Seungryong Kim

Orcid: 0000-0003-2927-6273

According to our database1, Seungryong Kim authored at least 147 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
InstaFormer++: Multi-Domain Instance-Aware Image-to-Image Translation with Transformer.
Int. J. Comput. Vis., April, 2024

Controllable Style Transfer via Test-time Training of Implicit Neural Representation.
Pattern Recognit., February, 2024

Talk3D: High-Fidelity Talking Portrait Synthesis via Personalized 3D Generative Prior.
CoRR, 2024

MoDiTalker: Motion-Disentangled Diffusion Model for High-Fidelity Talking Head Generation.
CoRR, 2024

Self-Rectifying Diffusion Sampling with Perturbed-Attention Guidance.
CoRR, 2024

Unifying Feature and Cost Aggregation with Transformers for Semantic and Visual Correspondence.
CoRR, 2024

Relaxing Accurate Initialization Constraint for 3D Gaussian Splatting.
CoRR, 2024

HeteroSwitch: Characterizing and Taming System-Induced Data Heterogeneity in Federated Learning.
CoRR, 2024

LatentSwap: An Efficient Latent Code Mapping Framework for Face Swapping.
CoRR, 2024

Hybrid Video Diffusion Models with 2D Triplane and 3D Wavelet Representation.
CoRR, 2024

DreamMatcher: Appearance Matching Self-Attention for Semantically-Consistent Text-to-Image Personalization.
CoRR, 2024

Retrieval-Augmented Score Distillation for Text-to-3D Generation.
CoRR, 2024

Few-Shot Neural Radiance Fields under Unconstrained Illumination.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Context Enhanced Transformer for Single Image Object Detection in Video Data.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
CATs++: Boosting Cost Aggregation With Convolutions and Transformers.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Stereo Confidence Estimation via Locally Adaptive Fusion and Knowledge Distillation.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Context Enhanced Transformer for Single Image Object Detection.
CoRR, 2023

Universal Noise Annotation: Unveiling the Impact of Noisy annotation on Object Detection.
CoRR, 2023

Unifying Correspondence, Pose and NeRF for Pose-Free Novel View Synthesis from Stereo Pairs.
CoRR, 2023

Self-Evolving Neural Radiance Fields.
CoRR, 2023

Match me if you can: Semantic Correspondence Learning with Unpaired Images.
CoRR, 2023

Domain Generalization Using Large Pretrained Models with Mixture-of-Adapters.
CoRR, 2023

User-friendly Image Editing with Minimal Text Input: Leveraging Captioning and Injection Techniques.
CoRR, 2023

DäRF: Boosting Radiance Fields from Sparse Inputs with Monocular Depth Adaptation.
CoRR, 2023

DiffMatch: Diffusion Model for Dense Matching.
CoRR, 2023

Large Language Models are Frame-level Directors for Zero-shot Text-to-Video Generation.
CoRR, 2023

Panoramic Image-to-Image Translation.
CoRR, 2023

Debiasing Scores and Prompts of 2D Diffusion for Robust Text-to-3D Generation.
CoRR, 2023

CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation.
CoRR, 2023

ExtremeNeRF: Few-shot Neural Radiance Fields Under Unconstrained Illumination.
CoRR, 2023

Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation.
CoRR, 2023

You Truly Understand What I Need: Intellectual and Friendly Dialogue Agents grounding Knowledge and Persona.
CoRR, 2023

6D Object Pose Estimation Using a Particle Filter With Better Initialization.
IEEE Access, 2023

3D GAN Inversion with Pose Optimization.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

DäRF: Boosting Radiance Fields from Sparse Input Views with Monocular Depth Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Debiasing Scores and Prompts of 2D Diffusion for View-consistent Text-to-3D Generation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

GeCoNeRF: Few-shot Neural Radiance Fields via Geometric Consistency.
Proceedings of the International Conference on Machine Learning, 2023

Image Guided Inpainting with Parameter Efficient Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Improving Sample Quality of Diffusion Models Using Self-Attention Guidance.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

LANIT: Language-Driven Image-to-Image Translation for Unlabeled Data.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

PartMix: Regularization Strategy to Learn Part Discovery for Visible-Infrared Person Re-Identification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

MIDMs: Matching Interleaved Diffusion Models for Exemplar-Based Image Translation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Modeling Object Dissimilarity for Deep Saliency Prediction.
Trans. Mach. Learn. Res., 2022

Memory-Guided Image De-Raining Using Time-Lapse Data.
IEEE Trans. Image Process., 2022

On the Confidence of Stereo Matching in a Deep-Learning Era: A Quantitative Evaluation.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Pyramidal Semantic Correspondence Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

DiffFace: Diffusion-based Face Swapping with Facial Guidance.
CoRR, 2022

Semi-Supervised Learning of Monocular Depth Estimation via Consistency Regularization with K-way Disjoint Masking.
CoRR, 2022

DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic Models.
CoRR, 2022

SplitNet: Learnable Clean-Noisy Label Splitting for Learning with Noisy Labels.
CoRR, 2022

Integrative Feature and Cost Aggregation with Transformers for Dense Correspondence.
CoRR, 2022

LANIT: Language-Driven Image-to-Image Translation for Unlabeled Data.
CoRR, 2022

AE-NeRF: Auto-Encoding Neural Radiance Fields for 3D-Aware Object Manipulation.
CoRR, 2022

AggMatch: Aggregating Pseudo Labels for Semi-Supervised Learning.
CoRR, 2022

Spatial Contrastive Learning for Anomaly Detection and Localization.
IEEE Access, 2022

Neural Matching Fields: Implicit Representation of Matching Fields for Visual Correspondence.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Meta-confidence estimation for stereo matching.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Semi-Supervised Learning with Mutual Distillation for Monocular Depth Estimation.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Meta-Learned Initialization For 3D Human Recovery.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Joint Learning of Feature Extraction and Cost Aggregation for Semantic Correspondence.
Proceedings of the IEEE International Conference on Acoustics, 2022

You Truly Understand What I Need : Intellectual and Friendly Dialog Agents grounding Persona and Knowledge.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Towards Flexible Inductive Bias via Progressive Reparameterization Scheduling.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

ConMatch: Semi-supervised Learning with Confidence-Guided Consistency Regularization.
Proceedings of the Computer Vision - ECCV 2022, 2022

Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Semi-Supervised Learning of Semantic Correspondence with Pseudo-Labels.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

InstaFormer: Instance-Aware Image-to-Image Translation with Transformer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Deep Translation Prior: Test-Time Training for Photorealistic Style Transfer.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Call for Customized Conversation: Customized Conversation Grounding Persona and Knowledge.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Adversarial Confidence Estimation Networks for Robust Stereo Matching.
IEEE Trans. Intell. Transp. Syst., 2021

Dense Cross-Modal Correspondence Estimation With the Deep Self-Correlation Descriptor.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Cost Aggregation Is All You Need for Few-Shot Segmentation.
CoRR, 2021

HoughCL: Finding Better Positive Pairs in Dense Self-supervised Learning.
CoRR, 2021

MOI-Mixer: Improving MLP-Mixer with Multi Order Interactions in Sequential Recommendation.
CoRR, 2021

Semantic Correspondence with Transformers.
CoRR, 2021

CATs: Cost Aggregation Transformers for Visual Correspondence.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Canonical 3D Object Representation for Fine-Grained Recognition.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Deep Matching Prior: Test-Time Optimization for Dense Correspondence.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Adaptive confidence thresholding for monocular depth estimation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Mining Better Samples for Contrastive Learning of Temporal Correspondence.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Data Augmentations for Document Images.
Proceedings of the Workshop on Scientific Document Understanding co-located with 35th AAAI Conference on Artificial Inteligence, 2021

Cross-Domain Grouping and Alignment for Domain Adaptive Semantic Segmentation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
High-Precision Depth Estimation Using Uncalibrated LiDAR and Stereo Fusion.
IEEE Trans. Intell. Transp. Syst., 2020

Unsupervised Stereo Matching Using Confidential Correspondence Consistency.
IEEE Trans. Intell. Transp. Syst., 2020

Multi-Modal Recurrent Attention Networks for Facial Expression Recognition.
IEEE Trans. Image Process., 2020

Single Image Deraining Using Time-Lapse Data.
IEEE Trans. Image Process., 2020

Discrete-Continuous Transformation Matching for Dense Semantic Correspondence.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Online Exemplar Fine-Tuning for Image-to-Image Translation.
CoRR, 2020

Adaptive confidence thresholding for semi-supervised monocular depth estimation.
CoRR, 2020

Volumetric Transformer Networks.
Proceedings of the Computer Vision - ECCV 2020, 2020

Guided Semantic Flow.
Proceedings of the Computer Vision - ECCV 2020, 2020

Cylindrical Convolutional Networks for Joint Object Detection and Viewpoint Estimation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

DUNIT: Detection-Based Unsupervised Image-to-Image Translation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Unified Confidence Estimation Networks for Robust Stereo Matching.
IEEE Trans. Image Process., 2019

Learning to Find Unpaired Cross-Spectral Correspondences.
IEEE Trans. Image Process., 2019

FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Satellite Image-Based Ship Classification Method with Sentinel-1 Iw Mode Data.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Graph Regularization Network with Semantic Affinity for Weakly-Supervised Temporal Action Localization.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Unpaired Cross-Spectral Pedestrian Detection Via Adversarial Feature Learning.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Context-Aware Emotion Recognition Networks.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Joint Learning of Semantic Alignment and Object Landmark Detection.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Semantic Attribute Matching Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

LAF-Net: Locally Adaptive Fusion Networks for Stereo Confidence Estimation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Unified multi-spectral pedestrian detection based on probabilistic fusion networks.
Pattern Recognit., 2018

