Stefan Roth
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German computer scientist
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Stefan Rothcomputer-science Degrees
Computer Science
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Machine Learning
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Computer Science
Stefan Roth's Degrees
- PhD Computer Science University of Mannheim
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Why Is Stefan Roth Influential?
(Suggest an Edit or Addition)According to Wikipedia, Stefan Roth is a German computer scientist, professor of computer science and dean of the department of computer science of the Technische Universität Darmstadt. He heads the Visual Inference Lab. He is known for his research on computer vision and machine learning techniques in computer vision. His research focuses on recognition and tracking of people and objects, scene understanding, statistical image modeling and processing and motion modeling and prediction.
Stefan Roth'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
- The Cityscapes Dataset for Semantic Urban Scene Understanding (2016) (7872)
- A Database and Evaluation Methodology for Optical Flow (2007) (2607)
- Secrets of optical flow estimation and their principles (2010) (1516)
- Playing for Data: Ground Truth from Computer Games (2016) (1423)
- MOT16: A Benchmark for Multi-Object Tracking (2016) (1200)
- Fields of Experts: a framework for learning image priors (2005) (1118)
- People-tracking-by-detection and people-detection-by-tracking (2008) (961)
- Pictorial structures revisited: People detection and articulated pose estimation (2009) (866)
- Fields of Experts (2009) (770)
- MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking (2015) (604)
- A Quantitative Analysis of Current Practices in Optical Flow Estimation and the Principles Behind Them (2013) (577)
- Monocular 3D pose estimation and tracking by detection (2010) (566)
- Continuous Energy Minimization for Multitarget Tracking (2014) (560)
- Shrinkage Fields for Effective Image Restoration (2014) (477)
- Tracking loose-limbed people (2004) (461)
- UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss (2017) (436)
- Benchmarking Denoising Algorithms with Real Photographs (2017) (411)
- Discrete-continuous optimization for multi-target tracking (2012) (350)
- On the Spatial Statistics of Optical Flow (2005) (306)
- MOT20: A benchmark for multi object tracking in crowded scenes (2020) (283)
- Learning Optical Flow (2008) (270)
- Neural Nearest Neighbors Networks (2018) (259)
- Fusion Moves for Markov Random Field Optimization (2010) (248)
- The Cityscapes Dataset (2015) (237)
- Efficient Belief Propagation with Learned Higher-Order Markov Random Fields (2006) (221)
- 3D Scene Flow Estimation with a Piecewise Rigid Scene Model (2015) (214)
- Piecewise Rigid Scene Flow (2013) (213)
- Detection- and Trajectory-Level Exclusion in Multiple Object Tracking (2013) (207)
- FusionFlow: Discrete-continuous optimization for optical flow estimation (2008) (182)
- Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation (2019) (181)
- Multi-Target Tracking by Discrete-Continuous Energy Minimization (2016) (150)
- A generative perspective on MRFs in low-level vision (2010) (147)
- Lightweight Probabilistic Deep Networks (2018) (129)
- Matryoshka Networks: Predicting 3D Geometry via Nested Shape Layers (2018) (118)
- Tracking the Trackers: An Analysis of the State of the Art in Multiple Object Tracking (2017) (115)
- Discriminative Non-blind Deblurring (2013) (114)
- Vision based victim detection from unmanned aerial vehicles (2010) (108)
- MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking (2020) (106)
- Monocular Visual Scene Understanding: Understanding Multi-Object Traffic Scenes (2013) (104)
- Single-Stage Semantic Segmentation From Image Labels (2020) (103)
- An Evaluation of Data Costs for Optical Flow (2013) (99)
- Challenges of Ground Truth Evaluation of Multi-target Tracking (2013) (98)
- 3D scene flow estimation with a rigid motion prior (2011) (97)
- Learning rotation-aware features: From invariant priors to equivariant descriptors (2012) (94)
- Learning People Detectors for Tracking in Crowded Scenes (2013) (94)
- Monocular 3D Scene Modeling and Inference: Understanding Multi-Object Traffic Scenes (2010) (94)
- Specular Flow and the Recovery of Surface Structure (2006) (92)
