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2020 – today
- 2024
- [j6]Geonmo Gu, Sanghyuk Chun, Wonjae Kim, HeeJae Jun, Yoohoon Kang, Sangdoo Yun:
CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion. Trans. Mach. Learn. Res. 2024 (2024) - [c59]Jaewoo Ahn, Taehyun Lee, Junyoung Lim, Jin-Hwa Kim, Sangdoo Yun, Hwaran Lee, Gunhee Kim:
TimeChara: Evaluating Point-in-Time Character Hallucination of Role-Playing Large Language Models. ACL (Findings) 2024: 3291-3325 - [c58]Taehyun Lee, Seokhee Hong, Jaewoo Ahn, Ilgee Hong, Hwaran Lee, Sangdoo Yun, Jamin Shin, Gunhee Kim:
Who Wrote this Code? Watermarking for Code Generation. ACL (1) 2024: 4890-4911 - [c57]Martin Gubri, Dennis Ulmer, Hwaran Lee, Sangdoo Yun, Seong Joon Oh:
TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification. ACL (Findings) 2024: 11496-11517 - [c56]Dennis Ulmer, Martin Gubri, Hwaran Lee, Sangdoo Yun, Seong Joon Oh:
Calibrating Large Language Models Using Their Generations Only. ACL (1) 2024: 15440-15459 - [c55]Geonmo Gu, Sanghyuk Chun, Wonjae Kim, Yoohoon Kang, Sangdoo Yun:
Language-only Efficient Training of Zero-shot Composed Image Retrieval. CVPR 2024: 13225-13234 - [c54]Dong-Hwan Jang, Sangdoo Yun, Dongyoon Han:
Model Stock: All We Need Is Just a Few Fine-Tuned Models. ECCV (44) 2024: 207-223 - [c53]Wonjae Kim, Sanghyuk Chun, Taekyung Kim, Dongyoon Han, Sangdoo Yun:
HYPE: Hyperbolic Entailment Filtering for Underspecified Images and Texts. ECCV (40) 2024: 247-265 - [c52]Byeongho Heo
, Song Park
Rotary Position Embedding for Vision Transformer. ECCV (10) 2024: 289-305 - [c51]Seungone Kim, Jamin Shin, Yejin Choi, Joel Jang, Shayne Longpre, Hwaran Lee, Sangdoo Yun, Seongjin Shin, Sungdong Kim, James Thorne, Minjoon Seo:
Prometheus: Inducing Fine-Grained Evaluation Capability in Language Models. ICLR 2024 - [c50]Jang-Hyun Kim, Junyoung Yeom, Sangdoo Yun, Hyun Oh Song:
Compressed Context Memory for Online Language Model Interaction. ICLR 2024 - [c49]Jungbeom Lee, Sanghyuk Chun, Sangdoo Yun:
Toward Interactive Regional Understanding in Vision-Large Language Models. NAACL-HLT 2024: 6416-6429 - [i62]Martin Gubri
TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification. CoRR abs/2402.12991 (2024) - [i61]Dennis Ulmer, Martin Gubri
Calibrating Large Language Models Using Their Generations Only. CoRR abs/2403.05973 (2024) - [i60]Byeongho Heo, Song Park, Dongyoon Han, Sangdoo Yun:
Rotary Position Embedding for Vision Transformer. CoRR abs/2403.13298 (2024) - [i59]Jungbeom Lee, Sanghyuk Chun, Sangdoo Yun:
Toward Interactive Regional Understanding in Vision-Large Language Models. CoRR abs/2403.18260 (2024) - [i58]Dong-Hwan Jang, Sangdoo Yun, Dongyoon Han:
Model Stock: All we need is just a few fine-tuned models. CoRR abs/2403.19522 (2024) - [i57]Wonjae Kim, Sanghyuk Chun, Taekyung Kim, Dongyoon Han, Sangdoo Yun:
HYPE: Hyperbolic Entailment Filtering for Underspecified Images and Texts. CoRR abs/2404.17507 (2024) - [i56]Kihoon Son, Jinhyeon Kwon, Daeun Choi, Tae Soo Kim, Young-Ho Kim, Sangdoo Yun, Juho Kim:
Unveiling Disparities in Web Task Handling Between Human and Web Agent. CoRR abs/2405.04497 (2024) - [i55]Jaewoo Ahn, Taehyun Lee, Junyoung Lim, Jin-Hwa Kim, Sangdoo Yun, Hwaran Lee, Gunhee Kim:
TimeChara: Evaluating Point-in-Time Character Hallucination of Role-Playing Large Language Models. CoRR abs/2405.18027 (2024) - [i54]Yong-Hyun Park, Sangdoo Yun, Jin-Hwa Kim, Junho Kim, Geonhui Jang, Yonghyun Jeong, Junghyo Jo, Gayoung Lee:
Direct Unlearning Optimization for Robust and Safe Text-to-Image Models. CoRR abs/2407.21035 (2024) - [i53]Jang-Hyun Kim, Claudia Skok Gibbs, Sangdoo Yun, Hyun Oh Song, Kyunghyun Cho:
Targeted Cause Discovery with Data-Driven Learning. CoRR abs/2408.16218 (2024) - [i52]Changdae Oh, Yixuan Li, Kyungwoo Song, Sangdoo Yun, Dongyoon Han:
DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation. CoRR abs/2410.03782 (2024) - [i51]Jeongeun Park, Sungjoon Choi, Sangdoo Yun:
Versatile Motion Language Models for Multi-Turn Interactive Agents. CoRR abs/2410.05628 (2024) - [i50]Sanghyuk Chun, Wonjae Kim, Song Park, Sangdoo Yun:
Probabilistic Language-Image Pre-Training. CoRR abs/2410.18857 (2024) - [i49]Haritz Puerto, Martin Gubri, Sangdoo Yun, Seong Joon Oh:
Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models. CoRR abs/2411.00154 (2024) - 2023
- [j5]Joonhyun Jeong, Sungmin Cha, Jongwon Choi
Observations on K-Image Expansion of Image-Mixing Augmentation. IEEE Access 11: 16631-16643 (2023) - [c48]Jaewoo Ahn, Yeda Song, Sangdoo Yun, Gunhee Kim:
MPCHAT: Towards Multimodal Persona-Grounded Conversation. ACL (1) 2023: 3354-3377 - [c47]Gyeongsik Moon, Hongsuk Choi, Sanghyuk Chun, Jiyoung Lee
Three Recipes for Better 3D Pseudo-GTs of 3D Human Mesh Estimation in the Wild. CVPR Workshops 2023: 2755-2764 - [c46]Geewook Kim, Hodong Lee, Daehee Kim, Haeji Jung, Sanghee Park, Yoonsik Kim, Sangdoo Yun, Taeho Kil, Bado Lee, Seunghyun Park:
Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models. EMNLP 2023: 11989-12010 - [c45]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 - [c44]Dongyoon Han, Junsuk Choe
Neglected Free Lunch - Learning Image Classifiers Using Annotation Byproducts. ICCV 2023: 20143-20155 - [c43]Taeoh Kim, Jinhyung Kim, Minho Shim, Sangdoo Yun, Myunggu Kang, Dongyoon Wee, Sangyoun Lee:
Exploring Temporally Dynamic Data Augmentation for Video Recognition. ICLR 2023 - [c42]Namuk Park, Wonjae Kim, Byeongho Heo, Taekyung Kim, Sangdoo Yun:
What Do Self-Supervised Vision Transformers Learn? ICLR 2023 - [c41]Siwon Kim, Sangdoo Yun, Hwaran Lee, Martin Gubri, Sungroh Yoon, Seong Joon Oh:
ProPILE: Probing Privacy Leakage in Large Language Models. NeurIPS 2023 - [c40]Jang-Hyun Kim, Sangdoo Yun, Hyun Oh Song:
Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data. NeurIPS 2023 - [i48]Jang-Hyun Kim, Sangdoo Yun, Hyun Oh Song:
Neural Relation Graph for Identifying Problematic Data. CoRR abs/2301.12321 (2023) - [i47]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) - [i46]Geonmo Gu, Sanghyuk Chun, Wonjae Kim, HeeJae Jun, Yoohoon Kang, Sangdoo Yun:
CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion. CoRR abs/2303.11916 (2023) - [i45]Dongyoon Han, Junsuk Choe, Seonghyeok Chun, John Joon Young Chung, Minsuk Chang, Sangdoo Yun, Jean Y. Song, Seong Joon Oh:
Neglected Free Lunch; Learning Image Classifiers Using Annotation Byproducts. CoRR abs/2303.17595 (2023) - [i44]Gyeongsik Moon, Hongsuk Choi, Sanghyuk Chun, Jiyoung Lee
Three Recipes for Better 3D Pseudo-GTs of 3D Human Mesh Estimation in the Wild. CoRR abs/2304.04875 (2023) - [i43]Seulki Park, Daeho Um, Hajung Yoon, Sanghyuk Chun, Sangdoo Yun, Jin Young Choi:
