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
379. ML-BPM: Multi-teacher Learning with Bidirectional Photometric Mixing for Open Compound Domain Adaptation in Semantic Segmentation
Fei Pan, Sungsu Hur, Seokju Lee, Junsik Kim, In So Kweon
European Conference on Computer Vision (ECCV) 2022 / 10
378. A Unified Learning Framework for Large Vocabulary Video Object Detection
Sanghyun Woo, Kwanyong Park, Seoung Wug Oh, In So Kweon, Joon-Young Lee
European Conference on Computer Vision (ECCV) 2022 / 10
377. Tracking by Associating Clips
Sanghyun Woo, Kwanyong Park, Seoung Wug Oh, In So Kweon, Joon-Young Lee
European Conference on Computer Vision (ECCV) 2022 / 10
376. The Anatomy of Video Editing: A Dataset and Benchmark Suite for AI-Assisted Video Editing
Dawit Mureja Argaw, Fabian Caba Heilbron, Markus Woodson, Joon-Young Lee, In So Kweon
European Conference on Computer Vision 2022 / 10
375. DRL-ISP: Multi-Objective Camera ISP with Deep Reinforcement Learning
Ukcheol Shin, Kyunghyun Lee, In So Kweon
International Conference on Intelligent Robots and Systems (IROS) 2022 / 06
374. Investigating Top-k White-Box and Transferable Black-box Attack
Chaoning Zhang, Philip Benz, Adil Karjauv, JaeWon Cho, Kang Zhang, In So Kweon
Computer Vision and Pattern Recognition, CVPR 2022 / 03
373. DASO: Distribution-Aware Semantics-Oriented Pseudo-Label for Imbalanced Semi-Supervised Learning
Youngtaek Oh, Dong-Jin Kim, and In So Kweon
Computer Vision and Pattern Recognition, CVPR 2022 / 03
372. Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo
Chaoning Zhang*, Kang Zhang,∗, Trung X. Pham,∗, Axi Niu, Zhinan Qiao Chang D. Yoo, In So Kweon
Computer Vision and Pattern Recognition, CVPR 2022 / 03
371. TubeFormer-DeepLab: Video Mask Transformer
Dahun Kim, Jun Xie, Huiyu Wang, Siyuan Qiao, Qihang Yu, Hong-Seok Kim,Hartwig Adam, In So Kweon, Liang-Chieh Chen
Computer Vision and Pattern Recognition, CVPR 2022 / 03
370. Per-Clip Video Object Segmentation
Kwanyong Park, Sanghyun Woo, Seoung Wug Oh, In So Kweon, Joon-Young Lee
Computer Vision and Pattern Recognition, CVPR 2022 / 03
369. MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation
Inkyu Shin, Yi-Hsuan Tsai, Samuel Schulter, Bingbing Zhuang, Buyu Liu, Sparsh Garg, In So Kweon, Kuk-Jin Yoon
Computer Vision and Pattern Recognition, CVPR 2022 / 03
368. Restoration of Video Frames from a Single Blurred Image with Motion Understanding
Dawit Mureja Argaw, Junsik Kim, Francois Rameau, Chaoning Zhang, In So Kweon
Computer Vision and Pattern Recognition Workshop, CVPRW 2022 / 03
367. Long-term Video Frame Interpolation via Feature Propagation
Dawit Mureja Argaw, In So Kweon
Computer Vision and Pattern Recognition, CVPR 2022 / 03
366. UDA-COPE: Unsupervised Domain Adaptation for Category-level Object Pose Estimation
Taeyeop Lee, Byeong-Uk Lee, Inkyu Shin, Jaesung Choe, Ukcheol Shin, In So Kweon, Kuk-Jin Yoon
Computer Vision and Pattern Recognition, CVPR 2022 / 03
365. Learning Sound Localization Better from Semantically Similar Samples
Arda Senocak*, Hyeonggon Ryu*, Junsik Kim*, In So Kweon
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2022 / 5
364. PointRecon: Deep Point Cloud Reconstruction
Jaesung Choe*, Byeonin Joung*, Francois Rameau, Jaesik Park, and In So Kweon
International Conference on Learning Representations (ICLR) 2022/04 /
363. Single-Modal Entropy based Active Learning for Visual Question Answering
Dong-Jin Kim*, Jae Won Cho*, Jinsoo Choi, Yunjae Jung, In So Kweon (*Equal Contribution)
British Machine Vision Conference (BMVC) 2021 / 11
362. Less Can Be More: Sound Source Localization With a Classification Model
Arda Senocak*, Hyeonggon Ryu*, Junsik Kim*, In So Kweon
IEEE Winter Conference on Applications of Computer Vision (WACV) 2022 / 1
361. Batch Normalization Increases Adversarial Vulnerability and Decreases Adversarial Transferability: A Non-Robust Feature Perspective
Philipp Benz*, Chaoning Zhang*, In So Kweon
IEEE International Conference on Computer Vision (ICCV) 2021 / 10
360. Data-Free Universal Adversarial Perturbation and Black-Box Attack
Chaoning Zhang*, Philipp Benz*, Adil Karjauv*, In So Kweon
IEEE International Conference on Computer Vision (ICCV) 2021 / 10
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