- Self-supervised Augmentation Consistency for Adapting Semantic Segmentation (2021) (88)
- Monocular 3D scene understanding with explicit occlusion reasoning (2011) (82)
- Discriminative Appearance Models for Pictorial Structures (2012) (81)
- MirrorFlow: Exploiting Symmetries in Joint Optical Flow and Occlusion Estimation (2017) (81)
- Cascades of Regression Tree Fields for Image Restoration (2014) (81)
- Efficient Multi-cue Scene Segmentation (2013) (80)
- Semantic Stixels: Depth is not enough (2016) (77)
- Detail-Preserving Pooling in Deep Networks (2018) (76)
- Bayesian deblurring with integrated noise estimation (2011) (73)
- Object Detection in Multi-view X-Ray Images (2012) (73)
- Steerable Random Fields (2007) (72)
- Self-Supervised Monocular Scene Flow Estimation (2020) (71)
- An analytical formulation of global occlusion reasoning for multi-target tracking (2011) (71)
- CVPR19 Tracking and Detection Challenge: How crowded can it get? (2019) (70)
- Discriminative structure learning of hierarchical representations for object detection (2009) (69)
- Visual People Detection - Different Models, Comparison and Discussion (2009) (67)
- View-Consistent 3D Scene Flow Estimation over Multiple Frames (2014) (66)
- Stixmantics: A Medium-Level Model for Real-Time Semantic Scene Understanding (2014) (65)
- Joint Optical Flow and Temporally Consistent Semantic Segmentation (2016) (61)
- Discriminative shape from shading in uncalibrated illumination (2015) (57)
- Automatic discovery of meaningful object parts with latent CRFs (2010) (56)
- A Multimodal Translation-Based Approach for Knowledge Graph Representation Learning (2018) (48)
- Stereo Video Deblurring (2016) (43)
- ProbFlow: Joint Optical Flow and Uncertainty Estimation (2017) (43)
- Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring (2021) (42)
- The Stixel World: A medium-level representation of traffic scenes (2017) (41)
- Gibbs likelihoods for Bayesian tracking (2004) (39)
- Driving with Style: Inverse Reinforcement Learning in General-Purpose Planning for Automated Driving (2019) (37)
- Noise-Blind Image Deblurring (2017) (37)
- Evaluation of Convex Optimization Techniques for the Weighted Graph-Matching Problem in Computer Vision (2001) (35)
- Normalized Blind Deconvolution (2018) (32)
- A Semantic World Model for Urban Search and Rescue Based on Heterogeneous Sensors (2010) (31)
- High-Order Markov Random Fields for Low-Level Vision (2007) (30)
- Discrete-Continuous Optimization for Optical Flow Estimation (2009) (26)
- Latent Normalizing Flows for Many-to-Many Cross-Domain Mappings (2020) (25)
- Self-Supervised Multi-Frame Monocular Scene Flow (2021) (25)
- Interleaved Regression Tree Field Cascades for Blind Image Deconvolution (2015) (25)
- How Well Do Filter-Based MRFs Model Natural Images? (2012) (23)
- Parametric Object Motion from Blur (2016) (21)
- Optical Flow Estimation in the Deep Learning Age (2020) (21)
- Denoising Archival Films using a Learned Bayesian Model (2006) (20)
- xGQA: Cross-Lingual Visual Question Answering (2021) (20)
- Object-Level Priors for Stixel Generation (2014) (19)
- Evaluation of a convex relaxation to a quadratic assignment matching approach for relational object views (2007) (19)
- Diverse Image Captioning with Context-Object Split Latent Spaces (2020) (18)
- Deep Video Deblurring: The Devil is in the Details (2019) (18)
- Boosting Monocular Depth with Panoptic Segmentation Maps (2021) (15)
- Real-time Stereo-Image Stitching using GPU-based Belief Propagation (2009) (15)
- Localized Image Blur Removal through Non-parametric Kernel Estimation (2014) (14)
- Markov Decision Process for Video Generation (2019) (14)
- Multimodal Frame Identification with Multilingual Evaluation (2018) (13)
- Field of experts (2011) (13)
- Automatic Registration of Images to Untextured Geometry Using Average Shading Gradients (2017) (13)
- Modeling Neural Population Spiking Activity with Gibbs Distributions (2005) (12)
- Learning Spatially-Variant MAP Models for Non-blind Image Deblurring (2021) (12)
- Tree-Structured Models for Efficient Multi-Cue Scene Labeling (2017) (12)
- Pottics - The Potts Topic Model for Semantic Image Segmentation (2012) (12)
- Registering Images to Untextured Geometry Using Average Shading Gradients (2015) (11)
- Actor-Critic Instance Segmentation (2019) (11)
- Dense Unsupervised Learning for Video Segmentation (2021) (11)
- Multi-view X-ray R-CNN (2018) (9)
- A discriminative approach to perspective shape from shading in uncalibrated illumination (2015) (9)
