Robotics and Computer Vision Lab

Publications

List of Articles
380. Fast Adversarial Contrastive Learning for Self-supervised Adversarial Robustness
Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Axi Niu, Jiu Feng, Chang D. Yoo, In So Kweon
European Conference on Computer Vision (ECCV) 2022 / 10
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
Board Pagination Prev 1 2 3 4 5 6 7 8 9 10 ... 20 Next
/ 20