Quan Kong

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 34

Top Topics

Weakly Supervised

Action Recognition

Anomaly Detection

Top Venues

Publications

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 (2024)
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 (2024)
Snehashis Majhi, Rui Dai, Quan Kong, Lorenzo Garattoni, Gianpiero Francesca, François Brémond
Human-Scene Network: A novel baseline with self-rectifying loss for weakly supervised video anomaly detection. Comput. Vis. Image Underst. 241 (2024)
Snehashis Majhi, Rui Dai, Quan Kong, Lorenzo Garattoni, Gianpiero Francesca, François Brémond
OE-CTST: Outlier-Embedded Cross Temporal Scale Transformer for Weakly-supervised Video Anomaly Detection. WACV (2024)
Snehashis Majhi, Rui Dai, Quan Kong, Lorenzo Garattoni, Gianpiero Francesca, François Brémond
Human-Scene Network: A Novel Baseline with Self-rectifying Loss for Weakly supervised Video Anomaly Detection. CoRR (2023)
Di Yang, Yaohui Wang, Antitza Dantcheva, Quan Kong, Lorenzo Garattoni, Gianpiero Francesca, François Brémond
LAC: Latent Action Composition for Skeleton-based Action Segmentation. CoRR (2023)
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)
Di Yang, Yaohui Wang, Quan Kong, Antitza Dantcheva, Lorenzo Garattoni, Gianpiero Francesca, François Brémond
Self-Supervised Video Representation Learning via Latent Time Navigation. CoRR (2023)
Xitong Chen, Yuntao Wu, Tao Lu, Quan Kong, Jiaming Wang, Yu Wang
Remote Sensing Image Super-Resolution With Residual Split Attention Mechanism. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16 (2023)
Di Yang, Yaohui Wang, Antitza Dantcheva, Quan Kong, Lorenzo Garattoni, Gianpiero Francesca, François Brémond
LAC - Latent Action Composition for Skeleton-based Action Segmentation. ICCV (2023)
Lei Wang, Ziming Hu, Quan Kong, Qian Qi, Qing Liao
Infrared and Visible Image Fusion via Attention-Based Adaptive Feature Fusion. Entropy 25 (3) (2023)
Di Yang, Yaohui Wang, Quan Kong, Antitza Dantcheva, Lorenzo Garattoni, Gianpiero Francesca, François Brémond
Self-Supervised Video Representation Learning via Latent Time Navigation. AAAI (2023)
Quan Kong, Huabing Zhou, Yuntao Wu
NormFuse: Infrared and Visible Image Fusion With Pixel-Adaptive Normalization. IEEE CAA J. Autom. Sinica 9 (12) (2022)
Yoshiki Ito, Quan Kong, Kenichi Morita, Tomoaki Yoshinaga
Efficient and Accurate Skeleton-Based Two-Person Interaction Recognition Using Inter- and Intra-body Graphs. CoRR (2022)
Yang Shao, Quan Kong, Tadayuki Matsumura, Taiki Fuji, Kiyoto Ito, Hiroyuki Mizuno
Mask Atari for Deep Reinforcement Learning as POMDP Benchmarks. CoRR (2022)
Ziwei Deng, Quan Kong, Naoto Akira, Tomoaki Yoshinaga
Hierarchical contrastive adaptation for cross-domain object detection. Mach. Vis. Appl. 33 (4) (2022)
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)
Yoshiki Ito, Kenichi Morita, Quan Kong, Tomoaki Yoshinaga
Multi-Stream Adaptive Graph Convolutional Network Using Inter- and Intra-Body Graphs for Two-Person Interaction Recognition. IEEE Access 9 (2021)
Chao-Han Huck Yang, Mohit Chhabra, Y. C. Liu, Quan Kong, Tomoaki Yoshinaga, Tomokazu Murakami
Robust Unsupervised Multi-Object Tracking In Noisy Environments. ICIP (2021)
Chao-Han Huck Yang, Mohit Chhabra, Y.-C. Liu, Quan Kong, Tomoaki Yoshinaga, Tomokazu Murakami
Robust Unsupervised Multi-Object Tracking in Noisy Environments. CoRR (2021)
Soichiro Okazaki, Quan Kong, Tomoaki Yoshinaga
A Multi-Modal Fusion Approach for Audio-Visual Scene Classification Enhanced by CLIP Variants. DCASE (2021)
Quan Kong, Wenpeng Wei, Ziwei Deng, Tomoaki Yoshinaga, Tomokazu Murakami
Cycle-Contrast for Self-Supervised Video Representation Learning. NeurIPS (2020)
Koichiro Ito, Quan Kong, Shota Horiguchi, Takashi Sumiyoshi, Kenji Nagamatsu
Anticipating the Start of User Interaction for Service Robot in the Wild. ICRA (2020)
Quan Kong, Wenpeng Wei, Ziwei Deng, Tomoaki Yoshinaga, Tomokazu Murakami
Cycle-Contrast for Self-Supervised Video Representation Learning. CoRR (2020)
Soichiro Okazaki, Quan Kong, Martin Klinkigt, Tomoaki Yoshinaga
Hitachi at TRECVID DSDI 2020. TRECVID (2020)
Quan Kong, Bin Tong, Martin Klinkigt, Yuki Watanabe, Naoto Akira, Tomokazu Murakami
Active Generative Adversarial Network for Image Classification. CoRR (2019)
Ziwei Deng, Quan Kong, Tomokazu Murakami
Towards Efficient Instance Segmentation with Hierarchical Distillation. ICCV Workshops (2019)
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)
Quan Kong, Bin Tong, Martin Klinkigt, Yuki Watanabe, Naoto Akira, Tomokazu Murakami
Active Generative Adversarial Network for Image Classification. AAAI (2019)
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)
Bin Tong, Martin Klinkigt, Junwen Chen, Xiankun Cui, Quan Kong, Tomokazu Murakami, Yoshiyuki Kobayashi
Adversarial Zero-shot Learning With Semantic Augmentation. AAAI (2018)
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)
Taiki Miyanishi, Junichiro Hirayama, Quan Kong, Takuya Maekawa, Hiroki Moriya, Takayuki Suyama
Egocentric Video Search via Physical Interactions. AAAI (2016)
Quan Kong, Takuya Maekawa, Taiki Miyanishi, Takayuki Suyama
Selecting home appliances with smart glass based on contextual information. UbiComp (2016)
Quan Kong, Takuya Maekawa
Reusing training data with generative/discriminative hybrid model for practical acceleration-based activity recognition. Computing 96 (9) (2014)
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) (2014)
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)
Yuki Tsuda, Quan Kong, Takuya Maekawa
Detecting and correcting WiFi positioning errors. UbiComp (2013)
Quan Kong, Takuya Maekawa
Sharing training data among different activity classes. UbiComp (Adjunct Publication) (2013)
Fakhar Anjam, Quan Kong, Roel Seedorf, Stephan Wong
A Run-Time Task Migration Scheme for an Adjustable Issue-Slots Multi-core Processor. ARC (2012)