RoCOCO: Robust Benchmark MS-COCO to Stress-test Robustness of Image-Text Matching Models. CoRR abs/2304.10727 (2023) - [i42]Namuk Park, Wonjae Kim, Byeongho Heo, Taekyung Kim, Sangdoo Yun:
What Do Self-Supervised Vision Transformers Learn? CoRR abs/2305.00729 (2023) - [i41]Taehyun Lee, Seokhee Hong, Jaewoo Ahn, Ilgee Hong, Hwaran Lee, Sangdoo Yun, Jamin Shin, Gunhee Kim:
Who Wrote this Code? Watermarking for Code Generation. CoRR abs/2305.15060 (2023) - [i40]Geewook Kim, Hodong Lee, Daehee Kim, Haeji Jung, Sanghee Park, Yoonsik Kim, Sangdoo Yun, Taeho Kil, Bado Lee, Seunghyun Park:
Cream: Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models. CoRR abs/2305.15080 (2023) - [i39]Jaewoo Ahn, Yeda Song, Sangdoo Yun, Gunhee Kim:
MPCHAT: Towards Multimodal Persona-Grounded Conversation. CoRR abs/2305.17388 (2023) - [i38]Byeongho Heo, Taekyung Kim, Sangdoo Yun, Dongyoon Han:
Augmenting Sub-model to Improve Main Model. CoRR abs/2306.11339 (2023) - [i37]Siwon Kim, Sangdoo Yun, Hwaran Lee, Martin Gubri, Sungroh Yoon, Seong Joon Oh:
ProPILE: Probing Privacy Leakage in Large Language Models. CoRR abs/2307.01881 (2023) - [i36]Seungone Kim, Jamin Shin, Yejin Cho, Joel Jang, Shayne Longpre, Hwaran Lee, Sangdoo Yun, Seongjin Shin, Sungdong Kim, James Thorne, Minjoon Seo:
Prometheus: Inducing Fine-grained Evaluation Capability in Language Models. CoRR abs/2310.08491 (2023) - [i35]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) - [i34]Geonmo Gu, Sanghyuk Chun, Wonjae Kim, Yoohoon Kang, Sangdoo Yun:
Language-only Efficient Training of Zero-shot Composed Image Retrieval. CoRR abs/2312.01998 (2023) - [i33]Jang-Hyun Kim, Junyoung Yeom, Sangdoo Yun, Hyun Oh Song:
Compressed Context Memory For Online Language Model Interaction. CoRR abs/2312.03414 (2023) - 2022
- [j4]Dae Ung Jo
How Much a Model be Trained by Passive Learning Before Active Learning? IEEE Access 10: 34677-34689 (2022) - [c39]Jongin Lim, Sangdoo Yun, Seulki Park, Jin Young Choi:
Hypergraph-Induced Semantic Tuplet Loss for Deep Metric Learning. CVPR 2022: 212-222 - [c38]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 - [c37]Jungbeom Lee, Seong Joon Oh, Sangdoo Yun, Junsuk Choe
Weakly Supervised Semantic Segmentation using Out-of-Distribution Data. CVPR 2022: 16876-16885 - [c36]Geewook Kim, Teakgyu Hong, Moonbin Yim, JeongYeon Nam, Jinyoung Park, Jinyeong Yim, Wonseok Hwang, Sangdoo Yun, Dongyoon Han, Seunghyun Park:
OCR-Free Document Understanding Transformer. ECCV (28) 2022: 498-517 - [c35]Luca Scimeca, Seong Joon Oh, Sanghyuk Chun, Michael Poli, Sangdoo Yun:
Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective. ICLR 2022 - [c34]Jang-Hyun Kim, Jinuk Kim, Seong Joon Oh, Sangdoo Yun, Hwanjun Song, Joonhyun Jeong, Jung-Woo Ha, Hyun Oh Song:
Dataset Condensation via Efficient Synthetic-Data Parameterization. ICML 2022: 11102-11118 - [c33]Saehyung Lee, Sanghyuk Chun, Sangwon Jung, Sangdoo Yun, Sungroh Yoon:
Dataset Condensation with Contrastive Signals. ICML 2022: 12352-12364 - [c32]Chanwoo Park, Sangdoo Yun, Sanghyuk Chun:
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective. NeurIPS 2022 - [i32]Saehyung Lee, Sanghyuk Chun, Sangwon Jung, Sangdoo Yun, Sungroh Yoon:
Dataset Condensation with Contrastive Signals. CoRR abs/2202.02916 (2022) - [i31]Jungbeom Lee, Seong Joon Oh, Sangdoo Yun, Junsuk Choe, Eunji Kim, Sungroh Yoon:
Weakly Supervised Semantic Segmentation using Out-of-Distribution Data. CoRR abs/2203.03860 (2022) - [i30]Jang-Hyun Kim, Jinuk Kim, Seong Joon Oh, Sangdoo Yun, Hwanjun Song, Joonhyun Jeong, Jung-Woo Ha
