63 citations · 94 across the 12 of their papers we have counts for
12 papers
Mx2M: Masked Cross-Modality Modeling in Domain Adaptation for 3D Semantic Segmentation
Boxiang Zhang, Zunran Wang, Yonggen Ling +3
Existing methods of cross-modal domain adaptation for 3D semantic segmentation predict results only via 2D-3D complementarity that is obtained by cross-modal feature matching. Howe…
A Miniaturised Camera-based Multi-Modal Tactile Sensor
Kaspar Althoefer, Yonggen Ling, Wanlin Li +3
In conjunction with huge recent progress in camera and computer vision technology, camera-based sensors have increasingly shown considerable promise in relation to tactile sensing.…
HVC-Net: Unifying Homography, Visibility, and Confidence Learning for Planar Object Tracking
Haoxian Zhang, Yonggen Ling
Robust and accurate planar tracking over a whole video sequence is vitally important for many vision applications. The key to planar object tracking is to find object correspondenc…
Domain Adaptation Gaze Estimation by Embedding with Prediction Consistency
Zidong Guo, Zejian Yuan, Chong Zhang +3
Gaze is the essential manifestation of human attention. In recent years, a series of work has achieved high accuracy in gaze estimation. However, the inter-personal difference limi…
Learning End-to-End Action Interaction by Paired-Embedding Data Augmentation
Ziyang Song, Zejian Yuan, Chong Zhang +3
In recognition-based action interaction, robots' responses to human actions are often pre-designed according to recognized categories and thus stiff. In this paper, we specify a ne…
Attention-Oriented Action Recognition for Real-Time Human-Robot Interaction
Ziyang Song, Ziyi Yin, Zejian Yuan +4
Despite the notable progress made in action recognition tasks, not much work has been done in action recognition specifically for human-robot interaction. In this paper, we deeply…
Self-supervised Learning of Detailed 3D Face Reconstruction
Yajing Chen, Fanzi Wu, Zeyu Wang +3
In this paper, we present an end-to-end learning framework for detailed 3D face reconstruction from a single image. Our approach uses a 3DMM-based coarse model and a displacement m…
MVF-Net: Multi-View 3D Face Morphable Model Regression
Fanzi Wu, Linchao Bao, Yajing Chen +5
We address the problem of recovering the 3D geometry of a human face from a set of facial images in multiple views. While recent studies have shown impressive progress in 3D Morpha…
High-Precision Online Markerless Stereo Extrinsic Calibration
Yonggen Ling, Shaojie Shen
Stereo cameras and dense stereo matching algorithms are core components for many robotic applications due to their abilities to directly obtain dense depth measurements and their r…
Probabilistic Dense Reconstruction from a Moving Camera
Yonggen Ling, Kaixuan Wang, Shaojie Shen
This paper presents a probabilistic approach for online dense reconstruction using a single monocular camera moving through the environment. Compared to spatial stereo, depth estim…
Modeling Varying Camera-IMU Time Offset in Optimization-Based Visual-Inertial Odometry
Yonggen Ling, Linchao Bao, Zequn Jie +6
Combining cameras and inertial measurement units (IMUs) has been proven effective in motion tracking, as these two sensing modalities offer complementary characteristics that are s…
Left-Right Comparative Recurrent Model for Stereo Matching
Zequn Jie, Pengfei Wang, Yonggen Ling +4
Leveraging the disparity information from both left and right views is crucial for stereo disparity estimation. Left-right consistency check is an effective way to enhance the disp…