Byeongho Heo

According to our database, Byeongho Heo authored at least 43 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs.

Donghyun Kim, Byeongho Heo, Dongyoon Han

CoRR, 2024

Rotary Position Embedding for Vision Transformer.

Byeongho Heo, Song Park, Dongyoon Han, Sangdoo Yun

CoRR, 2024

Masked Image Modeling via Dynamic Token Morphing.

Taekyung Kim, Dongyoon Han, Byeongho Heo

CoRR, 2024

2023

Forging Tokens for Improved Storage-efficient Training.

Minhyun Lee, Song Park, Byeongho Heo, Dongyoon Han, Hyunjung Shim

CoRR, 2023

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

Jiwon Kim, Byeongho Heo, Sangdoo Yun, Seungryong Kim, Dongyoon Han

CoRR, 2023

Longer-range Contextualized Masked Autoencoder.

Taekyung Kim, Sanghyuk Chun, Byeongho Heo, Dongyoon Han

CoRR, 2023

Augmenting Sub-model to Improve Main Model.

Byeongho Heo, Taekyung Kim, Sangdoo Yun, Dongyoon Han

CoRR, 2023

What Do Self-Supervised Vision Transformers Learn?

Namuk Park, Wonjae Kim, Byeongho Heo, Taekyung Kim, Sangdoo Yun

Proceedings of the Eleventh International Conference on Learning Representations, 2023

SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel Storage.

Song Park, Sanghyuk Chun, Byeongho Heo, Wonjae Kim, Sangdoo Yun

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Scratching Visual Transformer's Back with Uniform Attention.

Nam Hyeon-Woo, Kim Yu-Ji, Byeongho Heo, Dongyoon Han, Seong Joon Oh, Tae-Hyun Oh

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Rollback Ensemble With Multiple Local Minima in Fine-Tuning Deep Learning Networks.

Youngmin Ro, Jongwon Choi, Byeongho Heo, Jin Young Choi

IEEE Trans. Neural Networks Learn. Syst., 2022

Group Generalized Mean Pooling for Vision Transformer.

Byungsoo Ko, Han-Gyu Kim, Byeongho Heo, Sangdoo Yun, Sanghyuk Chun, Geonmo Gu, Wonjae Kim

CoRR, 2022

Similarity of Neural Architectures Based on Input Gradient Transferability.

Jaehui Hwang, Dongyoon Han, Byeongho Heo, Song Park, Sanghyuk Chun, Jong-Seok Lee

CoRR, 2022

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

Hwanjun Song, Deqing Sun, Sanghyuk Chun, Varun Jampani, Dongyoon Han, Byeongho Heo, Wonjae Kim, Ming-Hsuan Yang

CoRR, 2022

Improving Ensemble Distillation With Weight Averaging and Diversifying Perturbation.

Giung Nam, Hyungi Lee, Byeongho Heo, Juho Lee

Proceedings of the International Conference on Machine Learning, 2022

ViDT: An Efficient and Effective Fully Transformer-based Object Detector.

Hwanjun Song, Deqing Sun, Sanghyuk Chun, Varun Jampani, Dongyoon Han, Byeongho Heo, Wonjae Kim, Ming-Hsuan Yang

Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning Features with Parameter-Free Layers.

Dongyoon Han, Young Joon Yoo, Beomyoung Kim, Byeongho Heo

Proceedings of the Tenth International Conference on Learning Representations, 2022

K-centered Patch Sampling for Efficient Video Recognition.

Seong Hyeon Park, Jihoon Tack, Byeongho Heo, Jung-Woo Ha, Jinwoo Shin

Proceedings of the Computer Vision - ECCV 2022, 2022

The Majority Can Help the Minority: Context-rich Minority Oversampling for Long-tailed Classification.

Seulki Park, Youngkyu Hong, Byeongho Heo, Sangdoo Yun, Jin Young Choi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Joint Global and Local Hierarchical Priors for Learned Image Compression.

Jun-Hyuk Kim, Byeongho Heo, Jong-Seok Lee

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.

Kyuewang Lee, Hyung Jin Chang, Jongwon Choi, Byeongho Heo, Ales Leonardis, Jin Young Choi

Mach. Vis. Appl., 2021

Detecting and Removing Text in the Wild.

Junho Cho, Sangdoo Yun, Dongyoon Han, Byeongho Heo, Jin Young Choi

IEEE Access, 2021

AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights.

Byeongho Heo, Sanghyuk Chun, Seong Joon Oh, Dongyoon Han, Sangdoo Yun, Gyuwan Kim, Youngjung Uh, Jung-Woo Ha

Proceedings of the 9th International Conference on Learning Representations, 2021

Rethinking Spatial Dimensions of Vision Transformers.