Recurrent Transformer Networks for Semantic Correspondence.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

CoVieW'18: The 1st Workshop and Challenge on Comprehensive Video Understanding in the Wild.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Learning to Detect, Associate, and Recognize Human Actions and Surrounding Scenes in Untrimmed Videos.
Proceedings of the 1st Workshop and Challenge on Comprehensive Video Understanding in the Wild, 2018

Audio-Visual Attention Networks for Emotion Recognition.
Proceedings of the 2018 Workshop on Audio-Visual Scene Understanding for Immersive Multimedia, 2018

High-Precision Depth Estimation with the 3D LiDAR and Stereo Fusion.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Spatiotemporal Attention Based Deep Neural Networks for Emotion Recognition.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

PARN: Pyramidal Affine Regression Networks for Dense Semantic Correspondence.
Proceedings of the Computer Vision - ECCV 2018, 2018

Learning Descriptor, Confidence, and Depth Estimation in Multi-View Stereo.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017
Feature Augmentation for Learning Confidence Measure in Stereo Matching.
IEEE Trans. Image Process., 2017

Modality-Invariant Image Classification Based on Modality Uniqueness and Dictionary Learning.
IEEE Trans. Image Process., 2017

LAT: Local area transform for cross modal correspondence matching.
Pattern Recognit., 2017

DASC: Robust Dense Descriptor for Multi-Modal and Multi-Spectral Correspondence Estimation.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Dynamic flow steering for IoT monitoring data in SDN-coordinated IoT-Cloud services.
Proceedings of the 2017 International Conference on Information Networking, 2017

Pedestrian proposal generation using depth-aware scale estimation.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Deep stereo confidence prediction for depth estimation.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Unsupervised stereo matching using correspondence consistency.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Convolutional cost aggregation for robust stereo matching.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Convolutional feature pyramid fusion via attention network.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Multispectral human co-segmentation via joint convolutional neural networks.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

DCTM: Discrete-Continuous Transformation Matching for Semantic Flow.
Proceedings of the IEEE International Conference on Computer Vision, 2017

FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Understanding Automated Continuous Integration for Containerized Smart Energy IoT-Cloud Service.
Proceedings of the Advances in Computer Science and Ubiquitous Computing, 2017

Reliable smart energy IoT-cloud service operation with container orchestration.
Proceedings of the 19th Asia-Pacific Network Operations and Management Symposium, 2017

2016
Fast illumination-robust foreground detection using hierarchical distribution map for real-time video surveillance system.
Expert Syst. Appl., 2016

Deep Self-Convolutional Activations Descriptor for Dense Cross-Modal Correspondence.
CoRR, 2016

Enabling operation data visibility for SmartX-mini IoT-cloud playground.
Proceedings of the IEEE NetSoft Conference and Workshops, 2016

Multi-spectral pedestrian detection based on accumulated object proposal with fully convolutional networks.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

ANCC flow: Adaptive normalized cross-correlation with evolving guidance aggregation for dense correspondence estimation.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Dense Correspondence using Multilevel Segmentation and Affine Transformation.
Proceedings of the Image Processing: Machine Vision Applications IX, 2016

Unified Depth Prediction and Intrinsic Image Decomposition from a Single Image via Joint Convolutional Neural Fields.
Proceedings of the Computer Vision - ECCV 2016, 2016

Deep Self-correlation Descriptor for Dense Cross-Modal Correspondence.
Proceedings of the Computer Vision - ECCV 2016, 2016

Homography flow for dense correspondences.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2016

2015
A multi-vision sensor-based fast localization system with image matching for challenging outdoor environments.
Expert Syst. Appl., 2015

Fast affine-invariant image matching based on global Bhattacharyya measure with adaptive tree.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Statistical approach for supervised codeword selection.
Proceedings of the Intelligent Robots and Computer Vision XXXII: Algorithms and Techniques, 2015

DASC: Dense adaptive self-correlation descriptor for multi-modal and multi-spectral correspondence.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Randomized Global Transformation Approach for Dense Correspondence.
Proceedings of the British Machine Vision Conference 2015, 2015

Robust stereo matching based on probabilistic Laplacian propagation with weighted mutual information.
Proceedings of the Three-Dimensional Image Processing, 2015

2014
Mahalanobis Distance Cross-Correlation for Illumination-Invariant Stereo Matching.
IEEE Trans. Circuits Syst. Video Technol., 2014

Synthesis quality prediction model based on distortion intolerance.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Local self-similarity frequency descriptor for multispectral feature matching.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Robust Stereo Matching Using Probabilistic Laplacian Surface Propagation.
Proceedings of the Computer Vision - ACCV 2014, 2014

2013
ABFT: Anisotropic binary feature transform based on structure tensor space.
Proceedings of the IEEE International Conference on Image Processing, 2013


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