Dataset Condensation via Efficient Synthetic-Data Parameterization. CoRR abs/2205.14959 (2022) - [i29]Taeoh Kim, Jinhyung Kim, Minho Shim, Sangdoo Yun, Myunggu Kang, Dongyoon Wee, Sangyoun Lee:
Exploring Temporally Dynamic Data Augmentation for Video Recognition. CoRR abs/2206.15015 (2022) - [i28]Chanwoo Park, Sangdoo Yun, Sanghyuk Chun:
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective. CoRR abs/2208.09913 (2022) - [i27]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
- [j3]Junho Cho
Detecting and Removing Text in the Wild. IEEE Access 9: 123313-123323 (2021) - [j2]Junsuk Choe
Region-based dropout with attention prior for weakly supervised object localization. Pattern Recognit. 116: 107949 (2021) - [c31]Dongyoon Han, Sangdoo Yun, Byeongho Heo, Youngjoon Yoo:
Rethinking Channel Dimensions for Efficient Model Design. CVPR 2021: 732-741 - [c30]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 - [c29]Jeesoo Kim, Junsuk Choe
Normalization Matters in Weakly Supervised Object Localization. ICCV 2021: 3407-3416 - [c28]Byeongho Heo, Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Junsuk Choe
Rethinking Spatial Dimensions of Vision Transformers. ICCV 2021: 11916-11925 - [c27]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 - [c26]Youngsoo Lee, Sangdoo Yun, Yeonghun Kim, Sunghee Choi:
Progressive Transmission and Inference of Deep Learning Models. ICMLA 2021: 271-277 - [i26]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) - [i25]Byeongho Heo, Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Junsuk Choe, Seong Joon Oh:
Rethinking Spatial Dimensions of Vision Transformers. CoRR abs/2103.16302 (2021) - [i24]Jeesoo Kim, Junsuk Choe, Sangdoo Yun, Nojun Kwak:
Normalization Matters in Weakly Supervised Object Localization. CoRR abs/2107.13221 (2021) - [i23]Youngsoo Lee, Sangdoo Yun, Yeonghun Kim, Sunghee Choi:
Progressive Transmission and Inference of Deep Learning Models. CoRR abs/2110.00916 (2021) - [i22]Luca Scimeca, Seong Joon Oh, Sanghyuk Chun, Michael Poli, Sangdoo Yun:
Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective. CoRR abs/2110.03095 (2021) - [i21]Joonhyun Jeong, Sungmin Cha, Youngjoon Yoo, Sangdoo Yun, Taesup Moon, Jongwon Choi:
Observations on K-image Expansion of Image-Mixing Augmentation for Classification. CoRR abs/2110.04248 (2021) - [i20]Geewook Kim, Teakgyu Hong, Moonbin Yim, Jinyoung Park, Jinyeong Yim, Wonseok Hwang, Sangdoo Yun, Dongyoon Han, Seunghyun Park:
Donut: Document Understanding Transformer without OCR. CoRR abs/2111.15664 (2021) - [i19]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) - 2020
- [c25]Hyojin Bahng, Sanghyuk Chun, Sangdoo Yun, Jaegul Choo, Seong Joon Oh:
Learning De-biased Representations with Biased Representations. ICML 2020: 528-539 - [i18]Sanghyuk Chun, Seong Joon Oh, Sangdoo Yun, Dongyoon Han, Junsuk Choe, Youngjoon Yoo:
An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods. CoRR abs/2003.03879 (2020) - [i17]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) - [i16]Dongyoon Han, Sangdoo Yun, Byeongho Heo, Young Joon Yoo:
ReXNet: Diminishing Representational Bottleneck on Convolutional Neural Network. CoRR abs/2007.00992 (2020) - [i15]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
- [c24]Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi:
