← Authors

Simon Lucey

63 papers · 2013–2026 · 8 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (13) 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (86) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏠 Conference Loyalist (25) 🀝 Dynamic Duo (11) πŸ† Keyword Champion (2) πŸ† Grand Slam πŸ”¬ Deep Specialist (20) πŸ’Ž Century Club (62) πŸ—ƒοΈ Keyword Collector (250) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (14) ❓ The Questioner ⚑ Prolific Year (9) πŸš€ Conference Pioneer

Conferences

CVPR (25) ICCV (16) ECCV (6) WACV (6) NIPS (5) AAAI (2) ICML (2) ICLR (1)

Top co-authors

Hemanth Saratchandran (12) Sameera Ramasinghe (11) Chaoyang Wang (8) Chen-Hsuan Lin (6) Shin-Fang Chng (5) Xueqian Li (5) Hamed Kiani Galoogahi (5) Chen Kong (4) Jhony Kaesemodel Pontes (4) Deva Ramanan (4)

Research topics

Core AI (1)

Keywords

3d reconstruction (9) scene flow (6) neural network (5) structure from motion (5) neural radiance field (5) non-rigid structure from motion (5) point cloud (4) dictionary learning (4) gaussian splatting (3) novel view synthesis (3) skip connection (3) object detection (3) camera pose estimation (3) monocular video (3) sparse coding (3) point cloud registration (3) neural field (3) image reconstruction (2) unsupervised learning (2) fourier analysis (2)

Papers

DARB-Splatting: Generalizing Splatting with Decaying Anisotropic Radial Basis Functions WACV 2026
SineLoRAβˆ†: Sine-Activated Delta Compression AAAI 2026
RAT4D: Rig and Animate Objects without Surface Templates in 4D WACV 2026
3D Gaussian Point Encoders WACV 2026
Enhancing Transformers Through Conditioned Embedded Tokens ICCV 2025
Efficient Learning with Sine-Activated Low-Rank Matrices ICLR 2025
Preconditioners for the Stochastic Training of Neural Fields CVPR 2025
Region-Level Data Attribution for Text-to-Image Generative Models ICCV 2025
Always Skip Attention ICCV 2025
Weight Conditioning for Smooth Optimization of Neural Networks ECCV 2024
3D-LFM: Lifting Foundation Model CVPR 2024
SeMoLi: What Moves Together Belongs Together CVPR 2024
From Activation to Initialization: Scaling Insights for Optimizing Neural Fields CVPR 2024
Re-Evaluating LiDAR Scene Flow WACV 2024
A sampling theory perspective on activations for implicit neural representations ICML 2024
Invertible Neural Warp for NeRF ECCV 2024
A Learnable Radial Basis Positional Embedding for Coordinate-MLPs AAAI 2023
Fast Neural Scene Flow ICCV 2023
On skip connections and normalisation layers in deep optimisation NIPS 2023
Neural Radiance Field with LiDAR maps ICCV 2023
On Quantizing Implicit Neural Representations WACV 2023
Flow Supervision for Deformable NeRF CVPR 2023
How much does Initialization Affect Generalization? ICML 2023
Curvature-Aware Training for Coordinate Networks ICCV 2023
Neural Prior for Trajectory Estimation CVPR 2022
Enabling Equivariance for Arbitrary Lie Groups CVPR 2022
MBW: Multi-view Bootstrapping in the Wild NIPS 2022
Trading Positional Complexity vs Deepness in Coordinate Networks ECCV 2022
Beyond Periodicity: Towards a Unifying Framework for Activations in Coordinate-MLPs ECCV 2022
Gaussian Activated Neural Radiance Fields for High Fidelity Reconstruction & Pose Estimation ECCV 2022
On the Frequency-bias of Coordinate-MLPs NIPS 2022
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions With Superior OOD Generalization CVPR 2022
Long-Term Visual Map Sparsification With Heterogeneous GNN CVPR 2022
Neural Scene Flow Prior NIPS 2021
BARF: Bundle-Adjusting Neural Radiance Fields ICCV 2021
Architectural Adversarial Robustness: The Case for Deep Pursuit CVPR 2021
PAUL: Procrustean Autoencoder for Unsupervised Lifting CVPR 2021
PointNetLK Revisited CVPR 2021
High Accuracy Face Geometry Capture using a Smartphone Video WACV 2020
Dataless Model Selection With the Deep Frame Potential CVPR 2020
When to Use Convolutional Neural Networks for Inverse Problems CVPR 2020
SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images NIPS 2020
Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction CVPR 2019
PointNetLK: Robust & Efficient Point Cloud Registration Using PointNet CVPR 2019
Argoverse: 3D Tracking and Forecasting With Rich Maps CVPR 2019
Distill Knowledge From NRSfM for Weakly Supervised 3D Pose Learning ICCV 2019
Deep Non-Rigid Structure From Motion ICCV 2019
Learning Depth From Monocular Videos Using Direct Methods CVPR 2018
ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing CVPR 2018
Deep Component Analysis via Alternating Direction Neural Networks ECCV 2018
Rethinking Reprojection: Closing the Loop for Pose-Aware Shape Reconstruction From a Single Image ICCV 2017
Learning Background-Aware Correlation Filters for Visual Tracking ICCV 2017
Need for Speed: A Benchmark for Higher Frame Rate Object Tracking ICCV 2017
Learning Policies for Adaptive Tracking With Deep Feature Cascades ICCV 2017
Using Locally Corresponding CAD Models for Dense 3D Reconstructions From a Single Image CVPR 2017
Inverse Compositional Spatial Transformer Networks CVPR 2017
Prior-Less Compressible Structure From Motion CVPR 2016
Dense Semantic Correspondence Where Every Pixel is a Classifier ICCV 2015
Correlation Filters With Limited Boundaries CVPR 2015
Complex Non-Rigid Motion 3D Reconstruction by Union of Subspaces CVPR 2014
Fast Convolutional Sparse Coding CVPR 2013
Multi-channel Correlation Filters ICCV 2013
Rank Minimization across Appearance and Shape for AAM Ensemble Fitting ICCV 2013