Quan Kong

According to our database, Quan Kong authored at least 50 papers between 2012 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

The 9th AI City Challenge.

Zheng Tang, Shuo Wang, David C. Anastasiu, Ming-Ching Chang, Anuj Sharma, Quan Kong, Norimasa Kobori, Munkhjargal Gochoo, Ganzorig Batnasan, Munkh-Erdene Otgonbold, Fady Alnajjar, Jun-Wei Hsieh, Tomasz Kornuta, Xiaolong Li, Yilin Zhao, Han Zhang, Subhashree Radhakrishnan, Arihant Jain, Ratnesh Kumar, Vidya N. Murali, Yuxing Wang, Sameer Satish Pusegaonkar, Yizhou Wang, Sujit Biswas, Xunlei Wu, Zhedong Zheng, Pranamesh Chakraborty, Rama Chellappa

CoRR, August, 2025

Mixture of Experts Guided by Gaussian Splatters Matters: A new Approach to Weakly-Supervised Video Anomaly Detection.

Giacomo D'Amicantonio, Snehashis Majhi, Quan Kong, Lorenzo Garattoni, Gianpiero Francesca, François Brémond, Egor Bondarev

CoRR, August, 2025

Speculative Decoding via Hybrid Drafting and Rollback-Aware Branch Parallelism.

Yuhao Shen, Junyi Shen, Quan Kong, Tianyu Liu, Yao Lu, Cong Wang

CoRR, June, 2025

One Trajectory, One Token: Grounded Video Tokenization via Panoptic Sub-object Trajectory.

Chenhao Zheng, Jieyu Zhang, Mohammadreza Salehi, Ziqi Gao, Vishnu Iyengar, Norimasa Kobori, Quan Kong, Ranjay Krishna

CoRR, May, 2025

Distance Estimation in Outdoor Driving Environments Using Phase-only Correlation Method with Event Cameras.

Masataka Kobayashi, Shintaro Shiba, Quan Kong, Norimasa Kobori, Tsukasa Shimizu, Shan Lu, Takaya Yamazato

CoRR, May, 2025

Evaluation of Mobile Environment for Vehicular Visible Light Communication Using Multiple LEDs and Event Cameras.

Ryota Soga, Shintaro Shiba, Quan Kong, Norimasa Kobori, Tsukasa Shimizu, Shan Lu, Takaya Yamazato

CoRR, May, 2025

Just Dance with π! A Poly-modal Inductor for Weakly-supervised Video Anomaly Detection.

Snehashis Majhi, Giacomo D'Amicantonio, Antitza Dantcheva, Quan Kong, Lorenzo Garattoni, Gianpiero Francesca, Egor Bondarev, François Brémond

CoRR, May, 2025

Multi-Level Adaptive Attention Fusion Network for Infrared and Visible Image Fusion.

Ziming Hu, Quan Kong, Qing Liao

IEEE Signal Process. Lett., 2025

Guess Future Anomalies from Normalcy: Forecasting Abnormal Behavior in Real-World Videos.

Snehashis Majhi, Mohammed Guermal, Antitza Dantcheva, Quan Kong, Lorenzo Garattoni, Gianpiero Francesca, François Brémond

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Augmented Reality Applications Using Active Markers With An Event Camera.

Shintaro Shiba, Quan Kong, Norimasa Kobori

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

E-VLC: A Real-World Dataset for Event-based Visible Light Communication And Localization.

Shintaro Shiba, Quan Kong, Norimasa Kobori

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

Synthetic Visual Genome.

Jae Sung Park, Zixian Ma, Linjie Li, Chenhao Zheng, Cheng-Yu Hsieh, Ximing Lu, Khyathi Raghavi Chandu, Quan Kong, Norimasa Kobori, Ali Farhadi, Yejin Choi, Ranjay Krishna

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Just Dance with pi! A Poly-modal Inductor for Weakly-supervised Video Anomaly Detection.

Snehashis Majhi, Giacomo D'Amicantonio, Antitza Dantcheva, Quan Kong, Lorenzo Garattoni, Gianpiero Francesca, Egor Bondarev, François Brémond

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

GA3CE: Unconstrained 3D Gaze Estimation with Gaze-Aware 3D Context Encoding.

