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Byeongho Heo
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2020 – today
- 2024
- [c29]Minhyun Lee, Song Park, Byeongho Heo, Dongyoon Han, Hyunjung Shim:
SeiT++: Masked Token Modeling Improves Storage-Efficient Training. ECCV (28) 2024: 180-197 - [c28]Byeongho Heo, Song Park, Dongyoon Han, Sangdoo Yun:
Rotary Position Embedding for Vision Transformer. ECCV (10) 2024: 289-305 - [c27]Taekyung Kim, Sanghyuk Chun, Byeongho Heo, Dongyoon Han:
Learning with Unmasked Tokens Drives Stronger Vision Learners. ECCV (34) 2024: 350-367 - [c26]Donghyun Kim, Byeongho Heo, Dongyoon Han:
DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs. ECCV (3) 2024: 395-415 - [c25]Giung Nam, Byeongho Heo, Juho Lee:
Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance. ICLR 2024 - [i30]Taekyung Kim, Dongyoon Han, Byeongho Heo:
Masked Image Modeling via Dynamic Token Morphing. CoRR abs/2401.00254 (2024) - [i29]Byeongho Heo, Song Park, Dongyoon Han, Sangdoo Yun:
Rotary Position Embedding for Vision Transformer. CoRR abs/2403.13298 (2024) - [i28]Donghyun Kim, Byeongho Heo, Dongyoon Han:
DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs. CoRR abs/2403.19588 (2024) - [i27]Giung Nam, Byeongho Heo, Juho Lee:
Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance. CoRR abs/2404.00860 (2024) - [i26]Jung Hyun Lee, June Yong Yang, Byeongho Heo, Dongyoon Han, Kang Min Yoo:
Token-Supervised Value Models for Enhancing Mathematical Reasoning Capabilities of Large Language Models. CoRR abs/2407.12863 (2024) - 2023
- [c24]Nam Hyeon-Woo, Kim Yu-Ji, Byeongho Heo, Dongyoon Han, Seong Joon Oh, Tae-Hyun Oh:
Scratching Visual Transformer's Back with Uniform Attention. ICCV 2023: 5784-5795 - [c23]Song Park, Sanghyuk Chun, Byeongho Heo, Wonjae Kim, Sangdoo Yun:
SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel Storage. ICCV 2023: 17202-17213 - [c22]Namuk Park, Wonjae Kim, Byeongho Heo, Taekyung Kim, Sangdoo Yun:
What Do Self-Supervised Vision Transformers Learn? ICLR 2023 - [i25]Song Park, Sanghyuk Chun, Byeongho Heo, Wonjae Kim, Sangdoo Yun:
SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel Storage. CoRR abs/2303.11114 (2023) - [i24]Namuk Park, Wonjae Kim, Byeongho Heo, Taekyung Kim, Sangdoo Yun:
What Do Self-Supervised Vision Transformers Learn? CoRR abs/2305.00729 (2023) - [i23]Byeongho Heo, Taekyung Kim, Sangdoo Yun, Dongyoon Han:
Augmenting Sub-model to Improve Main Model. CoRR abs/2306.11339 (2023) - [i22]Taekyung Kim, Sanghyuk Chun, Byeongho Heo, Dongyoon Han:
Longer-range Contextualized Masked Autoencoder. CoRR abs/2310.13593 (2023) - [i21]Jiwon Kim, Byeongho Heo, Sangdoo Yun, Seungryong Kim, Dongyoon Han:
Match me if you can: Semantic Correspondence Learning with Unpaired Images. CoRR abs/2311.18540 (2023) - [i20]Minhyun Lee, Song Park, Byeongho Heo, Dongyoon Han, Hyunjung Shim:
Forging Tokens for Improved Storage-efficient Training. CoRR abs/2312.10105 (2023) - 2022
- [j5]Youngmin Ro
, Jongwon Choi
Rollback Ensemble With Multiple Local Minima in Fine-Tuning Deep Learning Networks. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4648-4660 (2022) - [c21]Jun-Hyuk Kim
Joint Global and Local Hierarchical Priors for Learned Image Compression. CVPR 2022: 5982-5991 - [c20]Seulki Park, Youngkyu Hong, Byeongho Heo, Sangdoo Yun, Jin Young Choi:
The Majority Can Help the Minority: Context-rich Minority Oversampling for Long-tailed Classification. CVPR 2022: 6877-6886 - [c19]Seong Hyeon Park
