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Quan Kong
Quan Kong
Woven Planet Holdings
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Title
Cited by
Cited by
Year
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
160*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
792019
Cycle-Contrast for Self-Supervised Video Representation Learning
Q Kong, W Wei, Z Deng, T Yoshinaga, T Murakami
NeurIPS 2020, 2020
492020
Adversarial Zero-shot Learning With Semantic Augmentation.
B Tong, M Klinkigt, J Chen, X Cui, Q Kong, T Murakami, Y Kobayashi
AAAI, 2018
262018
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
192016
Detecting and correcting WiFi positioning errors
Y Tsuda, Q Kong, T Maekawa
Proceedings of the 2013 ACM international joint conference on Pervasive and …, 2013
182013
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
102021
Egocentric Video Search via Physical Interactions.
T Miyanishi, J Hirayama, Q Kong, T Maekawa, H Moriya, T Suyama
AAAI, 330-337, 2016
102016
Sharing training data among different activity classes
Q Kong, T Maekawa
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing …, 2013
72013
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
62021
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
62014
Reusing training data with generative/discriminative hybrid model for practical acceleration-based activity recognition
Q Kong, T Maekawa
Computing 96 (9), 875-895, 2014
52014
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
42022
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
42020
Towards Efficient Instance Segmentation with Hierarchical Distillation
Z Deng, Q Kong, T Murakami
Proceedings of the IEEE International Conference on Computer Vision …, 2019
42019
A MULTI-MODAL FUSION APPROACH FOR AUDIO-VISUAL SCENE CLASSIFICATION ENHANCED BY CLIP VARIANTS
S Okazaki, Q Kong, T Yoshinaga
4*
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
4*
Hitachi at TRECVID DSDI 2020
S Okazaki, Q Kong, M Klinkigt, T Yoshinaga
4*
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
32023
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
32023
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Articles 1–20