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2020 – today
- 2024
[c125]Taehoon Kim, Jaeyoo Park, Bohyung Han:
Cross-Class Feature Augmentation for Class Incremental Learning. AAAI 2024: 13168-13176- [c124]Donghun Ryou, Inju Ha, Hyewon Yoo, Dongwan Kim, Bohyung Han:
Robust Image Denoising Through Adversarial Frequency Mixup. CVPR 2024: 2723-2732 - [c123]Taehoon Kim, Pyunghwan Ahn, Sangyun Kim, Sihaeng Lee, Mark Marsden, Alessandra Sala, Seung Hwan Kim, Bohyung Han, Kyoung Mu Lee, Honglak Lee, Kyounghoon Bae, Xiangyu Wu, Yi Gao, Hailiang Zhang, Yang Yang, Weili Guo, Jianfeng Lu, Youngtaek Oh, Jae-Won Cho, Dong-Jin Kim, In So Kweon, Junmo Kim, Wooyoung Kang, Won Young Jhoo, Byungseok Roh, Jonghwan Mun, Solgil Oh, Kenan Emir Ak, Gwang-Gook Lee, Yan Xu, Mingwei Shen, Kyomin Hwang, Wonsik Shin, Kamin Lee, Wonhark Park, Dongkwan Lee, Nojun Kwak, Yujin Wang, Yimu Wang, Tiancheng Gu, Xingchang Lv, Mingmao Sun:
NICE: CVPR 2023 Challenge on Zero-shot Image Captioning. CVPR Workshops 2024: 7356-7365 - [c122]Yumin Suh, Dongwan Kim, Abhishek Aich, Samuel Schulter, Jong-Chyi Su, Bohyung Han, Manmohan Chandraker:
Improving the Efficiency-Accuracy Trade-off of DETR-Style Models in Practice. CVPR Workshops 2024: 8027-8031 - [c121]Junoh Kang, Jinyoung Choi, Sungik Choi, Bohyung Han:
Observation-Guided Diffusion Probabilistic Models. CVPR 2024: 8323-8331 - [c120]Seonguk Seo, Jinkyu Kim, Geeho Kim, Bohyung Han:
Relaxed Contrastive Learning for Federated Learning. CVPR 2024: 12279-12288 - [c119]Geeho Kim, Jinkyu Kim, Bohyung Han:
Communication-Efficient Federated Learning with Accelerated Client Gradient. CVPR 2024: 12385-12394 - [c118]Minji Kim, Dongyoon Han, Taekyung Kim, Bohyung Han:
Leveraging Temporal Contextualization for Video Action Recognition. ECCV (21) 2024: 74-91 - [c117]Taehoon Kim, Bohyung Han:
Randomized Adversarial Style Perturbations for Domain Generalization. WACV 2024: 2306-2314 - [i74]Heewon Kim, Hyun Sung Chang, Kiho Cho, Jaeyun Lee
, Bohyung Han:
Learning with Noisy Labels: Interconnection of Two Expectation-Maximizations. CoRR abs/2401.04390 (2024) - [i73]Seonguk Seo, Jinkyu Kim, Geeho Kim, Bohyung Han:
Relaxed Contrastive Learning for Federated Learning. CoRR abs/2401.04928 (2024) - [i72]Myungseo Song, Jinyoung Choi, Bohyung Han:
A Training-Free Defense Framework for Robust Learned Image Compression. CoRR abs/2401.11902 (2024) - [i71]Minji Kim, Dongyoon Han, Taekyung Kim, Bohyung Han:
Leveraging Temporal Contextualization for Video Action Recognition. CoRR abs/2404.09490 (2024) - [i70]Jihwan Kim, Junoh Kang, Jinyoung Choi, Bohyung Han:
FIFO-Diffusion: Generating Infinite Videos from Text without Training. CoRR abs/2405.11473 (2024) - [i69]Seonguk Seo, Dongwan Kim, Bohyung Han:
Revisiting Machine Unlearning with Dimensional Alignment. CoRR abs/2407.17710 (2024) - [i68]Junsung Lee, Minsoo Kang, Bohyung Han:
Diffusion-Based Image-to-Image Translation by Noise Correction via Prompt Interpolation. CoRR abs/2409.08077 (2024) - 2023
- [j16]Jaeyoo Park, Junha Kim, Bohyung Han:
End-to-end learning for weakly supervised video anomaly detection using Absorbing Markov Chain. Comput. Vis. Image Underst. 236: 103798 (2023) - [c116]Jaeyoo Park, Bohyung Han:
