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Quan Kong
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2020 – today
- 2024
- [j8]Snehashis Majhi
, Rui Dai
Human-Scene Network: A novel baseline with self-rectifying loss for weakly supervised video anomaly detection. Comput. Vis. Image Underst. 241: 103955 (2024) - [c25]Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Meenakshi S. Arya, Anuj Sharma, Pranamesh Chakraborty, Sanjita Prajapati, Quan Kong, Norimasa Kobori, Munkhjargal Gochoo, Munkh-Erdene Otgonbold, Fady Alnajjar, Ganzorig Batnasan, Ping-Yang Chen, Jun-Wei Hsieh, Xunlei Wu, Sameer Satish Pusegaonkar, Yizhou Wang, Sujit Biswas, Rama Chellappa:
The 8th AI City Challenge. CVPR Workshops 2024: 7261-7272 - [c24]Quan Kong, Yuki Kawana, Rajat Saini, Ashutosh Kumar, Jingjing Pan, Ta Gu, Yohei Ozao, Balazs Opra, Yoichi Sato, Norimasa Kobori:
WTS: A Pedestrian-Centric Traffic Video Dataset for Fine-Grained Spatial-Temporal Understanding. ECCV (76) 2024: 1-18 - [c23]Ting-Ru Liu, Hsuan-Kung Yang, Jou-Min Liu, Chun-Wei Huang, Tsung-Chih Chiang, Quan Kong, Norimasa Kobori, Chun-Yi Lee:
Reprojection Errors as Prompts for Efficient Scene Coordinate Regression. ECCV (30) 2024: 286-302 - [c22]Snehashis Majhi
OE-CTST: Outlier-Embedded Cross Temporal Scale Transformer for Weakly-supervised Video Anomaly Detection. WACV 2024: 8559-8568 - [i12]Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Meenakshi S. Arya, Anuj Sharma, Pranamesh Chakraborty, Sanjita Prajapati, Quan Kong, Norimasa Kobori, Munkhjargal Gochoo, Munkh-Erdene Otgonbold, Fady Alnajjar, Ganzorig Batnasan, Ping-Yang Chen, Jun-Wei Hsieh, Xunlei Wu, Sameer Satish Pusegaonkar, Yizhou Wang, Sujit Biswas, Rama Chellappa:
The 8th AI City Challenge. CoRR abs/2404.09432 (2024) - [i11]Quan Kong, Yuki Kawana, Rajat Saini, Ashutosh Kumar, Jingjing Pan, Ta Gu, Yohei Ozao, Balazs Opra, David C. Anastasiu, Yoichi Sato, Norimasa Kobori:
WTS: A Pedestrian-Centric Traffic Video Dataset for Fine-grained Spatial-Temporal Understanding. CoRR abs/2407.15350 (2024) - [i10]Ting-Ru Liu, Hsuan-Kung Yang, Jou-Min Liu, Chun-Wei Huang, Tsung-Chih Chiang, Quan Kong, Norimasa Kobori, Chun-Yi Lee:
Reprojection Errors as Prompts for Efficient Scene Coordinate Regression. CoRR abs/2409.04178 (2024) - [i9]Liyu Zhang, Haochi Wu, Xu Wan, Quan Kong, Ruilong Deng, Mingyang Sun:
SAMG: State-Action-Aware Offline-to-Online Reinforcement Learning with Offline Model Guidance. CoRR abs/2410.18626 (2024) - 2023
- [j7]Lei Wang
Infrared and Visible Image Fusion via Attention-Based Adaptive Feature Fusion. Entropy 25(3): 407 (2023) - [j6]Xitong Chen
Remote Sensing Image Super-Resolution With Residual Split Attention Mechanism. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 1-13 (2023) - [c21]Di Yang
Self-Supervised Video Representation Learning via Latent Time Navigation. AAAI 2023: 3118-3126 - [c20]Lijin Yang, Quan Kong, Hsuan-Kung Yang, Wadim Kehl, Yoichi Sato, Norimasa Kobori:
DeCo: Decomposition and Reconstruction for Compositional Temporal Grounding via Coarse-to-Fine Contrastive Ranking. CVPR 2023: 23130-23140 - [c19]Di Yang
