Search Results for author:
Found 18 papers, 2 papers with code
FSRT: Facial Scene Representation Transformer for Face Reenactment from Factorized Appearance, Head-pose, and Facial Expression Features
The task of face reenactment is to transfer the head motion and facial expressions from a driving video to the appearance of a source image, which may be of a different person (cross-reenactment).
Learning Embeddings with Centroid Triplet Loss for Object Identification in Robotic Grasping
A crucial practical aspect for an object identification model is to be flexible in input size.
Attention-Based VR Facial Animation with Visual Mouth Camera Guidance for Immersive Telepresence Avatars
We present a hybrid method that uses both keypoints and direct visual guidance from a mouth camera.
Learning from SAM: Harnessing a Foundation Model for Sim2Real Adaptation by Regularization
We present a method for self-supervised domain adaptation for the scenario where annotated source domain data (e. g. from synthetic generation) is available, but the target domain data is completely unannotated.
VR Facial Animation for Immersive Telepresence Avatars
In a quick enrollment step, we capture a sequence of source images from the operator without the VR headset which contain all the important operator-specific appearance information.
Predicting Physical Object Properties from Video
Our approach consists of a physics engine and a correction estimator.
ConvPoseCNN2: Prediction and Refinement of Dense 6D Object Poses
Object pose estimation is a key perceptual capability in robotics.
Synthetic-to-Real Domain Adaptation using Contrastive Unpaired Translation
We utilize a state-of-the-art image-to-image translation method to adapt the synthetic images to the real domain, minimizing the domain gap in a learned manner.
Semantic Interaction in Augmented Reality Environments for Microsoft HoloLens
We explore this idea using the Microsoft HoloLens, with which we capture indoor environments and display interaction cues with known object classes.
SynPick: A Dataset for Dynamic Bin Picking Scene Understanding
We present SynPick, a synthetic dataset for dynamic scene understanding in bin-picking scenarios.
FaDIV-Syn: Fast Depth-Independent View Synthesis using Soft Masks and Implicit Blending
Novel view synthesis is required in many robotic applications, such as VR teleoperation and scene reconstruction.
Stillleben: Realistic Scene Synthesis for Deep Learning in Robotics
Training data is the key ingredient for deep learning approaches, but difficult to obtain for the specialized domains often encountered in robotics.
Visual Descriptor Learning from Monocular Video
In this paper, we propose a novel way to estimate dense correspondence on an RGB image where visual descriptors are learned from video examples by training a fully convolutional network.
ConvPoseCNN: Dense Convolutional 6D Object Pose Estimation
Instead we propose pixel-wise, dense prediction of both translation and orientation components of the object pose, where the dense orientation is represented in Quaternion form.
Refining 6D Object Pose Predictions using Abstract Render-and-Compare
Vision as inverse graphics is a promising concept for detailed scene analysis.
Autonomous Dual-Arm Manipulation of Familiar Objects
The entire pipeline can be executed on-board and is suitable for on-line grasping scenarios.
Robotics
Robust 6D Object Pose Estimation in Cluttered Scenes using Semantic Segmentation and Pose Regression Networks
Object pose estimation is a crucial prerequisite for robots to perform autonomous manipulation in clutter.
RGB-D Object Detection and Semantic Segmentation for Autonomous Manipulation in Clutter
Autonomous robotic manipulation in clutter is challenging.