Byeongho Heo, Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Junsuk Choe, Seong Joon Oh

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.

Sangdoo Yun, Seong Joon Oh, Byeongho Heo, Dongyoon Han, Junsuk Choe, Sanghyuk Chun

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Rethinking Channel Dimensions for Efficient Model Design.

Dongyoon Han, Sangdoo Yun, Byeongho Heo, Youngjoon Yoo

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching.

Mingi Ji, Byeongho Heo, Sungrae Park

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

VideoMix: Rethinking Data Augmentation for Video Classification.

Sangdoo Yun, Seong Joon Oh, Byeongho Heo, Dongyoon Han, Jinhyung Kim

CoRR, 2020

ReXNet: Diminishing Representational Bottleneck on Convolutional Neural Network.

Dongyoon Han, Sangdoo Yun, Byeongho Heo, Young Joon Yoo

CoRR, 2020

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

Byeongho Heo, Sanghyuk Chun, Seong Joon Oh, Dongyoon Han, Sangdoo Yun, Youngjung Uh, Jung-Woo Ha

CoRR, 2020

Filter Pruning and Re-Initialization via Latent Space Clustering.

Seunghyun Lee, Byeongho Heo, Jung-Woo Ha, Byung Cheol Song

IEEE Access, 2020

2019

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

Youngmin Ro, Jongwon Choi, Dae Ung Jo, Byeongho Heo, Jongin Lim, Jin Young Choi

CoRR, 2019

A Comprehensive Overhaul of Feature Distillation.

Byeongho Heo, Jeesoo Kim, Sangdoo Yun, Hyojin Park, Nojun Kwak, Jin Young Choi

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.

Youngmin Ro, Jongwon Choi, Dae Ung Jo, Byeongho Heo, Jongin Lim, Jin Young Choi

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons.

Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Knowledge Distillation with Adversarial Samples Supporting Decision Boundary.

Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi

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.

Jongin Lim, Youngjoon Yoo, Byeongho Heo, Jin Young Choi

Pattern Recognit. Lett., 2018

VisDrone-SOT2018: The Vision Meets Drone Single-Object Tracking Challenge Results.

Longyin Wen, Pengfei Zhu, Dawei Du, Xiao Bian, Haibin Ling, Qinghua Hu, Chenfeng Liu, Hao Cheng, Xiaoyu Liu, Wenya Ma, Qinqin Nie, Haotian Wu, Lianjie Wang, Asanka G. Perera, Baochang Zhang, Byeongho Heo, Chunlei Liu, Dongdong Li, Emmanouil Michail, Hanlin Chen, Hao Liu, Haojie Li, Ioannis Kompatsiaris, Jian Cheng, Jiaqing Fan, Jie Zhang, Jin Young Choi, Jing Li, Jinyu Yang, Jongwon Choi, Juanping Zhao, Jungong Han, Kaihua Zhang, Kaiwen Duan, Ke Song, Konstantinos Avgerinakis, Kyuewang Lee, Lu Ding, Martin Lauer, Panagiotis Giannakeris, Peizhen Zhang, Qiang Wang, Qianqian Xu, Qingming Huang, Qingshan Liu, Robert Laganière, Ruixin Zhang, Sangdoo Yun, Shengyin Zhu, Sihang Wu, Stefanos Vrochidis, Wei Tian, Wei Zhang, Weidong Chen, Weiming Hu, Wenhao Wang, Wenhua Zhang, Wenrui Ding, Xiaohao He, Xiaotong Li, Xin Zhang, Xinbin Luo, Xixi Hu, Yang Meng, Yangliu Kuai, Yanyun Zhao, Yaxuan Li, Yifan Yang, Yifan Zhang, Yong Wang, Yuankai Qi, Zhipeng Deng, Zhiqun He

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017

Deep learning architecture for pedestrian 3-D localization and tracking using multiple cameras.

Kikyung Kim, Byeongho Heo, Moonsub Byeon, Jin Young Choi

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.

Byeongho Heo, Kimin Yun, Jin Young Choi

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2014

Weighted Pooling Based on Visual Saliency for Image Classification.

Byeongho Heo, Hawook Jeong, Jiyun Kim, Sang-Il Choi, Jin Young Choi

Proceedings of the Advances in Visual Computing - 10th International Symposium, 2014

Self-Organizing Cascaded Structure of Deformable Part Models for Fast Object Detection.

Sangdoo Yun, Hawook Jeong, Woo-Sung Kang, Byeongho Heo, Jin Young Choi

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013

Initialization-Insensitive Visual Tracking through Voting with Salient Local Features.

Kwang Moo Yi, Hawook Jeong, Byeongho Heo, Hyung Jin Chang, Jin Young Choi

Proceedings of the IEEE International Conference on Computer Vision, 2013