Knowledge Distillation with Adversarial Samples Supporting Decision Boundary. AAAI 2019: 3771-3778 - [c23]Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi:
Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons. AAAI 2019: 3779-3787 - [c22]Youngmin Baek, Bado Lee, Dongyoon Han, Sangdoo Yun, Hwalsuk Lee:
Character Region Awareness for Text Detection. CVPR 2019: 9365-9374 - [c21]Byeongho Heo, Jeesoo Kim, Sangdoo Yun, Hyojin Park, Nojun Kwak, Jin Young Choi:
A Comprehensive Overhaul of Feature Distillation. ICCV 2019: 1921-1930 - [c20]Jeonghun Baek, Geewook Kim, Junyeop Lee, Sungrae Park, Dongyoon Han, Sangdoo Yun, Seong Joon Oh, Hwalsuk Lee:
What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis. ICCV 2019: 4714-4722 - [c19]Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Seong Joon Oh, Youngjoon Yoo, Junsuk Choe
CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features. ICCV 2019: 6022-6031 - [i14]Byeongho Heo, Jeesoo Kim, Sangdoo Yun, Hyojin Park, Nojun Kwak, Jin Young Choi:
A Comprehensive Overhaul of Feature Distillation. CoRR abs/1904.01866 (2019) - [i13]Jeonghun Baek, Geewook Kim, Junyeop Lee, Sungrae Park, Dongyoon Han, Sangdoo Yun, Seong Joon Oh, Hwalsuk Lee:
What is wrong with scene text recognition model comparisons? dataset and model analysis. CoRR abs/1904.01906 (2019) - [i12]Youngmin Baek, Bado Lee, Dongyoon Han, Sangdoo Yun, Hwalsuk Lee:
Character Region Awareness for Text Detection. CoRR abs/1904.01941 (2019) - [i11]Sangdoo Yun, Dongyoon Han, Seong Joon Oh, Sanghyuk Chun, Junsuk Choe, Youngjoon Yoo:
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features. CoRR abs/1905.04899 (2019) - [i10]Young Joon Yoo, Dongyoon Han, Sangdoo Yun:
EXTD: Extremely Tiny Face Detector via Iterative Filter Reuse. CoRR abs/1906.06579 (2019) - [i9]Young Joon Yoo, Sangdoo Yun, Hyung Jin Chang, Yiannis Demiris, Jin Young Choi:
Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold. CoRR abs/1908.04015 (2019) - [i8]Hyojin Bahng, Sanghyuk Chun, Sangdoo Yun, Jaegul Choo, Seong Joon Oh:
Learning De-biased Representations with Biased Representations. CoRR abs/1910.02806 (2019) - [i7]Young Joon Yoo, Sanghyuk Chun, Sangdoo Yun, Jung-Woo Ha, Jaejun Yoo:
Neural Approximation of an Auto-Regressive Process through Confidence Guided Sampling. CoRR abs/1910.06705 (2019) - 2018
- [j1]Sangdoo Yun
Action-Driven Visual Object Tracking With Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2239-2252 (2018) - [c18]Jongwon Choi, Hyung Jin Chang
Context-Aware Deep Feature Compression for High-Speed Visual Tracking. CVPR 2018: 479-488 - [c17]Matej Kristan, Ales Leonardis, Jiri Matas
The Sixth Visual Object Tracking VOT2018 Challenge Results. ECCV Workshops (1) 2018: 3-53 - [c16]Donghoon Lee, Sangdoo Yun, Sungjoon Choi, Hwiyeon Yoo, Ming-Hsuan Yang, Songhwai Oh:
Unsupervised Holistic Image Generation from Key Local Patches. ECCV (5) 2018: 21-37 - [c15]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 - [c14]Jiyeoup Jeong, Hawook Jeong
Selective Ensemble Network for Accurate Crowd Density Estimation. ICPR 2018: 320-325 - [i6]Jongwon Choi, Hyung Jin Chang, Tobias Fischer, Sangdoo Yun, Kyuewang Lee, Jiyeoup Jeong, Yiannis Demiris, Jin Young Choi:
Context-aware Deep Feature Compression for High-speed Visual Tracking. CoRR abs/1803.10537 (2018) - [i5]Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi:
