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Thomas Brox — most-cited papers & profile · Computer Vision
← authors
·
overview
Thomas Brox
32
papers ·
8358
citations ·
88
h-index
University of Freiburg
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
2016 · 7666 citations
Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation
2018 · 200 citations
A Multi-cut Formulation for Joint Segmentation and Tracking of Multiple Objects
2016 · 72 citations
Pixel-level Encoding and Depth Layering for Instance-level Semantic Labeling
2016 · 36 citations
Anomaly Detection with Conditioned Denoising Diffusion Models
2023 · 32 citations
Object Detection, Tracking, and Motion Segmentation for Object-level Video Segmentation
2016 · 30 citations
Lucid Data Dreaming for Video Object Segmentation
2017 · 24 citations
ECO: Efficient Convolutional Network for Online Video Understanding
2018 · 19 citations
Semi-Supervised Semantic Segmentation with High- and Low-level Consistency
2019 · 17 citations
Unsupervised Semantic Segmentation with Self-supervised Object-centric Representations
2022 · 16 citations
DeepUSPS: Deep Robust Unsupervised Saliency Prediction With Self-Supervision
2019 · 13 citations
Point-wise mutual information-based video segmentation with high temporal consistency
2016 · 6 citations
CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth
2019 · 6 citations
Localized Vision-Language Matching for Open-vocabulary Object Detection
2022 · 1 citations
Pixel-level Correspondence for Self-Supervised Learning from Video
2022 · 1 citations
Top co-authors
Bernt Schiele
· 4
Francesco Locatello
· 3
Margret Keuper
· 3
Carl-Johann Simon-Gabriel
· 2
Dominik Zietlow
· 2
Eddy Ilg
· 2
Max Horn
· 2
Maxim Tatarchenko
· 2
Sudhanshu Mittal
· 2
Tianjun Xiao
· 2
Yanwei Fu
· 2
Yi Zhu
· 2
Topics
Segmentation
Object Detection
3D Vision
Video Understanding
Tracking
Image Generation
Visual Language
Autonomous Driving
Medical Imaging
Image Restoration