Byeongho Heo

Orcid: 0000-0003-2134-6345

According to our database1, Byeongho Heo authored at least 48 papers between 2013 and 2024.

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Bibliography

2024
Token-Supervised Value Models for Enhancing Mathematical Reasoning Capabilities of Large Language Models.
CoRR, 2024

Masked Image Modeling via Dynamic Token Morphing.
CoRR, 2024

Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

SeiT++: Masked Token Modeling Improves Storage-Efficient Training.
Proceedings of the Computer Vision - ECCV 2024, 2024

DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs.
Proceedings of the Computer Vision - ECCV 2024, 2024

Learning with Unmasked Tokens Drives Stronger Vision Learners.
Proceedings of the Computer Vision - ECCV 2024, 2024

Similarity of Neural Architectures Using Adversarial Attack Transferability.
Proceedings of the Computer Vision - ECCV 2024, 2024

Rotary Position Embedding for Vision Transformer.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Forging Tokens for Improved Storage-efficient Training.
CoRR, 2023

Match me if you can: Semantic Correspondence Learning with Unpaired Images.
CoRR, 2023

Longer-range Contextualized Masked Autoencoder.
CoRR, 2023

Augmenting Sub-model to Improve Main Model.
CoRR, 2023

What Do Self-Supervised Vision Transformers Learn?
Proceedings of the Eleventh International Conference on Learning Representations, 2023

SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel Storage.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Scratching Visual Transformer's Back with Uniform Attention.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Rollback Ensemble With Multiple Local Minima in Fine-Tuning Deep Learning Networks.
IEEE Trans. Neural Networks Learn. Syst., 2022

Group Generalized Mean Pooling for Vision Transformer.
CoRR, 2022

Similarity of Neural Architectures Based on Input Gradient Transferability.
CoRR, 2022

An Extendable, Efficient and Effective Transformer-based Object Detector.
CoRR, 2022

Improving Ensemble Distillation With Weight Averaging and Diversifying Perturbation.
Proceedings of the International Conference on Machine Learning, 2022

ViDT: An Efficient and Effective Fully Transformer-based Object Detector.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning Features with Parameter-Free Layers.
Proceedings of the Tenth International Conference on Learning Representations, 2022

K-centered Patch Sampling for Efficient Video Recognition.
Proceedings of the Computer Vision - ECCV 2022, 2022

The Majority Can Help the Minority: Context-rich Minority Oversampling for Long-tailed Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Joint Global and Local Hierarchical Priors for Learned Image Compression.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Motion-aware ensemble of three-mode trackers for unmanned aerial vehicles.
Mach. Vis. Appl., 2021

Detecting and Removing Text in the Wild.
IEEE Access, 2021

AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights.
Proceedings of the 9th International Conference on Learning Representations, 2021

Rethinking Spatial Dimensions of Vision Transformers.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Re-Labeling ImageNet: From Single to Multi-Labels, From Global to Localized Labels.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Rethinking Channel Dimensions for Efficient Model Design.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
VideoMix: Rethinking Data Augmentation for Video Classification.
CoRR, 2020

ReXNet: Diminishing Representational Bottleneck on Convolutional Neural Network.
CoRR, 2020

Slowing Down the Weight Norm Increase in Momentum-based Optimizers.
CoRR, 2020

Filter Pruning and Re-Initialization via Latent Space Clustering.
IEEE Access, 2020

2019
Backbone Can Not be Trained at Once: Rolling Back to Pre-trained Network for Person Re-Identification.
CoRR, 2019

A Comprehensive Overhaul of Feature Distillation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Backbone Cannot Be Trained at Once: Rolling Back to Pre-Trained Network for Person Re-Identification.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Knowledge Distillation with Adversarial Samples Supporting Decision Boundary.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Pose transforming network: Learning to disentangle human posture in variational auto-encoded latent space.
Pattern Recognit. Lett., 2018


2017
Deep learning architecture for pedestrian 3-D localization and tracking using multiple cameras.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Appearance and motion based deep learning architecture for moving object detection in moving camera.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2014
Weighted Pooling Based on Visual Saliency for Image Classification.
Proceedings of the Advances in Visual Computing - 10th International Symposium, 2014

Self-Organizing Cascaded Structure of Deformable Part Models for Fast Object Detection.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013
Initialization-Insensitive Visual Tracking through Voting with Salient Local Features.
Proceedings of the IEEE International Conference on Computer Vision, 2013


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