A scalable approach for understanding the visual structures of hand grasps. - Minjie Cai; Kris Makoto Kitani; Yoichi Sato 001 (ICRA, 2015)

Understanding Hand-Object Manipulation with Grasp Types and Object Attributes. - Minjie Cai; Kris M. Kitani; Yoichi Sato 001 (Robotics: Science and Systems, 2016)

Temporal Localization and Spatial Segmentation of Joint Attention in Multiple First-Person Videos. - Yifei Huang 002; Minjie Cai; Hiroshi Kera; Ryo Yonetani; Keita Higuchi; Yoichi Sato 001 (ICCV Workshops, 2017)

An Ego-Vision System for Hand Grasp Analysis. - Minjie Cai; Kris M. Kitani; Yoichi Sato 001 (IEEE Trans. Hum. Mach. Syst., 2017)

Predicting Gaze in Egocentric Video by Learning Task-Dependent Attention Transition. - Yifei Huang 002; Minjie Cai; Zhenqiang Li 002; Yoichi Sato 001 (ECCV (4), 2018)

Understanding hand-object manipulation by modeling the contextual relationship between actions, grasp types and object attributes. - Minjie Cai; Kris M. Kitani; Yoichi Sato 001 (CoRR, 2018)

Manipulation-Skill Assessment from Videos with Spatial Attention Network. - Zhenqiang Li 002; Yifei Huang 002; Minjie Cai; Yoichi Sato 001 (ICCV Workshops, 2019)

What I See Is What You See: Joint Attention Learning for First and Third Person Video Co-analysis. - Huangyue Yu; Minjie Cai; Yunfei Liu 001; Feng Lu 005 (ACM Multimedia, 2019)

Mutual Context Network for Jointly Estimating Egocentric Gaze and Actions. - Yifei Huang 002; Zhenqiang Li 002; Minjie Cai; Yoichi Sato 001 (CoRR, 2019)

Desktop Action Recognition From First-Person Point-of-View. - Minjie Cai; Feng Lu 005; Yue Gao 002 (IEEE Trans. Cybern., 2019)

Generalizing Hand Segmentation in Egocentric Videos With Uncertainty-Guided Model Adaptation. - Minjie Cai; Feng Lu 005; Yoichi Sato 001 (CVPR, 2020)

An Ego-Vision System for Discovering Human Joint Attention. - Yifei Huang 002; Minjie Cai; Yoichi Sato 001 (IEEE Trans. Hum. Mach. Syst., 2020)

Mutual Context Network for Jointly Estimating Egocentric Gaze and Action. - Yifei Huang 002; Minjie Cai; Zhenqiang Li 002; Feng Lu 005; Yoichi Sato 001 (IEEE Trans. Image Process., 2020)

NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results. - Ren Yang; Radu Timofte; Jing Liu 031; Yi Xu 003; Xinjian Zhang; Minyi Zhao; Shuigeng Zhou; Kelvin C. K. Chan; Shangchen Zhou; Xiangyu Xu 002; Chen Change Loy; Xin Li 106; et al. (CoRR, 2021)

Uncertainty-Aware Model Adaptation for Unsupervised Cross-Domain Object Detection. - Minjie Cai; Minyi Luo; Xionghu Zhong; Hao Chen 002 (CoRR, 2021)

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. - Yawei Li 001; Kai Zhang 008; Radu Timofte; Luc Van Gool; Fangyuan Kong; Mingxi Li; Songwei Liu; Zongcai Du; Ding Liu 001; Chenhui Zhou; Jingyi Chen; Qingrui Han; et al. (CVPR Workshops, 2022)

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. - Yawei Li 001; Kai Zhang 008; Radu Timofte; Luc Van Gool; Fangyuan Kong; Mingxi Li; Songwei Liu; Zongcai Du; Ding Liu 001; Chenhui Zhou; Jingyi Chen; Qingrui Han; et al. (CoRR, 2022)

EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition 2022: Team HNU-FPV Technical Report. - Nie Lin; Minjie Cai (CoRR, 2022)

MCA: Model Compromise Attacks against Federated Computing Power Networks. - Ke Zhang; Xiong Xiao; Zhenwen Peng; Minjie Cai (CECCT, 2023)

The Flaw Within: Identifying CVSS Score Discrepancies in the NVD. - Siqi Zhang; Minjie Cai; Mengyuan Zhang 001; Lianying Zhao; Xavier de Carné de Carnavalet (CloudCom, 2023)

NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results. - Yawei Li 001; Yulun Zhang 001; Radu Timofte; Luc Van Gool; Lei Yu; Youwei Li; Xinpeng Li 002; Ting Jiang; Qi Wu 017; Mingyan Han; Wenjie Lin; Chengzhi Jiang; et al. (CVPR Workshops, 2023)

A Single Residual Network with ESA Modules and Distillation. - Yucong Wang; Minjie Cai (CVPR Workshops, 2023)

Blind Estimation of Room Impulse Response from Monaural Reverberant Speech with Segmental Generative Neural Network. - Zhiheng Liao; Feifei Xiong; Juan Luo; Minjie Cai; Eng Siong Chng; Jinwei Feng; Xionghu Zhong (INTERSPEECH, 2023)

Emotion-Aware Audio-Driven Face Animation via Contrastive Feature Disentanglement. - Xin Ren; Juan Luo; Xionghu Zhong; Minjie Cai (INTERSPEECH, 2023)

Audio-Visual Event Localization by Learning Spatial and Semantic Co-Attention. - Cheng Xue; Xionghu Zhong; Minjie Cai; Hao Chen 002; Wenwu Wang 001 (IEEE Trans. Multim., 2023)

First- And Third-Person Video Co-Analysis By Learning Spatial-Temporal Joint Attention. - Huangyue Yu; Minjie Cai; Yunfei Liu 001; Feng Lu 005 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

DongTing: A large-scale dataset for anomaly detection of the Linux kernel. - Guoyun Duan; Yuanzhi Fu; Minjie Cai; Hao Chen 002; Jianhua Sun 002 (J. Syst. Softw., 2023)

Towards Exploring Cross-Regional and Cross-Platform Differences in Login Throttling. - Minjie Cai; Xavier de Carné de Carnavalet; Siqi Zhang; Lianying Zhao; Mengyuan Zhang 001 (NordSec, 2024)

MaDroid: A maliciousness-aware multifeatured dataset for detecting android malware. - Guoyun Duan; Haopeng Liu; Minjie Cai; Jianhua Sun 002; Hao Chen 002 (Comput. Secur., 2024)

Uncertainty-Aware and Class-Balanced Domain Adaptation for Object Detection in Driving Scenes. - Minjie Cai; Jianaresi Kezierbieke; Xionghu Zhong; Hao Chen 002 (IEEE Trans. Intell. Transp. Syst., 2024)

Egocentric Speaker Diarization with Vision-Guided Clustering and Adaptive Speech Re-detection. - He Huang; Haoyuan Yu; Daibo Liu; Haowen Chen; Minjie Cai (ICASSP, 2025)

SiMHand: Mining Similar Hands for Large-Scale 3D Hand Pose Pre-training. - Nie Lin; Takehiko Ohkawa; Yifei Huang 002; Mingfang Zhang 002; Minjie Cai; Ming Li; Ryosuke Furuta; Yoichi Sato 001 (ICLR, 2025)

DFL: A DOM sample generation oriented fuzzing framework for browser rendering engines. - Guoyun Duan; Hai Zhao; Minjie Cai; Jianhua Sun 002; Hao Chen 002 (Inf. Softw. Technol., 2025)

Amulet: Integrating Sensitive Information Access with Identity Authentication on Mobile Devices. - Daibo Liu; Yunpeng Feng; Baixing Liu; Taiyuan Zhang; Haowen Chen; Minjie Cai (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2025)