	`conf`	Neural Fields as Learnable Kernels for 3D Reconstruction. CVPR Francis Williams, Zan Gojcic, Sameh Khamis, Denis Zorin, Joan Bruna, Sanja Fidler, Or Litany
2022	J	`jnl`	Neural Fields in Visual Computing and Beyond. Comput. Graph. Forum Yiheng Xie, Towaki Takikawa, Shunsuke Saito, Or Litany, Shiqin Yan, Numair Khan, Federico Tombari, James Tompkin, Vincent Sitzmann, Srinath Sridhar
2021	A*	`conf`	3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection. CVPR He Wang, Yezhen Cong, Or Litany, Yue Gao, Leonidas J. Guibas
2021	—	`conf`	Causal BERT: Improving object detection by searching for challenging groups. ICCVW Cinjon Resnick, Or Litany, Amlan Kar, Karsten Kreis, James Lucas, Kyunghyun Cho, Sanja Fidler
2021	A	`conf`	Continuous Geodesic Convolutions for Learning on 3D Shapes. WACV Zhangsihao Yang, Or Litany, Tolga Birdal, Srinath Sridhar, Leonidas J. Guibas
2021	J	`jnl`	Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels. CoRR Evgenii Zheltonozhskii, Chaim Baskin, Avi Mendelson, Alex M. Bronstein, Or Litany
2021	A*	`conf`	DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer. NeurIPS Wenzheng Chen, Joey Litalien, Jun Gao, Zian Wang, Clement Fuji Tsang, Sameh Khamis, Or Litany, Sanja Fidler
2021	J	`jnl`	DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer. CoRR Wenzheng Chen, Joey Litalien, Jun Gao, Zian Wang, Clement Fuji Tsang, Sameh Khamis, Or Litany, Sanja Fidler
2021	J	`jnl`	Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior. CoRR Davis Rempe, Jonah Philion, Leonidas J. Guibas, Sanja Fidler, Or Litany
2021	—	`conf`	Mix3D: Out-of-Context Data Augmentation for 3D Scenes. 3DV Alexey Nekrasov, Jonas Schult, Or Litany, Bastian Leibe, Francis Engelmann
2021	J	`jnl`	Mix3D: Out-of-Context Data Augmentation for 3D Scenes. CoRR Alexey Nekrasov, Jonas Schult, Or Litany, Bastian Leibe, Francis Engelmann
2021	J	`jnl`	Neural Fields as Learnable Kernels for 3D Reconstruction. CoRR Francis Williams, Zan Gojcic, Sameh Khamis, Denis Zorin, Joan Bruna, Sanja Fidler, Or Litany
2021	J	`jnl`	Neural Fields in Visual Computing and Beyond. CoRR Yiheng Xie, Towaki Takikawa, Shunsuke Saito, Or Litany, Shiqin Yan, Numair Khan, Federico Tombari, James Tompkin, Vincent Sitzmann, Srinath Sridhar
2021	A*	`conf`	On Learning Sets of Symmetric Elements (Extended Abstract). IJCAI Haggai Maron, Or Litany, Gal Chechik, Ethan Fetaya
2021	A*	`conf`	ReLMoGen: Integrating Motion Generation in Reinforcement Learning for Mobile Manipulation. ICRA Fei Xia, Chengshu Li, Roberto Martín-Martín, Or Litany, Alexander Toshev, Silvio Savarese
2021	A	`conf`	Representation Learning Through Latent Canonicalizations. WACV Or Litany, Ari Morcos, Srinath Sridhar, Leonidas J. Guibas, Judy Hoffman
2021	J	`jnl`	Self-Supervised Equivariant Scene Synthesis from Video. CoRR Cinjon Resnick, Or Litany, Cosmas Heiß, Hugo Larochelle, Joan Bruna, Kyunghyun Cho
2021	J	`jnl`	Spectral Unions of Partial Deformable 3D Shapes. CoRR Luca Moschella, Simone Melzi, Luca Cosmo, Filippo Maggioli, Or Litany, Maks Ovsjanikov, Leonidas J. Guibas, Emanuele Rodolà
2021	J	`jnl`	StrobeNet: Category-Level Multiview Reconstruction of Articulated Objects. CoRR Ge Zhang, Or Litany, Srinath Sridhar, Leonidas J. Guibas
2021	A*	`conf`	Vector Neurons: A General Framework for SO(3)-Equivariant Networks. ICCV Congyue Deng, Or Litany, Yueqi Duan, Adrien Poulenard, Andrea Tagliasacchi, Leonidas J. Guibas
2021	J	`jnl`	Vector Neurons: A General Framework for SO(3)-Equivariant Networks. CoRR Congyue Deng, Or Litany, Yueqi Duan, Adrien Poulenard, Andrea Tagliasacchi, Leonidas J. Guibas
2021	A*	`conf`	Weakly Supervised Learning of Rigid 3D Scene Flow. CVPR Zan Gojcic, Or Litany, Andreas Wieser, Leonidas J. Guibas, Tolga Birdal
