Simon Lucey

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 162

Top Venues

CoRR

CVPR

ICCV

3DV

Publications

Shin-Fang Chng, Ravi Garg, Hemanth Saratchandran, Simon Lucey
Invertible Neural Warp for NeRF. CoRR (2024)
Hemanth Saratchandran, Shin-Fang Chng, Simon Lucey
Architectural Strategies for the optimization of Physics-Informed Neural Networks. CoRR (2024)
Cameron Gordon, Lachlan Ewen MacDonald, Hemanth Saratchandran, Simon Lucey
D'OH: Decoder-Only random Hypernetworks for Implicit Neural Representations. CoRR (2024)
Jenny Seidenschwarz, Aljosa Osep, Francesco Ferroni, Simon Lucey, Laura Leal-Taixé
SeMoLi: What Moves Together Belongs Together. CoRR (2024)
Jianqiao Zheng, Xueqian Li, Simon Lucey
Convolutional Initialization for Data-Efficient Vision Transformers. CoRR (2024)
Kavisha Vidanapathirana, Shin-Fang Chng, Xueqian Li, Simon Lucey
Multi-Body Neural Scene Flow. 3DV (2024)
Hemanth Saratchandran, Sameera Ramasinghe, Simon Lucey
From Activation to Initialization: Scaling Insights for Optimizing Neural Fields. CoRR (2024)
Nathaniel Chodosh, Anish Madan, Deva Ramanan, Simon Lucey
Simultaneous Map and Object Reconstruction. CoRR (2024)
Nathaniel Chodosh, Deva Ramanan, Simon Lucey
Re-Evaluating LiDAR Scene Flow. WACV (2024)
Hemanth Saratchandran, Sameera Ramasinghe, Violetta Shevchenko, Alexander Long, Simon Lucey
A Sampling Theory Perspective on Activations for Implicit Neural Representations. CoRR (2024)
Xueqian Li, Simon Lucey
Fast Kernel Scene Flow. CoRR (2024)
Hemanth Saratchandran, Shin-Fang Chng, Simon Lucey
Analyzing the Neural Tangent Kernel of Periodically Activated Coordinate Networks. CoRR (2024)
Shin-Fang Chng, Hemanth Saratchandran, Simon Lucey
Preconditioners for the Stochastic Training of Implicit Neural Representations. CoRR (2024)
Yiping Ji, Hemanth Saratchandran, Cameron Gordon, Zeyu Zhang, Simon Lucey
Sine Activated Low-Rank Matrices for Parameter Efficient Learning. CoRR (2024)
Jianqiao Zheng, Xueqian Li, Simon Lucey
Structured Initialization for Attention in Vision Transformers. CoRR (2024)
Jianqiao Zheng, Xueqian Li, Sameera Ramasinghe, Simon Lucey
Robust Point Cloud Processing Through Positional Embedding. 3DV (2024)
Cameron Gordon, Shin-Fang Chng, Lachlan E. MacDonald, Simon Lucey
On Quantizing Implicit Neural Representations. WACV (2023)
Xueqian Li, Jianqiao Zheng, Francesco Ferroni, Jhony Kaesemodel Pontes, Simon Lucey
Fast Neural Scene Flow. ICCV (2023)
Xueqian Li, Jianqiao Zheng, Francesco Ferroni, Jhony Kaesemodel Pontes, Simon Lucey
Fast Neural Scene Flow. CoRR (2023)
Lachlan Ewen MacDonald, Jack Valmadre, Simon Lucey
On progressive sharpening, flat minima and generalisation. CoRR (2023)
Sameera Ramasinghe, Hemanth Saratchandran, Violetta Shevchenko, Simon Lucey
On the effectiveness of neural priors in modeling dynamical systems. CoRR (2023)
Sameera Ramasinghe, Simon Lucey
A Learnable Radial Basis Positional Embedding for Coordinate-MLPs. AAAI (2023)
Chaoyang Wang, Lachlan Ewen MacDonald, László A. Jeni, Simon Lucey
Flow supervision for Deformable NeRF. CoRR (2023)
Jianqiao Zheng, Xueqian Li, Sameera Ramasinghe, Simon Lucey
Robust Point Cloud Processing through Positional Embedding. CoRR (2023)
Ming-Fang Chang, Akash Sharma, Michael Kaess, Simon Lucey
