A Run-Time Task Migration Scheme for an Adjustable Issue-Slots Multi-core Processor. - Fakhar Anjam; Quan Kong; Roel Seedorf; Stephan Wong (ARC, 2012)

Sharing training data among different activity classes. - Quan Kong; Takuya Maekawa (UbiComp (Adjunct Publication), 2013)

Detecting and correcting WiFi positioning errors. - Yuki Tsuda; Quan Kong; Takuya Maekawa (UbiComp, 2013)

Identifying outlets at which electrical appliances are used by electrical wire sensing to gain positional information about appliance use. - Quan Kong; Takuya Maekawa (UbiComp, 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)

Reusing training data with generative/discriminative hybrid model for practical acceleration-based activity recognition. - Quan Kong; Takuya Maekawa (Computing, 2014)

Egocentric Video Search via Physical Interactions. - Taiki Miyanishi; Junichiro Hirayama; Quan Kong; Takuya Maekawa; Hiroki Moriya; Takayuki Suyama (AAAI, 2016)

Selecting home appliances with smart glass based on contextual information. - Quan Kong; Takuya Maekawa; Taiki Miyanishi; Takayuki Suyama (UbiComp, 2016)

Adversarial Zero-shot Learning With Semantic Augmentation. - Bin Tong; Martin Klinkigt; Junwen Chen; Xiankun Cui; Quan Kong; Tomokazu Murakami; Yoshiyuki Kobayashi (AAAI, 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 (ACCV Workshops, 2018)

Active Generative Adversarial Network for Image Classification. - Quan Kong; Bin Tong; Martin Klinkigt; Yuki Watanabe; Naoto Akira; Tomokazu Murakami (AAAI, 2019)

MMAct: A Large-Scale Dataset for Cross Modal Human Action Understanding. - Quan Kong; Ziming Wu; Ziwei Deng; Martin Klinkigt; Bin Tong; Tomokazu Murakami (ICCV, 2019)

Towards Efficient Instance Segmentation with Hierarchical Distillation. - Ziwei Deng; Quan Kong; Tomokazu Murakami (ICCV Workshops, 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 002; Tomoaki Yoshinaga; Duy-Nhat Nguyen; et al. (TRECVID, 2019)

Anticipating the Start of User Interaction for Service Robot in the Wild. - Koichiro Ito; Quan Kong; Shota Horiguchi; Takashi Sumiyoshi; Kenji Nagamatsu (ICRA, 2020)

Cycle-Contrast for Self-Supervised Video Representation Learning. - Quan Kong; Wenpeng Wei; Ziwei Deng; Tomoaki Yoshinaga; Tomokazu Murakami (NeurIPS, 2020)

Hitachi at TRECVID DSDI 2020. - Soichiro Okazaki; Quan Kong; Martin Klinkigt; Tomoaki Yoshinaga (TRECVID, 2020)

A Multi-Modal Fusion Approach for Audio-Visual Scene Classification Enhanced by CLIP Variants. - Soichiro Okazaki; Quan Kong; Tomoaki Yoshinaga (DCASE, 2021)

Robust Unsupervised Multi-Object Tracking In Noisy Environments. - Chao-Han Huck Yang; Mohit Chhabra; Yi-Chieh Liu; Quan Kong; Tomoaki Yoshinaga; Tomokazu Murakami (ICIP, 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)

Efficient and Accurate Skeleton-Based Two-Person Interaction Recognition Using Inter-and Intra-Body Graphs. - Yoshiki Ito; Quan Kong; Kenichi Morita; Tomoaki Yoshinaga (ICIP, 2022)

Mask Atari for Deep Reinforcement Learning as POMDP Benchmarks. - Yang Shao; Quan Kong; Tadayuki Matsumura; Taiki Fuji; Kiyoto Ito; Hiroyuki Mizuno (CoRR, 2022)

NormFuse: Infrared and Visible Image Fusion With Pixel-Adaptive Normalization. - Quan Kong; Huabing Zhou; Yuntao Wu (IEEE CAA J. Autom. Sinica, 2022)

