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Compositional Learning in Transformer-Based Human-Object Interaction Detection

Aug 11, 2023
Zikun Zhuang, Ruihao Qian, Chi Xie, Shuang Liang

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Scalability of Message Encoding Techniques for Continuous Communication Learned with Multi-Agent Reinforcement Learning

Aug 09, 2023
Astrid Vanneste, Thomas Somers, Simon Vanneste, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx

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Reframing the Brain Age Prediction Problem to a More Interpretable and Quantitative Approach

Aug 23, 2023
Neha Gianchandani, Mahsa Dibaji, Mariana Bento, Ethan MacDonald, Roberto Souza

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AutoPoster: A Highly Automatic and Content-aware Design System for Advertising Poster Generation

Aug 23, 2023
Jinpeng Lin, Min Zhou, Ye Ma, Yifan Gao, Chenxi Fei, Yangjian Chen, Zhang Yu, Tiezheng Ge

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Semantic-Aware Implicit Template Learning via Part Deformation Consistency

Aug 23, 2023
Sihyeon Kim, Minseok Joo, Jaewon Lee, Juyeon Ko, Juhan Cha, Hyunwoo J. Kim

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Self-Supervised Scalable Deep Compressed Sensing

Aug 26, 2023
Bin Chen, Xuanyu Zhang, Shuai Liu, Yongbing Zhang, Jian Zhang

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Source-free Domain Adaptive Human Pose Estimation

Aug 18, 2023
Qucheng Peng, Ce Zheng, Chen Chen

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Learning Image Deraining Transformer Network with Dynamic Dual Self-Attention

Aug 15, 2023
Zhentao Fan, Hongming Chen, Yufeng Li

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Informed Named Entity Recognition Decoding for Generative Language Models

Aug 15, 2023
Tobias Deußer, Lars Hillebrand, Christian Bauckhage, Rafet Sifa

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On the Adversarial Robustness of Multi-Modal Foundation Models

Aug 21, 2023
Christian Schlarmann, Matthias Hein

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