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2020 – today
- 2024
[c148]Kavisha Vidanapathirana, Shin-Fang Ch'ng, Xueqian Li, Simon Lucey:
Multi-Body Neural Scene Flow. 3DV 2024: 126-136- [c147]Jianqiao Zheng, Xueqian Li, Sameera Ramasinghe, Simon Lucey:
Robust Point Cloud Processing Through Positional Embedding. 3DV 2024: 1403-1412 - [c146]Ravi Garg
, Shin-Fang Ch'ng, Simon Lucey:
Direct Alignment for Robust NeRF Learning. ACCV (9) 2024: 88-104 - [c145]Cameron Gordon, Lachlan E. MacDonald, Hemanth Saratchandran, Simon Lucey:
D'OH: Decoder-Only Random Hypernetworks for Implicit Neural Representations. ACCV (7) 2024: 128-147 - [c144]Hemanth Saratchandran, Sameera Ramasinghe, Simon Lucey:
From Activation to Initialization: Scaling Insights for Optimizing Neural Fields. CVPR 2024: 413-422 - [c143]Mosam Dabhi, László A. Jeni, Simon Lucey:
3D-LFM: Lifting Foundation Model. CVPR 2024: 10466-10475 - [c142]Jenny Seidenschwarz, Aljosa Osep, Francesco Ferroni, Simon Lucey, Laura Leal-Taixé:
SeMoLi: What Moves Together Belongs Together. CVPR 2024: 14685-14694 - [c141]Hemanth Saratchandran, Thomas X. Wang, Simon Lucey:
Weight Conditioning for Smooth Optimization of Neural Networks. ECCV (85) 2024: 310-325 - [c140]Shin-Fang Ch'ng, Ravi Garg, Hemanth Saratchandran, Simon Lucey:
Invertible Neural Warp for NeRF. ECCV (17) 2024: 405-421 - [c139]Hemanth Saratchandran, Sameera Ramasinghe, Violetta Shevchenko, Alexander Long, Simon Lucey:
A sampling theory perspective on activations for implicit neural representations. ICML 2024 - [c138]Nathaniel Chodosh, Deva Ramanan, Simon Lucey:
Re-Evaluating LiDAR Scene Flow. WACV 2024: 5993-6003 - [i99]Jianqiao Zheng, Xueqian Li, Simon Lucey:
Convolutional Initialization for Data-Efficient Vision Transformers. CoRR abs/2401.12511 (2024) - [i98]Hemanth Saratchandran, Shin-Fang Ch'ng, Simon Lucey:
Architectural Strategies for the optimization of Physics-Informed Neural Networks. CoRR abs/2402.02711 (2024) - [i97]Hemanth Saratchandran, Shin-Fang Ch'ng, Simon Lucey:
Analyzing the Neural Tangent Kernel of Periodically Activated Coordinate Networks. CoRR abs/2402.04783 (2024) - [i96]Hemanth Saratchandran, Sameera Ramasinghe, Violetta Shevchenko, Alexander Long, Simon Lucey:
A Sampling Theory Perspective on Activations for Implicit Neural Representations. CoRR abs/2402.05427 (2024) - [i95]Shin-Fang Ch'ng, Hemanth Saratchandran, Simon Lucey:
Preconditioners for the Stochastic Training of Implicit Neural Representations. CoRR abs/2402.08784 (2024) - [i94]Jenny Seidenschwarz, Aljosa Osep, Francesco Ferroni, Simon Lucey, Laura Leal-Taixé:
SeMoLi: What Moves Together Belongs Together. CoRR abs/2402.19463 (2024) - [i93]Xueqian Li, Simon Lucey:
Fast Kernel Scene Flow. CoRR abs/2403.05896 (2024) - [i92]Cameron Gordon, Lachlan Ewen MacDonald, Hemanth Saratchandran, Simon Lucey:
D'OH: Decoder-Only random Hypernetworks for Implicit Neural Representations. CoRR abs/2403.19163 (2024) - [i91]Hemanth Saratchandran, Sameera Ramasinghe, Simon Lucey:
