← Authors

Byeongho Heo

28 papers · 2013–2025 · 6 conferences · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (15) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (43) 🌍 Conference Polyglot (6) πŸƒ Academic Marathon (12) 🌱 Topic Pioneer 🀝 Dynamic Duo (15) 🧬 Topic Evolution πŸ“ˆ Trend Setter ❓ The Questioner πŸ’Ž Century Club (28) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (76) ⚑ Prolific Year (6) πŸ”₯ Unstoppable (5)

Conferences

ICLR (7) ECCV (6) CVPR (5) ICCV (5) AAAI (4) ICML (1)

Top co-authors

Dongyoon Han (15) Sangdoo Yun (12) Sanghyuk Chun (7) Jin Young Choi (6) Taekyung Kim (4) Song Park (4) Seong Joon Oh (4) Wonjae Kim (3) Jung-Woo Ha (2) YoungJoon Yoo (2)

Keywords

image classification (7) knowledge distillation (6) transfer learning (4) model compression (4) vision transformer (4) attention mechanism (3) data augmentation (3) object detection (3) channel dimension (2) teacher network (2) student network (2) neural network (2) feature distillation (2) knowledge transfer (1) self-supervised learning (1) representation learning (1) model architecture (1) sparse representation (1) feature matching (1) multi-label classification (1)

Papers

Masking meets Supervision: A Strong Learning Alliance CVPR 2025
Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Models ICLR 2025
Morphing Tokens Draw Strong Masked Image Models ICLR 2025
Rotary Position Embedding for Vision Transformer ECCV 2024
Learning with Unmasked Tokens Drives Stronger Vision Learners ECCV 2024
Similarity of Neural Architectures using Adversarial Attack Transferability ECCV 2024
Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance ICLR 2024
DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs ECCV 2024
SeiT++: Masked Token Modeling Improves Storage-efficient Training ECCV 2024
Scratching Visual Transformer's Back with Uniform Attention ICCV 2023
What Do Self-Supervised Vision Transformers Learn? ICLR 2023
SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel Storage ICCV 2023
Improving Ensemble Distillation With Weight Averaging and Diversifying Perturbation ICML 2022
Joint Global and Local Hierarchical Priors for Learned Image Compression CVPR 2022
The Majority Can Help the Minority: Context-Rich Minority Oversampling for Long-Tailed Classification CVPR 2022
K-Centered Patch Sampling for Efficient Video Recognition ECCV 2022
Learning Features with Parameter-Free Layers ICLR 2022
ViDT: An Efficient and Effective Fully Transformer-based Object Detector ICLR 2022
Rethinking Spatial Dimensions of Vision Transformers ICCV 2021
Re-Labeling ImageNet: From Single to Multi-Labels, From Global to Localized Labels CVPR 2021
AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights ICLR 2021
Rethinking Channel Dimensions for Efficient Model Design CVPR 2021
Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching AAAI 2021
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 Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons AAAI 2019
Knowledge Distillation with Adversarial Samples Supporting Decision Boundary AAAI 2019
Initialization-Insensitive Visual Tracking through Voting with Salient Local Features ICCV 2013