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Jin Young Choi

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

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

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+9 more ↓ πŸ—ΊοΈ Taxonomy Completionist (70) πŸƒ Academic Marathon Β· Half 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🧭 Keyword Pioneer πŸ† Keyword Champion (2) 🀝 Dynamic Duo (10) πŸ“ˆ Trend Setter ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (139)

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 NeurIPS 2024 MoST: Motion Style Transformer Between Diverse Action Contents CVPR 2024 Balanced Energy Regularization Loss for Out-of-Distribution Detection CVPR 2023 Confidence-Based Feature Imputation for Graphs with Partially Known Features ICLR 2023 Quantitative Manipulation of Custom Attributes on 3D-Aware Image Synthesis CVPR 2023 Global-Local Motion Transformer for Unsupervised Skeleton-Based Action Learning ECCV 2022 Hypergraph-Induced Semantic Tuplet Loss for Deep Metric Learning CVPR 2022 The Majority Can Help the Minority: Context-Rich Minority Oversampling for Long-Tailed Classification CVPR 2022 AutoLR: Layer-wise Pruning and Auto-tuning of Learning Rates in Fine-tuning of Deep Networks AAAI 2021 Class-Attentive Diffusion Network for Semi-Supervised Classification AAAI 2021 Influence-Balanced Loss for Imbalanced Visual Classification ICCV 2021 Unsupervised Hyperbolic Representation Learning via Message Passing Auto-Encoders CVPR 2021 Associative Variational Auto-Encoder with Distributed Latent Spaces and Associators AAAI 2020 Separating Particulate Matter From a Single Microscopic Image CVPR 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 Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons AAAI 2019 Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning ICCV 2019 Context-Aware Deep Feature Compression for High-Speed Visual Tracking CVPR 2018 Action-Decision Networks for Visual Tracking With Deep Reinforcement Learning CVPR 2017 Anti-Glare: Tightly Constrained Optimization for Eyeglass Reflection Removal 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 Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold CVPR 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