Prototype-Guided Attention Distillation for Discriminative Person Search

par Kim, Hanjae
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2025)

Stereo Confidence Estimation via Locally Adaptive Fusion and Knowledge Distillation

par Kim, Sunok
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2023)

Pyramidal Semantic Correspondence Networks

par Jeon, Sangryul
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2022)

Memory-Guided Image De-Raining Using Time-Lapse Data

par Cho, Jaehoon
Publié dans: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society (2022)

On the Confidence of Stereo Matching in a Deep-Learning Era A Quantitative Evaluation

par Poggi, Matteo
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2022)

Multi-Task Learning Framework for Motion Estimation and Dynamic Scene Deblurring

par Jung, Hyungjoo
Publié dans: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society (2021)

Dense Cross-Modal Correspondence Estimation With the Deep Self-Correlation Descriptor

par Kim, Seungryong
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2021)

Unsupervised Deep Image Fusion with Structure Tensor Representations

par Jung, Hyungjoo
Publié dans: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society (2020)

Discrete-Continuous Transformation Matching for Dense Semantic Correspondence

par Kim, Seungryong
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2020)

Learning to Find Unpaired Cross-Spectral Correspondences

par Jeong, Somi
Publié dans: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society (2019)

FCSS Fully Convolutional Self-Similarity for Dense Semantic Correspondence

par Kim, Seungryong
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2019)

Unified Confidence Estimation Networks for Robust Stereo Matching

par Kim, Sunok
Publié dans: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society (2019)

Deep Monocular Depth Estimation via Integration of Global and Local Predictions

par Kim, Youngjung
Publié dans: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society (2018)

Structure-Texture Image Decomposition using Deep Variational Priors

par Kim, Youngjung
Publié dans: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society (2018)

DASC Robust Dense Descriptor for Multi-Modal and Multi-Spectral Correspondence Estimation

par Kim, Seungryong
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2017)

Structure Selective Depth Superresolution for RGB-D Cameras

par Kim, Youngjung
Publié dans: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society (2016)

Unsupervised Texture Flow Estimation Using Appearance-Space Clustering and Correspondence

par Choi, Sunghwan
Publié dans: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society (2015)

Depth superresolution by transduction

par Ham, Bumsub
Publié dans: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society (2015)

Depth Analogy Data-Driven Approach for Single Image Depth Estimation Using Gradient Samples

par Choi, Sunghwan
Publié dans: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society (2015)

Fast global image smoothing based on weighted least squares

par Min, Dongbo
Publié dans: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society (2014)