| Active Generative Adversarial Network for Image Classification Q Kong, B Tong, M Klinkigt, Y Watanabe, N Akira, T Murakami Proceedings of the AAAI Conference on Artificial Intelligence 33, 4090-4097, 2019 | 165* | 2019 |
| MMAct: A Large-Scale Dataset for Cross Modal Human Action Understanding Q Kong, Z Wu, Z Deng, M Klinkigt, B Tong, T Murakami Proceedings of the IEEE International Conference on Computer Vision, 8658-8667, 2019 | 91 | 2019 |
| Cycle-Contrast for Self-Supervised Video Representation Learning Q Kong, W Wei, Z Deng, T Yoshinaga, T Murakami NeurIPS 2020, 2020 | 51 | 2020 |
| Adversarial Zero-shot Learning With Semantic Augmentation. B Tong, M Klinkigt, J Chen, X Cui, Q Kong, T Murakami, Y Kobayashi AAAI, 2018 | 26 | 2018 |
| The 8th AI City Challenge S Wang, DC Anastasiu, Z Tang, MC Chang, Y Yao, L Zheng, MS Rahman, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 25 | 2024 |
| Selecting home appliances with smart glass based on contextual information Q Kong, T Maekawa, T Miyanishi, T Suyama Proceedings of the 2016 ACM International Joint Conference on Pervasive and …, 2016 | 19 | 2016 |
| Detecting and correcting WiFi positioning errors Y Tsuda, Q Kong, T Maekawa Proceedings of the 2013 ACM international joint conference on Pervasive and …, 2013 | 19 | 2013 |
| Image retrieving apparatus, image retrieving method, and setting screen used therefor Y Watanabe, K Morita, T Murakami, A Hiroike, K Quan US Patent 10,977,515, 2021 | 11 | 2021 |
| Egocentric Video Search via Physical Interactions. T Miyanishi, J Hirayama, Q Kong, T Maekawa, H Moriya, T Suyama AAAI, 330-337, 2016 | 11 | 2016 |
| Sharing training data among different activity classes Q Kong, T Maekawa Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing …, 2013 | 7 | 2013 |
| Deco: Decomposition and reconstruction for compositional temporal grounding via coarse-to-fine contrastive ranking L Yang, Q Kong, HK Yang, W Kehl, Y Sato, N Kobori Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 6 | 2023 |
| Hierarchical contrastive adaptation for cross-domain object detection Z Deng, Q Kong, N Akira, T Yoshinaga Machine Vision and Applications 33 (4), 1-13, 2022 | 6 | 2022 |
| Multi-stream Adaptive Graph Convolutional Network Using Inter-and Intra-body Graphs for Two-person Interaction Recognition Y Ito, K Morita, Q Kong, T Yoshinaga IEEE Access, 2021 | 6 | 2021 |
| Identifying outlets at which electrical appliances are used by electrical wire sensing to gain positional information about appliance use Q Kong, T Maekawa Proceedings of the 2014 ACM International Joint Conference on Pervasive and …, 2014 | 6 | 2014 |
| Self-Supervised Video Representation Learning via Latent Time Navigation D Yang, Y Wang, Q Kong, A Dantcheva, L Garattoni, G Francesca, ... arXiv preprint arXiv:2305.06437, 2023 | 5 | 2023 |
| Human-Scene Network: A Novel Baseline with Self-rectifying Loss for Weakly supervised Video Anomaly Detection S Majhi, R Dai, Q Kong, L Garattoni, G Francesca, F Bremond arXiv preprint arXiv:2301.07923, 2023 | 5 | 2023 |
| Anticipating the Start of User Interaction for Service Robot in the Wild K Ito, Q Kong, S Horiguchi, T Sumiyoshi, K Nagamatsu 2020 IEEE International Conference on Robotics and Automation (ICRA), 9687-9693, 2020 | 5 | 2020 |
| Reusing training data with generative/discriminative hybrid model for practical acceleration-based activity recognition Q Kong, T Maekawa Computing 96 (9), 875-895, 2014 | 5 | 2014 |
| A MULTI-MODAL FUSION APPROACH FOR AUDIO-VISUAL SCENE CLASSIFICATION ENHANCED BY CLIP VARIANTS S Okazaki, Q Kong, T Yoshinaga | 5* | |
| LDSLVISION SUBMISSIONS TO DCASE’21: A MULTI-MODAL FUSION APPROACH FOR AUDIO-VISUAL SCENE CLASSIFICATION ENHANCED BY CLIP VARIANTS S Okazaki, Q Kong, T Yoshinaga | 5* | |
Takuya MaekawaOsaka University在 acm.org 的电子邮件经过验证
