Search Results for author:
Found 10 papers, 5 papers with code
Estimating Generic 3D Room Structures from 2D Annotations
Based on these 2D annotations, we automatically reconstruct 3D plane equations for the structural elements and their spatial extent in the scene, and connect adjacent elements at the appropriate contact edges.
CAD-Estate: Large-scale CAD Model Annotation in RGB Videos
We propose a method for annotating videos of complex multi-object scenes with a globally-consistent 3D representation of the objects.
RayTran: 3D pose estimation and shape reconstruction of multiple objects from videos with ray-traced transformers
We propose a transformer-based neural network architecture for multi-object 3D reconstruction from RGB videos.
Vid2CAD: CAD Model Alignment using Multi-View Constraints from Videos
We address the task of aligning CAD models to a video sequence of a complex scene containing multiple objects.
Efficient Full Image Interactive Segmentation by Leveraging Within-image Appearance Similarity
We leverage a key observation: propagation from labeled to unlabeled pixels does not necessarily require class-specific knowledge, but can be done purely based on appearance similarity within an image.
CoReNet: Coherent 3D scene reconstruction from a single RGB image
Furthermore, we adapt our model to address the harder task of reconstructing multiple objects from a single image.
C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds
Flow-based generative models have highly desirable properties like exact log-likelihood evaluation and exact latent-variable inference, however they are still in their infancy and have not received as much attention as alternative generative models.
Large-scale interactive object segmentation with human annotators
Manually annotating object segmentation masks is very time consuming.
The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale
We present Open Images V4, a dataset of 9. 2M images with unified annotations for image classification, object detection and visual relationship detection.
Revisiting knowledge transfer for training object class detectors
We propose to revisit knowledge transfer for training object detectors on target classes from weakly supervised training images, helped by a set of source classes with bounding-box annotations.