K-centered Patch Sampling for Efficient Video Recognition. ECCV (35) 2022: 160-176 - [c18]Dongyoon Han, Young Joon Yoo, Beomyoung Kim, Byeongho Heo:
Learning Features with Parameter-Free Layers. ICLR 2022 - [c17]Hwanjun Song, Deqing Sun, Sanghyuk Chun, Varun Jampani, Dongyoon Han, Byeongho Heo, Wonjae Kim, Ming-Hsuan Yang:
ViDT: An Efficient and Effective Fully Transformer-based Object Detector. ICLR 2022 - [c16]Giung Nam, Hyungi Lee, Byeongho Heo, Juho Lee:
Improving Ensemble Distillation With Weight Averaging and Diversifying Perturbation. ICML 2022: 16353-16367 - [i19]Dongyoon Han, Young Joon Yoo, Beomyoung Kim, Byeongho Heo:
Learning Features with Parameter-Free Layers. CoRR abs/2202.02777 (2022) - [i18]Hwanjun Song, Deqing Sun, Sanghyuk Chun, Varun Jampani, Dongyoon Han, Byeongho Heo, Wonjae Kim, Ming-Hsuan Yang:
An Extendable, Efficient and Effective Transformer-based Object Detector. CoRR abs/2204.07962 (2022) - [i17]Giung Nam, Hyungi Lee, Byeongho Heo, Juho Lee:
Improving Ensemble Distillation With Weight Averaging and Diversifying Perturbation. CoRR abs/2206.15047 (2022) - [i16]Nam Hyeon-Woo, Kim Yu-Ji, Byeongho Heo, Dongyoon Han, Seong Joon Oh, Tae-Hyun Oh:
Scratching Visual Transformer's Back with Uniform Attention. CoRR abs/2210.08457 (2022) - [i15]Jaehui Hwang, Dongyoon Han, Byeongho Heo, Song Park, Sanghyuk Chun, Jong-Seok Lee:
Similarity of Neural Architectures Based on Input Gradient Transferability. CoRR abs/2210.11407 (2022) - [i14]Byungsoo Ko, Han-Gyu Kim, Byeongho Heo, Sangdoo Yun, Sanghyuk Chun, Geonmo Gu, Wonjae Kim:
Group Generalized Mean Pooling for Vision Transformer. CoRR abs/2212.04114 (2022) - 2021
- [j4]Junho Cho
Detecting and Removing Text in the Wild. IEEE Access 9: 123313-123323 (2021) - [j3]Kyuewang Lee, Hyung Jin Chang
Motion-aware ensemble of three-mode trackers for unmanned aerial vehicles. Mach. Vis. Appl. 32(3): 54 (2021) - [c15]Mingi Ji, Byeongho Heo, Sungrae Park:
Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching. AAAI 2021: 7945-7952 - [c14]Dongyoon Han, Sangdoo Yun, Byeongho Heo, Youngjoon Yoo:
Rethinking Channel Dimensions for Efficient Model Design. CVPR 2021: 732-741 - [c13]Sangdoo Yun, Seong Joon Oh, Byeongho Heo, Dongyoon Han, Junsuk Choe
Re-Labeling ImageNet: From Single to Multi-Labels, From Global to Localized Labels. CVPR 2021: 2340-2350 - [c12]Byeongho Heo, Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Junsuk Choe
Rethinking Spatial Dimensions of Vision Transformers. ICCV 2021: 11916-11925 - [c11]Byeongho Heo, Sanghyuk Chun, Seong Joon Oh, Dongyoon Han, Sangdoo Yun, Gyuwan Kim, Youngjung Uh, Jung-Woo Ha:
AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights. ICLR 2021 - [i13]Sangdoo Yun, Seong Joon Oh, Byeongho Heo, Dongyoon Han, Junsuk Choe, Sanghyuk Chun:
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels. CoRR abs/2101.05022 (2021) - [i12]Mingi Ji, Byeongho Heo, Sungrae Park:
Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching. CoRR abs/2102.02973 (2021) - [i11]Byeongho Heo, Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Junsuk Choe, Seong Joon Oh:
Rethinking Spatial Dimensions of Vision Transformers. CoRR abs/2103.16302 (2021) - [i10]Hwanjun Song, Deqing Sun, Sanghyuk Chun, Varun Jampani, Dongyoon Han, Byeongho Heo, Wonjae Kim, Ming-Hsuan Yang:
ViDT: An Efficient and Effective Fully Transformer-based Object Detector. CoRR abs/2110.03921 (2021) - [i9]Seulki Park, Youngkyu Hong, Byeongho Heo, Sangdoo Yun, Jin Young Choi:
The Majority Can Help The Minority: Context-rich Minority Oversampling for Long-tailed Classification. CoRR abs/2112.00412 (2021) - [i8]Jun-Hyuk Kim, Byeongho Heo, Jong-Seok Lee:
