Search Results for author:
Found 9 papers, 2 papers with code
Universal Segmentation at Arbitrary Granularity with Language Instruction
This paper aims to achieve universal segmentation of arbitrary semantic level.
Ranked #1 on
Referring Expression Segmentation
on RefCOCOg-test
(using extra training data)
Bi-stream Pose Guided Region Ensemble Network for Fingertip Localization from Stereo Images
To mitigate these limitations and promote further research on hand pose estimation from stereo images, we propose a new large-scale binocular hand pose dataset called THU-Bi-Hand, offering a new perspective for fingertip localization.
Motion feature augmented network for dynamic hand gesture recognition from skeletal data
Dynamic hand gesture recognition has attracted increasing attention because of its importance for human–computer interaction.
SHPR-Net: Deep Semantic Hand Pose Regression From Point Clouds
The semantic segmentation network assigns semantic labels for each point in the point set.
Ranked #7 on
Hand Pose Estimation
on MSRA Hands
Two-Stream Binocular Network: Accurate Near Field Finger Detection Based On Binocular Images
Different from previous works, we propose a new framework, named Two-Stream Binocular Network (TSBnet) to detect fingertips from binocular images directly.
Interactive Hand Pose Estimation: Boosting accuracy in localizing extended finger joints
In the reality of HMI, joints in fingers stretching out, especially corresponding fingertips, are much more important than other joints.
Pose Guided Structured Region Ensemble Network for Cascaded Hand Pose Estimation
The proposed method extracts regions from the feature maps of convolutional neural network under the guide of an initially estimated pose, generating more optimal and representative features for hand pose estimation.
Ranked #8 on
Hand Pose Estimation
on HANDS 2017
Towards Good Practices for Deep 3D Hand Pose Estimation
3D hand pose estimation from single depth image is an important and challenging problem for human-computer interaction.
Ranked #4 on
Pose Estimation
on ITOP top-view
Region Ensemble Network: Improving Convolutional Network for Hand Pose Estimation
Hand pose estimation from monocular depth images is an important and challenging problem for human-computer interaction.
Ranked #11 on
Hand Pose Estimation
on MSRA Hands