Hierarchical contrastive adaptation for cross-domain object detection. - Ziwei Deng; Quan Kong; Naoto Akira; Tomoaki Yoshinaga (Mach. Vis. Appl., 2022)

Self-Supervised Video Representation Learning via Latent Time Navigation. - Di Yang 002; Yaohui Wang 001; Quan Kong; Antitza Dantcheva; Lorenzo Garattoni; Gianpiero Francesca; François Brémond (AAAI, 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 001; Norimasa Kobori (CVPR, 2023)

LAC - Latent Action Composition for Skeleton-based Action Segmentation. - Di Yang 002; Yaohui Wang 001; Antitza Dantcheva; Quan Kong; Lorenzo Garattoni; Gianpiero Francesca; François Brémond (ICCV, 2023)

Remote Sensing Image Super-Resolution With Residual Split Attention Mechanism. - Xitong Chen; Yuntao Wu; Tao Lu 001; Quan Kong; Jiaming Wang 001; Yu Wang 140 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Infrared and Visible Image Fusion via Attention-Based Adaptive Feature Fusion. - Lei Wang; Ziming Hu; Quan Kong; Qian Qi; Qing Liao 006 (Entropy, 2023)

The 8th AI City Challenge. - Shuo Wang; David C. Anastasiu; Zheng Tang; Ming-Ching Chang; Yue Yao; Liang Zheng 001; Mohammed Shaiqur Rahman; Meenakshi S. Arya; Anuj Sharma; Pranamesh Chakraborty; Sanjita Prajapati; Quan Kong; et al. (CVPR Workshops, 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 001; Norimasa Kobori (ECCV (76), 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 (ECCV (30), 2024)

OE-CTST: Outlier-Embedded Cross Temporal Scale Transformer for Weakly-supervised Video Anomaly Detection. - Snehashis Majhi; Rui Dai 001; Quan Kong; Lorenzo Garattoni; Gianpiero Francesca; François Brémond (WACV, 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 001; Norimasa Kobori (CoRR, 2024)

SAMG: State-Action-Aware Offline-to-Online Reinforcement Learning with Offline Model Guidance. - Liyu Zhang 008; Haochi Wu; Xu Wan 001; Quan Kong; Ruilong Deng; Mingyang Sun (CoRR, 2024)

Human-Scene Network: A novel baseline with self-rectifying loss for weakly supervised video anomaly detection. - Snehashis Majhi; Rui Dai 001; Quan Kong; Lorenzo Garattoni; Gianpiero Francesca; François Brémond (Comput. Vis. Image Underst., 2024)

GA3CE: Unconstrained 3D Gaze Estimation with Gaze-Aware 3D Context Encoding. - Yuki Kawana; Shintaro Shiba; Quan Kong; Norimasa Kobori (CVPR, 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 (CVPR, 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 001; Ranjay Krishna (CVPR, 2025)

E-VLC: A Real-World Dataset for Event-based Visible Light Communication And Localization. - Shintaro Shiba; Quan Kong; Norimasa Kobori (CVPR Workshops, 2025)

Augmented Reality Applications Using Active Markers With An Event Camera. - Shintaro Shiba; Quan Kong; Norimasa Kobori (CVPR Workshops, 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 (WACV, 2025)

Multi-Level Adaptive Attention Fusion Network for Infrared and Visible Image Fusion. - Ziming Hu; Quan Kong; Qing Liao 006 (IEEE Signal Process. Lett., 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, 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, 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, 2025)

One Trajectory, One Token: Grounded Video Tokenization via Panoptic Sub-object Trajectory. - Chenhao Zheng; Jieyu Zhang 001; Mohammadreza Salehi; Ziqi Gao; Vishnu Iyengar; Norimasa Kobori; Quan Kong; Ranjay Krishna (CoRR, 2025)

Speculative Decoding via Hybrid Drafting and Rollback-Aware Branch Parallelism. - Yuhao Shen; Junyi Shen; Quan Kong; Tianyu Liu; Yao Lu; Cong Wang (CoRR, 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, 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; et al. (CoRR, 2025)