Finding Correspondences for Optical Flow and Disparity Estimations using a Sub-pixel Convolution-based Encoder-Decoder Network. - Juan Luis Gonzalez 001; Muhammad Sarmad; Hyunjoo Jenny Lee; Munchurl Kim (CoRR, 2018)

A HVS-Inspired Attention to Improve Loss Metrics for CNN-Based Perception-Oriented Super-Resolution. - Taimoor Tariq; Juan Luis Gonzalez Bello; Munchurl Kim (ICCV Workshops, 2019)

A Novel Monocular Disparity Estimation Network with Domain Transformation and Ambiguity Learning. - Juan Luis Gonzalez Bello; Munchurl Kim (ICIP, 2019)

A HVS-inspired Attention Map to Improve CNN-based Perceptual Losses for Image Restoration. - Taimoor Tariq; Juan Luis Gonzalez 001; Munchurl Kim (CoRR, 2019)

Deep 3D-Zoom Net: Unsupervised Learning of Photo-Realistic 3D-Zoom. - Juan Luis Gonzalez Bello; Munchurl Kim (CoRR, 2019)

Deep 3D Pan via adaptive "t-shaped" convolutions with global and local adaptive dilations. - Juan Luis Gonzalez Bello; Munchurl Kim (CoRR, 2019)

Pan-Sharpening With Color-Aware Perceptual Loss And Guided Re-Colorization. - Juan Luis Gonzalez Bello; Soomin Seo; Munchurl Kim (ICIP, 2020)

Deep 3D Pan via local adaptive "t-shaped" convolutions with global and local adaptive dilations. - Juan Luis Gonzalez Bello; Munchurl Kim (ICLR, 2020)

Forget About the LiDAR: Self-Supervised Depth Estimators with MED Probability Volumes. - Juan Luis Gonzalez Bello; Munchurl Kim (NeurIPS, 2020)

PLADE-Net: Towards Pixel-Level Accuracy for Self-Supervised Single-View Depth Estimation With Neural Positional Encoding and Distilled Matting Loss. - Juan Luis Gonzalez 001; Munchurl Kim (CVPR, 2021)

Exploiting Global and Local Attentions for Heavy Rain Removal on Single Images. - Dac Tung Vu; Juan Luis Gonzalez 001; Munchurl Kim (CoRR, 2021)

Positional Information is All You Need: A Novel Pipeline for Self-Supervised SVDE from Videos. - Juan Luis Gonzalez Bello; Jaeho Moon; Munchurl Kim (CoRR, 2022)

Self-Supervised Deep Monocular Depth Estimation With Ambiguity Boosting. - Juan Luis Gonzalez Bello; Munchurl Kim (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Detail-Preserving Self-Supervised Monocular Depth with Self-Supervised Structural Sharpening. - Juan Luis Gonzalez Bello; Jaeho Moon; Munchurl Kim (CVPR Workshops, 2023)

Optical-Flow-Aided Self-Supervised Single View Depth Estimation from Monocular Videos. - Juan Luis Gonzalez Bello; Munchurl Kim (VCIP, 2023)

Novel View Synthesis with View-Dependent Effects from a Single Image. - Juan Luis Gonzalez Bello; Munchurl Kim (CVPR, 2024)

From-Ground-To-Objects: Coarse-to-Fine Self-supervised Monocular Depth Estimation of Dynamic Objects with Ground Contact Prior. - Jaeho Moon; Juan Luis Gonzalez Bello; Byeongjun Kwon; Munchurl Kim (CVPR, 2024)

ProNeRF: Learning Efficient Projection-Aware Ray Sampling for Fine-Grained Implicit Neural Radiance Fields. - Juan Luis Gonzalez Bello; Minh-Quan Viet Bui; Munchurl Kim (IEEE Access, 2024)

Self-Supervised Monocular Depth Estimation With Positional Shift Depth Variance and Adaptive Disparity Quantization. - Juan Luis Gonzalez Bello; Jaeho Moon; Munchurl Kim (IEEE Trans. Image Process., 2024)

VideoSPatS: Video SPatiotemporal Splines for Disentangled Occlusion, Appearance and Motion Modeling and Editing. - Juan Luis Gonzalez 001; Xu Yao; Alex Whelan; Kyle Olszewski; Hyeongwoo Kim; Pablo Garrido 001 (CVPR, 2025)

SplineGS: Robust Motion-Adaptive Spline for Real-Time Dynamic 3D Gaussians from Monocular Video. - Jongmin Park 001; Minh-Quan Viet Bui; Juan Luis Gonzalez Bello; Jaeho Moon; Jihyong Oh; Munchurl Kim (CVPR, 2025)

EcoSplat: Efficiency-controllable Feed-forward 3D Gaussian Splatting from Multi-view Images. - Jongmin Park 001; Minh-Quan Viet Bui; Juan Luis Gonzalez Bello; Jaeho Moon; Jihyong Oh; Munchurl Kim (CoRR, 2025)

MoBGS: Motion Deblurring Dynamic 3D Gaussian Splatting for Blurry Monocular Video. - Minh-Quan Viet Bui; Jongmin Park 001; Juan Luis Gonzalez 001; Jaeho Moon; Jihyong Oh; Munchurl Kim (AAAI, 2026)

Zero-Shot Video Deraining with Video Diffusion Models. - Tuomas Varanka; Juan Luis Gonzalez 001; Hyeongwoo Kim; Pablo Garrido 001; Xu Yao (WACV, 2026)