Neural Radiance Fields with LiDAR Maps. ICCV (2023)
Chaoyang Wang, Lachlan Ewen MacDonald, László A. Jeni, Simon Lucey
Flow Supervision for Deformable NeRF. CVPR (2023)
Hemanth Saratchandran, Shin-Fang Chng, Sameera Ramasinghe, Lachlan E. MacDonald, Simon Lucey
Curvature-Aware Training for Coordinate Networks. CoRR (2023)
Hemanth Saratchandran, Shin-Fang Chng, Sameera Ramasinghe, Lachlan E. MacDonald, Simon Lucey
Curvature-Aware Training for Coordinate Networks. ICCV (2023)
Calvin Murdock, George Cazenavette, Simon Lucey
Reframing Neural Networks: Deep Structure in Overcomplete Representations. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
Kavisha Vidanapathirana, Shin-Fang Chng, Xueqian Li, Simon Lucey
Multi-Body Neural Scene Flow. CoRR (2023)
Nathaniel Chodosh, Deva Ramanan, Simon Lucey
Re-Evaluating LiDAR Scene Flow for Autonomous Driving. CoRR (2023)
Sameera Ramasinghe, Lachlan Ewen MacDonald, Moshiur R. Farazi, Hemanth Saratchandran, Simon Lucey
How much does Initialization Affect Generalization? ICML (2023)
Lachlan E. MacDonald, Jack Valmadre, Hemanth Saratchandran, Simon Lucey
On skip connections and normalisation layers in deep optimisation. NeurIPS (2023)
Mosam Dabhi, László A. Jeni, Simon Lucey
3D-LFM: Lifting Foundation Model. CoRR (2023)
Shin-Fang Chng, Sameera Ramasinghe, Jamie Sherrah, Simon Lucey
GARF: Gaussian Activated Radiance Fields for High Fidelity Reconstruction and Pose Estimation. CoRR (2022)
Sameera Ramasinghe, Simon Lucey
Beyond Periodicity: Towards a Unifying Framework for Activations in Coordinate-MLPs. ECCV (33) (2022)
Chaoyang Wang, Xueqian Li, Jhony Kaesemodel Pontes, Simon Lucey
Neural Prior for Trajectory Estimation. CVPR (2022)
Jianqiao Zheng, Sameera Ramasinghe, Xueqian Li, Simon Lucey
Trading Positional Complexity vs. Deepness in Coordinate Networks. CoRR (2022)
Jianqiao Zheng, Sameera Ramasinghe, Xueqian Li, Simon Lucey
Trading Positional Complexity vs Deepness in Coordinate Networks. ECCV (27) (2022)
Shin-Fang Chng, Sameera Ramasinghe, Jamie Sherrah, Simon Lucey
Gaussian Activated Neural Radiance Fields for High Fidelity Reconstruction and Pose Estimation. ECCV (33) (2022)
Sameera Ramasinghe, Lachlan E. MacDonald, Simon Lucey
On the Frequency-bias of Coordinate-MLPs. NeurIPS (2022)
Ming-Fang Chang, Yipu Zhao, Rajvi Shah, Jakob J. Engel, Michael Kaess, Simon Lucey
Long-term Visual Map Sparsification with Heterogeneous GNN. CoRR (2022)
Ming-Fang Chang, Yipu Zhao, Rajvi Shah, Jakob J. Engel, Michael Kaess, Simon Lucey
Long-term Visual Map Sparsification with Heterogeneous GNN. CVPR (2022)
Mosam Dabhi, Chaoyang Wang, Tim Clifford, László Attila Jeni, Ian R. Fasel, Simon Lucey
MBW: Multi-view Bootstrapping in the Wild. CoRR (2022)
Sameera Ramasinghe, Lachlan E. MacDonald, Simon Lucey
On Regularizing Coordinate-MLPs. CoRR (2022)
Lachlan Ewen MacDonald, Hemanth Saratchandran, Jack Valmadre, Simon Lucey
A global analysis of global optimisation. CoRR (2022)
Damien Teney, Ehsan Abbasnejad, Simon Lucey, Anton van den Hengel
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization. CVPR (2022)
Lachlan E. MacDonald, Sameera Ramasinghe, Simon Lucey
Enabling Equivariance for Arbitrary Lie Groups. CVPR (2022)
