activity
20132024
most citedTowards a living earth simulator

31 citations · 89 across the 15 of their papers we have counts for

collaborators

17 papers

cs.CV2024★ 7 cited

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…

eess.IV2023★ 1 cited

Expanding Synthetic Real-World Degradations for Blind Video Super Resolution

Mehran Jeelani, Sadbhawna, Noshaba Cheema +3

Video super-resolution (VSR) techniques, especially deep-learning-based algorithms, have drastically improved over the last few years and shown impressive performance on synthetic…

cs.CV2023

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…

cs.CV2023

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…

cs.LG2022★ 3 cited

XEngine: Optimal Tensor Rematerialization for Neural Networks in Heterogeneous Environments

Manuela Schuler, Richard Membarth, Philipp Slusallek

Memory efficiency is crucial in training deep learning networks on resource-restricted devices. During backpropagation, forward tensors are used to calculate gradients. Despite the…

cs.CV2022

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…

cs.AR2021★ 7 cited

FLOWER: A comprehensive dataflow compiler for high-level synthesis

Puya Amiri, Arsène Pérard-Gayot, Richard Membarth +3

FPGAs have found their way into data centers as accelerator cards, making reconfigurable computing more accessible for high-performance applications. At the same time, new high-lev…

cs.CV2021

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…

cs.DC2020

Parallel Multi-Hypothesis Algorithm for Criticality Estimation in Traffic and Collision Avoidance

Eduardo Sánchez Morales, Richard Membarth, Andreas Gaull +5

Due to the current developments towards autonomous driving and vehicle active safety, there is an increasing necessity for algorithms that are able to perform complex criticality p…

cs.PL2020★ 30 cited

AnyHLS: High-Level Synthesis with Partial Evaluation

M. Akif Özkan, Arsène Pérard-Gayot, Richard Membarth +5

FPGAs excel in low power and high throughput computations, but they are challenging to program. Traditionally, developers rely on hardware description languages like Verilog or VHD…

cs.CV2019★ 3 cited

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…

cs.CV2018★ 5 cited

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…

cs.CV2018

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…

cs.CV2017★ 1 cited

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…

cs.PL2016

ManyDSL: A Host for Many Languages

Piotr Danilewski, Philipp Slusallek

Domain-specific languages are becoming increasingly important. Almost every application touches multiple domains. But how to define, use, and combine multiple DSLs within the same…

cs.PL2016★ 1 cited

Building Code with Dynamic Staging

Piotr Danilewski, Philipp Slusallek

When creating a new domain-specific language (DSL) it is common to embed it as a part of a flexible host language, rather than creating it entirely from scratch. The semantics of a…

physics.comp-ph2013★ 31 cited

Towards a living earth simulator

M. Paolucci, D. Kossman, R. Conte +17

The Living Earth Simulator (LES) is one of the core components of the FuturICT architecture. It will work as a federation of methods, tools, techniques and facilities supporting al…