• Publications
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The Cityscapes Dataset for Semantic Urban Scene Understanding
TLDR
We introduce Cityscapes, a benchmark suite and large-scale dataset to train and test approaches for pixel-level and instance-level semantic labeling. Expand
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Pedestrian Detection: An Evaluation of the State of the Art
TLDR
We put together a large, well-annotated, and realistic monocular pedestrian detection data set and study the statistics of the size, position, and occlusion patterns of pedestrians in urban scenes. Expand
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2D Human Pose Estimation: New Benchmark and State of the Art Analysis
TLDR
We introduce a novel benchmark "MPII Human Pose" that makes a significant advance in terms of diversity and difficulty, a contribution that we feel is required for future developments in human body models. Expand
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Generative Adversarial Text to Image Synthesis
TLDR
We develop a novel deep architecture and GAN formulation to effectively bridge these advances in text and image modeling, translating visual concepts from characters to pixels. Expand
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Evaluation of output embeddings for fine-grained image classification
TLDR
We use state-of-the-art image features and focus on different supervised attributes and unsupervised output embeddings either derived from hierarchies or learned from unlabeled text corpora. Expand
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Analyzing appearance and contour based methods for object categorization
  • B. Leibe, B. Schiele
  • Computer Science
  • IEEE Computer Society Conference on Computer…
  • 18 June 2003
TLDR
We present a new database specifically tailored to the task of object categorization. Expand
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Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly
TLDR
We compare and analyze a significant number of the state-of-the-art methods in depth, both in the classic zero-shot setting but also in the more realistic generalized zero- shot setting. Expand
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Robust Object Detection with Interleaved Categorization and Segmentation
TLDR
This paper presents a novel method for detecting and localizing objects of a visual category in cluttered real-world scenes by combining object categorization and figure-ground segmentation. Expand
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A tutorial on human activity recognition using body-worn inertial sensors
TLDR
The last 20 years have seen ever-increasing research activity in the field of human activity recognition. Expand
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CityPersons: A Diverse Dataset for Pedestrian Detection
TLDR
We introduce CityPersons, a new set of high quality bounding box annotations for pedestrian detection on the Cityscapes dataset (train, validation, and test sets). Expand
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