From Activation to Initialization: Scaling Insights for Optimizing Neural Fields. CoRR abs/2403.19205 (2024) - [i90]Yiping Ji, Hemanth Saratchandran, Cameron Gordon, Zeyu Zhang, Simon Lucey:
Sine Activated Low-Rank Matrices for Parameter Efficient Learning. CoRR abs/2403.19243 (2024) - [i89]Jianqiao Zheng, Xueqian Li, Simon Lucey:
Structured Initialization for Attention in Vision Transformers. CoRR abs/2404.01139 (2024) - [i88]Nathaniel Chodosh, Anish Madan, Deva Ramanan, Simon Lucey:
Simultaneous Map and Object Reconstruction. CoRR abs/2406.13896 (2024) - [i87]Shin-Fang Ch'ng, Ravi Garg, Hemanth Saratchandran, Simon Lucey:
Invertible Neural Warp for NeRF. CoRR abs/2407.12354 (2024) - [i86]Hemanth Saratchandran, Thomas X. Wang, Simon Lucey:
Weight Conditioning for Smooth Optimization of Neural Networks. CoRR abs/2409.03424 (2024) - [i85]Hemanth Saratchandran, Jianqiao Zheng, Yiping Ji, Wenbo Zhang, Simon Lucey:
Rethinking Softmax: Self-Attention with Polynomial Activations. CoRR abs/2410.18613 (2024) - [i84]Christopher Fusco, Mosam Dabhi, Shin-Fang Ch'ng, Simon Lucey:
Object Agnostic 3D Lifting in Space and Time. CoRR abs/2412.01166 (2024) - 2023
- [j22]Calvin Murdock, George Cazenavette, Simon Lucey:
Reframing Neural Networks: Deep Structure in Overcomplete Representations. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 964-979 (2023) - [c137]Sameera Ramasinghe, Simon Lucey:
A Learnable Radial Basis Positional Embedding for Coordinate-MLPs. AAAI 2023: 2137-2145 - [c136]Chaoyang Wang, Lachlan Ewen MacDonald, László A. Jeni, Simon Lucey:
Flow Supervision for Deformable NeRF. CVPR 2023: 21128-21137 - [c135]Xueqian Li, Jianqiao Zheng, Francesco Ferroni, Jhony Kaesemodel Pontes, Simon Lucey:
Fast Neural Scene Flow. ICCV 2023: 9844-9856 - [c134]Hemanth Saratchandran, Shin-Fang Ch'ng, Sameera Ramasinghe, Lachlan E. MacDonald, Simon Lucey:
Curvature-Aware Training for Coordinate Networks. ICCV 2023: 13282-13292 - [c133]Ming-Fang Chang, Akash Sharma, Michael Kaess, Simon Lucey:
Neural Radiance Fields with LiDAR Maps. ICCV 2023: 17868-17877 - [c132]Sameera Ramasinghe, Lachlan Ewen MacDonald, Moshiur R. Farazi, Hemanth Saratchandran, Simon Lucey:
How much does Initialization Affect Generalization? ICML 2023: 28637-28655 - [c131]Lachlan E. MacDonald, Jack Valmadre, Hemanth Saratchandran, Simon Lucey:
On skip connections and normalisation layers in deep optimisation. NeurIPS 2023 - [c130]Cameron Gordon, Shin-Fang Ch'ng, Lachlan E. MacDonald, Simon Lucey:
On Quantizing Implicit Neural Representations. WACV 2023: 341-350 - [i83]Sameera Ramasinghe, Hemanth Saratchandran, Violetta Shevchenko, Simon Lucey:
On the effectiveness of neural priors in modeling dynamical systems. CoRR abs/2303.05728 (2023) - [i82]Chaoyang Wang, Lachlan Ewen MacDonald, László A. Jeni, Simon Lucey:
Flow supervision for Deformable NeRF. CoRR abs/2303.16333 (2023) - [i81]Nathaniel Chodosh, Deva Ramanan, Simon Lucey:
