Friedrich-Alexander-Universität Erlangen
Lehrstuhl für Mustererkennung
Martensstraße 3
91058 Erlangen
The computer vision group deals with general problems of detecting structures in images. Particular topics currently include color & reflectance, image forensics, multispectral imaging, multi-camera setups and range imaging. Our work is closely related to other main fields in computer vision, like image segmentation and tracking. Particular topics like image forensics connect closely to statistics, color & reflectance serves often as a pre-processing step for higher level computer vision tasks like object recognition.
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| Responsible Person | Program / Topic | ||
|---|---|---|---|
Archived Time Table |  Here | ||
| 14.01.19 | MT Kickoff | Mayr, Martin: Weakly-supervised segmentation of defects on solar cells | |
| 14.01.19 | MT Kickoff | Holzwarth, Martin: Using Deep Learning for segmentation of localized defects on SiC wafers | |
| 21.01.19 | MT Final | Azeem Botwala: Content-Based Image Retrieval in Opthalmology using Deep Learning | |
| 28.01.19 | Michael Lechner | LF-Net: Learning Local Features from Images | |
| 04.02.19 | Aline Sindel | SuperPoint: Self-Supervised Interest Point Detection and Description | |
| MT Kickoff Jonathan Wolff | Large-Scale Visual Retrieval in Historical Documents | ||
| 11.02.19 | Prathmesh Madhu | Lin et al. "Tool Detection and Operative Skill Assessment in Surgical Videos Using Region-Based Convolutional Neural Networks | |
| 18.02.19 | MT Kickoff Simon Jordan | Learning Individual Similarities for Writer Identification | |
| MT Final Tobias Koch | Incremental Learning Techniques for Face Recognition | ||
| Franz | YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud | ||
| 25.02.19 | Mathis | One-Shot Instance Segmentation | |
| 04.03.19 | Mathias | Tutorial Session: Variational AutoEncoders | |
| 11.03.19 | MT Kickoff Lukas Zweck | Concept and Evaluation of an Autonomous Hand-Held Bone Drill for Applications in Spinal Surgery | |
| + Video Session | |||
| 18.03.19 | no colloq | ||
| 25.03.19 | MT Kickoff | Martin Stumpf: Making offline handwriting editable | |
| Anguelos | Are 2D-LSTM really dead for offline text recognition? | ||
| 01.04.19 | no colloq | ||
| 08.04.19 | start: 10:00 (not 10:15), Marc | "Analyzing and Improving Representations with the Soft Nearest Neighbor Loss" | |
| 15.04.19 | Christian M. | FastAI Tutorial | |
| 22.04.19 | no colloq (holiday) | ||
| 29.04.19 | Vincent | Semantic Image Synthesis with Spatially-Adaptive Normalization | |
| 06.05.19 | Christian J. | Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet | |
| 13.05.19 | Michael | SOSNet: Second Order Similarity Regularization for Local Descriptor Learning | |
| 20.05.19 | Bernhard | Invariant Information Clustering for Unsupervised Image Classification and Segmentation | |
| 27.05.19 | Aline | Discovering Visual Patterns in Art Collections with Spatially-consistent Feature Learning | |
| 03.06.19 | MT Kickoff | Srikrishna Jaganathan: Learning From Weak Label Sources In Industrial Sensor Systems | |
| MT Final | Jonathan Wolf: Large-Scale Visual Retrieval in Historical Documents | ||
| 17.06.19 | Internal meeting | ||
| 24.06.19 | MT Final | Mayr, Martin: Weakly-supervised segmentation of defects on solar cells | |
| 01.07.19 | MT Intro: Kevin Hirschmann: "Learning to Read through Phonemes" | ||
| Franz | CVPR19 Highlights | ||
| 08.07.19 | Mathias | The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks | |
| 15.07.19 | MT Final | Holzwarth, Martin: Using Deep Learning for segmentation of localized defects on SiC wafers Panati, Chandana:Diagnosis of Gasoline Direct Injection Systems with Neural Networks | |
| 22.07.19 | Mt Final | Zweck, Lukas: Concept and Evaluation of an Autonomous Hand-Held Bone Drill for Applications in Spinal Surgery | |
| Mathis | Joint Estimation of Camera Pose, Depth, Deblurring, and Super-Resolution from a Blurred Image Sequence | ||
| 05.08.19 | Video Session | ||
| 12.08.19 | no colloquium | ||
| 19.08.19 | MT Final | Simon Jordan: Learning Individual Similarities for Writer Identification | |
| Mt Final | Pengqi Wen: Evaluation of Different Few-shot Learning Approaches for Image Retrieval | ||
| 26.08.19 | no colloquium | ||
| 02.09.19 | Vincent | Papers worth a 2nd look | |
| 09.09.19 | MT Final | Martin Stumpf: Making offline handwriting editable | |
| Rehearsal Talk | Ronak Kosti: Visual Scene Context in Emotion Perception | ||
| 16.09.19 | Anguelos | Weiight Agnostic Neural Networks | |
| 23.09.19 | |||
| 30.09.19 | Bt Intro | Daniel Mosig: Breathing Detection in 2D/3D Video Streams | |
| 07.10.19 | MT Final + Seminar talk | Srikrishna Jaganathan: Learning From Weak Label Sources In Industrial Sensor Systems Luca Reeb: PV-power estimation from EL-images using deep learning | |
| 14.10.19 | MT Intro | Philip Stoll: Semantic Segmentation of the Human Eye for Driver Monitoring | |
| 21.10.19 | Marc | Unsupervised Domain Adaptation by Backpropagation | |
| 28.10.19 | No colloquium | ||
| 04.11.19 | Michael | Rapid Prototyping for Image Registration using AirLab – Autograd Image Registration Laboratory | |
| 11.11.19 | Ronak | ACM MM'19 Review | |
| 18.11.19 | Aline | Attentive Recurrent Comparators | |
| 25.11.19 | no colloq | Defense of Chet Sanders | |
| 02.12.19 | Martin | Self-training with Noisy Student improves ImageNet classification | |
| Kevin Hirschmann | Learning to Read through Phonemes | ||
| 09.12.19 | MT Intro | Luis Rivera Monroy: Emotion Recognition Guided by Gaze and Context on Images | |
| MT Intro | Nico Meyer: Metric Learning for Writer Identification | ||
| 16.12.19 | Mathias | Discovering Physical Concepts with Neural Networks |
Analysis of papal charters from the high middle ages.
Scribe identification of handwritten documents.
Separating the ink layers of the old master drawings via hyperspectral image Analysis
Finding forgeries in digital images.
Camera calibration aims at obtaining a parametric model of a camera.
Processing of medical image data acquired with microscopes (digital histology) or confocal laser endomicroscopy.
Analysis and Classification of the Hyperspepctral Remote Sensing Images
Processing of industrial image data acquired with a stereo camera setup
Interpreting multispectral data to better understand reflectance phenomena.
Detection and tracking of objects in the vehicle's surrounding.
Applying Computer Vision to establish irradiance/power forecasts for solar power plants.
Optimizing the sorting results for banknotes through the use of multiple sensor cues.
Optical 3D surface measurements with a single image capture.
Student project: small-size autonomous robot soccer.
Modeling skin reflectance for skin segmentation and illumination color estimation.
Transferring color constancy insights from laboratory setups to real-world images.