- Computer Vision – ECCV 2018 Workshops (2018) (8)
- LR-CNN: Local-aware Region CNN for Vehicle Detection in Aerial Imagery (2020) (8)
- Normalizing Flows With Multi-Scale Autoregressive Priors (2020) (8)
- Probabilistic Pixel-Adaptive Refinement Networks (2020) (8)
- DWDN: Deep Wiener Deconvolution Network for Non-Blind Image Deblurring (2021) (7)
- Planning on the fast lane: Learning to interact using attention mechanisms in path integral inverse reinforcement learning (2020) (7)
- Specular Flow and the Perception of Surface Reflectance (2010) (6)
- Joint Wasserstein Autoencoders for Aligning Multimodal Embeddings (2019) (6)
- Driving Style Encoder: Situational Reward Adaptation for General-Purpose Planning in Automated Driving (2019) (6)
- Fast Axiomatic Attribution for Neural Networks (2021) (6)
- Mean Field for Continuous High-Order MRFs (2012) (5)
- Texture Synthesis: From Convolutional RBMs to Efficient Deterministic Algorithms (2014) (5)
- Robust Multi-image HDR Reconstruction for the Modulo Camera (2017) (4)
- Interactive Data Analytics for the Humanities (2017) (4)
- 3D Anisotropic Diffusion on GPUs by Closed-Form Local Tensor Computations (2013) (4)
- Analysis of a Deterministic Annealing Method for Graph Matching and Quadratic Assignment Problems in Computer Vision (2001) (3)
- Learning Task-Specific Generalized Convolutions in the Permutohedral Lattice (2019) (3)
- Privacy Preserving Multi-target Tracking (2014) (2)
- Connecting non-quadratic variational models and MRFs (2011) (2)
- Stochastic Variational Inference with Gradient Linearization (2018) (2)
- Computer Vision – ECCV 2018 Workshops (2018) (2)
- Performance Evaluation of a Convex Relaxation Approach to the Quadratic Assignment of Relational Object Views (2002) (2)
- DEEPLIO: DEEP LIDAR INERTIAL SENSOR FUSION FOR ODOMETRY ESTIMATION (2021) (2)
- Computer Vision – ECCV 2018 Workshops (2018) (2)
- Sampling-free Variational Inference for Neural Networks with Multiplicative Activation Noise (2021) (2)
- Semantic Self-adaptation: Enhancing Generalization with a Single Sample (2022) (1)
- Fusion Moves for (2010) (1)
- Computer Vision – ECCV 2018 Workshops (2018) (1)
- Denoising Archival Films using a Learned (2007) (1)
- S2-Flow: Joint Semantic and Style Editing of Facial Images (2022) (1)
- TxT: Crossmodal End-to-End Learning with Transformers (2021) (1)
- Proceedings of the 32nd DAGM conference on Pattern recognition (2010) (1)
- ProbFlow : Joint Optical Flow and Uncertainty Estimation – Supplemental Material – (2017) (0)
- Actor-Critic Instance Segmentation – Supplemental Material – (2019) (0)
- Benchmarking Denoising Algorithms with Real Photographs – Supplemental Material – (2017) (0)
- Parametric Object Motion from Blur – Supplementary Material – (2016) (0)
- DENOISINGARCHIVALFILMSUSINGA LEARNED BAYESIANMODEL (2006) (0)
- Piecewise Rigid 3D Scene Flow (2014) (0)
- Steerable random fields for image restoration and inpainting (2011) (0)
- Pattern Recognition - 32nd DAGM Symposium, Darmstadt, Germany, September 22-24, 2010. Proceedings (2010) (0)
- Discriminative Shape from Shading in Uncalibrated Illumination – Supplementary Material – (2015) (0)
- Automatic Registration of Images to Untextured Geometry Using Average Shading Gradients (2017) (0)
- Neural, Multimodal, Energy-based Approach for Knowledge Graph Completion (2017) (0)
- Computer Vision – ECCV 2018 Workshops Munich, Germany, September 8-14, 2018, Proceedings, Part VI (2019) (0)
- Discriminative Appearance Models for Pictorial Structures (2011) (0)
- Inferring Human Knowledgeability from Eye Gaze in Mobile Learning Environments (2018) (0)
- 3D Scene Flow Estimation with a Piecewise Rigid Scene Model (2015) (0)
- Semantically Selective Augmentation for Deep Compact Person Re-Identification (2018) (0)
- Computer Vision – ECCV 2018 Workshops (2018) (0)
- Towards Edge-based Representations for Image-to-Geometry Registration Working Paper (2014) (0)
- Efficient Feature Extraction for High-resolution Video Frame Interpolation (2022) (0)
- VMV 2014 : Vision, Modeling, and Visualization (2014) (0)
- A Quantitative Analysis of Current Practices in Optical Flow Estimation and the Principles Behind Them (2013) (0)
- Harvesting Dynamic 3D Worlds from Commodity Sensor Clouds (2016) (0)
- PixelPyramids: Exact Inference Models from Lossless Image Pyramids (2021) (0)
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