2021	J	`jnl`	Weakly Supervised Learning of Rigid 3D Scene Flow. CoRR Zan Gojcic, Or Litany, Andreas Wieser, Leonidas J. Guibas, Tolga Birdal
2020	J	`jnl`	3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection. CoRR He Wang, Yezhen Cong, Or Litany, Yue Gao, Leonidas J. Guibas
2020	J	`jnl`	Continuous Geodesic Convolutions for Learning on 3D Shapes. CoRR Zhangsihao Yang, Or Litany, Tolga Birdal, Srinath Sridhar, Leonidas J. Guibas
2020	J	`jnl`	Human 3D keypoints via spatial uncertainty modeling. CoRR Francis Williams, Or Litany, Avneesh Sud, Kevin Swersky, Andrea Tagliasacchi
2020	A*	`conf`	ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes. CVPR Charles R. Qi, Xinlei Chen, Or Litany, Leonidas J. Guibas
2020	J	`jnl`	ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes. CoRR Charles R. Qi, Xinlei Chen, Or Litany, Leonidas J. Guibas
2020	J	`jnl`	Learned Equivariant Rendering without Transformation Supervision. CoRR Cinjon Resnick, Or Litany, Hugo Larochelle, Joan Bruna, Kyunghyun Cho
2020	J	`jnl`	Non-Rigid Puzzles. CoRR Or Litany, Emanuele Rodolà, Alex M. Bronstein, Michael M. Bronstein, Daniel Cremers
2020	J	`jnl`	Object-Centric Multi-View Aggregation. CoRR Shubham Tulsiani, Or Litany, Charles R. Qi, He Wang, Leonidas J. Guibas
2020	A*	`conf`	On Learning Sets of Symmetric Elements. ICML Haggai Maron, Or Litany, Gal Chechik, Ethan Fetaya
2020	J	`jnl`	On Learning Sets of Symmetric Elements. CoRR Haggai Maron, Or Litany, Gal Chechik, Ethan Fetaya
2020	—	`conf`	PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding. ECCV (3) Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas J. Guibas, Or Litany
2020	J	`jnl`	PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding. CoRR Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas J. Guibas, Or Litany
2020	J	`jnl`	ReLMoGen: Leveraging Motion Generation in Reinforcement Learning for Mobile Manipulation. CoRR Fei Xia, Chengshu Li, Roberto Martín-Martín, Or Litany, Alexander Toshev, Silvio Savarese
2020	J	`jnl`	Representation Learning Through Latent Canonicalizations. CoRR Or Litany, Ari Morcos, Srinath Sridhar, Leonidas J. Guibas, Judy Hoffman
2020	J	`jnl`	The Whole Is Greater Than the Sum of Its Nonrigid Parts. CoRR Oshri Halimi, Ido Imanuel, Or Litany, Giovanni Trappolini, Emanuele Rodolà, Leonidas J. Guibas, Ron Kimmel
2020	—	`conf`	Towards Precise Completion of Deformable Shapes. ECCV (24) Oshri Halimi, Ido Imanuel, Or Litany, Giovanni Trappolini, Emanuele Rodolà, Leonidas J. Guibas, Ron Kimmel
2019	A*	`conf`	Deep Hough Voting for 3D Object Detection in Point Clouds. ICCV Charles R. Qi, Or Litany, Kaiming He, Leonidas J. Guibas
2019	J	`jnl`	Deep Hough Voting for 3D Object Detection in Point Clouds. CoRR Charles R. Qi, Or Litany, Kaiming He, Leonidas J. Guibas
2019	—	`conf`	Deep Learning for Computer Graphics and Geometry Processing. Eurographics (Tutorials) Michael M. Bronstein, Leonidas J. Guibas, Iasonas Kokkinos, Or Litany, Niloy J. Mitra, Federico Monti, Emanuele Rodolà
2019	—	`conf`	Shape Correspondence with Isometric and Non-Isometric Deformations. 3DOR@Eurographics 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
2019	A*	`conf`	Unsupervised Learning of Dense Shape Correspondence. CVPR Oshri Halimi, Or Litany, Emanuele Rodolà, Alexander M. Bronstein, Ron Kimmel
2018	J	`jnl`	Class-Aware Fully Convolutional Gaussian and Poisson Denoising. IEEE Trans. Image Process. Tal Remez, Or Litany, Raja Giryes, Alexander M. Bronstein
2018	J	`jnl`	Class-Aware Fully-Convolutional Gaussian and Poisson Denoising. CoRR Tal Remez, Or Litany, Raja Giryes, Alexander M. Bronstein
2018	A*	`conf`	Deformable Shape Completion With Graph Convolutional Autoencoders. CVPR Or Litany, Alexander M. Bronstein, Michael M. Bronstein, Ameesh Makadia
