Augmenting Sub-model to Improve Main Model

Byeongho Heo, Taekyung Kim, Sangdoo Yun, Dongyoon Han

 Arxiv, 2023

[arxiv] [code]

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

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

IEEE International Conference on Computer Vision (ICCV), 2023

[arxiv]

Scratching Visual Transformer's Back with Uniform Attention

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

IEEE International Conference on Computer Vision (ICCV), 2023

[arxiv]

What Do Self-Supervised Vision Transformers Learn?

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

 International Conference on Learning Representations (ICLR), 2023 

[paper]

Group Generalized Mean Pooling for Vision Transformer

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

Arxiv, 2022

[arxiv]

Similarity of Neural Architectures Based on Input Gradient Transferability

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

Arxiv, 2022

[arxiv]

K-centered Patch Sampling for Efficient Video Recognition

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

European Conference on Computer Vision (ECCV), 2022

[paper]

Improving Ensemble Distillation with Weight Averaging and Diversifying Perturbation

Giung Nam, Hyungi Lee, Byeongho Heo, Juho Lee

International Conference on Machine Learning (ICML), 2022

[paper]

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

Arxiv, 2022

[arxiv] [code]

Joint Global and Local Hierarchical Priors for Learned Image Compression

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

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022

[arxiv]

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

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022

[arxiv] [code]

Learning Features with Parameter-Free Layers

Dongyoon Han, YoungJoon Yoo, Beomyoung Kim, Byeongho Heo

International Conference on Learning Representations (ICLR), 2022

[pdf] [arxiv] [code]

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

International Conference on Learning Representations (ICLR), 2022

[arxiv] [code]

Rethinking Spatial Dimensions of Vision Transformers

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

IEEE International Conference on Computer Vision (ICCV), 2021

[arxiv] [code]

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

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021

[arxiv] [code]

Rethinking Channel Dimensions for Efficient Model Design

Dongyoon Han, Sangdoo Yun, Byeongho Heo, YoungJoon Yoo

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021

[arxiv] [code]

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

Mingi Ji, Byeongho Heo, Sungrae Park

AAAI Conference on Artificial Intelligence (AAAI), 2021

[arxiv] [code]

VideoMix: Rethinking Data Augmentation for Video Classification

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

Arxiv, 2020

[arxiv]

A Comprehensive Overhaul of Feature Distillation

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

 IEEE International Conference on Computer Vision (ICCV), 2019 

[arxiv] [project page] [code] [slides] [poster]

Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons

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

AAAI Conference on Artificial Intelligence (AAAI), 2019, oral

[pdf] [code] [slides] [poster]

Knowledge Distillation with Adversarial Samples Supporting Decision Boundary

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

AAAI Conference on Artificial Intelligence (AAAI), 2019

[pdf] [code] [slides] [spotlight] [poster] 

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, and Jin Young Choi 

AAAI Conference on Artificial Intelligence (AAAI), 2019

[pdf] [code]

Appearance and motion based deep learning architecture for moving object detection in moving camera

Byeongho Heo, Kimin Yun, and Jin Young Choi

IEEE International Conference on Image Processing (ICIP), 2017, oral

[pdf]

Deep Learning Architecture for Pedestrian 3-D Localization and Tracking Using Multiple Cameras

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

IEEE International Conference on Image Processing (ICIP), 2017, oral

[pdf]

Weighted Pooling Based on Visual Saliency for Image Classification

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

International Symposium on Visual Computing (ISVC), 2014, oral

[pdf]

Detecting and Removing Text in the Wild

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

IEEE Access, 2021

[paper]

Motion-aware ensemble of three-mode trackers for unmanned aerial vehicles

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

Machine Vision and Applications, 2021

[paper]

Filter Pruning and Re-Initialization via Latent Space Clustering

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

IEEE Access, 2020

[paper]

Pose Transforming Network: Learning to Disentangle Human Posture in Variational Auto-encoded Latent Space 

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

Pattern Recognition Letters (PRL), September 2018

[pdf]