Robotics and Computer Vision Lab

Publications

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저 자 Seunghak Shin, Inwook Shim, Jiyoung Jung, Yunsu Bok, Jun-Ho Oh, In So Kweon
학 회 The International Conference of Intelligent Robots and Systems (IROS)
Notes This work was supported by Ministry of Trade Industry and Energy of Republic of Korea(MOTIE) (No.10050159) and the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIP) (No.2010-0028680)
논문일시(Year) 2016
논문일시(Month) 10
We present an object proposal method which utilizes the 3D data obtained from a depth sensor as well as the color information of images. Our object proposal method is designed to improve the performance of the object detection for a mobile robot equipped with a camera and a laser scanner. Compared to traditional object proposal methods using only 2D images, the proposed method provides much less number of candidate windows for object detection. We show less than 100 object proposal windows per image using the proposed method result in high recall tested on the public dataset. Our method presents object proposals in 3D space as well as in 2D image thus it can further be applied to following tasks for mobile robots such as 3D location and pose estimation of the target object after successful object detection. We validate our method using the real-world object detection dataset for outdoor mobile robots captured during the DRC Finals 2015 and the public dataset for comparison with the previous methods.

List of Articles
605. Align-and-Attend Network for Globally and Locally Coherent Video Inpainting
Sanghyun Woo, Dahun Kim, KwanYong Park, Joon-Young Lee, In So Kweon
British Machine Vision Conference (BMVC) 2020 / 09
604. Non-Local Spatial Propagation Network for Depth Completion
Jinsun Park, Kyungdon Joo, Zhe Hu, Chi-Kuei Liu, In So Kweon
European Conference on Computer Vision (ECCV) 2020 / 08
603. Two-Phase Pseudo Label Densification for Self-training based Domain Adaptation
Inkyu Shin, Sanghyun Woo, Fei Pan, In So Kweon
European Conference on Computer Vision (ECCV) 2020 / 08
602. Global-and-Local Relative Position Embedding for Unsupervised Video Summarization
Yunjae Jung, Donghyeon Cho, Sanghyun Woo, In So Kweon
European Conference on Computer Vision (ECCV) 2020 / 08
601. Detecting Human-Object Interactions with Action Co-occurrence Priors
Dong-Jin Kim, Xiao Sun, Jinsoo Choi, Stephen Lin, and In So Kweon
European Conference on Computer Vision (ECCV) 2020 / 08
600. SideGuide: A Large-scale Sidewalk Dataset for Guiding Impaired People
Kibaek Park*, Youngtaek Oh*, Soomin Ham*, Kyungdon Joo*, HYOKYOUNG KIM, HyoYoung Kum, In So Kweon
IROS, 2020 2020 / 10
599. Understanding Adversarial Examples from the Mutual Influence of Images and Perturbations
Chaoning Zhang*, Philipp Benz*, Tooba Imtiaz, In So Kweon (Chaoning Zhang, Philipp Benz are co-first author)
Computer Vision and Pattern Recognition, CVPR, 2020. 2020 / 06
598. Video Panoptic Segmentation
Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon
Computer Vision and Pattern Recognition, CVPR, 2020. 2020 / 06
597. Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision
Fei Pan, Inkyu Shin, Francois Rameau, Seokju Lee, In So Kweon
Computer Vision and Pattern Recognition, CVPR, 2020. 2020 / 06
596. Robust Reference-based Super-Resolution with Similarity-Aware Deformable Convolution
Gyumin Shim, Jinsun Park, In So Kweon
Computer Vision and Pattern Recognition, CVPR, 2020. 2020 / 06
595. Salient View Selection for Visual Recognition of Industrial Components
Seong-heum Kim, Gyeongmin Choe, Min-Gyu Park, In So Kweon
IEEE International Conference on Robotics and Automation (ICRA) 2020 / 05
594. Linear RGB-D SLAM for Atlanta World
Kyungdon Joo, Tae-Hyun Oh, Francois Rameau, Jean-Charles Bazin and In So Kweon
IEEE International Conference on Robotics and Automation (ICRA) 2020 / 05
593. Globally Optimal Relative Pose Estimation for Camera on a Selfie Stick
Kyungdon Joo, Hongdong Li, Tae-Hyun Oh, Yunsu Bok and and In So Kweon
IEEE International Conference on Robotics and Automation (ICRA) 2020 / 05
592. CNN-based Simultaneous Dehazing and Depth Estimation
Byeong-Uk Lee, Kyunghyun Lee, Jean Oh and In So Kweon
IEEE International Conference on Robotics and Automation (ICRA) 2020 / 05
591. Depth Completion with Deep Geometry and Context Guidance
Byeong-Uk Lee, Hae-Gon Jeon, Sunghoon Im, In So Kweon
IEEE International Conference on Robotics and Automation (ICRA) 2019 / 05
590. A Simple and Light-weight Attention Module for Convolutional Neural Networks
Jongchan Park*, Sanghyun Woo*, Joon-Young Lee, In-So Kweon
International Journal of Computer Vision (IJCV) 2019 / 12
589. Recurrent Temporal Aggregation Framework for Deep Video Inpainting
Dahun Kim*, Sanghyun Woo*, Joon-Young Lee, In So Kweon
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2019 / 11
588. Learning to Localize Sound Sources in Visual Scenes: Analysis and Applications
Arda Senocak, Tae-Hyun Oh, Junsik Kim, Ming-Hsuan Yang, In So Kweon
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2019 / 10
587. Hide-and-Tell: Learning to Bridge Photo Streams for Visual Storytelling
Yunjae Jung, Dahun Kim, Sanghyun Woo, Kyungsu Kim, Sungjin Kim, In So Kweon
Association for the Advancement of Artificial Intelligence (AAAI) 2020 / 02
586. CD-UAP: Class Discriminative Universal Adversarial Perturbations
Chaoning Zhang*, Philipp Benz*, Tooba Imtiaz, In-So Kweon
Association for the Advancement of Artificial Intelligence (AAAI) 2020 / 02
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