90 citations · 277 across the 20 of their papers we have counts for
13 papers · 1 filter
Sim2Real Object-Centric Keypoint Detection and Description
Chengliang Zhong, Chao Yang, Jinshan Qi +4
Keypoint detection and description play a central role in computer vision. Most existing methods are in the form of scene-level prediction, without returning the object classes of…
Self-supervised 3D Semantic Representation Learning for Vision-and-Language Navigation
Sinan Tan, Mengmeng Ge, Di Guo +2
In the Vision-and-Language Navigation task, the embodied agent follows linguistic instructions and navigates to a specific goal. It is important in many practical scenarios and has…
A novel multimodal fusion network based on a joint coding model for lane line segmentation
Zhenhong Zou, Xinyu Zhang, Huaping Liu +3
There has recently been growing interest in utilizing multimodal sensors to achieve robust lane line segmentation. In this paper, we introduce a novel multimodal fusion architectur…
Unsupervised Representation Learning by InvariancePropagation
Feng Wang, Huaping Liu, Di Guo +1
Unsupervised learning methods based on contrastive learning have drawn increasing attention and achieved promising results. Most of them aim to learn representations invariant to i…
Energy-based Periodicity Mining with Deep Features for Action Repetition Counting in Unconstrained Videos
Jianqin Yin, Yanchun Wu, Huaping Liu +3
Action repetition counting is to estimate the occurrence times of the repetitive motion in one action, which is a relatively new, important but challenging measurement problem. To…
TrajectoryNet: a new spatio-temporal feature learning network for human motion prediction
Xiaoli Liu, Jianqin Yin, Jin Liu +3
Human motion prediction is an increasingly interesting topic in computer vision and robotics. In this paper, we propose a new 2D CNN based network, TrajectoryNet, to predict future…