• Publications
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In Defense of the Triplet Loss for Person Re-Identification
In the past few years, the field of computer vision has gone through a revolution fueled mainly by the advent of large datasets and the adoption of deep convolutional neural networks for end-to-endExpand
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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
Object recognition has reached a level where we can identify a large number of previously seen and known objects. However, the more challenging and important task of categorizing previously unseenExpand
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Robust Object Detection with Interleaved Categorization and Segmentation
Abstract This paper presents a novel method for detecting and localizing objects of a visual category in cluttered real-world scenes. Our approach considers object categorization and figure-groundExpand
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Combined Object Categorization and Segmentation With an Implicit Shape Model
We present a method for object categorization in real-world scenes. Following a common consensus in the field, we do not assume that a figure- ground segmentation is available prior to recognition.Expand
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Depth and Appearance for Mobile Scene Analysis
In this paper, we address the challenging problem of simultaneous pedestrian detection and ground-plane estimation from video while walking through a busy pedestrian zone. Our proposed systemExpand
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A mobile vision system for robust multi-person tracking
We present a mobile vision system for multi-person tracking in busy environments. Specifically, the system integrates continuous visual odometry computation with tracking-by-detection in order toExpand
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Online Adaptation of Convolutional Neural Networks for Video Object Segmentation
We tackle the task of semi-supervised video object segmentation, i.e. segmenting the pixels belonging to an object in the video using the ground truth pixel mask for the first frame. We build on theExpand
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Fast image-based localization using direct 2D-to-3D matching
Recently developed Structure from Motion (SfM) reconstruction approaches enable the creation of large scale 3D models of urban scenes. These compact scene representations can then be used forExpand
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Online Multiperson Tracking-by-Detection from a Single, Uncalibrated Camera
In this paper, we address the problem of automatically detecting and tracking a variable number of persons in complex scenes using a monocular, potentially moving, uncalibrated camera. We propose aExpand
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Pedestrian detection in crowded scenes
In this paper, we address the problem of detecting pedestrians in crowded real-world scenes with severe overlaps. Our basic premise is that this problem is too difficult for any type of model orExpand
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