Mosam Dabhi, Chaoyang Wang, Tim Clifford, László A. Jeni, Ian R. Fasel, Simon Lucey
MBW: Multi-view Bootstrapping in the Wild. NeurIPS (2022)
Sameera Ramasinghe, Lachlan E. MacDonald, Moshiur R. Farazi, Hemanth Saratchandran, Simon Lucey
How You Start Matters for Generalization. CoRR (2022)
Cameron Gordon, Shin-Fang Chng, Lachlan E. MacDonald, Simon Lucey
On Quantizing Implicit Neural Representations. CoRR (2022)
George Cazenavette, Simon Lucey
On the Bias Against Inductive Biases. CoRR (2021)
Chaoyang Wang, Ben Eckart, Simon Lucey, Orazio Gallo
Neural Trajectory Fields for Dynamic Novel View Synthesis. CoRR (2021)
Xueqian Li, Jhony Kaesemodel Pontes, Simon Lucey
PointNetLK Revisited. CVPR (2021)
Chaoyang Wang, Simon Lucey
PAUL: Procrustean Autoencoder for Unsupervised Lifting. CVPR (2021)
Chen Kong, Simon Lucey
Deep Non-Rigid Structure From Motion With Missing Data. IEEE Trans. Pattern Anal. Mach. Intell. 43 (12) (2021)
Lachlan E. MacDonald, Sameera Ramasinghe, Simon Lucey
Enabling equivariance for arbitrary Lie groups. CoRR (2021)
Mosam Dabhi, Chaoyang Wang, Kunal Saluja, László A. Jeni, Ian Fasel, Simon Lucey
High Fidelity 3D Reconstructions with Limited Physical Views. CoRR (2021)
Chen-Hsuan Lin, Wei-Chiu Ma, Antonio Torralba, Simon Lucey
BARF: Bundle-Adjusting Neural Radiance Fields. CoRR (2021)
Sameera Ramasinghe, Simon Lucey
Learning Positional Embeddings for Coordinate-MLPs. CoRR (2021)
Xueqian Li, Jhony Kaesemodel Pontes, Simon Lucey
Neural Scene Flow Prior. CoRR (2021)
George Cazenavette, Calvin Murdock, Simon Lucey
Architectural Adversarial Robustness: The Case for Deep Pursuit. CVPR (2021)
Ming-Fang Chang, Wei Dong, Joshua G. Mangelson, Michael Kaess, Simon Lucey
Map Compressibility Assessment for LiDAR Registration. IROS (2021)
Sameera Ramasinghe, Simon Lucey
Beyond Periodicity: Towards a Unifying Framework for Activations in Coordinate-MLPs. CoRR (2021)
Damien Teney, Ehsan Abbasnejad, Simon Lucey, Anton van den Hengel
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization. CoRR (2021)
Mosam Dabhi, Chaoyang Wang, Kunal Saluja, László A. Jeni, Ian Fasel, Simon Lucey
High Fidelity 3D Reconstructions with Limited Physical Views. 3DV (2021)
Calvin Murdock, Simon Lucey
Reframing Neural Networks: Deep Structure in Overcomplete Representations. CoRR (2021)
Chaoyang Wang, Simon Lucey
PAUL: Procrustean Autoencoder for Unsupervised Lifting. CoRR (2021)
Chen-Hsuan Lin, Wei-Chiu Ma, Antonio Torralba, Simon Lucey
BARF: Bundle-Adjusting Neural Radiance Fields. ICCV (2021)
Jianqiao Zheng, Sameera Ramasinghe, Simon Lucey
Rethinking Positional Encoding. CoRR (2021)
Ming-Fang Chang, Joshua G. Mangelson, Michael Kaess, Simon Lucey
HyperMap: Compressed 3D Map for Monocular Camera Registration. ICRA (2021)
Xueqian Li, Jhony Kaesemodel Pontes, Simon Lucey
Neural Scene Flow Prior. NeurIPS (2021)
Chaoyang Wang, Chen-Hsuan Lin, Simon Lucey
Deep NRSfM++: Towards 3D Reconstruction in the Wild. CoRR (2020)
Shubham Agrawal, Anuj Pahuja, Simon Lucey
High Accuracy Face Geometry Capture using a Smartphone Video. WACV (2020)
Jhony Kaesemodel Pontes, James Hays, Simon Lucey
Scene Flow from Point Clouds with or without Learning. 3DV (2020)
Vinit Sarode, Animesh Dhagat, Rangaprasad Arun Srivatsan, Nicolas Zevallos, Simon Lucey, Howie Choset
