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2020 – today
- 2025
[j60]Jaehyuk Jang, Yooseung Wang, Changick Kim:
FCGNet: Foreground and Class Guided Network for human parsing. Pattern Recognit. 157: 110879 (2025)- 2024
- [j59]Byeongjun Park
, Hyojun Go, Changick Kim:
Bridging Implicit and Explicit Geometric Transformation for Single-Image View Synthesis. IEEE Trans. Pattern Anal. Mach. Intell. 46(9): 6326-6340 (2024) - [j58]Yooseung Wang, Jaehyuk Jang, Changick Kim:
Subdivided Mask Dispersion Framework for semi-supervised semantic segmentation. Pattern Recognit. Lett. 179: 58-64 (2024) - [c98]Jaehyuk Jang, Yooseung Wang, Changick Kim:
Towards Robust Multimodal Prompting with Missing Modalities. ICASSP 2024: 8070-8074 - [c97]Byeongjun Park, Sangmin Woo, Hyojun Go, Jin-Young Kim, Changick Kim:
Denoising Task Routing for Diffusion Models. ICLR 2024 - [c96]Byeongjun Park, Changick Kim:
Point-DynRF: Point-based Dynamic Radiance Fields from a Monocular Video. WACV 2024: 3159-3169 - [c95]Sangmin Woo, So-Yeong Jeon, Jinyoung Park, Minji Son, Sumin Lee, Changick Kim:
Sketch-based Video Object Localization. WACV 2024: 8465-8474 - [i63]Byeongjun Park, Hyojun Go, Jin-Young Kim, Sangmin Woo, Seokil Ham, Changick Kim:
Switch Diffusion Transformer: Synergizing Denoising Tasks with Sparse Mixture-of-Experts. CoRR abs/2403.09176 (2024) - [i62]Sumin Lee, Yooseung Wang, Sangmin Woo, Changick Kim:
Spatio-Temporal Proximity-Aware Dual-Path Model for Panoramic Activity Recognition. CoRR abs/2403.14113 (2024) - [i61]Sangmin Woo, Donguk Kim, Jaehyuk Jang, Yubin Choi, Changick Kim:
Don't Miss the Forest for the Trees: Attentional Vision Calibration for Large Vision Language Models. CoRR abs/2405.17820 (2024) - [i60]Sangmin Woo, Jaehyuk Jang, Donguk Kim, Yubin Choi, Changick Kim:
RITUAL: Random Image Transformations as a Universal Anti-hallucination Lever in LVLMs. CoRR abs/2405.17821 (2024) - [i59]Seokil Ham, Sangmin Woo, Jin-Young Kim, Hyojun Go, Byeongjun Park, Changick Kim:
Diffusion Model Patching via Mixture-of-Prompts. CoRR abs/2405.17825 (2024) - [i58]Muhammad Adi Nugroho, Sangmin Woo, Sumin Lee, Jinyoung Park, Yooseung Wang, Donguk Kim, Changick Kim:
Flow-Assisted Motion Learning Network for Weakly-Supervised Group Activity Recognition. CoRR abs/2405.18012 (2024) - [i57]Jinyoung Park, Heeseon Kim, Kangwook Ko, Minbeom Kim, Changick Kim:
VideoMamba: Spatio-Temporal Selective State Space Model. CoRR abs/2407.08476 (2024) - 2023
- [j57]Jubi Hwang, Kyujin Shim, Kangwook Ko, Namkoo Ha, Changick Kim:
Robust Multi-Object Tracking With Local Appearance and Stable Motion Models. IEEE Access 11: 77023-77033 (2023) - [j56]Kyujin Shim, Kangwook Ko, Jubi Hwang, Hyunsung Jang, Changick Kim:
Fast online multi-target multi-camera tracking for vehicles. Appl. Intell. 53(23): 28994-29004 (2023) - [j55]Yeonju Park, Sangmin Woo, Sumin Lee, Muhammad Adi Nugroho, Changick Kim:
Cross-modal alignment and translation for missing modality action recognition. Comput. Vis. Image Underst. 236: 103805 (2023) - [j54]Sumin Lee, Hyunjun Eun, Jinyoung Moon, Seokeon Choi, Yoonhyung Kim, Chanho Jung, Changick Kim:
Learning to Discriminate Information for Online Action Detection: Analysis and Application. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5918-5934 (2023) - [c94]Sangmin Woo, Sumin Lee, Yeonju Park, Muhammad Adi Nugroho, Changick Kim:
