Robotics and Computer Vision Lab

Publications

Extra Form
저 자 Junha Song, Kwanyong Park, InKyu Shin, Sanghyun Woo, Chaoning Zhang, In So Kweon
학 회 IEEE Robotics and Automation Letters (RA-L)
논문일시(Year) 2023
논문일시(Month) 08

Accepted. ICLR24 (optional)


List of Articles
686. Preserving Multi-Modal Capabilities of Pre-trained VLMs for Improving Vision-Linguistic Compositionality
Youngtaek Oh, Jae Won Cho, Dong-Jin Kim, In So Kweon*, Junmo Kim*
Conference on Empirical Methods in Natural Language Processing (EMNLP) 2024 / 11
685. MTMMC: A Large-Scale Real-World Multi-Modal Camera Tracking Benchmark
Sanghyun Woo*, Kwanyong Park*, Inkyu Shin*, Myungchul Kim*, In So Kweon
Conference on Computer Vision and Pattern Recognition (CVPR) 2024 / 06
684. ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object
Chenshuang Zhang, Fei Pan, Junmo Kim, In So Kweon, Chengzhi Mao
Conference on Computer Vision and Pattern Recognition (CVPR) 2024 / 06
683. Empirical study on using adapters for debiased Visual Question Answering
Jae Won Cho, Dawit Mureja Argaw, Youngtaek Oh, Dong-Jin Kim, In So Kweon
Computer Vision and Image Understanding (CVIU) 2023 / 12
682. Video-kmax: A simple unified approach for online and near-online video panoptic segmentation
Inkyu Shin, Dahun Kim, Qihang Yu, Jun Xie, Hong-Seok Kim, Bradley Green, In So Kweon, Kuk-Jin Yoon, Liang-Chieh Chen
Winter Conference on Applications of Computer Vision (WACV) 2024 / 01
681. Blurry Video Compression: A Trade-off between Visual Enhancement and Data Compression
Dawit Mureja Argaw, Junsik Kim, In So Kweon
Winter Conference on Applications of Computer Vision (WACV) 2024 / 01
680. CCTV-Calib: a toolbox to calibrate surveillance cameras around the globe
Francois Rameau, Jaesung Choe, Fei Pan, Seokju Lee, In So Kweon
Machine Vision and Applications (MVA) 2023 / 11
679. Simple Techniques are Sufficient for Boosting Adversarial Transferability
Chaoning Zhang, Philipp Benz, Adil Karjauv, In So Kweon, Choong Seon Hong
ACM International Conference on Multimedia (MM) 2023 / 10
» Test-time Adaptation in the Dynamic World with Compound Domain Knowledge Management
Junha Song, Kwanyong Park, InKyu Shin, Sanghyun Woo, Chaoning Zhang, In So Kweon
IEEE Robotics and Automation Letters (RA-L) 2023 / 08
677. MATE: Masked Autoencoders are Online 3D Test-Time Learners
Inkyu Shin*, Muhammad Jehanzeb Mirza*, Wei Lin*, Andreas Schriebl, Kunyang Sun, Jaesung Choe, Horst Possegger, Mateusz Kozinski, In So Kweon, Kuk-Jin Yoon, and Horst Bischof
IEEE / CVF International Conference on Computer Vision (ICCV) 2023 / 10
676. Spacetime Regularization for Neural Scene Reconstruction
Jaesung Choe, Christopher Choy, Jaesik Park, Anima Anandkumar, and In So Kweon
IEEE / CVF International Conference on Computer Vision (ICCV) 2023 / 10
675. Long-range Multimodal Pretraining for Movie Understanding
Dawit Mureja Argaw, Fabian Caba Heilbron, Joon-Young Lee, Markus Woodson, and In So Kweon
IEEE / CVF International Conference on Computer Vision (ICCV) 2023 / 10
674. Semantic-Guided De-Attention with Sharpened Triplet Marginal Loss for Visual Place Recognition
Seung-Min Choi, Seung-Ik Lee, Jae-Yeong Lee, and In So Kweon
Pattern Recognition 2023 / 04
673. ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders
Sanghyun Woo, Shoubhik Debnath, Ronghang Hu, Xinlei Chen, Zhuang Liu, In So Kweon, Saining Xie
Computer Vision and Pattern Recognition, CVPR 2023 / 06
672. Single View Scene Scale Estimation using Scale Field
Byeong-Uk Lee, Jianming Zhang, Yannick Hold-Geoffroy, In So Kweon
Computer Vision and Pattern Recognition, CVPR 2023 / 06
671. Deep Depth Estimation From Thermal Image
Ukcheol Shin, Jinsun Park, In So Kweon
Computer Vision and Pattern Recognition, CVPR 2023 / 06
670. Mask-guided Matting in the Wild
Kwanyong Park, Sanghyun Woo, Seoung Wug Oh, In So Kweon, Joon-Young Lee
Computer Vision and Pattern Recognition, CVPR 2023 / 06
669. Generative Bias for Robust Visual Question Answering
Jae Won Cho, Dong-Jin Kim, Hyeonggon Ryu, In So Kweon
Computer Vision and Pattern Recognition, CVPR 2023 / 06
668. TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation
Taeyeop Lee, Jonathan Tremblay, Valts Blukis, Bowen Wen, Byeong-Uk Lee, Inkyu Shin, Stan Birchfield, In So Kweon, Kuk-Jin Yoon
Computer Vision and Pattern Recognition, CVPR 2023 / 06
667. Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularization
Junha Song, Jungsoo Lee, In So Kweon, Sungha Choi
Computer Vision and Pattern Recognition, CVPR 2023 / 06
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