Re-Evaluating LiDAR Scene Flow for Autonomous Driving. CoRR abs/2304.02150 (2023) - [i80]Xueqian Li, Jianqiao Zheng, Francesco Ferroni, Jhony Kaesemodel Pontes, Simon Lucey:
Fast Neural Scene Flow. CoRR abs/2304.09121 (2023) - [i79]Hemanth Saratchandran, Shin-Fang Ch'ng, Sameera Ramasinghe, Lachlan E. MacDonald, Simon Lucey:
Curvature-Aware Training for Coordinate Networks. CoRR abs/2305.08552 (2023) - [i78]Lachlan Ewen MacDonald, Jack Valmadre, Simon Lucey:
On progressive sharpening, flat minima and generalisation. CoRR abs/2305.14683 (2023) - [i77]Jianqiao Zheng, Xueqian Li, Sameera Ramasinghe, Simon Lucey:
Robust Point Cloud Processing through Positional Embedding. CoRR abs/2309.00339 (2023) - [i76]Kavisha Vidanapathirana, Shin-Fang Ch'ng, Xueqian Li, Simon Lucey:
Multi-Body Neural Scene Flow. CoRR abs/2310.10301 (2023) - [i75]Mosam Dabhi, László A. Jeni, Simon Lucey:
3D-LFM: Lifting Foundation Model. CoRR abs/2312.11894 (2023) - 2022
- [c129]Ming-Fang Chang, Yipu Zhao, Rajvi Shah, Jakob J. Engel, Michael Kaess, Simon Lucey:
Long-term Visual Map Sparsification with Heterogeneous GNN. CVPR 2022: 2396-2405 - [c128]Chaoyang Wang, Xueqian Li, Jhony Kaesemodel Pontes, Simon Lucey:
Neural Prior for Trajectory Estimation. CVPR 2022: 6522-6532 - [c127]Lachlan E. MacDonald, Sameera Ramasinghe, Simon Lucey:
Enabling Equivariance for Arbitrary Lie Groups. CVPR 2022: 8173-8182 - [c126]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: 16740-16751 - [c125]Sameera Ramasinghe, Simon Lucey:
Beyond Periodicity: Towards a Unifying Framework for Activations in Coordinate-MLPs. ECCV (33) 2022: 142-158 - [c124]Jianqiao Zheng, Sameera Ramasinghe, Xueqian Li, Simon Lucey:
Trading Positional Complexity vs Deepness in Coordinate Networks. ECCV (27) 2022: 144-160 - [c123]Shin-Fang Ch'ng, Sameera Ramasinghe, Jamie Sherrah, Simon Lucey:
Gaussian Activated Neural Radiance Fields for High Fidelity Reconstruction and Pose Estimation. ECCV (33) 2022: 264-280 - [c122]Mosam Dabhi, Chaoyang Wang, Tim Clifford, László A. Jeni, Ian R. Fasel, Simon Lucey:
MBW: Multi-view Bootstrapping in the Wild. NeurIPS 2022 - [c121]Sameera Ramasinghe, Lachlan E. MacDonald, Simon Lucey:
On the Frequency-bias of Coordinate-MLPs. NeurIPS 2022 - [i74]Sameera Ramasinghe, Lachlan E. MacDonald, Simon Lucey:
On Regularizing Coordinate-MLPs. CoRR abs/2202.00790 (2022) - [i73]Ming-Fang Chang, Yipu Zhao, Rajvi Shah, Jakob J. Engel, Michael Kaess, Simon Lucey:
Long-term Visual Map Sparsification with Heterogeneous GNN. CoRR abs/2203.15182 (2022) - [i72]Shin-Fang Ch'ng, Sameera Ramasinghe, Jamie Sherrah, Simon Lucey:
GARF: Gaussian Activated Radiance Fields for High Fidelity Reconstruction and Pose Estimation. CoRR abs/2204.05735 (2022) - [i71]Jianqiao Zheng, Sameera Ramasinghe, Xueqian Li, Simon Lucey:
Trading Positional Complexity vs. Deepness in Coordinate Networks. CoRR abs/2205.08987 (2022) - [i70]Sameera Ramasinghe, Lachlan E. MacDonald, Moshiur R. Farazi, Hemanth Saratchandran, Simon Lucey:
How You Start Matters for Generalization. CoRR abs/2206.08558 (2022) - [i69]Cameron Gordon, Shin-Fang Ch'ng, Lachlan E. MacDonald, Simon Lucey:
On Quantizing Implicit Neural Representations. CoRR abs/2209.01019 (2022) - [i68]Mosam Dabhi, Chaoyang Wang, Tim Clifford, László Attila Jeni, Ian R. Fasel, Simon Lucey:
MBW: Multi-view Bootstrapping in the Wild. CoRR abs/2210.01721 (2022) - [i67]Lachlan Ewen MacDonald, Hemanth Saratchandran, Jack Valmadre, Simon Lucey:
A global analysis of global optimisation. CoRR abs/2210.05371 (2022) - 2021
- [j21]Chen Kong, Simon Lucey:
Deep Non-Rigid Structure From Motion With Missing Data. IEEE Trans. Pattern Anal. Mach. Intell. 43(12): 4365-4377 (2021) - [c120]Mosam Dabhi, Chaoyang Wang, Kunal Saluja, László A. Jeni, Ian R. Fasel, Simon Lucey:
High Fidelity 3D Reconstructions with Limited Physical Views. 3DV 2021: 1301-1311 - [c119]Chaoyang Wang, Simon Lucey:
PAUL: Procrustean Autoencoder for Unsupervised Lifting. CVPR 2021: 434-443 - [c118]George Cazenavette, Calvin Murdock, Simon Lucey:
Architectural Adversarial Robustness: The Case for Deep Pursuit. CVPR 2021: 7150-7158 - [c117]Xueqian Li, Jhony Kaesemodel Pontes, Simon Lucey:
PointNetLK Revisited. CVPR 2021: 12763-12772 - [c116]Chen-Hsuan Lin, Wei-Chiu Ma, Antonio Torralba, Simon Lucey:
BARF: Bundle-Adjusting Neural Radiance Fields. ICCV 2021: 5721-5731 - [c115]Ming-Fang Chang, Joshua G. Mangelson, Michael Kaess, Simon Lucey:
HyperMap: Compressed 3D Map for Monocular Camera Registration. ICRA 2021: 11739-11745 - [c114]Ming-Fang Chang, Wei Dong, Joshua G. Mangelson, Michael Kaess, Simon Lucey:
Map Compressibility Assessment for LiDAR Registration. IROS 2021: 5560-5567 - [c113]Xueqian Li, Jhony Kaesemodel Pontes, Simon Lucey:
Neural Scene Flow Prior. NeurIPS 2021: 7838-7851 - [i66]Calvin Murdock, Simon Lucey:
Reframing Neural Networks: Deep Structure in Overcomplete Representations. CoRR abs/2103.05804 (2021) - [i65]Chaoyang Wang, Simon Lucey:
PAUL: Procrustean Autoencoder for Unsupervised Lifting. CoRR abs/2103.16773 (2021) - [i64]Chen-Hsuan Lin, Wei-Chiu Ma, Antonio Torralba, Simon Lucey:
BARF: Bundle-Adjusting Neural Radiance Fields. CoRR abs/2104.06405 (2021) - [i63]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 abs/2105.05612 (2021) - [i62]Chaoyang Wang, Ben Eckart, Simon Lucey, Orazio Gallo:
Neural Trajectory Fields for Dynamic Novel View Synthesis. CoRR abs/2105.05994 (2021) - [i61]George Cazenavette, Simon Lucey:
On the Bias Against Inductive Biases. CoRR abs/2105.14077 (2021) - [i60]Jianqiao Zheng, Sameera Ramasinghe, Simon Lucey:
Rethinking Positional Encoding. CoRR abs/2107.02561 (2021) - [i59]Mosam Dabhi, Chaoyang Wang, Kunal Saluja, László A. Jeni, Ian R. Fasel, Simon Lucey:
High Fidelity 3D Reconstructions with Limited Physical Views. CoRR abs/2110.11599 (2021) - [i58]Xueqian Li, Jhony Kaesemodel Pontes, Simon Lucey:
Neural Scene Flow Prior. CoRR abs/2111.01253 (2021) - [i57]Lachlan E. MacDonald, Sameera Ramasinghe, Simon Lucey:
Enabling equivariance for arbitrary Lie groups. CoRR abs/2111.08251 (2021) - [i56]Sameera Ramasinghe, Simon Lucey:
Beyond Periodicity: Towards a Unifying Framework for Activations in Coordinate-MLPs. CoRR abs/2111.15135 (2021) - [i55]Sameera Ramasinghe, Simon Lucey:
Learning Positional Embeddings for Coordinate-MLPs. CoRR abs/2112.11577 (2021) - 2020
- [c112]Chaoyang Wang, Chen-Hsuan Lin, Simon Lucey:
Deep NRSfM++: Towards Unsupervised 2D-3D Lifting in the Wild. 3DV 2020: 12-22 - [c111]Jhony Kaesemodel Pontes, James Hays, Simon Lucey:
Scene Flow from Point Clouds with or without Learning. 3DV 2020: 261-270 - [c110]Vinit Sarode, Animesh Dhagat, Rangaprasad Arun Srivatsan, Nicolas Zevallos, Simon Lucey, Howie Choset:
MaskNet: A Fully-Convolutional Network to Estimate Inlier Points. 3DV 2020: 1029-1038 - [c109]Nathaniel Chodosh, Simon Lucey:
When to Use Convolutional Neural Networks for Inverse Problems. CVPR 2020: 8223-8232 - [c108]Calvin Murdock, Simon Lucey:
Dataless Model Selection With the Deep Frame Potential. CVPR 2020: 11254-11262 - [c107]Chen-Hsuan Lin, Chaoyang Wang, Simon Lucey:
SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images. NeurIPS 2020 - [c106]Shubham Agrawal, Anuj Pahuja, Simon Lucey:
High Accuracy Face Geometry Capture using a Smartphone Video. WACV 2020: 81-90 - [i54]Chaoyang Wang, Chen-Hsuan Lin, Simon Lucey:
Deep NRSfM++: Towards 3D Reconstruction in the Wild. CoRR abs/2001.10090 (2020) - [i53]Shubham Agrawal, Anuj Pahuja, Simon Lucey:
High Accuracy Face Geometry Capture using a Smartphone Video. CoRR abs/2003.08583 (2020) - [i52]Nathaniel Chodosh, Simon Lucey:
When to Use Convolutional Neural Networks for Inverse Problems. CoRR abs/2003.13820 (2020) - [i51]Calvin Murdock, Simon Lucey:
Dataless Model Selection with the Deep Frame Potential. CoRR abs/2003.13866 (2020) - [i50]Xueqian Li, Jhony Kaesemodel Pontes, Simon Lucey:
Deterministic PointNetLK for Generalized Registration. CoRR abs/2008.09527 (2020) - [i49]Hunter Goforth, Xiaoyan Hu, Michael Happold, Simon Lucey:
Joint Pose and Shape Estimation of Vehicles from LiDAR Data. CoRR abs/2009.03964 (2020) - [i48]Vinit Sarode, Animesh Dhagat, Rangaprasad Arun Srivatsan, Nicolas Zevallos, Simon Lucey, Howie Choset:
MaskNet: A Fully-Convolutional Network to Estimate Inlier Points. CoRR abs/2010.09185 (2020) - [i47]Chen-Hsuan Lin, Chaoyang Wang, Simon Lucey:
SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images. CoRR abs/2010.10505 (2020) - [i46]Jhony Kaesemodel Pontes, James Hays, Simon Lucey:
Scene Flow from Point Clouds with or without Learning. CoRR abs/2011.00320 (2020) - [i45]George Cazenavette, Calvin Murdock, Simon Lucey:
Architectural Adversarial Robustness: The Case for Deep Pursuit. CoRR abs/2011.14427 (2020)
2010 – 2019
- 2019
- [c105]Chaoyang Wang, Simon Lucey, Federico Perazzi, Oliver Wang:
Web Stereo Video Supervision for Depth Prediction from Dynamic Scenes. 3DV 2019: 348-357 - [c104]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: 969-978 - [c103]Yasuhiro Aoki, Hunter Goforth, Rangaprasad Arun Srivatsan, Simon Lucey:
PointNetLK: Robust & Efficient Point Cloud Registration Using PointNet. CVPR 2019: 7163-7172 - [c102]Ming-Fang Chang, John Lambert, Patsorn Sangkloy, Jagjeet Singh, Slawomir Bak, Andrew Hartnett, De Wang, Peter Carr, Simon Lucey, Deva Ramanan, James Hays:
Argoverse: 3D Tracking and Forecasting With Rich Maps. CVPR 2019: 8748-8757 - [c101]Chaoyang Wang, Chen Kong, Simon Lucey:
Distill Knowledge From NRSfM for Weakly Supervised 3D Pose Learning. ICCV 2019: 743-752 - [c100]Chen Kong, Simon Lucey:
Deep Non-Rigid Structure From Motion. ICCV 2019: 1558-1567 - [c99]Anuj Pahuja, Simon Lucey:
Lossy GIF Compression Using Deep Intrinsic Parameterization. ICCV Workshops 2019: 4581-4583 - [c98]Hunter Goforth, Simon Lucey:
GPS-Denied UAV Localization using Pre-existing Satellite Imagery. ICRA 2019: 2974-2980 - [i44]Chen Kong, Simon Lucey:
Deep Interpretable Non-Rigid Structure from Motion. CoRR abs/1902.10840 (2019) - [i43]Yasuhiro Aoki, Hunter Goforth, Rangaprasad Arun Srivatsan, Simon Lucey:
PointNetLK: Robust & Efficient Point Cloud Registration using PointNet. CoRR abs/1903.05711 (2019) - [i42]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 abs/1903.08642 (2019) - [i41]Chaoyang Wang, Simon Lucey, Federico Perazzi, Oliver Wang:
Web Stereo Video Supervision for Depth Prediction from Dynamic Scenes. CoRR abs/1904.11112 (2019) - [i40]Tejas Khot, Shubham Agrawal, Shubham Tulsiani, Christoph Mertz, Simon Lucey, Martial Hebert:
Learning Unsupervised Multi-View Stereopsis via Robust Photometric Consistency. CoRR abs/1905.02706 (2019) - [i39]Chen Kong, Simon Lucey:
Deep Non-Rigid Structure from Motion. CoRR abs/1907.13123 (2019) - [i38]Chen Kong, Simon Lucey:
Deep Non-Rigid Structure from Motion. CoRR abs/1908.00052 (2019) - [i37]Chaoyang Wang, Chen Kong, Simon Lucey:
Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning. CoRR abs/1908.06377 (2019) - [i36]Vinit Sarode, Xueqian Li, Hunter Goforth, Yasuhiro Aoki, Rangaprasad Arun Srivatsan, Simon Lucey, Howie Choset:
PCRNet: Point Cloud Registration Network using PointNet Encoding. CoRR abs/1908.07906 (2019) - [i35]Ming-Fang Chang, John Lambert, Patsorn Sangkloy, Jagjeet Singh, Slawomir Bak, Andrew Hartnett, De Wang, Peter Carr, Simon Lucey, Deva Ramanan, James Hays:
Argoverse: 3D Tracking and Forecasting with Rich Maps. CoRR abs/1911.02620 (2019) - [i34]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 abs/1912.05766 (2019) - 2018
- [c97]Chen-Hsuan Lin, Chen Kong, Simon Lucey:
Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction. AAAI 2018: 7114-7121 - [c96]Jhony K. Pontes, Chen Kong, Sridha Sridharan, Simon Lucey, Anders P. Eriksson, Clinton Fookes:
Image2Mesh: A Learning Framework for Single Image 3D Reconstruction. ACCV (1) 2018: 365-381 - [c95]Nathaniel Chodosh, Chaoyang Wang, Simon Lucey:
Deep Convolutional Compressed Sensing for LiDAR Depth Completion. ACCV (1) 2018: 499-513 - [c94]Chaoyang Wang, José Miguel Buenaposada, Rui Zhu, Simon Lucey:
Learning Depth From Monocular Videos Using Direct Methods. CVPR 2018: 2022-2030 - [c93]