31 citations · 89 across the 15 of their papers we have counts for
9 papers · 1 filter
Reliable Student: Addressing Noise in Semi-Supervised 3D Object Detection
Farzad Nozarian, Shashank Agarwal, Farzaneh Rezaeianaran +4
Semi-supervised 3D object detection can benefit from the promising pseudo-labeling technique when labeled data is limited. However, recent approaches have overlooked the impact of…
Edge-aware Consistent Stereo Video Depth Estimation
Elena Kosheleva, Sunil Jaiswal, Faranak Shamsafar +3
Video depth estimation is crucial in various applications, such as scene reconstruction and augmented reality. In contrast to the naive method of estimating depths from images, a m…
High-Resolution Synthetic RGB-D Datasets for Monocular Depth Estimation
Aakash Rajpal, Noshaba Cheema, Klaus Illgner-Fehns +2
Accurate depth maps are essential in various applications, such as autonomous driving, scene reconstruction, point-cloud creation, etc. However, monocular-depth estimation (MDE) al…
IMos: Intent-Driven Full-Body Motion Synthesis for Human-Object Interactions
Anindita Ghosh, Rishabh Dabral, Vladislav Golyanik +2
Can we make virtual characters in a scene interact with their surrounding objects through simple instructions? Is it possible to synthesize such motion plausibly with a diverse set…
Synthesis of Compositional Animations from Textual Descriptions
Anindita Ghosh, Noshaba Cheema, Cennet Oguz +2
"How can we animate 3D-characters from a movie script or move robots by simply telling them what we would like them to do?" "How unstructured and complex can we make a sentence and…
Fine-Grained Semantic Segmentation of Motion Capture Data using Dilated Temporal Fully-Convolutional Networks
Noshaba Cheema, Somayeh Hosseini, Janis Sprenger +4
Human motion capture data has been widely used in data-driven character animation. In order to generate realistic, natural-looking motions, most data-driven approaches require cons…
Dilated Temporal Fully-Convolutional Network for Semantic Segmentation of Motion Capture Data
Noshaba Cheema, Somayeh Hosseini, Janis Sprenger +4
Semantic segmentation of motion capture sequences plays a key part in many data-driven motion synthesis frameworks. It is a preprocessing step in which long recordings of motion ca…
How should a fixed budget of dwell time be spent in scanning electron microscopy to optimize image quality?
Patrick Trampert, Faysal Bourghorbel, Pavel Potocek +4
In scanning electron microscopy, the achievable image quality is often limited by a maximum feasible acquisition time per dataset. Particularly with regard to three-dimensional or…
Space-Filling Curve Indices as Acceleration Structure for Exemplar-Based Inpainting
Tim Dahmen, Patrick Trampert, Pascal Peter +3
Exemplar-based inpainting is the process of reconstructing missing parts of an image by searching the remaining data for patches that fit seamlessly. The image is completed to a pl…