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Byeongho Heo
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2020 – today
- 2024
- [c30]Jaehui Hwang, Dongyoon Han, Byeongho Heo, Song Park, Sanghyuk Chun, Jong-Seok Lee:
Similarity of Neural Architectures Using Adversarial Attack Transferability. ECCV (68) 2024: 106-126 - [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, Byeongho Heo, Jin Young 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, Byeongho Heo, Jong-Seok Lee:
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, Jihoon Tack, Byeongho Heo, Jung-Woo Ha, Jinwoo Shin:
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, Sangdoo Yun, Dongyoon Han, Byeongho Heo, Jin Young Choi:
Detecting and Removing Text in the Wild. IEEE Access 9: 123313-123323 (2021) - [j3]Kyuewang Lee, Hyung Jin Chang, Jongwon Choi, Byeongho Heo, Ales Leonardis, Jin Young Choi:
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, Sanghyuk Chun:
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, Seong Joon Oh:
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, Byeongho Heo, Jung-Woo Ha, Byung Cheol Song:
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, 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:
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, Jin Young Choi:
Appearance and motion based deep learning architecture for moving object detection in moving camera. ICIP 2017: 1827-1831 - 2014
- [c3]Sangdoo Yun, Hawook Jeong, Woo-Sung Kang, Byeongho Heo, Jin Young Choi:
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, Hawook Jeong, Byeongho Heo, Hyung Jin Chang, Jin Young Choi:
Initialization-Insensitive Visual Tracking through Voting with Salient Local Features. ICCV 2013: 2912-2919
Coauthor Index
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last updated on 2024-12-03 21:19 CET by the dblp team
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