Multi-Modal Representation Learning with Text-Driven Soft Masks. CVPR 2023: 2798-2807 - [c115]Geeho Kim, Junoh Kang, Bohyung Han:
Open-Set Representation Learning through Combinatorial Embedding. CVPR 2023: 19744-19753 - [c114]Dongwan Kim, Bohyung Han:
On the Stability-Plasticity Dilemma of Class-Incremental Learning. CVPR 2023: 20196-20204 - [c113]Minsoo Kang, Doyup Lee, Jiseob Kim, Saehoon Kim, Bohyung Han:
Variational Distribution Learning for Unsupervised Text-to-Image Generation. CVPR 2023: 23380-23389 - [c112]Jaehyup Jeong, Bosoung Jeoun, Yeonju Park, Bohyung Han:
An Optimized Ensemble Framework for Multi-Label Classification on Long-Tailed Chest X-ray Data. ICCV (Workshops) 2023: 2731-2738 - [c111]Hyunsoo Lee, Minsoo Kang, Bohyung Han:
Conditional Score Guidance for Text-Driven Image-to-Image Translation. NeurIPS 2023 - [c110]Tackgeun You, Mijeong Kim, Jungtaek Kim, Bohyung Han:
Generative Neural Fields by Mixtures of Neural Implicit Functions. NeurIPS 2023 - [c109]Zunzhi You, Daochang Liu, Bohyung Han, Chang Xu:
Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense. NeurIPS 2023 - [c108]Doosoo Chang, Bohyung Han:
Knowledge-based Visual Context-Aware Framework for Applications in Robotic Services. WACV (Workshops) 2023: 1-9 - [c107]Jong-Hyeon Seon, Jaedong Hwang, Jonghwan Mun, Bohyung Han:
Stop or Forward: Dynamic Layer Skipping for Efficient Action Recognition. WACV 2023: 3350-3359 - [i67]Seonguk Seo, Mustafa Gökhan Uzunbas, Bohyung Han, Sara Cao, Joena Zhang, Tai-Peng Tian, Ser-Nam Lim:
Online Backfilling with No Regret for Large-Scale Image Retrieval. CoRR abs/2301.03767 (2023) - [i66]Minsoo Kang, Hyewon Yoo, Eunhee Kang, Sehwan Ki, Hyong-Euk Lee, Bohyung Han:
Information-Theoretic GAN Compression with Variational Energy-based Model. CoRR abs/2303.16050 (2023) - [i65]Minsoo Kang, Doyup Lee, Jiseob Kim, Saehoon Kim, Bohyung Han:
Variational Distribution Learning for Unsupervised Text-to-Image Generation. CoRR abs/2303.16105 (2023) - [i64]Jaeyoo Park, Bohyung Han:
Multi-Modal Representation Learning with Text-Driven Soft Masks. CoRR abs/2304.00719 (2023) - [i63]Dongwan Kim, Bohyung Han:
On the Stability-Plasticity Dilemma of Class-Incremental Learning. CoRR abs/2304.01663 (2023) - [i62]Taehoon Kim, Jaeyoo Park, Bohyung Han:
Cross-Class Feature Augmentation for Class Incremental Learning. CoRR abs/2304.01899 (2023) - [i61]Taehoon Kim, Bohyung Han:
Randomized Adversarial Style Perturbations for Domain Generalization. CoRR abs/2304.01959 (2023) - [i60]Mijeong Kim, Hyunjoon Lee, Bohyung Han:
ContraNeRF: 3D-Aware Generative Model via Contrastive Learning with Unsupervised Implicit Pose Embedding. CoRR abs/2304.14005 (2023) - [i59]Hyunsoo Lee, Minsoo Kang, Bohyung Han:
Conditional Score Guidance for Text-Driven Image-to-Image Translation. CoRR abs/2305.18007 (2023) - [i58]Taehoon Kim, Pyunghwan Ahn, Sangyun Kim, Sihaeng Lee, Mark Marsden, Alessandra Sala, Seung Hwan Kim, Bohyung Han, Kyoung Mu Lee, Honglak Lee, Kyounghoon Bae, Xiangyu Wu, Yi Gao, Hailiang Zhang, Yang Yang, Weili Guo, Jianfeng Lu, Youngtaek Oh, Jae-Won Cho, Dong-Jin Kim, In So Kweon, Junmo Kim, Woo-Young Kang, Won Young Jhoo, Byungseok Roh, Jonghwan Mun, Solgil Oh, Kenan Emir Ak, Gwang-Gook Lee, Yan Xu, Mingwei Shen, Kyomin Hwang, Wonsik Shin, Kamin Lee, Wonhark Park, Dongkwan Lee, Nojun Kwak, Yujin Wang, Yimu Wang, Tiancheng Gu, Xingchang Lv, Mingmao Sun:
NICE: CVPR 2023 Challenge on Zero-shot Image Captioning. CoRR abs/2309.01961 (2023) - [i57]Junoh Kang, Jinyoung Choi, Sungik Choi, Bohyung Han:
Observation-Guided Diffusion Probabilistic Models. CoRR abs/2310.04041 (2023) - [i56]Tackgeun You, Mijeong Kim, Jungtaek Kim, Bohyung Han:
Generative Neural Fields by Mixtures of Neural Implicit Functions. CoRR abs/2310.19464 (2023) - 2022
- [j15]Heewon Kim, Seokil Hong, Bohyung Han, Heesoo Myeong, Kyoung Mu Lee:
Fine-grained neural architecture search for image super-resolution. J. Vis. Commun. Image Represent. 89: 103654 (2022) - [j14]Mijeong Kim, Sanghyeok Chu, Bohyung Han:
Beyond homography: nonparametric image alignment via graph convolutional networks. Mach. Vis. Appl. 33(6): 89 (2022) - [c106]Seonguk Seo, Joon-Young Lee, Bohyung Han:
Information-Theoretic Bias Reduction via Causal View of Spurious Correlation. AAAI 2022: 2180-2188 - [c105]Dong-Hwan Jang, Sanghyeok Chu, Joonhyuk Kim, Bohyung Han:
Pooling Revisited: Your Receptive Field is Suboptimal. CVPR 2022: 539-548 - [c104]Mijeong Kim, Seonguk Seo, Bohyung Han:
InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering. CVPR 2022: 12902-12911 - [c103]Minsoo Kang, Jaeyoo Park, Bohyung Han:
Class-Incremental Learning by Knowledge Distillation with Adaptive Feature Consolidation. CVPR 2022: 16050-16059 - [c102]Seonguk Seo, Joon-Young Lee, Bohyung Han:
Unsupervised Learning of Debiased Representations with Pseudo-Attributes. CVPR 2022: 16721-16730 - [c101]Minsu Ko, Eunju Cha, Sungjoo Suh, Huijin Lee, Jae-Joon Han, Jinwoo Shin, Bohyung Han:
Self-Supervised Dense Consistency Regularization for Image-to-Image Translation. CVPR 2022: 18280-18289 - [c100]Dongwan Kim, Yi-Hsuan Tsai, Yumin Suh, Masoud Faraki, Sparsh Garg, Manmohan Chandraker, Bohyung Han:
Learning Semantic Segmentation from Multiple Datasets with Label Shifts. ECCV (28) 2022: 20-36 - [c99]Minji Kim, Seungkwan Lee, Jungseul Ok, Bohyung Han, Minsu Cho:
Towards Sequence-Level Training for Visual Tracking. ECCV (22) 2022: 534-551 - [c98]Jinkyu Kim, Geeho Kim, Bohyung Han:
Multi-Level Branched Regularization for Federated Learning. ICML 2022: 11058-11073 - [c97]Ilchae Jung, Minji Kim, Eunhyeok Park, Bohyung Han:
Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking. IJCAI 2022: 1002-1008 - [c96]Jinyoung Choi, Bohyung Han:
MCL-GAN: Generative Adversarial Networks with Multiple Specialized Discriminators. NeurIPS 2022 - [c95]Minsoo Kang, Hyewon Yoo, Eunhee Kang, Sehwan Ki, Hyong-Euk Lee, Bohyung Han:
Information-Theoretic GAN Compression with Variational Energy-based Model. NeurIPS 2022 - [c94]Tackgeun You, Saehoon Kim, Chiheon Kim, Doyup Lee, Bohyung Han:
Locally Hierarchical Auto-Regressive Modeling for Image Generation. NeurIPS 2022 - [i55]Seonguk Seo, Joon-Young Lee, Bohyung Han:
Information-Theoretic Bias Reduction via Causal View of Spurious Correlation. CoRR abs/2201.03121 (2022) - [i54]Geeho Kim, Jinkyu Kim, Bohyung Han:
Communication-Efficient Federated Learning with Acceleration of Global Momentum. CoRR abs/2201.03172 (2022) - [i53]Dongwan Kim, Yi-Hsuan Tsai, Yumin Suh, Masoud Faraki, Sparsh Garg, Manmohan Chandraker, Bohyung Han:
Learning Semantic Segmentation from Multiple Datasets with Label Shifts. CoRR abs/2202.14030 (2022) - [i52]Jaeyoo Park, Junha Kim, Bohyung Han:
Learning to Adapt to Unseen Abnormal Activities under Weak Supervision. CoRR abs/2203.13610 (2022) - [i51]Jaeyoo Park, Minsoo Kang, Bohyung Han:
Class-Incremental Learning for Action Recognition in Videos. CoRR abs/2203.13611 (2022) - [i50]Minsoo Kang, Jaeyoo Park, Bohyung Han:
Class-Incremental Learning by Knowledge Distillation with Adaptive Feature Consolidation. CoRR abs/2204.00895 (2022) - [i49]Ilchae Jung, Minji Kim, Eunhyeok Park, Bohyung Han:
Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking. CoRR abs/2205.11179 (2022) - [i48]Dong-Hwan Jang, Sanghyeok Chu, Joonhyuk Kim, Bohyung Han:
Pooling Revisited: Your Receptive Field is Suboptimal. CoRR abs/2205.15254 (2022) - [i47]Jinkyu Kim, Geeho Kim, Bohyung Han:
Multi-Level Branched Regularization for Federated Learning. CoRR abs/2207.06936 (2022) - [i46]Minji Kim, Seungkwan Lee, Jungseul Ok, Bohyung Han, Minsu Cho:
Towards Sequence-Level Training for Visual Tracking. CoRR abs/2208.05810 (2022) - 2021
- [c93]Seungmin Lee, Dongwan Kim, Bohyung Han:
CoSMo: Content-Style Modulation for Image Retrieval With Text Feedback. CVPR 2021: 802-812 - [c92]Jaedong Hwang, Seoung Wug Oh, Joon-Young Lee, Bohyung Han:
Exemplar-Based Open-Set Panoptic Segmentation Network. CVPR 2021: 1175-1184 - [c91]Jaehyoung Yoo, Dongwook Lee, Changyong Son, Sangil Jung, ByungIn Yoo, Changkyu Choi, Jae-Joon Han, Bohyung Han:
RaScaNet: Learning Tiny Models by Raster-Scanning Images. CVPR 2021: 13673-13682 - [c90]Myungseo Song, Jinyoung Choi, Bohyung Han:
Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform. ICCV 2021: 2360-2369 - [c89]Jaeyoo Park, Minsoo Kang, Bohyung Han:
Class-Incremental Learning for Action Recognition in Videos. ICCV 2021: 13678-13687 - [c88]Sanghyeok Chu, Dongwan Kim, Bohyung Han:
Learning Debiased and Disentangled Representations for Semantic Segmentation. NeurIPS 2021: 8355-8366 - [c87]Dae Young Park, Moon-Hyun Cha, Changwook Jeong, Daesin Kim, Bohyung Han:
Learning Student-Friendly Teacher Networks for Knowledge Distillation. NeurIPS 2021: 13292-13303 - [c86]Jaedong Hwang, Seohyun Kim, Jeany Son, Bohyung Han:
Weakly Supervised Instance Segmentation by Deep Community Learning. WACV 2021: 1019-1028 - [e1]Imari Sato, Bohyung Han:
Computer Vision - ACCV 2020 Workshops - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers. Lecture Notes in Computer Science 12628, Springer 2021, ISBN 978-3-030-69755-6 [contents] - [i45]Dae Young Park, Moon-Hyun Cha, Changwook Jeong, Daesin Kim, Bohyung Han:
Learning Student-Friendly Teacher Networks for Knowledge Distillation. CoRR abs/2102.07650 (2021) - [i44]Jaedong Hwang, Seoung Wug Oh, Joon-Young Lee, Bohyung Han:
Exemplar-Based Open-Set Panoptic Segmentation Network. CoRR abs/2105.08336 (2021) - [i43]Geeho Kim, Bohyung Han:
Open-Set Representation Learning through Combinatorial Embedding. CoRR abs/2106.15278 (2021) - [i42]Jinyoung Choi, Bohyung Han:
MCL-GAN: Generative Adversarial Networks with Multiple Specialized Discriminators. CoRR abs/2107.07260 (2021) - [i41]Seonguk Seo, Joon-Young Lee, Bohyung Han:
Unsupervised Learning of Debiased Representations with Pseudo-Attributes. CoRR abs/2108.02943 (2021) - [i40]Myungseo Song, Jinyoung Choi, Bohyung Han:
Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform. CoRR abs/2108.09551 (2021) - [i39]Sanghyeok Chu, Dongwan Kim, Bohyung Han:
Learning Debiased and Disentangled Representations for Semantic Segmentation. CoRR abs/2111.00531 (2021) - [i38]Mijeong Kim, Seonguk Seo, Bohyung Han:
InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering. CoRR abs/2112.15399 (2021) - 2020
- [c85]Paul Hongsuck Seo, Piyush Sharma, Tomer Levinboim, Bohyung Han, Radu Soricut:
Reinforcing an Image Caption Generator Using Off-Line Human Feedback. AAAI 2020: 2693-2700 - [c84]Minsoo Kang, Jonghwan Mun, Bohyung Han:
Towards Oracle Knowledge Distillation with Neural Architecture Search. AAAI 2020: 4404-4411 - [c83]Myungsub Choi, Heewon Kim, Bohyung Han, Ning Xu, Kyoung Mu Lee:
Channel Attention Is All You Need for Video Frame Interpolation. AAAI 2020: 10663-10671 - [c82]Ilchae Jung, Kihyun You, Hyeonwoo Noh, Minsu Cho, Bohyung Han:
Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One-Shot Channel Pruning. AAAI 2020: 11205-11212 - [c81]Ruotian Luo, Ning Zhang, Bohyung Han, Linjie Yang:
Context-Aware Zero-Shot Recognition. AAAI 2020: 11709-11716 - [c80]Jaeyoo Park, Junha Kim, Bohyung Han:
Learning to Adapt to Unseen Abnormal Activities Under Weak Supervision. ACCV (5) 2020: 514-529 - [c79]Jonghwan Mun, Minsu Cho, Bohyung Han:
Local-Global Video-Text Interactions for Temporal Grounding. CVPR 2020: 10807-10816 - [c78]Seonguk Seo, Yumin Suh, Dongwan Kim, Geeho Kim, Jongwoo Han, Bohyung Han:
Learning to Optimize Domain Specific Normalization for Domain Generalization. ECCV (22) 2020: 68-83 - [c77]Seonguk Seo, Joon-Young Lee, Bohyung Han:
URVOS: Unified Referring Video Object Segmentation Network with a Large-Scale Benchmark. ECCV (15) 2020: 208-223 - [c76]Jin Young Choi, Bohyung Han:
Task-Aware Quantization Network for JPEG Image Compression. ECCV (20) 2020: 309-324 - [c75]Tackgeun You, Bohyung Han:
Traffic Accident Benchmark for Causality Recognition. ECCV (7) 2020: 540-556 - [c74]Heung-Chang Lee, Do-Guk Kim, Bohyung Han:
Efficient Decoupled Neural Architecture Search by Structure And Operation Sampling. ICASSP 2020: 4222-4226 - [c73]Minsoo Kang, Bohyung Han:
Operation-Aware Soft Channel Pruning using Differentiable Masks. ICML 2020: 5122-5131 - [c72]Seohyun Kim, Jaeyoo Park, Bohyung Han:
Rotation-Invariant Local-to-Global Representation Learning for 3D Point Cloud. NeurIPS 2020 - [i37]Seohyun Kim, Jaedong Hwang, Jeany Son, Bohyung Han:
Weakly Supervised Instance Segmentation by Deep Multi-Task Community Learning. CoRR abs/2001.11207 (2020) - [i36]Jonghwan Mun, Minsu Cho, Bohyung Han:
Local-Global Video-Text Interactions for Temporal Grounding. CoRR abs/2004.07514 (2020) - [i35]Minsoo Kang, Bohyung Han:
Operation-Aware Soft Channel Pruning using Differentiable Masks. CoRR abs/2007.03938 (2020) - [i34]Seohyun Kim, Jaeyoo Park, Bohyung Han:
Rotation-Invariant Local-to-Global Representation Learning for 3D Point Cloud. CoRR abs/2010.03318 (2020)
2010 – 2019
- 2019
- [c71]Wonpyo Park, Paul Hongsuck Seo, Bohyung Han, Minsu Cho:
Regularizing Neural Networks via Stochastic Branch Layers. ACML 2019: 678-693 - [c70]Jonghwan Mun, Linjie Yang, Zhou Ren, Ning Xu, Bohyung Han:
Streamlined Dense Video Captioning. CVPR 2019: 6588-6597 - [c69]Yumin Suh, Bohyung Han, Wonsik Kim, Kyoung Mu Lee:
Stochastic Class-Based Hard Example Mining for Deep Metric Learning. CVPR 2019: 7251-7259 - [c68]Woong-Gi Chang, Tackgeun You, Seonguk Seo, Suha Kwak, Bohyung Han:
Domain-Specific Batch Normalization for Unsupervised Domain Adaptation. CVPR 2019: 7354-7362 - [c67]Hyeonwoo Noh, Taehoon Kim, Jonghwan Mun, Bohyung Han:
Transfer Learning via Unsupervised Task Discovery for Visual Question Answering. CVPR 2019: 8385-8394 - [c66]Seonguk Seo, Paul Hongsuck Seo, Bohyung Han:
Learning for Single-Shot Confidence Calibration in Deep Neural Networks Through Stochastic Inferences. CVPR 2019: 9030-9038 - [c65]Dongmin Park, Seokil Hong, Bohyung Han, Kyoung Mu Lee:
Continual Learning by Asymmetric Loss Approximation With Single-Side Overestimation. ICCV 2019: 3334-3343 - [c64]Seungjun Nah, Heewon Kim, Bohyung Han, Ning Xu, Bumjun Park, Songhyun Yu, Sangmin Kim, Jechang Jeong, Wang Shen, Wenbo Bao, Guangtao Zhai, Sanghyun Son, Li Chen, Zhiyong Gao, Guannan Chen, Yunhua Lu, Ran Duan, Tong Liu, Lijie Zhang, Woon-Sung Park, Munchurl Kim, George Pisha, Radu Timofte, Eyal Naor, Lior Aloni, Kyoung Mu Lee, Li Siyao, Ze Pan, Xiangyu Xu, Wenxiu Sun, Myungsub Choi:
AIM 2019 Challenge on Video Temporal Super-Resolution: Methods and Results. ICCV Workshops 2019: 3388-3398 - [c63]Paul Hongsuck Seo, Geeho Kim, Bohyung Han:
Combinatorial Inference against Label Noise. NeurIPS 2019: 1171-1181 - [i33]Jonghwan Mun, Linjie Yang, Zhou Ren, Ning Xu, Bohyung Han:
Streamlined Dense Video Captioning. CoRR abs/1904.03870 (2019) - [i32]Ruotian Luo, Ning Zhang, Bohyung Han, Linjie Yang:
Context-Aware Zero-Shot Recognition. CoRR abs/1904.09320 (2019) - [i31]Woong-Gi Chang, Tackgeun You, Seonguk Seo, Suha Kwak, Bohyung Han:
Domain-Specific Batch Normalization for Unsupervised Domain Adaptation. CoRR abs/1906.03950 (2019) - [i30]Seonguk Seo, Yumin Suh, Dongwan Kim, Jongwoo Han, Bohyung Han:
Learning to Optimize Domain Specific Normalization for Domain Generalization. CoRR abs/1907.04275 (2019) - [i29]Dongmin Park, Seokil Hong, Bohyung Han, Kyoung Mu Lee:
Continual Learning by Asymmetric Loss Approximation with Single-Side Overestimation. CoRR abs/1908.02984 (2019) - [i28]Wonpyo Park, Paul Hongsuck Seo, Bohyung Han, Minsu Cho:
Regularizing Neural Networks via Stochastic Branch Layers. CoRR abs/1910.01467 (2019) - [i27]Heung-Chang Lee, Do-Guk Kim, Bohyung Han:
Efficient Decoupled Neural Architecture Search by Structure and Operation Sampling. CoRR abs/1910.10397 (2019) - [i26]Heewon Kim, Seokil Hong, Bohyung Han, Heesoo Myeong, Kyoung Mu Lee:
Fine-Grained Neural Architecture Search. CoRR abs/1911.07478 (2019) - [i25]