2018	J	`jnl`	Dual-Primal Graph Convolutional Networks. CoRR Federico Monti, Oleksandr Shchur, Aleksandar Bojchevski, Or Litany, Stephan Günnemann, Michael M. Bronstein
2018	J	`jnl`	SOSELETO: A Unified Approach to Transfer Learning and Training with Noisy Labels. CoRR Or Litany, Daniel Freedman
2018	J	`jnl`	Self-supervised Learning of Dense Shape Correspondence. CoRR Oshri Halimi, Or Litany, Emanuele Rodolà, Alexander M. Bronstein, Ron Kimmel
2017	J	`jnl`	ASIST: Automatic semantically invariant scene transformation. Comput. Vis. Image Underst. Or Litany, Tal Remez, Daniel Freedman, Lior Shapira, Alexander M. Bronstein, Ran Gal
2017	J	`jnl`	Deep Class Aware Denoising. CoRR Tal Remez, Or Litany, Raja Giryes, Alexander M. Bronstein
2017	J	`jnl`	Deep Convolutional Denoising of Low-Light Images. CoRR Tal Remez, Or Litany, Raja Giryes, Alexander M. Bronstein
2017	A*	`conf`	Deep Functional Maps: Structured Prediction for Dense Shape Correspondence. ICCV Or Litany, Tal Remez, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein
2017	J	`jnl`	Deep Functional Maps: Structured Prediction for Dense Shape Correspondence. CoRR Or Litany, Tal Remez, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein
2017	B	`conf`	Deep class-aware image denoising. ICIP Tal Remez, Or Litany, Raja Giryes, Alexander M. Bronstein
2017	J	`jnl`	Deformable Shape Completion with Graph Convolutional Autoencoders. CoRR Or Litany, Alexander M. Bronstein, Michael M. Bronstein, Ameesh Makadia
2017	—	`conf`	Deformable Shape Retrieval with Missing Parts. 3DOR@Eurographics 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
2017	—	`conf`	Efficient Deformable Shape Correspondence via Kernel Matching. 3DV Matthias Vestner, Zorah Lähner, Amit Boyarski, Or Litany, Ron Slossberg, Tal Remez, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Daniel Cremers
2017	J	`jnl`	Efficient Deformable Shape Correspondence via Kernel Matching. CoRR Zorah Lähner, Matthias Vestner, Amit Boyarski, Or Litany, Ron Slossberg, Tal Remez, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Daniel Cremers
2017	J	`jnl`	Fully Spectral Partial Shape Matching. Comput. Graph. Forum Or Litany, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein
2017	—	`conf`	White Matter Fiber Representation Using Continuous Dictionary Learning. MICCAI (1) Guy Alexandroni, Yana Podolsky, Hayit Greenspan, Tal Remez, Or Litany, Alexander M. Bronstein, Raja Giryes
2016	B	`conf`	A picture is worth a billion bits: Real-time image reconstruction from dense binary threshold pixels. ICCP Tal Remez, Or Litany, Alexander M. Bronstein
2016	J	`jnl`	Cloud Dictionary: Sparse Coding and Modeling for Point Clouds. CoRR Or Litany, Tal Remez, Alexander M. Bronstein
2016	J	`jnl`	FPGA system for real-time computational extended depth of field imaging using phase aperture coding. CoRR Tal Remez, Or Litany, Shachar Yoseff, Harel Haim, Alexander M. Bronstein
2016	J	`jnl`	Non-Rigid Puzzles. Comput. Graph. Forum Or Litany, Emanuele Rodolà, Alexander M. Bronstein, Michael M. Bronstein, Daniel Cremers
2015	J	`jnl`	A Picture is Worth a Billion Bits: Real-Time Image Reconstruction from Dense Binary Pixels. CoRR Tal Remez, Or Litany, Alexander M. Bronstein
2015	J	`jnl`	ASIST: Automatic Semantically Invariant Scene Transformation. CoRR Or Litany, Tal Remez, Daniel Freedman, Lior Shapira, Alexander M. Bronstein, Ran Gal
2015	J	`jnl`	Image reconstruction from dense binary pixels. CoRR Or Litany, Tal Remez, Alexander M. Bronstein
2012	—	`conf`	Putting the Pieces Together: Regularized Multi-part Shape Matching. ECCV Workshops (1) Or Litany, Alexander M. Bronstein, Michael M. Bronstein