{"id":2312,"date":"2016-01-15T12:27:16","date_gmt":"2016-01-15T12:27:16","guid":{"rendered":"http:\/\/cvlab-dresden.de\/?p=2312"},"modified":"2017-12-24T22:29:53","modified_gmt":"2017-12-24T22:29:53","slug":"cvld-colloquium","status":"publish","type":"post","link":"https:\/\/hci.iwr.uni-heidelberg.de\/vislearn\/cvld-colloquium\/","title":{"rendered":"CVLD Colloquium"},"content":{"rendered":"

This is a weekly event which will be held 3pm-4pm every Tuesday at room 2024, CVLD.<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
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20.12.2016<\/p>\n<\/td>\n

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Manuel Paternoster's diploma defence<\/p>\n

\"Deep Convolutional Neural Networks for Object Coordinate Regression\"<\/p>\n<\/td>\n<\/tr>\n

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12.12.2016<\/p>\n

(13:00-16:00)<\/p>\n<\/td>\n

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Ideas and Future Plans<\/p>\n

Everybody should present their thoughts in 10-15 minutes.<\/p>\n<\/td>\n<\/tr>\n

20.09.2016<\/td>\n\n

Diploma thesis defense - Friedrich Trauzettel : \"Scene Flow with Extended Feature Matching\"<\/span><\/p>\n<\/td>\n<\/tr>\n

09.08.2016<\/td>\n\n

Manuel Paternoster's intermediate diploma presentation: Deep Convolutional Neural Network for Object Coordinate Regression<\/em>
<\/span><\/p>\n<\/td>\n<\/tr>\n

01.06.2016<\/td>\n\n

Alexander Krull, CVLD-Lecture<\/strong><\/span>: Reinforcement Learning<\/span><\/p>\n<\/td>\n<\/tr>\n

17.05.2016<\/td>\n\n


Josef Schulz, Research Project: Detection and Pose Estimation Algorithms That Deal With Occlusion<\/span><\/p>\n<\/td>\n<\/tr>\n

26.04.2016<\/td>\n\n


13:00-14:00 Lange\/ Janssen: Computer Vision at Bosch<\/span><\/p>\n<\/td>\n<\/tr>\n

22.04.2016<\/td>\n\n


10:00-10:45 Andreas Geiger (MPI-IS): <\/span>Robust Visual Perception for Intelligent Systems<\/span><\/p>\n<\/td>\n<\/tr>\n

19.04.2016<\/td>\n\n


Stefan Haller, Forschungspraktikum:
Coarse-To-Fine Programming for Exact Inference in General Graphical Models
<\/span><\/p>\n<\/td>\n<\/tr>\n

12.04.2016<\/td>\n\n


Stefan Haller, Gro\u00dfer Beleg: Exact Inference in Graphical Models by Exploiting Partial Optimality and Shrinking Techniques<\/span><\/p>\n<\/td>\n<\/tr>\n

05.04.2016<\/td>\n\n


Xin Yang: Analysis of metrication errors for continuous and discrete segmentation approaches <\/span>(Master thesis defence)<\/span><\/p>\n

Daniel Schemala: Semantic segmentation of historical topographic plans (Diploma thesis defence)<\/span><\/p>\n<\/td>\n<\/tr>\n

29.03.2016<\/td>\n\n

Oliver Groth: VisualGeonome (Research Project Defense)<\/span><\/p>\n<\/td>\n<\/tr>\n

22.03.2016<\/td>\n\n

Alexander Shekhovtsov (TU Graz): Solving Dense Image Matching in Real-Time using Discrete-Continuous Optimization<\/span><\/p>\n<\/td>\n<\/tr>\n

15.03.2016<\/td>\n\n

Julian Harttung: TraDaG - Training Data Generator (Research Project Defense)<\/span><\/p>\n

Lisa Mais\/<\/span>Peter <\/span>Hirsch: <\/span>(Research Project Defense)<\/p>\n<\/td>\n<\/tr>\n

01.03.2016<\/td>\n\n

Recent progress on Scene Understanding Group (Omid on Synergy Neural Network)<\/span><\/p>\n<\/td>\n<\/tr>\n

23.02.2016<\/td>\n\n

Recent progress on Optimization Group (Walter\/Anatoly on CNN-CRF)<\/span><\/p>\n<\/td>\n<\/tr>\n

16.02.2016<\/td>\n\n

Radek Mackowiak (HTW-Berlin):<\/span> CNN for Efficient Image Retrieval<\/span><\/p>\n<\/td>\n<\/tr>\n

09.02.2016<\/td>\n\n

Stefan Leger (Oncoray)<\/span>: Machine Learning in Medizin <\/span><\/p>\n<\/td>\n<\/tr>\n

02.02.2016<\/td>\n\n


Recent progress on Pose Estimation Group (Alex Krull on Reinforcement Learning)<\/span><\/p>\n<\/td>\n<\/tr>\n

26.01.2016<\/td>\nPresenting papers from ICCV 2015 (people who attended ICCV will present one paper each)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u00a0<\/p>\n<\/div><\/div>

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