← Authors

Jin Young Choi

29 papers · 2013–2024 · 6 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (6) πŸƒ Academic Marathon (11) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (81) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌱 Topic Pioneer 🀝 Dynamic Duo (10) πŸš€ Conference Pioneer πŸ’Ž Century Club (29) πŸ—ƒοΈ Keyword Collector (140) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (9) ⚑ Prolific Year (5)

Conferences

CVPR (14) AAAI (7) ICCV (5) ECCV (1) ICLR (1) NIPS (1)

Top co-authors

Sangdoo Yun (10) Hyung Jin Chang (10) Jongwon Choi (6) Byeongho Heo (6) Seulki Park (4) Yiannis Demiris (4) Jongin Lim (4) YoungJoon Yoo (4) Dae Ung Jo (3) Hawook Jeong (3)

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