Constantin Seibold retweeted
Neues KI-Institut @Uni_Stuttgart umfasst 2 @Cyber_Valley Prof. Analytic Computing (@ststaab) & #AutonomeSysteme (#KaiArras), @SimTechStuttga2 Prof. ML in den Sim.wiss., Jun.-Prof. Autonomous Sensing and Perception Systems (@AlinaRoitberg) & Prof. #MaschinellesLernen & #Robotik
KI für #Simulationen und #IntelligenteRobotik: Daran forscht künftig das neugegründete Institut für Künstliche Intelligenz an der #UniStuttgart. Das Ziel: den Transfer von KI-Anwendungen in Wirtschaft und Gesellschaft vorantreiben.👉 bit.ly/3PSrwAd
Constantin Seibold retweeted
Come join our #CVPR23 workshop on Large Scale Holistic Video Understanding (@LSHVU), happening on 18th starting at 8:30am PST.
Program schedule (Room: East 8, Poster: West Exhibit Hall, # 100-114): lnkd.in/e2dzJ-AG
The anatomy in chest radiographs (CXR) is typically difficult segment manually due to the ambiguity introduced by overlapping structures.
We Adress this in our paper and publish models to segment 157 anatomical labels in CXR:
arxiv.org/abs/2306.03934
We make this available via a simple "pip install cxas".
We also provide a gradio demo to easily test this method:
huggingface.co/spaces/cmseib…
For more details, check out our paper:
arxiv.org/abs/2306.03934
This was my last paper during my time at the graduate school @hidss4health and a collaboration with @AlexanderJaus, Matthias Fink, Moon Kim, @SimaelR, Ken Herrmann, @JensKleesiek and Rainer Stiefelhagen.
When your otherwise free work day is suddenly filled with meetings... 😅
🐢 | During a research trip, a team of Oxford researchers took part in the #ProtetugaProject through @FundaPrincipe to observe sea turtles laying eggs.
Fundação Príncipe works with local communities to protect biodiversity on the island.
📽 | @principeproject
#TurtleDay
Green turtles hatching in Príncipe
I guess it is finally done!! Managed to successfully defend my PhD thesis today.
I researched methods aiding the generation of medical reports.
I loved my time at the cv:hci and the @KITKarlsruhe overall. I will certainly miss the atmosphere, great colleagues and friends!!
Also a big thank you to the @hidss4health graduate school for enabling these past few years in research!
Probably not thinking too straight right now due to an exam in the afternoon, but I think I might release a pre-print with associated Models and Dataset for fine-grained anatomy segmentation in the first week of May...
(because self-set deadlines always work ... 😆)
Quite funny how such a notification can improve the mood 😄
scholar.google.com/citations…
I've been going over the saliency maps of our CXR Vision-Language model from MICCAI22. Despite it being somewhat obvious, I found it interesting that for some classes it will just activate on the abnormal enlargements for cardiomegaly. Other CNN had activated on the entire heart.
Merry Christmas to all of you! I hope we can get some time to rest and then freshly start the new year.
The more you can't have something, the more you want it, right?
Currently writing my thesis and so many ideas pop into my head of what I would love to just try out, but I don't have the timeeee...
Feels like torture... 😭😭😭
Standing here in poster room 1 to present my paper about detailed chest Xray annotations for phrase grounding 🤸
Still wish I could have attended #BMVC2022 in person =(
Recently, I started doing endurance training again like swimming or jogging and find myself often out of breath. I'm wondering if this is due to covid or due to me being out of shape... 🤔 (I'm assuming the latter 😄)
Great (and lengthy 😅) overview on Vision-language-pretraining by Gan et al. arxiv.org/abs/2210.09263
Imo worth checking out for anyone who is interested in this field. (Medical applications are not explicitly handled)
Constantin Seibold retweeted
Analysis: Which countries are historically responsible for climate change? | @drsimevans @tomoprater #COP27 @COP27P #archive
Read: j.mp/3mQPtHS
Which countries are historically responsible for climate change?
Video shows, by ranked nation, cumulative CO2 emissions from fossil fuels, land use and forestry, 1850-2021 (million tonnes). Remaining carbon budget to limit global warming at 1.5C (50-50 chance).

















