Hoonhee Cho
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    • VR-Drive: Viewpoint-Robust End-to-End Driving with Feed-Forward 3D Gaussian Splatting
    • 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
    • Unleashing the Temporal Potential of Stereo Event Cameras for Continuous-Time 3D Object Detection
    • Ev-3DOD: Pushing the Temporal Boundaries of 3D Object Detection with Event Cameras
    • Unifying Low-Resolution and High-Resolution Alignment by Event Cameras for Space-Time Video Super-Resolution
    • A Benchmark Dataset for Event-Guided Human Pose Estimation and Tracking in Extreme Conditions
    • CMTA: Cross-Modal Temporal Alignment for Event-guided Video Deblurring
    • Finding Meaning in Points: Weakly-Supervised Semantic Segmentation for Event Cameras
    • Temporal Event Stereo via Joint Learning with Stereoscopic Flow
    • Towards Real-world Event-guided Low-light Video Enhancement and Deblurring
    • Towards Robust Event-based Networks for Nighttime via Unpaired Day-to-Night Event Translation
    • Frequency-aware Event-based Video Deblurring for Real-World Motion Blur
    • TTA-EVF: Test-Time Adaptation for Event-based Video Frame Interpolation via Reliable Pixel and Sample Estimation
    • Label-Free Event-based Object Recognition via Joint Learning with Image Reconstruction from Events
    • Non-Coaxial Event-guided Motion Deblurring with Spatial Alignment
    • Learning Adaptive Dense Event Stereo from the Image Domain
    • Efficient Reference-based Video Super-Resolution (ERVSR): Single Reference Image Is All You Need
    • Selection and Cross Similarity for Event-Image Deep Stereo
    • Event-image Fusion Stereo using Cross-modality Feature Propagation
    • EOMVS: Event-based Omnidirectional Multi-View Stereo
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