Towards Good Practices for Missing Modality Robust Action Recognition. AAAI 2023: 2776-2784 - [c93]Taekyung Kim, Debasmit Das, Seokeon Choi, Minki Jeong, Seunghan Yang, Sungrack Yun, Changick Kim:
Neural Transformation Network to Generate Diverse Views for Contrastive Learning. CVPR Workshops 2023: 4901-4911 - [c92]Junyoung Byun, Myung-Joon Kwon, Seungju Cho, Yoonji Kim, Changick Kim:
Introducing Competition to Boost the Transferability of Targeted Adversarial Examples Through Clean Feature Mixup. CVPR 2023: 24648-24657 - [c91]Youngjun Kwak, Minyoung Jung, Hunjae Yoo, Jinho Shin, Changick Kim:
Liveness Score-Based Regression Neural Networks for Face Anti-Spoofing. ICASSP 2023: 1-5 - [c90]Heeseon Kim, Minji Son, Minbeom Kim, Myung-Joon Kwon, Changick Kim:
Breaking Temporal Consistency: Generating Video Universal Adversarial Perturbations Using Image Models. ICCV 2023: 4302-4311 - [c89]Hansol Kim, Youngjun Kwak, Minyoung Jung, Jinho Shin, Youngsung Kim, Changick Kim:
ProtoFL: Unsupervised Federated Learning via Prototypical Distillation. ICCV 2023: 6447-6456 - [c88]Muhammad Adi Nugroho, Sangmin Woo, Sumin Lee, Changick Kim:
Audio-Visual Glance Network for Efficient Video Recognition. ICCV 2023: 10116-10125 - [c87]Inyong Koo, Inyoung Lee, Se-Ho Kim, Heeseon Kim, Woo-Jin Jeon, Changick Kim:
PG-RCNN: Semantic Surface Point Generation for 3D Object Detection. ICCV 2023: 18096-18105 - [c86]Rishabh Tiwari, Arnav Chavan, Deepak K. Gupta, Gowreesh Mago, Animesh Gupta, Akash Gupta, Suraj Sharan, Yukun Yang, Shanwei Zhao, Shihao Wang, Youngjun Kwak, Seonghun Jeong, Yunseung Lee, Changick Kim, Subin Kim, Ganzorig Gankhuyag, Ho Jung, Junwhan Ryu, HaeMoon Kim, Byeong Hak Kim, Tu Vo, Sheir Zaheer, Alexander Holston, Chan Y. Park, Dheemant Dixit, Nahush Lele, Kushagra Bhushan, Debjani Bhowmick, Devanshu Arya, Sadaf Gulshad, Amirhossein Habibian, Amir Ghodrati, Babak Ehteshami Bejnordi, Jai Gupta, Zhuang Liu, Jiahui Yu, Dilip K. Prasad, Zhiqiang Shen:
RCV2023 Challenges: Benchmarking Model Training and Inference for Resource-Constrained Deep Learning. ICCV (Workshops) 2023: 1526-1535 - [c85]Yoonji Kim, Seungju Cho, Junyoung Byun, Myung-Joon Kwon, Changick Kim:
Improving Adversarial Transferability Via Feature Translation. ICIP 2023: 3359-3363 - [c84]Donguk Kim, Sumin Lee, Sangmin Woo, Jinyoung Park, Muhammad Adi Nugroho, Changick Kim:
Multi-modal Social Group Activity Recognition in Panoramic Scene. VCIP 2023: 1-5 - [c83]Muhammad Adi Nugroho, Sangmin Woo, Sumin Lee, Changick Kim:
AHFu-Net: Align, Hallucinate, and Fuse Network for Missing Multimodal Action Recognition. VCIP 2023: 1-5 - [c82]Yooseung Wang, Jaehyuk Jang, Changick Kim:
Noise-Augmented Missing Modality Aware Prompt Based Learning for Robust Visual Recognition. VCIP 2023: 1-4 - [c81]Sumin Lee, Sangmin Woo, Yeonju Park, Muhammad Adi Nugroho, Changick Kim:
Modality Mixer for Multi-modal Action Recognition. WACV 2023: 3297-3306 - [d1]Kangwook Ko, Kyujin Shim, Kangil Lee, Changick Kim:
Uncooled Infrared Image Deblurring. IEEE DataPort, 2023
- [i56]Youngjun Kwak, Minyoung Jung, Hunjae Yoo, Jinho Shin, Changick Kim:
Liveness score-based regression neural networks for face anti-spoofing. CoRR abs/2302.09461 (2023) - [i55]Sangmin Woo, So-Yeong Jeon, Jinyoung Park, Minji Son, Sumin Lee, Changick Kim:
Sketch-based Video Object Localization. CoRR abs/2304.00450 (2023) - [i54]Junyoung Byun, Myung-Joon Kwon, Seungju Cho, Yoonji Kim, Changick Kim:
Introducing Competition to Boost the Transferability of Targeted Adversarial Examples through Clean Feature Mixup. CoRR abs/2305.14846 (2023) - [i53]Hansol Kim, Youngjun Kwak, Minyoung Jung, Jinho Shin, Youngsung Kim, Changick Kim:
ProtoFL: Unsupervised Federated Learning via Prototypical Distillation. CoRR abs/2307.12450 (2023) - [i52]Inyong Koo, Inyoung Lee, Se-Ho Kim, Heeseon Kim, Woo-Jin Jeon, Changick Kim:
PG-RCNN: Semantic Surface Point Generation for 3D Object Detection. CoRR abs/2307.12637 (2023) - [i51]Muhammad Adi Nugroho, Sangmin Woo, Sumin Lee, Changick Kim:
Audio-Visual Glance Network for Efficient Video Recognition. CoRR abs/2308.09322 (2023) - [i50]Byeongjun Park, Sangmin Woo, Hyojun Go, Jin-Young Kim, Changick Kim:
Denoising Task Routing for Diffusion Models. CoRR abs/2310.07138 (2023) - [i49]Byeongjun Park, Changick Kim:
Point-DynRF: Point-based Dynamic Radiance Fields from a Monocular Video. CoRR abs/2310.09647 (2023) - [i48]Se-Ho Kim, Inyong Koo, Inyoung Lee, Byeongjun Park, Changick Kim:
DiffRef3D: A Diffusion-based Proposal Refinement Framework for 3D Object Detection. CoRR abs/2310.16349 (2023) - [i47]Heeseon Kim, Minji Son, Minbeom Kim, Myung-Joon Kwon, Changick Kim:
Breaking Temporal Consistency: Generating Video Universal Adversarial Perturbations Using Image Models. CoRR abs/2311.10366 (2023) - [i46]Youngjun Kwak, Seonghun Jeong, Yunseung Lee, Changick Kim:
1st Place in ICCV 2023 Workshop Challenge Track 1 on Resource Efficient Deep Learning for Computer Vision: Budgeted Model Training Challenge. CoRR abs/2311.11470 (2023) - [i45]Sumin Lee, Sangmin Woo, Muhammad Adi Nugroho, Changick Kim:
Modality Mixer Exploiting Complementary Information for Multi-modal Action Recognition. CoRR abs/2311.12344 (2023) - [i44]Hongsin Lee, Seungju Cho, Changick Kim:
Indirect Gradient Matching for Adversarial Robust Distillation. CoRR abs/2312.03286 (2023) - [i43]Seungju Cho, Hongsin Lee, Changick Kim:
Class Incremental Learning for Adversarial Robustness. CoRR abs/2312.03289 (2023) - [i42]Jaehyuk Jang, Yooseung Wang, Changick Kim:
Towards Robust Multimodal Prompting With Missing Modalities. CoRR abs/2312.15890 (2023) - [i41]Sangmin Woo, Byeongjun Park, Hyojun Go, Jin-Young Kim, Changick Kim:
HarmonyView: Harmonizing Consistency and Diversity in One-Image-to-3D. CoRR abs/2312.15980 (2023) - 2022
- [j53]Seunghan Yang, Hyoungseob Park, Junyoung Byun, Changick Kim:
Robust Federated Learning With Noisy Labels. IEEE Intell. Syst. 37(2): 35-43 (2022) - [j52]Myung-Joon Kwon, Seung-Hun Nam, In-Jae Yu, Heung-Kyu Lee, Changick Kim:
Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization. Int. J. Comput. Vis. 130(8): 1875-1895 (2022) - [j51]Kangil Lee, Yuseok Ban, Changick Kim:
Motion Blur Kernel Rendering Using an Inertial Sensor: Interpreting the Mechanism of a Thermal Detector. Sensors 22(5): 1893 (2022) - [c80]Junyoung Byun, Seungju Cho, Myung-Joon Kwon, Heeseon Kim, Changick Kim:
Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input. CVPR 2022: 15223-15232 - [c79]Junyoung Byun, Kyujin Shim, Hyojun Go, Changick Kim:
Hidden Conditional Adversarial Attacks. ICIP 2022: 1306-1310 - [c78]Junyoung Byun, Hyojun Go, Seungju Cho, Changick Kim:
Exploiting Doubly Adversarial Examples for Improving Adversarial Robustness. ICIP 2022: 1331-1335 - [c77]Jeongsoo Kim, Sangmin Woo, Byeongjun Park, Changick Kim:
Temporal Flow Mask Attention for Open-Set Long-Tailed Recognition of Wild Animals in Camera-Trap Images. ICIP 2022: 2152-2156 - [c76]Seungju Cho, Junyoung Byun, Myung-Joon Kwon, Yoonji Kim, Changick Kim:
Adversarial Training with Channel Attention Regularization. ICIP 2022: 2996-3000 - [c75]Minji Son, Myung-Joon Kwon, Heeseon Kim, Junyoung Byun, Seungju Cho, Changick Kim:
Adaptive Warping Network for Transferable Adversarial Attacks. ICIP 2022: 3056-3060 - [c74]Kibum Yun, Kyujin Shim, Kangwook Ko, Changick Kim:
Dynamic Template Update for Visual Object Tracking. ICIP 2022: 3111-3115 - [c73]Jinyoung Park, Minseok Son, Sumin Lee, Changick Kim:
DAT: Domain Adaptive Transformer for Domain Adaptive Semantic Segmentation. ICIP 2022: 4183-4187 - [c72]Sangwoo Seo, Seungjun Jung, Changick Kim:
Explanation-based Graph Neural Networks for Graph Classification. ICPR 2022: 2836-2842 - [c71]Junyoung Byun, Hyojun Go, Changick Kim:
Geometrically Adaptive Dictionary Attack on Face Recognition. WACV 2022: 3809-3818 - [c70]Junyoung Byun, Hyojun Go, Changick Kim:
On the Effectiveness of Small Input Noise for Defending Against Query-based Black-Box Attacks. WACV 2022: 3819-3828 - [i40]Sangmin Woo, Jinyoung Park, Inyong Koo, Sumin Lee, Minki Jeong, Changick Kim:
Explore and Match: End-to-End Video Grounding with Transformer. CoRR abs/2201.10168 (2022) - [i39]Byeongjun Park, Jeongsoo Kim, Seungju Cho, Heeseon Kim, Changick Kim:
Balancing Domain Experts for Long-Tailed Camera-Trap Recognition. CoRR abs/2202.07215 (2022) - [i38]Minji Lee, Inyong Koo, Kangwook Ko, Changick Kim:
Multi-image Super-resolution via Quality Map Associated Temporal Attention Network. CoRR abs/2202.13124 (2022) - [i37]Junyoung Byun, Seungju Cho, Myung-Joon Kwon, Heeseon Kim, Changick Kim:
Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input. CoRR abs/2203.09123 (2022) - [i36]Sumin Lee, Sangmin Woo, Yeonju Park, Muhammad Adi Nugroho, Changick Kim:
Modality Mixer for Multi-modal Action Recognition. CoRR abs/2208.11314 (2022) - [i35]Jeongsoo Kim, Sangmin Woo, Byeongjun Park, Changick Kim:
Temporal Flow Mask Attention for Open-Set Long-Tailed Recognition of Wild Animals in Camera-Trap Images. CoRR abs/2208.14625 (2022) - [i34]Byeongjun Park, Hyojun Go, Changick Kim:
Bridging Implicit and Explicit Geometric Transformations for Single-Image View Synthesis. CoRR abs/2209.07105 (2022) - [i33]Minki Jeong, Changick Kim:
Supervised Contrastive Learning on Blended Images for Long-tailed Recognition. CoRR abs/2211.11938 (2022) - [i32]Sangmin Woo, Sumin Lee, Yeonju Park, Muhammad Adi Nugroho, Changick Kim:
Towards Good Practices for Missing Modality Robust Action Recognition. CoRR abs/2211.13916 (2022) - [i31]Jinyoung Park, Minseok Son, Seungju Cho, Inyoung Lee, Changick Kim:
RainUNet for Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts. CoRR abs/2212.04005 (2022) - 2021
- [j50]Hyunjun Eun, Jinyoung Moon, Jongyoul Park, Chanho Jung, Changick Kim:
Temporal filtering networks for online action detection. Pattern Recognit. 111: 107695 (2021) - [c69]Sangbum Choi, Seokeon Choi, Changick Kim:
MobileHumanPose: Toward Real-Time 3D Human Pose Estimation in Mobile Devices. CVPR Workshops 2021: 2328-2338 - [c68]Seokeon Choi, Taekyung Kim, Minki Jeong, Hyoungseob Park, Changick Kim:
Meta Batch-Instance Normalization for Generalizable Person Re-Identification. CVPR 2021: 3425-3435 - [c67]Kyujin Shim, Sungjoon Yoon, Kangwook Ko, Changick Kim:
Multi-Target Multi-Camera Vehicle Tracking for City-Scale Traffic Management. CVPR Workshops 2021: 4193-4200 - [c66]Minki Jeong, Seokeon Choi, Changick Kim:
Few-Shot Open-Set Recognition by Transformation Consistency. CVPR 2021: 12566-12575 - [c65]Taekyung Kim, Jaehoon Choi, Seokeon Choi, Dongki Jung, Changick Kim:
Just a Few Points are All You Need for Multi-view Stereo: A Novel Semi-supervised Learning Method for Multi-view Stereo. ICCV 2021: 6158-6166 - [c64]Dongki Jung, Jaehoon Choi, Yonghan Lee, Deokhwa Kim, Changick Kim, Dinesh Manocha, Donghwan Lee:
DnD: Dense Depth Estimation in Crowded Dynamic Indoor Scenes. ICCV 2021: 12777-12787 - [c63]Hyojun Go, Junyoung Byun, Changick Kim:
Rethinking Training Schedules For Verifiably Robust Networks. ICIP 2021: 464-468 - [c62]Hyojun Go, Junyoung Byun, Byeongjun Park, Myung-Ae Choi, Seunghwa Yoo, Changick Kim:
Fine-Grained Multi-Class Object Counting. ICIP 2021: 509-513 - [c61]Minki Jeong, Changick Kim:
A Parameter Efficient Multi-Scale Capsule Network. ICIP 2021: 739-743 - [c60]Sungjoon Yoon, Kyujin Shim, Kayoung Park, Changick Kim:
Weakly-Supervised Multiple Object Tracking Via A Masked Center Point Warping Loss. ICIP 2021: 1164-1168 - [c59]Seungjun Jung, Junyoung Byun, Kyujin Shim, Sanghyun Hwang, Changick Kim:
Understanding Vqa For Negative Answers Through Visual And Linguistic Inference. ICIP 2021: 2873-2877 - [c58]Aleksandra Gruca, Federico Serva, Llorenç Lliso, Pilar Rípodas, Xavier Calbet, Pedro Herruzo, Jirí Pihrt, Rudolf Raevskiy, Petr Simánek, Matej Choma, Yang Li, Haiyu Dong, Yury Belousov, Sergey Polezhaev, Brian Pulfer, Minseok Seo, Doyi Kim, Seungheon Shin, Eunbin Kim, Sewoong Ahn, Yeji Choi, Jinyoung Park, Minseok Son, Seungju Cho, Inyoung Lee, Changick Kim, Taehyeon Kim, Shinhwan Kang, Hyeonjeong Shin, Deukryeol Yoon, Seongha Eom, Kijung Shin, Se-Young Yun, Bertrand Le Saux, Michael K. Kopp, Sepp Hochreiter, David P. Kreil:
Weather4cast at NeurIPS 2022: Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts. NeurIPS (Competition and Demos) 2021: 292-313 - [i30]Junyoung Byun, Hyojun Go, Changick Kim:
Small Input Noise is Enough to Defend Against Query-based Black-box Attacks. CoRR abs/2101.04829 (2021) - [i29]Minki Jeong, Seokeon Choi, Changick Kim:
Few-shot Open-set Recognition by Transformation Consistency. CoRR abs/2103.01537 (2021) - [i28]Yoonhyung Kim, Changick Kim:
Semi-Supervised Domain Adaptation via Selective Pseudo Labeling and Progressive Self-Training. CoRR abs/2104.00319 (2021) - [i27]Inyong Koo, Minki Jeong, Changick Kim:
Improving Few-shot Learning with Weakly-supervised Object Localization. CoRR abs/2105.11715 (2021) - [i26]Dongki Jung, Jaehoon Choi, Yonghan Lee, Deokhwa Kim, Changick Kim, Dinesh Manocha, Donghwan Lee:
DnD: Dense Depth Estimation in Crowded Dynamic Indoor Scenes. CoRR abs/2108.05615 (2021) - [i25]Myung-Joon Kwon, Seung-Hun Nam, In-Jae Yu, Heung-Kyu Lee, Changick Kim:
Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization. CoRR abs/2108.12947 (2021) - [i24]Sumin Lee, Hyunjun Eun, Jinyoung Moon, Seokeon Choi, Yoonhyung Kim, Chanho Jung, Changick Kim:
Learning to Discriminate Information for Online Action Detection: Analysis and Application. CoRR abs/2109.03393 (2021) - [i23]Byeongjun Park, Taekyung Kim, Hyojun Go, Changick Kim:
Residual-Guided Learning Representation for Self-Supervised Monocular Depth Estimation. CoRR abs/2111.04310 (2021) - [i22]Junyoung Byun, Hyojun Go, Changick Kim:
Geometrically Adaptive Dictionary Attack on Face Recognition. CoRR abs/2111.04371 (2021) - 2020
- [j49]Jonghee Kim, Chanho Jung, Changick Kim:
Dual Back-Projection-Based Internal Learning for Blind Super-Resolution. IEEE Signal Process. Lett. 27: 1190-1194 (2020) - [j48]Hyunjun Eun, Sumin Lee, Jinyoung Moon, Jongyoul Park, Chanho Jung, Changick Kim:
SRG: Snippet Relatedness-Based Temporal Action Proposal Generator. IEEE Trans. Circuits Syst. Video Technol. 30(11): 4232-4244 (2020) - [j47]Hyukzae Lee, Chanho Jung, Changick Kim:
Blind Deblurring of Text Images Using a Text-Specific Hybrid Dictionary. IEEE Trans. Image Process. 29: 710-723 (2020) - [c57]Hyunjun Eun, Jinyoung Moon, Jongyoul Park, Chanho Jung, Changick Kim:
Learning to Discriminate Information for Online Action Detection. CVPR 2020: 806-815 - [c56]Seokeon Choi, Sumin Lee, Youngeun Kim, Taekyung Kim, Changick Kim:
Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification. CVPR 2020: 10254-10263 - [c55]Taekyung Kim, Changick Kim:
Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation. ECCV (14) 2020: 591-607 - [c54]Kyujin Shim, Junyoung Byun, Changick Kim:
Multi-Step Quantization Of A Multi-Scale Network For Crowd Counting. ICIP 2020: 683-687 - [c53]Dongki Jung, Seunghan Yang, Jaehoon Choi, Changick Kim:
Arbitrary Style Transfer Using Graph Instance Normalization. ICIP 2020: 1596-1600 - [c52]Hyoungseob Park, Minki Jeong, Youngeun Kim, Changick Kim:
Self-Training Of Graph Neural Networks Using Similarity Reference For Robust Training With Noisy Labels. ICIP 2020: 1951-1955 - [c51]Juri Jung, Jonghee Kim, Youngeun Kim, Changick Kim:
Reinforcement Learning-Based Layer-Wise Quantization For Lightweight Deep Neural Networks. ICIP 2020: 3070-3074 - [c50]Yoonhyung Kim, Changick Kim:
Semi-Supervised Domain Adaptation via Selective Pseudo Labeling and Progressive Self-Training. ICPR 2020: 1059-1066 - [c49]Seunghan Yang, Seungjun Jung, Heekwang Kang, Changick Kim:
The Korean Sign Language Dataset for Action Recognition. MMM (1) 2020: 532-542 - [c48]Youngeun Kim, Seokeon Choi, Hankyeol Lee, Taekyung Kim, Changick Kim:
RPM-Net: Robust Pixel-Level Matching Networks for Self-Supervised Video Object Segmentation. WACV 2020: 2046-2054 - [c47]Seunghan Yang, Yoonhyung Kim, Youngeun Kim, Changick Kim:
Combinational Class Activation Maps for Weakly Supervised Object Localization. WACV 2020: 2930-2938 - [i21]Hyunjun Eun, Daeyeong Kim, Chanho Jung, Changick Kim:
Single-view 2D CNNs with Fully Automatic Non-nodule Categorization for False Positive Reduction in Pulmonary Nodule Detection. CoRR abs/2003.04454 (2020) - [i20]Seunghan Yang, Youngeun Kim, Dongki Jung, Changick Kim:
Partial Domain Adaptation Using Graph Convolutional Networks. CoRR abs/2005.07858 (2020) - [i19]Taekyung Kim, Changick Kim:
Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation. CoRR abs/2007.09375 (2020) - [i18]Dongki Jung, Seunghan Yang, Jaehoon Choi, Changick Kim:
Arbitrary Style Transfer using Graph Instance Normalization. CoRR abs/2010.02560 (2020) - [i17]