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Found 11 papers, 2 papers with code
Mx2M: Masked Cross-Modality Modeling in Domain Adaptation for 3D Semantic Segmentation
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.
A Miniaturised Camera-based Multi-Modal Tactile Sensor
The human tactile system is composed of various types of mechanoreceptors, each able to perceive and process distinct information such as force, pressure, texture, etc.
HVC-Net: Unifying Homography, Visibility, and Confidence Learning for Planar Object Tracking
Second, we jointly learn the homography and visibility that links camera-object relative motions with occlusions.
Domain Adaptation Gaze Estimation by Embedding with Prediction Consistency
In domain adaption, we design an embedding representation with prediction consistency to ensure that the linear relationship between gaze directions in different domains remains consistent on gaze space and embedding space.
Learning End-to-End Action Interaction by Paired-Embedding Data Augmentation
In recognition-based action interaction, robots' responses to human actions are often pre-designed according to recognized categories and thus stiff.
Attention-Oriented Action Recognition for Real-Time Human-Robot Interaction
Despite the notable progress made in action recognition tasks, not much work has been done in action recognition specifically for human-robot interaction.
Self-supervised Learning of Detailed 3D Face Reconstruction
The displacement map and the coarse model are used to render a final detailed face, which again can be compared with the original input image to serve as a photometric loss for the second stage.
MVF-Net: Multi-View 3D Face Morphable Model Regression
The main ingredient of the view alignment loss is a differentiable dense optical flow estimator that can backpropagate the alignment errors between an input view and a synthetic rendering from another input view, which is projected to the target view through the 3D shape to be inferred.
Probabilistic Dense Reconstruction from a Moving Camera
This paper presents a probabilistic approach for online dense reconstruction using a single monocular camera moving through the environment.
Robotics
Modeling Varying Camera-IMU Time Offset in Optimization-Based Visual-Inertial Odometry
Our approach is able to handle the rolling-shutter effects and imperfect sensor synchronization in a unified way.
Left-Right Comparative Recurrent Model for Stereo Matching
Left-right consistency check is an effective way to enhance the disparity estimation by referring to the information from the opposite view.