Joint Global and Local Hierarchical Priors for Learned Image Compression. CoRR abs/2112.04487 (2021) - 2020
- [j2]Seunghyun Lee
Filter Pruning and Re-Initialization via Latent Space Clustering. IEEE Access 8: 189587-189597 (2020) - [i7]Byeongho Heo, Sanghyuk Chun, Seong Joon Oh, Dongyoon Han, Sangdoo Yun, Youngjung Uh, Jung-Woo Ha:
Slowing Down the Weight Norm Increase in Momentum-based Optimizers. CoRR abs/2006.08217 (2020) - [i6]Dongyoon Han, Sangdoo Yun, Byeongho Heo, Young Joon Yoo:
ReXNet: Diminishing Representational Bottleneck on Convolutional Neural Network. CoRR abs/2007.00992 (2020) - [i5]Sangdoo Yun, Seong Joon Oh, Byeongho Heo, Dongyoon Han, Jinhyung Kim:
VideoMix: Rethinking Data Augmentation for Video Classification. CoRR abs/2012.03457 (2020)
2010 – 2019
- 2019
- [c10]Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi:
Knowledge Distillation with Adversarial Samples Supporting Decision Boundary. AAAI 2019: 3771-3778 - [c9]Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi:
Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons. AAAI 2019: 3779-3787 - [c8]Youngmin Ro, Jongwon Choi, Dae Ung Jo, Byeongho Heo, Jongin Lim, Jin Young Choi:
Backbone Cannot Be Trained at Once: Rolling Back to Pre-Trained Network for Person Re-Identification. AAAI 2019: 8859-8867 - [c7]Byeongho Heo, Jeesoo Kim, Sangdoo Yun, Hyojin Park, Nojun Kwak, Jin Young Choi:
A Comprehensive Overhaul of Feature Distillation. ICCV 2019: 1921-1930 - [i4]Youngmin Ro, Jongwon Choi, Dae Ung Jo, Byeongho Heo, Jongin Lim, Jin Young Choi:
Backbone Can Not be Trained at Once: Rolling Back to Pre-trained Network for Person Re-Identification. CoRR abs/1901.06140 (2019) - [i3]Byeongho Heo, Jeesoo Kim, Sangdoo Yun, Hyojin Park, Nojun Kwak, Jin Young Choi:
A Comprehensive Overhaul of Feature Distillation. CoRR abs/1904.01866 (2019) - 2018
- [j1]Jongin Lim, Youngjoon Yoo, Byeongho Heo, Jin Young Choi
Pose transforming network: Learning to disentangle human posture in variational auto-encoded latent space. Pattern Recognit. Lett. 112: 91-97 (2018) - [c6]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
VisDrone-SOT2018: The Vision Meets Drone Single-Object Tracking Challenge Results. ECCV Workshops (5) 2018: 469-495 - [i2]Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi:
Knowledge Distillation with Adversarial Samples Supporting Decision Boundary. CoRR abs/1805.05532 (2018) - [i1]Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi:
Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons. CoRR abs/1811.03233 (2018) - 2017
- [c5]Kikyung Kim, Byeongho Heo, Moonsub Byeon, Jin Young Choi:
Deep learning architecture for pedestrian 3-D localization and tracking using multiple cameras. ICIP 2017: 1147-1151 - [c4]Byeongho Heo, Kimin Yun
Appearance and motion based deep learning architecture for moving object detection in moving camera. ICIP 2017: 1827-1831 - 2014
- [c3]Sangdoo Yun, Hawook Jeong
Self-Organizing Cascaded Structure of Deformable Part Models for Fast Object Detection. ICPR 2014: 4246-4250 - [c2]Byeongho Heo, Hawook Jeong, Jiyun Kim, Sang-Il Choi, Jin Young Choi:
Weighted Pooling Based on Visual Saliency for Image Classification. ISVC (1) 2014: 647-657 - 2013
- [c1]Kwang Moo Yi
Initialization-Insensitive Visual Tracking through Voting with Salient Local Features. ICCV 2013: 2912-2919
Coauthor Index
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last updated on 2024-11-15 19:29 CET by the dblp team
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