Initialization-Insensitive Visual Tracking through Voting with Salient Local Features. - Kwang Moo Yi; Hawook Jeong; Byeongho Heo; Hyung Jin Chang; Jin Young Choi 002 (ICCV, 2013)

Self-Organizing Cascaded Structure of Deformable Part Models for Fast Object Detection. - Sangdoo Yun; Hawook Jeong; Woo-Sung Kang; Byeongho Heo; Jin Young Choi 002 (ICPR, 2014)

Weighted Pooling Based on Visual Saliency for Image Classification. - Byeongho Heo; Hawook Jeong; Jiyun Kim; Sang-Il Choi; Jin Young Choi 002 (ISVC (1), 2014)

Appearance and motion based deep learning architecture for moving object detection in moving camera. - Byeongho Heo; Kimin Yun; Jin Young Choi 002 (ICIP, 2017)

Deep learning architecture for pedestrian 3-D localization and tracking using multiple cameras. - Kikyung Kim; Byeongho Heo; Moonsub Byeon; Jin Young Choi 002 (ICIP, 2017)

VisDrone-SOT2018: The Vision Meets Drone Single-Object Tracking Challenge Results. - Longyin Wen; Pengfei Zhu 001; Dawei Du; Xiao Bian; Haibin Ling; Qinghua Hu; Chenfeng Liu; Hao Cheng 010; Xiaoyu Liu 005; Wenya Ma; Qinqin Nie; Haotian Wu 006; et al. (ECCV Workshops (5), 2018)

Pose transforming network: Learning to disentangle human posture in variational auto-encoded latent space. - Jongin Lim 002; Youngjoon Yoo; Byeongho Heo; Jin Young Choi 002 (Pattern Recognit. Lett., 2018)

Knowledge Distillation with Adversarial Samples Supporting Decision Boundary. - Byeongho Heo; Minsik Lee 001; Sangdoo Yun; Jin Young Choi 002 (AAAI, 2019)

Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons. - Byeongho Heo; Minsik Lee 001; Sangdoo Yun; Jin Young Choi 002 (AAAI, 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 002; Jin Young Choi 002 (AAAI, 2019)

A Comprehensive Overhaul of Feature Distillation. - Byeongho Heo; Jeesoo Kim; Sangdoo Yun; Hyojin Park 001; Nojun Kwak; Jin Young Choi 002 (ICCV, 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 002; Jin Young Choi 002 (CoRR, 2019)

Filter Pruning and Re-Initialization via Latent Space Clustering. - Seunghyun Lee 001; Byeongho Heo; Jung-Woo Ha 001; Byung Cheol Song (IEEE Access, 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 001 (CoRR, 2020)

ReXNet: Diminishing Representational Bottleneck on Convolutional Neural Network. - Dongyoon Han; Sangdoo Yun; Byeongho Heo; Young Joon Yoo (CoRR, 2020)

VideoMix: Rethinking Data Augmentation for Video Classification. - Sangdoo Yun; Seong Joon Oh; Byeongho Heo; Dongyoon Han; Jinhyung Kim (CoRR, 2020)

Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching. - Mingi Ji; Byeongho Heo; Sungrae Park (AAAI, 2021)

Rethinking Channel Dimensions for Efficient Model Design. - Dongyoon Han; Sangdoo Yun; Byeongho Heo; Youngjoon Yoo (CVPR, 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 (CVPR, 2021)

Rethinking Spatial Dimensions of Vision Transformers. - Byeongho Heo; Sangdoo Yun; Dongyoon Han; Sanghyuk Chun; Junsuk Choe; Seong Joon Oh (ICCV, 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 001 (ICLR, 2021)

Detecting and Removing Text in the Wild. - Junho Cho; Sangdoo Yun; Dongyoon Han; Byeongho Heo; Jin Young Choi 002 (IEEE Access, 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 002 (Mach. Vis. Appl., 2021)

Joint Global and Local Hierarchical Priors for Learned Image Compression. - Jun-Hyuk Kim; Byeongho Heo; Jong-Seok Lee (CVPR, 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 002 (CVPR, 2022)

K-centered Patch Sampling for Efficient Video Recognition. - Seong Hyeon Park; Jihoon Tack; Byeongho Heo; Jung-Woo Ha 001; Jinwoo Shin (ECCV (35), 2022)

Learning Features with Parameter-Free Layers. - Dongyoon Han; Young Joon Yoo; Beomyoung Kim; Byeongho Heo (ICLR, 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 001 (ICLR, 2022)

Improving Ensemble Distillation With Weight Averaging and Diversifying Perturbation. - Giung Nam; Hyungi Lee; Byeongho Heo; Juho Lee 001 (ICML, 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 001 (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)

