Markus Gross

Q: What Schools Are Affiliated With Markus Gross

Markus Gross is affiliated with the following schools: Saarland University, Technische Universität Darmstadt, ETH Zurich

Markus Gross's AcademicInfluence.com Rankings

Markus Gross

Computer Science

#1991

World Rank

#2069

Historical Rank

Computer Graphics

#43

World Rank

#45

Historical Rank

Database

#9750

World Rank

#10321

Historical Rank

computer-science Degrees

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Computer Science

Why Is Markus Gross Influential?

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According to Wikipedia, Markus Gross is a Professor of Computer science at the Swiss Federal Institute of Technology Zürich , head of its Computer Graphics Laboratory, and the director of Disney Research, Zurich. His research interests include physically based modeling, computer animation, immersive displays, and video technology. He has published more than 430 scientific papers on algorithms and methods in the field of computer graphics and computer vision, and holds more than 30 patents. He has graduated more than 60 Ph.D. students.

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Markus Gross's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Towards better understanding of gradient-based attribution methods for Deep Neural Networks (2017) (595)
Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Values Approximation (2019) (158)
Two-scale particle simulation (2011) (140)
A unified view of gradient-based attribution methods for Deep Neural Networks (2017) (114)
Gradient-Based Attribution Methods (2019) (102)
Learning-Based Sampling for Natural Image Matting (2019) (87)
Design and evaluation of the computer-based training program Calcularis for enhancing numerical cognition (2013) (79)
Dynamic Bayesian Networks for Student Modeling (2017) (77)
Computer-based multisensory learning in children with developmental dyslexia. (2007) (70)
Beyond Knowledge Tracing: Modeling Skill Topologies with Bayesian Networks (2014) (58)
Computer-based learning of spelling skills in children with and without dyslexia (2011) (58)
A Network Architecture for Point Cloud Classification via Automatic Depth Images Generation (2018) (48)
Neural Sequential Phrase Grounding (SeqGROUND) (2019) (41)
Deep Video Color Propagation (2018) (32)
When to stop?: towards universal instructional policies (2016) (31)
Modelling and Optimizing the Process of Learning Mathematics (2012) (27)
Temporally Coherent Clustering of Student Data (2016) (25)
A multimedia framework for effective language training (2007) (25)
Lossy Image Compression with Normalizing Flows (2020) (23)
Modelling and Optimizing Mathematics Learning in Children (2013) (23)
Cluster-Based Prediction of Mathematical Learning Patterns (2013) (21)
Efficient Feature Embeddings for Student Classification with Variational Auto-encoders (2017) (21)
Different parameters - same prediction: An analysis of learning curves (2014) (20)
Poisson-Based Inference for Perturbation Models in Adaptive Spelling Training (2010) (20)
Affective State Prediction Based on Semi-Supervised Learning from Smartphone Touch Data (2020) (17)
Monocular RGB Hand Pose Inference from Unsupervised Refinable Nets (2018) (17)
Towards a Framework for Modelling Engagement Dynamics in Multiple Learning Domains (2013) (15)
Modeling Engagement Dynamics in Spelling Learning (2011) (15)
A Neural Multi-sequence Alignment TeCHnique (NeuMATCH) (2018) (14)
Affective State Prediction in a Mobile Setting using Wearable Biometric Sensors and Stylus (2019) (13)
Therapy software for enhancing numerical cognition (2011) (8)
On the Performance Characteristics of Latent-Factor and Knowledge Tracing Models (2015) (8)
Stealth Assessment in ITS - A Study for Developmental Dyscalculia (2016) (7)
A Parallel Architecture for IISPH Fluids (2014) (7)
Glyph-Based Visualization of Affective States (2020) (5)
Computational Education using Latent Structured Prediction (2014) (5)
MineTime Insight: Visualizing Meeting Habits to Promote Informed Scheduling Decisions (2019) (4)
Generic Image Restoration with Flow Based Priors (2021) (4)
Shapley Value as Principled Metric for Structured Network Pruning (2020) (4)
Enriching Video Captions With Contextual Text (2020) (3)
Blind Image Restoration with Flow Based Priors (2020) (3)
Deep Compositional Denoising for High‐quality Monte Carlo Rendering (2021) (2)
Ten Years of Research on Intelligent Educational Games for Learning Spelling and Mathematics (2018) (2)
LSTM stack-based Neural Multi-sequence Alignment TeCHnique (NeuMATCH) (2018) (2)
A Phoneme-Based Student Model for Adaptive Spelling Training (2009) (2)
Image Reconstruction of Tablet Front Camera Recordings in Educational Settings (2020) (1)
Production-Ready Face Re-Aging for Visual Effects (2022) (1)
Microdosing: Knowledge Distillation for GAN based Compression (2022) (1)
Supplementary Material for Neural Sequential Phrase Grounding (SeqGROUND) (2019) (0)
DeepGarment : 3 D Garment Shape Estimation from a Single Image-Supplement (2017) (0)
Controllable Inversion of Black-Box Face-Recognition Models via Diffusion (2023) (0)
Modelling and Optimizing Mathematics Learning in Children (2013) (0)
Disentangled Dynamic Representations from Unordered Data (2018) (0)
Material for A Neural Multi-sequence Alignment TeCHnique ( NeuMATCH ) (2018) (0)
Session details: 3D acquisition and image based rendering (2002) (0)
HELMINGER ET AL.: KNOWLEDGE DISTILLATION FOR GAN BASED COMPRESSION 1 Microdosing: Knowledge Distillation for GAN based Compression (2021) (0)
Action Sequences Action Processing Similarity Computation Clustering Model Selection ABBCSDS ... DJJSGABB ... FGGHST ... (2016) (0)
Self-Supervised Effective Resolution Estimation with Adversarial Augmentations (2023) (0)
Supplemental Material for Robust Image Denoising using Kernel Predicting Networks (2021) (0)
Erratum to: Computer-based learning of spelling skills in children with and without dyslexia (2012) (0)
Supplementary Material-Deep Video Color Propagation (2018) (0)
SegNet SynthNet α Point Transformation Depth Rendering Point Sampling Depth Rendering Input Pose Depth Loss-PCL Depth RGB Pair Update (2018) (0)

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What Schools Are Affiliated With Markus Gross?

Markus Gross is affiliated with the following schools:

Markus Gross's Academic­Influence.com Rankings

Why Is Markus Gross Influential?

Markus Gross's Published Works

Published Works

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What Schools Are Affiliated With Markus Gross?

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Markus Gross's AcademicInfluence.com Rankings