Yuki Kawana, Shintaro Shiba, Quan Kong, Norimasa Kobori

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Human-Scene Network: A novel baseline with self-rectifying loss for weakly supervised video anomaly detection.

Snehashis Majhi, Rui Dai, Quan Kong, Lorenzo Garattoni, Gianpiero Francesca, François Brémond

Comput. Vis. Image Underst., 2024

SAMG: State-Action-Aware Offline-to-Online Reinforcement Learning with Offline Model Guidance.

Liyu Zhang, Haochi Wu, Xu Wan, Quan Kong, Ruilong Deng, Mingyang Sun

CoRR, 2024

WTS: A Pedestrian-Centric Traffic Video Dataset for Fine-grained Spatial-Temporal Understanding.

Quan Kong, Yuki Kawana, Rajat Saini, Ashutosh Kumar, Jingjing Pan, Ta Gu, Yohei Ozao, Balazs Opra, David C. Anastasiu, Yoichi Sato, Norimasa Kobori

CoRR, 2024

OE-CTST: Outlier-Embedded Cross Temporal Scale Transformer for Weakly-supervised Video Anomaly Detection.

Snehashis Majhi, Rui Dai, Quan Kong, Lorenzo Garattoni, Gianpiero Francesca, François Brémond

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Reprojection Errors as Prompts for Efficient Scene Coordinate Regression.

Ting-Ru Liu, Hsuan-Kung Yang, Jou-Min Liu, Chun-Wei Huang, Tsung-Chih Chiang, Quan Kong, Norimasa Kobori, Chun-Yi Lee

Proceedings of the Computer Vision - ECCV 2024, 2024

WTS: A Pedestrian-Centric Traffic Video Dataset for Fine-Grained Spatial-Temporal Understanding.

Quan Kong, Yuki Kawana, Rajat Saini, Ashutosh Kumar, Jingjing Pan, Ta Gu, Yohei Ozao, Balazs Opra, Yoichi Sato, Norimasa Kobori

Proceedings of the Computer Vision - ECCV 2024, 2024

The 8th AI City Challenge.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Infrared and Visible Image Fusion via Attention-Based Adaptive Feature Fusion.

Lei Wang, Ziming Hu, Quan Kong, Qian Qi, Qing Liao

Entropy, March, 2023

Remote Sensing Image Super-Resolution With Residual Split Attention Mechanism.

Xitong Chen, Yuntao Wu, Tao Lu, Quan Kong, Jiaming Wang, Yu Wang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

LAC - Latent Action Composition for Skeleton-based Action Segmentation.

Di Yang, Yaohui Wang, Antitza Dantcheva, Quan Kong, Lorenzo Garattoni, Gianpiero Francesca, François Brémond

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DeCo: Decomposition and Reconstruction for Compositional Temporal Grounding via Coarse-to-Fine Contrastive Ranking.

Lijin Yang, Quan Kong, Hsuan-Kung Yang, Wadim Kehl, Yoichi Sato, Norimasa Kobori

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Self-Supervised Video Representation Learning via Latent Time Navigation.

Di Yang, Yaohui Wang, Quan Kong, Antitza Dantcheva, Lorenzo Garattoni, Gianpiero Francesca, François Brémond

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Hierarchical contrastive adaptation for cross-domain object detection.

Ziwei Deng, Quan Kong, Naoto Akira, Tomoaki Yoshinaga

Mach. Vis. Appl., 2022

NormFuse: Infrared and Visible Image Fusion With Pixel-Adaptive Normalization.

Quan Kong, Huabing Zhou, Yuntao Wu

IEEE CAA J. Autom. Sinica, 2022

Mask Atari for Deep Reinforcement Learning as POMDP Benchmarks.

Yang Shao, Quan Kong, Tadayuki Matsumura, Taiki Fuji, Kiyoto Ito, Hiroyuki Mizuno

CoRR, 2022

Efficient and Accurate Skeleton-Based Two-Person Interaction Recognition Using Inter-and Intra-Body Graphs.