Group Generalized Mean Pooling for Vision Transformer. - Byungsoo Ko; Han-Gyu Kim; Byeongho Heo; Sangdoo Yun; Sanghyuk Chun; Geonmo Gu; Wonjae Kim (CoRR, 2022)

Rollback Ensemble With Multiple Local Minima in Fine-Tuning Deep Learning Networks. - Youngmin Ro; Jongwon Choi; Byeongho Heo; Jin Young Choi 002 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Scratching Visual Transformer's Back with Uniform Attention. - Nam Hyeon-Woo; Kim Yu-Ji; Byeongho Heo; Dongyoon Han; Seong Joon Oh; Tae-Hyun Oh (ICCV, 2023)

SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel Storage. - Song Park; Sanghyuk Chun; Byeongho Heo; Wonjae Kim; Sangdoo Yun (ICCV, 2023)

What Do Self-Supervised Vision Transformers Learn? - Namuk Park; Wonjae Kim; Byeongho Heo; Taekyung Kim 002; Sangdoo Yun (ICLR, 2023)

Augmenting Sub-model to Improve Main Model. - Byeongho Heo; Taekyung Kim 002; Sangdoo Yun; Dongyoon Han (CoRR, 2023)

Longer-range Contextualized Masked Autoencoder. - Taekyung Kim 002; Sanghyuk Chun; Byeongho Heo; Dongyoon Han (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)

Forging Tokens for Improved Storage-efficient Training. - Minhyun Lee; Song Park; Byeongho Heo; Dongyoon Han; Hyunjung Shim (CoRR, 2023)

Match Me If You Can: Semi-supervised Semantic Correspondence Learning with Unpaired Images. - Jiwon Kim; Byeongho Heo; Sangdoo Yun; Seungryong Kim; Dongyoon Han (ACCV (6), 2024)

Rotary Position Embedding for Vision Transformer. - Byeongho Heo; Song Park; Dongyoon Han; Sangdoo Yun (ECCV (10), 2024)

Similarity of Neural Architectures Using Adversarial Attack Transferability. - Jaehui Hwang; Dongyoon Han; Byeongho Heo; Song Park; Sanghyuk Chun; Jong-Seok Lee (ECCV (68), 2024)

Learning with Unmasked Tokens Drives Stronger Vision Learners. - Taekyung Kim 002; Sanghyuk Chun; Byeongho Heo; Dongyoon Han (ECCV (34), 2024)

DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs. - Donghyun Kim; Byeongho Heo; Dongyoon Han (ECCV (3), 2024)

SeiT++: Masked Token Modeling Improves Storage-Efficient Training. - Minhyun Lee; Song Park; Byeongho Heo; Dongyoon Han; Hyunjung Shim (ECCV (28), 2024)

Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance. - Giung Nam; Byeongho Heo; Juho Lee 001 (ICLR, 2024)

Masked Image Modeling via Dynamic Token Morphing. - Taekyung Kim 002; Dongyoon Han; Byeongho Heo (CoRR, 2024)

Token-Supervised Value Models for Enhancing Mathematical Reasoning Capabilities of Large Language Models. - Jung Hyun Lee; June Yong Yang; Byeongho Heo; Dongyoon Han; Kang Min Yoo (CoRR, 2024)

MaskRIS: Semantic Distortion-aware Data Augmentation for Referring Image Segmentation. - Minhyun Lee; Seungho Lee; Song Park; Dongyoon Han; Byeongho Heo; Hyunjung Shim (CoRR, 2024)

Masking meets Supervision: A Strong Learning Alliance. - Byeongho Heo; Taekyung Kim 002; Sangdoo Yun; Dongyoon Han (CVPR, 2025)

Morphing Tokens Draw Strong Masked Image Models. - Taekyung Kim 002; Byeongho Heo; Dongyoon Han (ICLR, 2025)

Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Models. - Jung Hyun Lee; June Yong Yang; Byeongho Heo; Dongyoon Han; Kyungsu Kim; Eunho Yang; Kang Min Yoo (ICLR, 2025)

Improving ViT interpretability with patch-level mask prediction. - Junyong Kang; Byeongho Heo; Junsuk Choe (Pattern Recognit. Lett., 2025)

DNNs May Determine Major Properties of Their Outputs Early, with Timing Possibly Driven by Bias. - Song Park; Sanghyuk Chun; Byeongho Heo; Dongyoon Han (CoRR, 2025)

Token Bottleneck: One Token to Remember Dynamics. - Taekyung Kim 002; Dongyoon Han; Byeongho Heo; Jeongeun Park 002; Sangdoo Yun (CoRR, 2025)