429 citations · 880 across the 60 of their papers we have counts for
8 papers · 1 filter
Efficient video annotation with visual interpolation and frame selection guidance
A. Kuznetsova, A. Talati, Y. Luo +2
We introduce a unified framework for generic video annotation with bounding boxes. Video annotation is a longstanding problem, as it is a tedious and time-consuming process. We tac…
From Points to Multi-Object 3D Reconstruction
Francis Engelmann, Konstantinos Rematas, Bastian Leibe +1
We propose a method to detect and reconstruct multiple 3D objects from a single RGB image. The key idea is to optimize for detection, alignment and shape jointly over all objects i…
Uncalibrated Neural Inverse Rendering for Photometric Stereo of General Surfaces
Berk Kaya, Suryansh Kumar, Carlos Oliveira +2
This paper presents an uncalibrated deep neural network framework for the photometric stereo problem. For training models to solve the problem, existing neural network-based method…
Vid2CAD: CAD Model Alignment using Multi-View Constraints from Videos
Kevis-Kokitsi Maninis, Stefan Popov, Matthias Nießner +1
We address the task of aligning CAD models to a video sequence of a complex scene containing multiple objects. Our method can process arbitrary videos and fully automatically recov…
DeFMO: Deblurring and Shape Recovery of Fast Moving Objects
Denys Rozumnyi, Martin R. Oswald, Vittorio Ferrari +2
Objects moving at high speed appear significantly blurred when captured with cameras. The blurry appearance is especially ambiguous when the object has complex shape or texture. In…
Efficient Full Image Interactive Segmentation by Leveraging Within-image Appearance Similarity
Mykhaylo Andriluka, Stefano Pellegrini, Stefan Popov +1
We propose a new approach to interactive full-image semantic segmentation which enables quickly collecting training data for new datasets with previously unseen semantic classes (A…