Yoshiki Ito, Quan Kong, Kenichi Morita, Tomoaki Yoshinaga

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

Multi-Stream Adaptive Graph Convolutional Network Using Inter- and Intra-Body Graphs for Two-Person Interaction Recognition.

Yoshiki Ito, Kenichi Morita, Quan Kong, Tomoaki Yoshinaga

IEEE Access, 2021

Robust Unsupervised Multi-Object Tracking In Noisy Environments.

Chao-Han Huck Yang, Mohit Chhabra, Yi-Chieh Liu, Quan Kong, Tomoaki Yoshinaga, Tomokazu Murakami

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

A Multi-Modal Fusion Approach for Audio-Visual Scene Classification Enhanced by CLIP Variants.

Soichiro Okazaki, Quan Kong, Tomoaki Yoshinaga

Proceedings of the 6th Workshop on Detection and Classification of Acoustic Scenes and Events 2021 (DCASE 2021), 2021

2020

Hitachi at TRECVID DSDI 2020.

Soichiro Okazaki, Quan Kong, Martin Klinkigt, Tomoaki Yoshinaga

Proceedings of the 2020 TREC Video Retrieval Evaluation, 2020

Cycle-Contrast for Self-Supervised Video Representation Learning.

Quan Kong, Wenpeng Wei, Ziwei Deng, Tomoaki Yoshinaga, Tomokazu Murakami

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Anticipating the Start of User Interaction for Service Robot in the Wild.

Koichiro Ito, Quan Kong, Shota Horiguchi, Takashi Sumiyoshi, Kenji Nagamatsu

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

NII Hitachi UIT at TRECVID 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

Proceedings of the 2019 TREC Video Retrieval Evaluation, 2019

Towards Efficient Instance Segmentation with Hierarchical Distillation.

Ziwei Deng, Quan Kong, Tomokazu Murakami

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

MMAct: A Large-Scale Dataset for Cross Modal Human Action Understanding.

Quan Kong, Ziming Wu, Ziwei Deng, Martin Klinkigt, Bin Tong, Tomokazu Murakami

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Active Generative Adversarial Network for Image Classification.

Quan Kong, Bin Tong, Martin Klinkigt, Yuki Watanabe, Naoto Akira, Tomokazu Murakami

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Multimodal Deep Neural Networks Based Ensemble Learning for X-Ray Object Recognition.

Quan Kong, Naoto Akira, Bin Tong, Yuki Watanabe, Daisuke Matsubara, Tomokazu Murakami

Proceedings of the Computer Vision - ACCV 2018 Workshops, 2018

Adversarial Zero-shot Learning With Semantic Augmentation.

Bin Tong, Martin Klinkigt, Junwen Chen, Xiankun Cui, Quan Kong, Tomokazu Murakami, Yoshiyuki Kobayashi

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2016

Selecting home appliances with smart glass based on contextual information.

Quan Kong, Takuya Maekawa, Taiki Miyanishi, Takayuki Suyama

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

Egocentric Video Search via Physical Interactions.

Taiki Miyanishi, Junichiro Hirayama, Quan Kong, Takuya Maekawa, Hiroki Moriya, Takayuki Suyama

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2014

Reusing training data with generative/discriminative hybrid model for practical acceleration-based activity recognition.

Quan Kong, Takuya Maekawa

Computing, 2014

Developing discriminate model and comparative analysis of differentially expressed genes and pathways for bloodstream samples of diabetes mellitus type 2.

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

BMC Bioinform., 2014

Identifying outlets at which electrical appliances are used by electrical wire sensing to gain positional information about appliance use.

Quan Kong, Takuya Maekawa

Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014

2013

Detecting and correcting WiFi positioning errors.

Yuki Tsuda, Quan Kong, Takuya Maekawa

Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2013

Sharing training data among different activity classes.

Quan Kong, Takuya Maekawa

Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2013

2012

A Run-Time Task Migration Scheme for an Adjustable Issue-Slots Multi-core Processor.

Fakhar Anjam, Quan Kong, Roel Seedorf, Stephan Wong

Proceedings of the Reconfigurable Computing: Architectures, Tools and Applications, 2012