Knowledge Distillation with Adversarial Samples Supporting Decision Boundary. CoRR abs/1805.05532 (2018) - [i4]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) - [i3]Hyojin Park, Youngjoon Yoo, Geonseok Seo, Dongyoon Han, Sangdoo Yun, Nojun Kwak:
Concentrated-Comprehensive Convolutions for lightweight semantic segmentation. CoRR abs/1812.04920 (2018) - 2017
- [c13]Junho Cho, Sangdoo Yun, Kyoungmu Lee, Jin Young Choi:
PaletteNet: Image Recolorization with Given Color Palette. CVPR Workshops 2017: 1058-1066 - [c12]Sangdoo Yun, Jongwon Choi, Youngjoon Yoo, Kimin Yun
Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning. CVPR 2017: 1349-1358 - [c11]Youngjoon Yoo, Sangdoo Yun, Hyung Jin Chang
Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold. CVPR 2017: 2943-2952 - [c10]Jongwon Choi, Hyung Jin Chang
Attentional Correlation Filter Network for Adaptive Visual Tracking. CVPR 2017: 4828-4837 - [i2]Donghoon Lee, Sangdoo Yun, Sungjoon Choi, Hwiyeon Yoo, Ming-Hsuan Yang, Songhwai Oh:
Unsupervised Holistic Image Generation from Key Local Patches. CoRR abs/1703.10730 (2017) - [i1]Young Joon Yoo, Seonguk Park, Junyoung Choi, Sangdoo Yun, Nojun Kwak:
Butterfly Effect: Bidirectional Control of Classification Performance by Small Additive Perturbation. CoRR abs/1711.09681 (2017) - 2016
- [c9]Young Joon Yoo, Kimin Yun
Visual Path Prediction in Complex Scenes with Crowded Moving Objects. CVPR 2016: 2668-2677 - [c8]Sangdoo Yun, Kimin Yun
Density-Aware Pedestrian Proposal Networks for Robust People Detection in Crowded Scenes. ECCV Workshops (2) 2016: 643-654 - [c7]Kimin Yun
Attention-inspired moving object detection in monocular dashcam videos. ICPR 2016: 2706-2711 - [c6]Sangdoo Yun, Hawook Jeong
Voting-based 3D object cuboid detection robust to partial occlusion from RGB-D images. WACV 2016: 1-8 - 2015
- [c5]Hawook Jeong
Category Attentional Search for Fast Object Detection by Mimicking Human Visual Perception. WACV 2015: 829-836 - 2014
- [c4]Sangdoo Yun, Kimin Yun
Visual surveillance briefing system: Event-based video retrieval and summarization. AVSS 2014: 204-209 - [c3]Tushar Sandhan, Young Joon Yoo, Hanjoo Yoo, Sangdoo Yun, Moonsub Byeon:
Multi-task learning with over-sampled time-series representation of a trajectory for traffic motion pattern recognition. AVSS 2014: 349-354 - [c2]Sangdoo Yun, Hawook Jeong
Self-Organizing Cascaded Structure of Deformable Part Models for Fast Object Detection. ICPR 2014: 4246-4250 - 2012
- [c1]Sangdoo Yun, Soo Wan Kim, Kwang Moo Yi
Multiple ground plane estimation for 3D scene understanding using a monocular camera. IVCNZ 2012: 1-6
Coauthor Index
Rama Krishna Sai S. Gorthi
aka: Rama Krishna Sai Subrahmanyam Gorthi
aka: Gorthi R. K. Sai Subrahmanyam
aka: Rama Krishna Sai Subrahmanyam Gorthi
aka: Gorthi R. K. Sai Subrahmanyam
Young Joon Yoo
aka: Youngjoon Yoo
aka: Youngjoon Yoo
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For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
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load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
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to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from .
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last updated on 2024-12-11 21:44 CET by the dblp team
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