Jayakorn Vongkulbhisal
6 papers · 2016–2024 · 2 venues · across top CS/AI venues
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Achievements
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🏃 Academic Marathon · Sprint 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (20)
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Topic Evolution
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Keyword Champion
Top co-authors
Research topics
Machine Learning
(5)
Computer Vision
(4)
Deep Learning
(4)
Analysis
(4)
Learning Types · Deep Learning
(3)
Optimization & Theory · Machine Learning
(3)
Core Methods
(2)
Learning Types · Machine Learning
(2)
Application Areas
(1)
Optimization & Theory · Deep Learning
(1)
Processing
(1)
Techniques
(1)
Keywords
point cloud registration
(2)
discriminative optimization
(2)
3d reconstruction
(1)
model merging
(1)
object detection
(1)
knowledge distillation
(1)
structure from motion
(1)
soft label
(1)
rigid transformation
(1)
probability estimation
(1)
classification calibration
(1)
sequential learning
(1)
motion segmentation
(1)
bayes optimal classifier
(1)
monocular video
(1)
3d vision
(1)
synthetic training data
(1)
focal loss
(1)
unsupervised object detection
(1)
unsupervised learning
(1)
Papers
A Sequential Learning-Based Approach for Monocular Human Performance Capture
WACV 2024
On Focal Loss for Class-Posterior Probability Estimation: A Theoretical Perspective
CVPR 2021
Unifying Heterogeneous Classifiers With Distillation
CVPR 2019
Inverse Composition Discriminative Optimization for Point Cloud Registration
CVPR 2018
Discriminative Optimization: Theory and Applications to Point Cloud Registration
CVPR 2017
Motion From Structure (MfS): Searching for 3D Objects in Cluttered Point Trajectories
CVPR 2016