← Authors

Or Litany

37 papers · 2017–2025 · 8 conferences · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (55) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (8) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (7) 🐝 Cross-Pollinator (15) πŸ”¬ Deep Specialist (16) 🀝 Dynamic Duo (13) πŸ”₯ Unstoppable (9) πŸ—ƒοΈ Keyword Collector (141) πŸ’Ž Century Club (37) ⚑ Prolific Year (7)

Conferences

CVPR (13) ICCV (7) ECCV (5) NIPS (4) ICLR (3) WACV (3) ICML (1) IJCAI (1)

Top co-authors

Sanja Fidler (13) Zan Gojcic (8) Leonidas J. Guibas (6) Francis Williams (5) Leonidas Guibas (4) Chenfeng Xu (3) Jiahui Huang (3) Zian Wang (3) Charles R. Qi (3) Emanuele RodolΓ  (3)

Keywords

point cloud (7) 3d reconstruction (4) 3d vision (4) diffusion model (4) 3d object detection (4) autonomous driving (4) neural field (3) variational autoencoder (3) object detection (2) representation learning (2) scene understanding (2) domain generalization (2) unsupervised learning (2) collision avoidance (2) neural rendering (2) semi-supervised learning (2) motion planning (2) zero-shot learning (2) scene reconstruction (2) surface reconstruction (2)

Papers

A Lesson in Splats: Teacher-Guided Diffusion for 3D Gaussian Splats Generation with 2D Supervision ICCV 2025
OmniRe: Omni Urban Scene Reconstruction ICLR 2025
MonSTeR: a Unified Model for Motion, Scene, Text Retrieval ICCV 2025
The Nerfect Match: Exploring NeRF Features for Visual Localization ECCV 2024
Zero-to-Hero: Enhancing Zero-Shot Novel View Synthesis via Attention Map Filtering NIPS 2024
Approximately Piecewise E(3) Equivariant Point Networks ICLR 2024
UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes CVPR 2024
Dynamic LiDAR Re-simulation using Compositional Neural Fields CVPR 2024
3DiffTection: 3D Object Detection with Geometry-Aware Diffusion Features CVPR 2024
EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision ICLR 2024
Neural Kernel Surface Reconstruction CVPR 2023
Towards Viewpoint Robustness in Bird's Eye View Segmentation ICCV 2023
Neural LiDAR Fields for Novel View Synthesis ICCV 2023
Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion CVPR 2023
Fast Monocular Scene Reconstruction With Global-Sparse Local-Dense Grids CVPR 2023
GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images NIPS 2022
Neural Fields As Learnable Kernels for 3D Reconstruction CVPR 2022
Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior CVPR 2022
MvDeCor: Multi-View Dense Correspondence Learning for Fine-Grained 3D Segmentation ECCV 2022
Language-Grounded Indoor 3D Semantic Segmentation in the Wild ECCV 2022
Contrast To Divide: Self-Supervised Pre-Training for Learning With Noisy Labels WACV 2022
LION: Latent Point Diffusion Models for 3D Shape Generation NIPS 2022
DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer NIPS 2021
Weakly Supervised Learning of Rigid 3D Scene Flow CVPR 2021
3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection CVPR 2021
Vector Neurons: A General Framework for SO(3)-Equivariant Networks ICCV 2021
On Learning Sets of Symmetric Elements (Extended Abstract) IJCAI 2021
Continuous Geodesic Convolutions for Learning on 3D Shapes WACV 2021
Representation Learning Through Latent Canonicalizations WACV 2021
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding ECCV 2020
ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes CVPR 2020
On Learning Sets of Symmetric Elements ICML 2020
Towards Precise Completion of Deformable Shapes ECCV 2020
Deep Hough Voting for 3D Object Detection in Point Clouds ICCV 2019
Unsupervised Learning of Dense Shape Correspondence CVPR 2019
Deformable Shape Completion With Graph Convolutional Autoencoders CVPR 2018
Deep Functional Maps: Structured Prediction for Dense Shape Correspondence ICCV 2017