Or Litany

Orcid: 0000-0001-6700-7379

According to our database1, Or Litany authored at least 79 papers between 2012 and 2024.

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Bibliography

2024
Semi-Supervised Semantic Segmentation via Marginal Contextual Information.
Trans. Mach. Learn. Res., 2024

OmniRe: Omni Urban Scene Reconstruction.
CoRR, 2024

Zero-to-Hero: Enhancing Zero-Shot Novel View Synthesis via Attention Map Filtering.
CoRR, 2024

OpenSUN3D: 1st Workshop Challenge on Open-Vocabulary 3D Scene Understanding.
CoRR, 2024

Robust Symmetry Detection via Riemannian Langevin Dynamics.
Proceedings of the SIGGRAPH Asia 2024 Conference Papers, 2024

EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Approximately Piecewise E(3) Equivariant Point Networks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

The NeRFect Match: Exploring NeRF Features for Visual Localization.
Proceedings of the Computer Vision - ECCV 2024, 2024

3DiffTection: 3D Object Detection with Geometry-Aware Diffusion Features.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Dynamic LiDAR Re-Simulation Using Compositional Neural Fields.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Multi-Track Timeline Control for Text-Driven 3D Human Motion Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Neural Fields for Visual Computing: SIGGRAPH 2023 Course.
Proceedings of the ACM SIGGRAPH 2023 Courses, 2023

Mask3D: Mask Transformer for 3D Semantic Instance Segmentation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Towards Viewpoint Robustness in Bird's Eye View Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Neural LiDAR Fields for Novel View Synthesis.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Neural Kernel Surface Reconstruction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Fast Monocular Scene Reconstruction with Global-Sparse Local-Dense Grids.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Mask3D for 3D Semantic Instance Segmentation.
CoRR, 2022

Causal Scene BERT: Improving object detection by searching for challenging groups of data.
CoRR, 2022

Federated Learning with Heterogeneous Architectures using Graph HyperNetworks.
CoRR, 2022

Neural Fields in Visual Computing and Beyond.
Comput. Graph. Forum, 2022

Learning Spectral Unions of Partial Deformable 3D Shapes.
Comput. Graph. Forum, 2022

Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Learning Smooth Neural Functions via Lipschitz Regularization.
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.
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.
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.
Proceedings of the Computer Vision - ECCV 2022, 2022

Language-Grounded Indoor 3D Semantic Segmentation in the Wild.
Proceedings of the Computer Vision - ECCV 2022, 2022

Neural Fields as Learnable Kernels for 3D Reconstruction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
StrobeNet: Category-Level Multiview Reconstruction of Articulated Objects.
CoRR, 2021

Spectral Unions of Partial Deformable 3D Shapes.
CoRR, 2021

Self-Supervised Equivariant Scene Synthesis from Video.
CoRR, 2021

Continuous Geodesic Convolutions for Learning on 3D Shapes.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Representation Learning Through Latent Canonicalizations.
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.
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).
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

ReLMoGen: Integrating Motion Generation in Reinforcement Learning for Mobile Manipulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Causal BERT: Improving object detection by searching for challenging groups.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Vector Neurons: A General Framework for SO(3)-Equivariant Networks.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Weakly Supervised Learning of Rigid 3D Scene Flow.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Mix3D: Out-of-Context Data Augmentation for 3D Scenes.
Proceedings of the International Conference on 3D Vision, 2021

2020
Human 3D keypoints via spatial uncertainty modeling.
CoRR, 2020

Learned Equivariant Rendering without Transformation Supervision.
CoRR, 2020

ReLMoGen: Leveraging Motion Generation in Reinforcement Learning for Mobile Manipulation.
CoRR, 2020

Object-Centric Multi-View Aggregation.
CoRR, 2020

The Whole Is Greater Than the Sum of Its Nonrigid Parts.
CoRR, 2020

On Learning Sets of Symmetric Elements.
Proceedings of the 37th International Conference on Machine Learning, 2020

PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding.
Proceedings of the Computer Vision - ECCV 2020, 2020

Towards Precise Completion of Deformable Shapes.
Proceedings of the Computer Vision - ECCV 2020, 2020

ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes.
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.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Deep Learning for Computer Graphics and Geometry Processing.
Proceedings of the 40th Annual Conference of the European Association for Computer Graphics, 2019

Unsupervised Learning of Dense Shape Correspondence.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019


2018
Class-Aware Fully Convolutional Gaussian and Poisson Denoising.
IEEE Trans. Image Process., 2018

Self-supervised Learning of Dense Shape Correspondence.
CoRR, 2018

Dual-Primal Graph Convolutional Networks.
CoRR, 2018

SOSELETO: A Unified Approach to Transfer Learning and Training with Noisy Labels.
CoRR, 2018

Deformable Shape Completion With Graph Convolutional Autoencoders.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
ASIST: Automatic semantically invariant scene transformation.
Comput. Vis. Image Underst., 2017

Deep Class Aware Denoising.
CoRR, 2017

Deep Convolutional Denoising of Low-Light Images.
CoRR, 2017

Fully Spectral Partial Shape Matching.
Comput. Graph. Forum, 2017

White Matter Fiber Representation Using Continuous Dictionary Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Deep class-aware image denoising.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Deep Functional Maps: Structured Prediction for Dense Shape Correspondence.
Proceedings of the IEEE International Conference on Computer Vision, 2017


Efficient Deformable Shape Correspondence via Kernel Matching.
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.
CoRR, 2016

Cloud Dictionary: Sparse Coding and Modeling for Point Clouds.
CoRR, 2016

Non-Rigid Puzzles.
Comput. Graph. Forum, 2016

A picture is worth a billion bits: Real-time image reconstruction from dense binary threshold pixels.
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.
CoRR, 2015

Image reconstruction from dense binary pixels.
CoRR, 2015

2012
Putting the Pieces Together: Regularized Multi-part Shape Matching.
Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012


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