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2020 – today
- 2023
[j55]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)- [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) - [c83]Sangmin Woo, Sumin Lee, Yeonju Park, Muhammad Adi Nugroho, Changick Kim:
Towards Good Practices for Missing Modality Robust Action Recognition. AAAI 2023: 2776-2784 - [c82]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 - [c81]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 - [c80]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
- [i46]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) - [i45]Sangmin Woo, So-Yeong Jeon, Jinyoung Park, Minji Son, Sumin Lee, Changick Kim:
Sketch-based Video Object Localization. CoRR abs/2304.00450 (2023) - [i44]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) - [i43]Hansol Kim, Youngjun Kwak, Minyoung Jung, Jinho Shin, Youngsung Kim, Changick Kim:
ProtoFL: Unsupervised Federated Learning via Prototypical Distillation. CoRR abs/2307.12450 (2023) - [i42]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) - [i41]Muhammad Adi Nugroho, Sangmin Woo, Sumin Lee, Changick Kim:
Audio-Visual Glance Network for Efficient Video Recognition. CoRR abs/2308.09322 (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) - [c79]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 - [c78]Junyoung Byun, Kyujin Shim, Hyojun Go, Changick Kim:
Hidden Conditional Adversarial Attacks. ICIP 2022: 1306-1310 - [c77]Junyoung Byun, Hyojun Go, Seungju Cho, Changick Kim:
Exploiting Doubly Adversarial Examples for Improving Adversarial Robustness. ICIP 2022: 1331-1335 - [c76]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 - [c75]Seungju Cho, Junyoung Byun, Myung-Joon Kwon, Yoonji Kim, Changick Kim:
Adversarial Training with Channel Attention Regularization. ICIP 2022: 2996-3000 - [c74]Minji Son, Myung-Joon Kwon, Heeseon Kim, Junyoung Byun, Seungju Cho, Changick Kim:
Adaptive Warping Network for Transferable Adversarial Attacks. ICIP 2022: 3056-3060 - [c73]Kibum Yun, Kyujin Shim, Kangwook Ko, Changick Kim:
Dynamic Template Update for Visual Object Tracking. ICIP 2022: 3111-3115 - [c72]Jinyoung Park, Minseok Son, Sumin Lee, Changick Kim:
DAT: Domain Adaptive Transformer for Domain Adaptive Semantic Segmentation. ICIP 2022: 4183-4187 - [c71]Sangwoo Seo, Seungjun Jung, Changick Kim:
Explanation-based Graph Neural Networks for Graph Classification. ICPR 2022: 2836-2842 - [c70]Junyoung Byun, Hyojun Go, Changick Kim:
Geometrically Adaptive Dictionary Attack on Face Recognition. WACV 2022: 3809-3818 - [c69]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) - [c68]Sangbum Choi, Seokeon Choi, Changick Kim:
MobileHumanPose: Toward Real-Time 3D Human Pose Estimation in Mobile Devices. CVPR Workshops 2021: 2328-2338 - [c67]Seokeon Choi, Taekyung Kim, Minki Jeong, Hyoungseob Park, Changick Kim:
Meta Batch-Instance Normalization for Generalizable Person Re-Identification. CVPR 2021: 3425-3435 - [c66]Kyujin Shim, Sungjoon Yoon, Kangwook Ko, Changick Kim:
Multi-Target Multi-Camera Vehicle Tracking for City-Scale Traffic Management. CVPR Workshops 2021: 4193-4200 - [c65]Minki Jeong, Seokeon Choi, Changick Kim:
Few-Shot Open-Set Recognition by Transformation Consistency. CVPR 2021: 12566-12575 - [c64]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 - [c63]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 - [c62]Hyojun Go, Junyoung Byun, Changick Kim:
Rethinking Training Schedules For Verifiably Robust Networks. ICIP 2021: 464-468 - [c61]Hyojun Go, Junyoung Byun, Byeongjun Park, Myung-Ae Choi, Seunghwa Yoo, Changick Kim:
Fine-Grained Multi-Class Object Counting. ICIP 2021: 509-513 - [c60]Minki Jeong, Changick Kim:
A Parameter Efficient Multi-Scale Capsule Network. ICIP 2021: 739-743 - [c59]Sungjoon Yoon, Kyujin Shim, Kayoung Park, Changick Kim:
Weakly-Supervised Multiple Object Tracking Via A Masked Center Point Warping Loss. ICIP 2021: 1164-1168 - [c58]Seungjun Jung, Junyoung Byun, Kyujin Shim, Sanghyun Hwang, Changick Kim:
Understanding Vqa For Negative Answers Through Visual And Linguistic Inference. ICIP 2021: 2873-2877 - [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]Jaehoon Choi, Dongki Jung, Donghwan Lee, Changick Kim:
Self-supervised Monocular Depth Estimation with Semantic-aware Depth Features. CoRR abs/2010.02893 (2020) - [i16]Seokeon Choi, Taekyung Kim, Minki Jeong, Hyoungseob Park, Changick Kim:
Meta Batch-Instance Normalization for Generalizable Person Re-Identification. CoRR abs/2011.14670 (2020) - [i15]Seunghan Yang, Hyoungseob Park, Junyoung Byun, Changick Kim:
Robust Federated Learning with Noisy Labels. CoRR abs/2012.01700 (2020)
2010 – 2019
- 2019
- [j46]Seungyoun Lee, Changick Kim:
Ramp Distribution-Based Contrast Enhancement Techniques and Over-Contrast Measure. IEEE Access 7: 73004-73019 (2019) - [j45]Daeyeong Kim, Seungyoun Lee, Changick Kim:
Contextual Information Based Quality Assessment for Contrast-Changed Images. IEEE Signal Process. Lett. 26(1): 109-113 (2019) - [j44]Seokeon Choi, Jonghee Kim, Wonjun Kim, Changick Kim:
Skeleton-Based Gait Recognition via Robust Frame-Level Matching. IEEE Trans. Inf. Forensics Secur. 14(10): 2577-2592 (2019) - [j43]Yoonhyung Kim, Hyunjun Eun, Chanho Jung, Changick Kim:
A Quad Edge-Based Grid Encoding Model for Content-Aware Image Retargeting. IEEE Trans. Vis. Comput. Graph. 25(12): 3202-3215 (2019) - [c46]Hankyeol Lee, Seokeon Choi, Youngeun Kim, Changick Kim:
Bilinear Siamese Networks with Background Suppression for Visual Object Tracking. BMVC 2019: 8 - [c45]Jaehoon Choi, Minki Jeong, Taekyung Kim, Changick Kim:
Pseudo-Labeling Curriculum for Unsupervised Domain Adaptation. BMVC 2019: 67 - [c44]Taekyung Kim, Minki Jeong, Seunghyeon Kim, Seokeon Choi, Changick Kim:
Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection. CVPR 2019: 12456-12465 - [c43]Seunghyeon Kim, Jaehoon Choi, Taekyung Kim, Changick Kim:
Self-Training and Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection. ICCV 2019: 6091-6100 - [c42]Jaehoon Choi, Taekyung Kim, Changick Kim:
Self-Ensembling With GAN-Based Data Augmentation for Domain Adaptation in Semantic Segmentation. ICCV 2019: 6829-6839 - [c41]Sumin Lee, Sungchan Oh, Chanho Jung, Changick Kim:
A Global-Local Embedding Module for Fashion Landmark Detection. ICCV Workshops 2019: 3153-3156 - [c40]Sung-Won Moon, Yoonhyung Kim, Do-Won Nam, Won-Young Yoo, Changick Kim:
A Comparative Study on the Ship Classification Performance of the Deep Learning Model According to Dataset Difference. ICTC 2019: 1428-1430 - [c39]Youngeun Kim, Seunghyeon Kim, Taekyung Kim, Changick Kim:
CNN-Based Semantic Segmentation Using Level Set Loss. WACV 2019: 1752-1760 - [i14]Seungjun Jung, Muhammad Abul Hasan, Changick Kim:
Water-Filling: An Efficient Algorithm for Digitized Document Shadow Removal. CoRR abs/1904.09763 (2019) - [i13]Taekyung Kim, Minki Jeong, Seunghyeon Kim, Seokeon Choi, Changick Kim:
Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection. CoRR abs/1905.05396 (2019) - [i12]Jaehoon Choi, Minki Jeong, Taekyung Kim, Changick Kim:
Pseudo-Labeling Curriculum for Unsupervised Domain Adaptation. CoRR abs/1908.00262 (2019) - [i11]Sumin Lee, Sungchan Oh, Chanho Jung, Changick Kim:
A Global-Local Emebdding Module for Fashion Landmark Detection. CoRR abs/1908.10548 (2019) - [i10]Jaehoon Choi, Taekyung Kim, Changick Kim:
Self-Ensembling with GAN-based Data Augmentation for Domain Adaptation in Semantic Segmentation. CoRR abs/1909.00589 (2019) - [i9]Seunghyeon Kim, Jaehoon Choi, Taekyung Kim, Changick Kim:
Self-Training and Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection. CoRR abs/1909.00597 (2019) - [i8]Youngeun Kim, Hankyeol Lee, Seokeon Choi, Taekyung Kim, Changick Kim:
RPM-Net: Robust Pixel-Level Matching Networks for Self-Supervised Video Object Segmentation. CoRR abs/1909.13247 (2019) - [i7]Youngeun Kim, Seunghyeon Kim, Taekyung Kim, Changick Kim:
CNN-based Semantic Segmentation using Level Set Loss. CoRR abs/1910.00950 (2019) - [i6]Junyoung Byun, Kyujin Shim, Changick Kim:
BitNet: Learning-Based Bit-Depth Expansion. CoRR abs/1910.04397 (2019) - [i5]Seunghan Yang, Yoonhyung Kim, Youngeun Kim, Changick Kim:
Combinational Class Activation Maps for Weakly Supervised Object Localization. CoRR abs/1910.05518 (2019) - [i4]Hyunjun Eun, Sumin Lee, Jinyoung Moon, Jongyoul Park, Chanho Jung, Changick Kim:
SRG: Snippet Relatedness-based Temporal Action Proposal Generator. CoRR abs/1911.11306 (2019) - [i3]Seokeon Choi, Sumin Lee, Youngeun Kim, Taekyung Kim, Changick Kim:
Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification. CoRR abs/1912.01230 (2019) - [i2]Hyunjun Eun, Jinyoung Moon, Jongyoul Park, Chanho Jung, Changick Kim:
Learning to Discriminate Information for Online Action Detection. CoRR abs/1912.04461 (2019) - 2018
- [j42]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. Comput. Methods Programs Biomed. 165: 215-224 (2018) - [j41]Yoonhyung Kim, Seungjun Jung, Chanho Jung, Changick Kim:
A structure-aware axis-aligned grid deformation approach for robust image retargeting. Multim. Tools Appl. 77(6): 7717-7739 (2018) - [j40]Hyunjun Eun, Yoonhyung Kim, Chanho Jung, Changick Kim:
Saliency refinement: Towards a uniformly highlighted salient object. Signal Process. Image Commun. 62: 16-32 (2018) - [j39]Seungyoun Lee, Daeyeong Kim, Changick Kim:
Ramp Distribution-Based Image Enhancement Techniques for Infrared Images. IEEE Signal Process. Lett. 25(7): 931-935 (2018) - [j38]Joonhyang Choi, Hyunjun Eun, Changick Kim:
Boosting Proximal Dental Caries Detection via Combination of Variational Methods and Convolutional Neural Network. J. Signal Process. Syst. 90(1): 87-97 (2018) - [c38]Junyoung Byun, Kyujin Shim, Changick Kim:
BitNet: Learning-Based Bit-Depth Expansion. ACCV (2) 2018: 67-82 - [c37]Seungjun Jung, Muhammad Abul Hasan, Changick Kim:
Water-Filling: An Efficient Algorithm for Digitized Document Shadow Removal. ACCV (1) 2018: 398-414 - [c36]Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Tomás Vojír, Goutam Bhat, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Álvaro Iglesias-Arias, A. Aydin Alatan, Abel González-García, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Andrej Muhic, Anfeng He, Arnold W. M. Smeulders, Asanka G. Perera, Bo Li, Boyu Chen, Changick Kim, Changsheng Xu, Changzhen Xiong, Cheng Tian, Chong Luo, Chong Sun, Cong Hao, Daijin Kim, Deepak Mishra, Deming Chen, Dong Wang, Dongyoon Wee, Efstratios Gavves, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Fan Yang, Fei Zhao, Feng Li, Francesco Battistone, George De Ath, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Haibin Ling, Hamed Kiani Galoogahi, Hankyeol Lee, Haojie Li, Haojie Zhao, Heng Fan, Honggang Zhang, Horst Possegger, Houqiang Li, Huchuan Lu, Hui Zhi, Huiyun Li, Hyemin Lee, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jaime Spencer Martin, Javaan Singh Chahl, Jin Young Choi, Jing Li, Jinqiao Wang, Jinqing Qi, Jinyoung Sung, Joakim Johnander, João F. Henriques, Jongwon Choi, Joost van de Weijer, Jorge Rodríguez Herranz, José M. Martínez, Josef Kittler, Junfei Zhuang, Junyu Gao, Klemen Grm, Lichao Zhang, Lijun Wang, Lingxiao Yang, Litu Rout, Liu Si, Luca Bertinetto, Lutao Chu, Manqiang Che, Mario Edoardo Maresca, Martin Danelljan, Ming-Hsuan Yang, Mohamed H. Abdelpakey, Mohamed S. Shehata, Myunggu Kang, Namhoon Lee, Ning Wang, Ondrej Miksik, Payman Moallem, Pablo Vicente-Moñivar, Pedro Senna, Peixia Li, Philip H. S. Torr, Priya Mariam Raju, Ruihe Qian, Qiang Wang, Qin Zhou, Qing Guo, Rafael Martin Nieto, Rama Krishna Sai Subrahmanyam Gorthi, Ran Tao, Richard Bowden, Richard M. Everson, Runling Wang, Sangdoo Yun, Seokeon Choi, Sergio Vivas, Shuai Bai, Shuangping Huang, Sihang Wu, Simon Hadfield, Siwen Wang, Stuart Golodetz, Ming Tang, Tianyang Xu, Tianzhu Zhang, Tobias Fischer, Vincenzo Santopietro, Vitomir Struc, Wei Wang, Wangmeng Zuo, Wei Feng, Wei Wu, Wei Zou, Weiming Hu, Wengang Zhou, Wenjun Zeng, Xiaofan Zhang, Xiaohe Wu, Xiao-Jun Wu, Xinmei Tian, Yan Li, Yan Lu, Yee Wei Law, Yi Wu, Yiannis Demiris, Yicai Yang, Yifan Jiao, Yuhong Li, Yunhua Zhang, Yuxuan Sun, Zheng Zhang, Zheng Zhu, Zhen-Hua Feng, Zhihui Wang, Zhiqun He:
The Sixth Visual Object Tracking VOT2018 Challenge Results. ECCV Workshops (1) 2018: 3-53 - [c35]