• Publications
  • Influence
The Cityscapes Dataset for Semantic Urban Scene Understanding
This work introduces Cityscapes, a benchmark suite and large-scale dataset to train and test approaches for pixel-level and instance-level semantic labeling, and exceeds previous attempts in terms of dataset size, annotation richness, scene variability, and complexity.
Pedestrian Detection: An Evaluation of the State of the Art
An extensive evaluation of the state of the art in a unified framework of monocular pedestrian detection using sixteen pretrained state-of-the-art detectors across six data sets and proposes a refined per-frame evaluation methodology.
2D Human Pose Estimation: New Benchmark and State of the Art Analysis
A novel benchmark "MPII Human Pose" is introduced that makes a significant advance in terms of diversity and difficulty, a contribution that is required for future developments in human body models.
Generative Adversarial Text to Image Synthesis
A novel deep architecture and GAN formulation is developed to effectively bridge advances in text and image modeling, translating visual concepts from characters to pixels.
Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly
A new zero-shot learning dataset is proposed, the Animals with Attributes 2 (AWA2) dataset which is made publicly available both in terms of image features and the images themselves and compares and analyzes a significant number of the state-of-the-art methods in depth.
Evaluation of output embeddings for fine-grained image classification
This project shows that compelling classification performance can be achieved on fine-grained categories even without labeled training data, and establishes a substantially improved state-of-the-art on the Animals with Attributes and Caltech-UCSD Birds datasets.
Feature Generating Networks for Zero-Shot Learning
A novel generative adversarial network (GAN) that synthesizes CNN features conditioned on class-level semantic information, offering a shortcut directly from a semantic descriptor of a class to a class-conditional feature distribution.
Analyzing appearance and contour based methods for object categorization
  • B. Leibe, B. Schiele
  • Computer Science
    IEEE Computer Society Conference on Computer…
  • 18 June 2003
A new database specifically tailored to the task of object categorization is presented, which contains high-resolution color images of 80 objects from 8 different categories and is used to analyze the performance of several appearance and contour based methods.
CityPersons: A Diverse Dataset for Pedestrian Detection
This work revisits CNN design and point out key adaptations, enabling plain FasterRCNN to obtain state-of-the-art results on the Caltech dataset, and introduces CityPersons, a new set of person annotations on top of the Cityscapes dataset, to achieve further improvement from more and better data.
A tutorial on human activity recognition using body-worn inertial sensors
This tutorial aims to provide a comprehensive hands-on introduction for newcomers to the field of human activity recognition using on-body inertial sensors and describes the concept of an Activity Recognition Chain (ARC) as a general-purpose framework for designing and evaluating activity recognition systems.