Yeong Jun Koh
14 papers · 2016–2025 · 3 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (3) π Academic Marathon (9) π Renaissance Researcher (5) πΊοΈ Taxonomy Completionist (29)
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Conference Polyglot
(3)
π
Academic Marathon
(9)
π
Renaissance Researcher
(5)
π
Century Club
(14)
ποΈ
Keyword Collector
(63)
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Conference Pioneer
π₯
Unstoppable
(6)
Conferences
CVPR (7)
ICCV (5)
ECCV (2)
Top co-authors
Keywords
3d reconstruction
(2)
video object segmentation
(2)
video segmentation
(2)
attention mechanism
(2)
image enhancement
(2)
color transformation
(2)
scene understanding
(1)
feature extraction
(1)
iterative optimization
(1)
motion estimation
(1)
deformable convolution
(1)
event camera
(1)
object detection
(1)
autonomous driving
(1)
pose estimation
(1)
graph-based clustering
(1)
video understanding
(1)
monocular depth estimation
(1)
3d pose estimation
(1)
3d vision
(1)
Papers
GRAE-3DMOT: Geometry Relation-Aware Encoder for Online 3D Multi-Object Tracking
CVPR 2025
EVOLVE: Event-Guided Deformable Feature Transfer and Dual-Memory Refinement for Low-Light Video Object Segmentation
ICCV 2025
SOAP: Vision-Centric 3D Semantic Scene Completion with Scene-Adaptive Decoder and Occluded Region-Aware View Projection
CVPR 2025
Luminance-aware Color Transform for Multiple Exposure Correction
ICCV 2023
BAAM: Monocular 3D Pose and Shape Reconstruction With Bi-Contextual Attention Module and Attention-Guided Modeling
CVPR 2023
Local Connectivity-Based Density Estimation for Face Clustering
CVPR 2023
Representative Color Transform for Image Enhancement
ICCV 2021
Guided Interactive Video Object Segmentation Using Reliability-Based Attention Maps
CVPR 2021
Interactive Video Object Segmentation Using Global and Local Transfer Modules
ECCV 2020
Instance-Level Future Motion Estimation in a Single Image Based on Ordinal Regression
ICCV 2019
Sequential Clique Optimization for Video Object Segmentation
ECCV 2018
CDTS: Collaborative Detection, Tracking, and Segmentation for Online Multiple Object Segmentation in Videos
ICCV 2017
Primary Object Segmentation in Videos Based on Region Augmentation and Reduction
CVPR 2017
POD: Discovering Primary Objects in Videos Based on Evolutionary Refinement of Object Recurrence, Background, and Primary Object Models
CVPR 2016