MaskNet: A Fully-Convolutional Network to Estimate Inlier Points. 3DV (2020)
Jhony Kaesemodel Pontes, James Hays, Simon Lucey
Scene Flow from Point Clouds with or without Learning. CoRR (2020)
George Cazenavette, Calvin Murdock, Simon Lucey
Architectural Adversarial Robustness: The Case for Deep Pursuit. CoRR (2020)
Xueqian Li, Jhony Kaesemodel Pontes, Simon Lucey
Deterministic PointNetLK for Generalized Registration. CoRR (2020)
Vinit Sarode, Animesh Dhagat, Rangaprasad Arun Srivatsan, Nicolas Zevallos, Simon Lucey, Howie Choset
MaskNet: A Fully-Convolutional Network to Estimate Inlier Points. CoRR (2020)
Nathaniel Chodosh, Simon Lucey
When to Use Convolutional Neural Networks for Inverse Problems. CoRR (2020)
Calvin Murdock, Simon Lucey
Dataless Model Selection With the Deep Frame Potential. CVPR (2020)
Hunter Goforth, Xiaoyan Hu, Michael Happold, Simon Lucey
Joint Pose and Shape Estimation of Vehicles from LiDAR Data. CoRR (2020)
Calvin Murdock, Simon Lucey
Dataless Model Selection with the Deep Frame Potential. CoRR (2020)
Chen-Hsuan Lin, Chaoyang Wang, Simon Lucey
SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images. NeurIPS (2020)
Chaoyang Wang, Chen-Hsuan Lin, Simon Lucey
Deep NRSfM++: Towards Unsupervised 2D-3D Lifting in the Wild. 3DV (2020)
Nathaniel Chodosh, Simon Lucey
When to Use Convolutional Neural Networks for Inverse Problems. CVPR (2020)
Chen-Hsuan Lin, Chaoyang Wang, Simon Lucey
SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images. CoRR (2020)
Shubham Agrawal, Anuj Pahuja, Simon Lucey
High Accuracy Face Geometry Capture using a Smartphone Video. CoRR (2020)
Chaoyang Wang, Simon Lucey, Federico Perazzi, Oliver Wang
Web Stereo Video Supervision for Depth Prediction from Dynamic Scenes. 3DV (2019)
Chaoyang Wang, Chen Kong, Simon Lucey
Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning. CoRR (2019)
Chaoyang Wang, Chen Kong, Simon Lucey
Distill Knowledge From NRSfM for Weakly Supervised 3D Pose Learning. ICCV (2019)
Chen-Hsuan Lin, Oliver Wang, Bryan C. Russell, Eli Shechtman, Vladimir G. Kim, Matthew Fisher, Simon Lucey
Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction. CVPR (2019)
Vinit Sarode, Xueqian Li, Hunter Goforth, Yasuhiro Aoki, Animesh Dhagat, Rangaprasad Arun Srivatsan, Simon Lucey, Howie Choset
One Framework to Register Them All: PointNet Encoding for Point Cloud Alignment. CoRR (2019)
Tejas Khot, Shubham Agrawal, Shubham Tulsiani, Christoph Mertz, Simon Lucey, Martial Hebert
Learning Unsupervised Multi-View Stereopsis via Robust Photometric Consistency. CoRR (2019)
Vinit Sarode, Xueqian Li, Hunter Goforth, Yasuhiro Aoki, Rangaprasad Arun Srivatsan, Simon Lucey, Howie Choset
PCRNet: Point Cloud Registration Network using PointNet Encoding. CoRR (2019)
Hunter Goforth, Simon Lucey
GPS-Denied UAV Localization using Pre-existing Satellite Imagery. ICRA (2019)
Chen Kong, Simon Lucey
Deep Non-Rigid Structure from Motion. CoRR (2019)
Chen-Hsuan Lin, Oliver Wang, Bryan C. Russell, Eli Shechtman, Vladimir G. Kim, Matthew Fisher, Simon Lucey
Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction. CoRR (2019)
Chen Kong, Simon Lucey
Deep Non-Rigid Structure from Motion. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Simon Lucey