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International Conference

Long-range Multimodal Pretraining for Movie Understanding

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저 자	Dawit Mureja Argaw, Fabian Caba Heilbron, Joon-Young Lee, Markus Woodson, and In So Kweon
학 회	IEEE / CVF International Conference on Computer Vision (ICCV)
논문일시(Year)	2023
논문일시(Month)	10

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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
678.	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
»	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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