Juan Luis Gonzalez
Orcid: 0000-0003-3963-4433Affiliations:
- Flawless AI
- Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea (PhD 2023)
According to our database1,
Juan Luis Gonzalez authored at least 24 papers
between 2018 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
EcoSplat: Efficiency-controllable Feed-forward 3D Gaussian Splatting from Multi-view Images.
CoRR, December, 2025
SplineGS: Robust Motion-Adaptive Spline for Real-Time Dynamic 3D Gaussians from Monocular Video.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
VideoSPatS: Video SPatiotemporal Splines for Disentangled Occlusion, Appearance and Motion Modeling and Editing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
2024
Self-Supervised Monocular Depth Estimation With Positional Shift Depth Variance and Adaptive Disparity Quantization.
IEEE Trans. Image Process., 2024
ProNeRF: Learning Efficient Projection-Aware Ray Sampling for Fine-Grained Implicit Neural Radiance Fields.
IEEE Access, 2024
From-Ground-To-Objects: Coarse-to-Fine Self-supervised Monocular Depth Estimation of Dynamic Objects with Ground Contact Prior.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
Optical-Flow-Aided Self-Supervised Single View Depth Estimation from Monocular Videos.
Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2023
Detail-Preserving Self-Supervised Monocular Depth with Self-Supervised Structural Sharpening.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Positional Information is All You Need: A Novel Pipeline for Self-Supervised SVDE from Videos.
CoRR, 2022
2021
CoRR, 2021
PLADE-Net: Towards Pixel-Level Accuracy for Self-Supervised Single-View Depth Estimation With Neural Positional Encoding and Distilled Matting Loss.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
Forget About the LiDAR: Self-Supervised Depth Estimators with MED Probability Volumes.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Deep 3D Pan via local adaptive "t-shaped" convolutions with global and local adaptive dilations.
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the IEEE International Conference on Image Processing, 2020
2019
Deep 3D Pan via adaptive "t-shaped" convolutions with global and local adaptive dilations.
CoRR, 2019
A HVS-inspired Attention Map to Improve CNN-based Perceptual Losses for Image Restoration.
CoRR, 2019
A Novel Monocular Disparity Estimation Network with Domain Transformation and Ambiguity Learning.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
A HVS-Inspired Attention to Improve Loss Metrics for CNN-Based Perception-Oriented Super-Resolution.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019
2018
Finding Correspondences for Optical Flow and Disparity Estimations using a Sub-pixel Convolution-based Encoder-Decoder Network.
CoRR, 2018