LAC - Latent Action Composition for Skeleton-based Action Segmentation. ICCV 2023: 13633-13644 - [i8]Snehashis Majhi
Human-Scene Network: A Novel Baseline with Self-rectifying Loss for Weakly supervised Video Anomaly Detection. CoRR abs/2301.07923 (2023) - [i7]Di Yang, Yaohui Wang, Quan Kong, Antitza Dantcheva, Lorenzo Garattoni, Gianpiero Francesca, François Brémond:
Self-Supervised Video Representation Learning via Latent Time Navigation. CoRR abs/2305.06437 (2023) - [i6]Di Yang, Yaohui Wang, Antitza Dantcheva, Quan Kong, Lorenzo Garattoni, Gianpiero Francesca, François Brémond:
LAC: Latent Action Composition for Skeleton-based Action Segmentation. CoRR abs/2308.14500 (2023) - 2022
- [j5]Quan Kong, Huabing Zhou, Yuntao Wu:
NormFuse: Infrared and Visible Image Fusion With Pixel-Adaptive Normalization. IEEE CAA J. Autom. Sinica 9(12): 2190-2192 (2022) - [j4]Ziwei Deng
Hierarchical contrastive adaptation for cross-domain object detection. Mach. Vis. Appl. 33(4): 62 (2022) - [c18]Yoshiki Ito, Quan Kong, Kenichi Morita, Tomoaki Yoshinaga:
Efficient and Accurate Skeleton-Based Two-Person Interaction Recognition Using Inter-and Intra-Body Graphs. ICIP 2022: 231-235 - [i5]Yang Shao, Quan Kong, Tadayuki Matsumura, Taiki Fuji, Kiyoto Ito, Hiroyuki Mizuno:
Mask Atari for Deep Reinforcement Learning as POMDP Benchmarks. CoRR abs/2203.16777 (2022) - [i4]Yoshiki Ito, Quan Kong, Kenichi Morita, Tomoaki Yoshinaga:
Efficient and Accurate Skeleton-Based Two-Person Interaction Recognition Using Inter- and Intra-body Graphs. CoRR abs/2207.12648 (2022) - 2021
- [j3]Yoshiki Ito
Multi-Stream Adaptive Graph Convolutional Network Using Inter- and Intra-Body Graphs for Two-Person Interaction Recognition. IEEE Access 9: 110670-110682 (2021) - [c17]Soichiro Okazaki, Quan Kong, Tomoaki Yoshinaga:
A Multi-Modal Fusion Approach for Audio-Visual Scene Classification Enhanced by CLIP Variants. DCASE 2021: 95-99 - [c16]Chao-Han Huck Yang, Mohit Chhabra, Yi-Chieh Liu, Quan Kong, Tomoaki Yoshinaga, Tomokazu Murakami:
Robust Unsupervised Multi-Object Tracking In Noisy Environments. ICIP 2021: 2239-2243 - [i3]Chao-Han Huck Yang, Mohit Chhabra, Yi-Chieh Liu, Quan Kong, Tomoaki Yoshinaga, Tomokazu Murakami:
Robust Unsupervised Multi-Object Tracking in Noisy Environments. CoRR abs/2105.10005 (2021) - 2020
- [c15]Koichiro Ito, Quan Kong, Shota Horiguchi, Takashi Sumiyoshi, Kenji Nagamatsu:
Anticipating the Start of User Interaction for Service Robot in the Wild. ICRA 2020: 9687-9693 - [c14]Quan Kong, Wenpeng Wei, Ziwei Deng, Tomoaki Yoshinaga, Tomokazu Murakami:
Cycle-Contrast for Self-Supervised Video Representation Learning. NeurIPS 2020 - [c13]Soichiro Okazaki, Quan Kong, Martin Klinkigt, Tomoaki Yoshinaga:
Hitachi at TRECVID DSDI 2020. TRECVID 2020 - [i2]Quan Kong, Wenpeng Wei, Ziwei Deng, Tomoaki Yoshinaga, Tomokazu Murakami:
Cycle-Contrast for Self-Supervised Video Representation Learning. CoRR abs/2010.14810 (2020)
2010 – 2019
- 2019
- [c12]Quan Kong, Bin Tong, Martin Klinkigt, Yuki Watanabe, Naoto Akira, Tomokazu Murakami:
Active Generative Adversarial Network for Image Classification. AAAI 2019: 4090-4097 - [c11]Quan Kong, Ziming Wu, Ziwei Deng, Martin Klinkigt, Bin Tong, Tomokazu Murakami:
MMAct: A Large-Scale Dataset for Cross Modal Human Action Understanding. ICCV 2019: 8657-8666 - [c10]Ziwei Deng, Quan Kong, Tomokazu Murakami:
Towards Efficient Instance Segmentation with Hierarchical Distillation. ICCV Workshops 2019: 3243-3249 - [c9]Martin Klinkigt, Duy-Dinh Le, Atsushi Hiroike, Hung-Quoc Vo, Mohit Chabra, Vu-Minh-Hieu Dang, Quan Kong, Vinh-Tiep Nguyen, Tomokazu Murakami, Tien-Van Do, Tomoaki Yoshinaga, Duy-Nhat Nguyen, Sinha Saptarshi, Thanh-Duc Ngo, Charles Limasanches, Tushar Agrawal, Jian Vora, Manikandan Ravikiran, Zheng Wang, Shin'ichi Satoh:
NII Hitachi UIT at TRECVID 2019. TRECVID 2019 - [i1]Quan Kong, Bin Tong, Martin Klinkigt, Yuki Watanabe, Naoto Akira, Tomokazu Murakami:
Active Generative Adversarial Network for Image Classification. CoRR abs/1906.07133 (2019) - 2018
- [c8]Bin Tong, Martin Klinkigt, Junwen Chen, Xiankun Cui, Quan Kong, Tomokazu Murakami, Yoshiyuki Kobayashi:
Adversarial Zero-shot Learning With Semantic Augmentation. AAAI 2018: 2476-2483 - [c7]Quan Kong, Naoto Akira, Bin Tong, Yuki Watanabe, Daisuke Matsubara, Tomokazu Murakami:
Multimodal Deep Neural Networks Based Ensemble Learning for X-Ray Object Recognition. ACCV Workshops 2018: 523-538 - 2016
- [c6]Taiki Miyanishi, Junichiro Hirayama, Quan Kong, Takuya Maekawa, Hiroki Moriya, Takayuki Suyama:
Egocentric Video Search via Physical Interactions. AAAI 2016: 330-337 - [c5]Quan Kong, Takuya Maekawa, Taiki Miyanishi, Takayuki Suyama:
Selecting home appliances with smart glass based on contextual information. UbiComp 2016: 97-108 - 2014
- [j2]Chang Liu, Lili Lu, Quan Kong, Yan Li, Haihua Wu, William Yang, Shandan Xu, Xinyu Yang, Xiaolei Song, Jack Y. Yang, Mary Qu Yang, Youping Deng:
Developing discriminate model and comparative analysis of differentially expressed genes and pathways for bloodstream samples of diabetes mellitus type 2. BMC Bioinform. 15(S-17): S5 (2014) - [j1]Quan Kong, Takuya Maekawa:
Reusing training data with generative/discriminative hybrid model for practical acceleration-based activity recognition. Computing 96(9): 875-895 (2014) - [c4]Quan Kong, Takuya Maekawa:
Identifying outlets at which electrical appliances are used by electrical wire sensing to gain positional information about appliance use. UbiComp 2014: 349-360 - 2013
- [c3]Quan Kong, Takuya Maekawa:
Sharing training data among different activity classes. UbiComp (Adjunct Publication) 2013: 701-712 - [c2]Yuki Tsuda, Quan Kong, Takuya Maekawa:
Detecting and correcting WiFi positioning errors. UbiComp 2013: 777-786 - 2012
- [c1]Fakhar Anjam, Quan Kong, Roel Seedorf, Stephan Wong:
A Run-Time Task Migration Scheme for an Adjustable Issue-Slots Multi-core Processor. ARC 2012: 102-113
Coauthor Index
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last updated on 2024-11-28 21:29 CET by the dblp team
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