Kuk-Jin Yoon

67

Papers

103

Total Citations

Papers (67)

Towards Robust 3D Object Detection with LiDAR and 4D Radar Fusion in Various Weather Conditions

Towards Real-world Event-guided Low-light Video Enhancement and Deblurring

T4P: Test-Time Training of Trajectory Prediction via Masked Autoencoder and Actor-specific Token Memory

Temporal Event Stereo via Joint Learning with Stereoscopic Flow

CMTA: Cross-Modal Temporal Alignment for Event-guided Video Deblurring

Quantifying Task Priority for Multi-Task Optimization

LiDAR-based All-weather 3D Object Detection via Prompting and Distilling 4D Radar

Unleashing the Temporal Potential of Stereo Event Cameras for Continuous-Time 3D Object Detection

Event-guided Unified Framework for Low-light Video Enhancement, Frame Interpolation, and Deblurring

WarpHE4D: Dense 4D Head Map toward Full Head Reconstruction

Robust Adverse Weather Removal via Spectral-based Spatial Grouping

DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation

Synchronizing Task Behavior: Aligning Multiple Tasks during Test-Time Training

Doppler-Aware LiDAR-RADAR Fusion for Weather-Robust 3D Detection

Generative Active Learning for Long-tail Trajectory Prediction via Controllable Diffusion Model

Interaction-Merged Motion Planning: Effectively Leveraging Diverse Motion Datasets for Robust Planning

Improving Transferability for Cross-Domain Trajectory Prediction via Neural Stochastic Differential Equation

FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks

Weakly Supervised Point Cloud Semantic Segmentation via Artificial Oracle

Class Tokens Infusion for Weakly Supervised Semantic Segmentation

TTA-EVF: Test-Time Adaptation for Event-based Video Frame Interpolation via Reliable Pixel and Sample Estimation

From SAM to CAMs: Exploring Segment Anything Model for Weakly Supervised Semantic Segmentation

Multi-agent Long-term 3D Human Pose Forecasting via Interaction-aware Trajectory Conditioning

Frequency-aware Event-based Video Deblurring for Real-World Motion Blur

Leveraging Stereo Matching With Learning-Based Confidence Measures

Real-Time Joint Estimation of Camera Orientation and Vanishing Points

Improving Person Re-Identification via Pose-Aware Multi-Shot Matching

Online Multi-Object Tracking via Structural Constraint Event Aggregation

SpherePHD: Applying CNNs on a Spherical PolyHeDron Representation of 360deg Images

Event-Based High Dynamic Range Image and Very High Frame Rate Video Generation Using Conditional Generative Adversarial Networks

Learning to Super Resolve Intensity Images From Events

EventSR: From Asynchronous Events to Image Reconstruction, Restoration, and Super-Resolution via End-to-End Adversarial Learning

EvDistill: Asynchronous Events To End-Task Learning via Bidirectional Reconstruction-Guided Cross-Modal Knowledge Distillation

MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation

GIQE: Generic Image Quality Enhancement via Nth Order Iterative Degradation

Stereo Depth From Events Cameras: Concentrate and Focus on the Future

SphereSR: 360deg Image Super-Resolution With Arbitrary Projection via Continuous Spherical Image Representation

UDA-COPE: Unsupervised Domain Adaptation for Category-Level Object Pose Estimation

Weakly Supervised Semantic Segmentation via Adversarial Learning of Classifier and Reconstructor

Learning Adaptive Dense Event Stereo From the Image Domain

Cross-Guided Optimization of Radiance Fields With Multi-View Image Super-Resolution for High-Resolution Novel View Synthesis

Event-Based Video Frame Interpolation With Cross-Modal Asymmetric Bidirectional Motion Fields

Single Domain Generalization for LiDAR Semantic Segmentation

Any6D: Model-free 6D Pose Estimation of Novel Object

Joint Layout Estimation and Global Multi-View Registration for Indoor Reconstruction

Automatic Content-Aware Projection for 360deg Videos

Unlocking the Potential of Ordinary Classifier: Class-Specific Adversarial Erasing Framework for Weakly Supervised Semantic Segmentation

Event-Intensity Stereo: Estimating Depth by the Best of Both Worlds

Learning Icosahedral Spherical Probability Map Based on Bingham Mixture Model for Vanishing Point Estimation

Dual Transfer Learning for Event-Based End-Task Prediction via Pluggable Event to Image Translation

Non-Coaxial Event-Guided Motion Deblurring with Spatial Alignment

MATE: Masked Autoencoders are Online 3D Test-Time Learners

Label-Free Event-based Object Recognition via Joint Learning with Image Reconstruction from Events

Learning Point Cloud Completion without Complete Point Clouds: A Pose-Aware Approach

Facial Depth and Normal Estimation Using Single Dual-Pixel Camera

BIPS: Bi-modal Indoor Panorama Synthesis via Residual Depth-Aided Adversarial Learning

Event-Guided Deblurring of Unknown Exposure Time Videos

Adversarial Erasing Framework via Triplet with Gated Pyramid Pooling Layer for Weakly Supervised Semantic Segmentation

Selection and Cross Similarity for Event-Image Deep Stereo

TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation

WISH: Weakly Supervised Instance Segmentation using Heterogeneous Labels

Ev-3DOD: Pushing the Temporal Boundaries of 3D Object Detection with Event Cameras

Multi-modal Knowledge Distillation-based Human Trajectory Forecasting

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras

Learning Large Motion Estimation from Intermediate Representations with a High-Resolution Optical Flow Dataset Featuring Long-Range Dynamic Motion

Joint Learning of 2D-3D Weakly Supervised Semantic Segmentation