60 citations · 91 across the 9 of their papers we have counts for
8 papers · 1 filter
SiMHand: Mining Similar Hands for Large-Scale 3D Hand Pose Pre-training
Nie Lin, Takehiko Ohkawa, Yifei Huang +5
We present a framework for pre-training of 3D hand pose estimation from in-the-wild hand images sharing with similar hand characteristics, dubbed SimHand. Pre-training with large-s…
EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition 2022: Team HNU-FPV Technical Report
Nie Lin, Minjie Cai
In this report, we present the technical details of our submission to the 2022 EPIC-Kitchens Unsupervised Domain Adaptation (UDA) Challenge. Existing UDA methods align the global f…
Uncertainty-Aware Model Adaptation for Unsupervised Cross-Domain Object Detection
Minjie Cai, Minyi Luo, Xionghu Zhong +1
This work tackles the unsupervised cross-domain object detection problem which aims to generalize a pre-trained object detector to a new target domain without labels. We propose an…
What I See Is What You See: Joint Attention Learning for First and Third Person Video Co-analysis
Huangyue Yu, Minjie Cai, Yunfei Liu +1
In recent years, more and more videos are captured from the first-person viewpoint by wearable cameras. Such first-person video provides additional information besides the traditio…
Manipulation-skill Assessment from Videos with Spatial Attention Network
Zhenqiang Li, Yifei Huang, Minjie Cai +1
Recent advances in computer vision have made it possible to automatically assess from videos the manipulation skills of humans in performing a task, which breeds many important app…
Mutual Context Network for Jointly Estimating Egocentric Gaze and Actions
Yifei Huang, Zhenqiang Li, Minjie Cai +1
In this work, we address two coupled tasks of gaze prediction and action recognition in egocentric videos by exploring their mutual context. Our assumption is that in the procedure…
Understanding hand-object manipulation by modeling the contextual relationship between actions, grasp types and object attributes
Minjie Cai, Kris Kitani, Yoichi Sato
This paper proposes a novel method for understanding daily hand-object manipulation by developing computer vision-based techniques. Specifically, we focus on recognizing hand grasp…
Predicting Gaze in Egocentric Video by Learning Task-dependent Attention Transition
Yifei Huang, Minjie Cai, Zhenqiang Li +1
We present a new computational model for gaze prediction in egocentric videos by exploring patterns in temporal shift of gaze fixations (attention transition) that are dependent on…