Jin Young Choi
29 papers · 2013–2024 · 6 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (5) π Interdisciplinary Bridge π Academic Marathon (11) π Conference Polyglot (6) πΊοΈ Taxonomy Completionist (81)
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Taxonomy Completionist
(81)
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Keyword Pioneer
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Topic Pioneer
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Dynamic Duo
(10)
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Conference Pioneer
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Century Club
(29)
ποΈ
Keyword Collector
(140)
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Trend Setter
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Unstoppable
(9)
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Prolific Year
(5)
Conferences
CVPR (14)
AAAI (7)
ICCV (5)
ECCV (1)
ICLR (1)
NIPS (1)
Top co-authors
Keywords
visual tracking
(5)
transfer learning
(3)
knowledge distillation
(3)
unsupervised learning
(3)
correlation filter
(3)
image classification
(3)
class imbalance
(3)
loss function
(2)
student network
(2)
decision boundary
(2)
teacher network
(2)
object tracking
(2)
model compression
(2)
image restoration
(2)
variational autoencoder
(2)
non-convex optimization
(1)
image generation
(1)
action recognition
(1)
representation learning
(1)
feature learning
(1)
Papers
Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding
AAAI 2024
Hierarchical Visual Feature Aggregation for OCR-Free Document Understanding
NIPS 2024
MoST: Motion Style Transformer Between Diverse Action Contents
CVPR 2024
Confidence-Based Feature Imputation for Graphs with Partially Known Features
ICLR 2023
Balanced Energy Regularization Loss for Out-of-Distribution Detection
CVPR 2023
Quantitative Manipulation of Custom Attributes on 3D-Aware Image Synthesis
CVPR 2023
The Majority Can Help the Minority: Context-Rich Minority Oversampling for Long-Tailed Classification
CVPR 2022
Global-Local Motion Transformer for Unsupervised Skeleton-Based Action Learning
ECCV 2022
Hypergraph-Induced Semantic Tuplet Loss for Deep Metric Learning
CVPR 2022
AutoLR: Layer-wise Pruning and Auto-tuning of Learning Rates in Fine-tuning of Deep Networks
AAAI 2021
Unsupervised Hyperbolic Representation Learning via Message Passing Auto-Encoders
CVPR 2021
Influence-Balanced Loss for Imbalanced Visual Classification
ICCV 2021
Class-Attentive Diffusion Network for Semi-Supervised Classification
AAAI 2021
Separating Particulate Matter From a Single Microscopic Image
CVPR 2020
Associative Variational Auto-Encoder with Distributed Latent Spaces and Associators
AAAI 2020
A Comprehensive Overhaul of Feature Distillation
ICCV 2019
Backbone Cannot Be Trained at Once: Rolling Back to Pre-Trained Network for Person Re-Identification
AAAI 2019
Knowledge Distillation with Adversarial Samples Supporting Decision Boundary
AAAI 2019
Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning
ICCV 2019
Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons
AAAI 2019
Context-Aware Deep Feature Compression for High-Speed Visual Tracking
CVPR 2018
Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold
CVPR 2017
Anti-Glare: Tightly Constrained Optimization for Eyeglass Reflection Removal
CVPR 2017
Action-Decision Networks for Visual Tracking With Deep Reinforcement Learning
CVPR 2017
Attentional Correlation Filter Network for Adaptive Visual Tracking
CVPR 2017
Simultaneous Detection and Removal of High Altitude Clouds From an Image
ICCV 2017
Visual Path Prediction in Complex Scenes With Crowded Moving Objects
CVPR 2016
Visual Tracking Using Attention-Modulated Disintegration and Integration
CVPR 2016
Initialization-Insensitive Visual Tracking through Voting with Salient Local Features
ICCV 2013