Simon Lucey
63 papers · 2013–2026 · 8 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+15 more ↓ Show less ↑
π Interdisciplinary Bridge π Conference Polyglot (8) π Academic Marathon (13) π Renaissance Researcher (7) πΊοΈ Taxonomy Completionist (86)
πΊοΈ
Taxonomy Completionist
(86)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Conference Loyalist
(25)
π€
Dynamic Duo
(11)
π
Keyword Champion
(2)
π
Grand Slam
π¬
Deep Specialist
(20)
π
Century Club
(62)
ποΈ
Keyword Collector
(250)
π
Trend Setter
π₯
Unstoppable
(14)
β
The Questioner
β‘
Prolific Year
(9)
π
Conference Pioneer
Conferences
CVPR (25)
ICCV (16)
ECCV (6)
WACV (6)
NIPS (5)
AAAI (2)
ICML (2)
ICLR (1)
Top co-authors
Research topics
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
SineLoRAβ: 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