I wish I had come across this post earlier—it would have saved me a lot of headaches! If you also struggle with remembering the missing data taxonomy, keep this handy:
MCAR -> Not Data Dependent (NDD)
MAR -> Seen Data Dependent (SDD)
MNAR -> Unseen Data Dependent (UDD)
Trump 2024, disastrous for 🇺🇲
and a death sentence for 🇺🇦 & I.
It is a weird feeling knowing I'll now most likely be dead this year, let's be honest, we needed the USA, 🇪🇺 just isn't ready for war.
And I am NOT leaving Ukraine.
Україна понад усе.
How does our brain allow us to make sense of our visual world? Work led by @OliverContier w/ @Chris_I_Baker now out in @NatureHumBehav provides support for a theoretical framework of behaviorally-relevant selectivity beyond high-level categorization. 🧵
https://t.co/MtkUGnuN30
Are you at #ecvp2024 and interested about typicality in visual scenes? Come to see our poster 49 in the morning session. Joint work with @jlukavsky and @cognikobusch
Visualizing Science! I'm holding a series of free, online workshops, thanks to Johns Hopkins University. All are welcome! I plan to have fun with Danielle VanBrabant, Damond Kyllo, and Amey Zhang to introduce visualization topics and challenges. No art experience is necessary.
@WilmaBainbridge@jlukavsky Visual recognition was similar in both groups, while artistic students had better visual recall. Also, they draw better drawings and are more similar to the original photographs. It was a great collaboration, and I really enjoyed this work 2/2
Our new article with @WilmaBainbridge and @jlukavsky is out in Memory and Cognition. We studied whether artistic students differ in visual memory from the general pool of students. We used both recognition, digit span and drawings! 1/2 https://t.co/w3vXNP4AK1
1/4 🚀 PhD Opportunity! 🌟 Interested in memory, scene recognition, computer vision? Awesome, @BuschlabPsy at @uni_muenster, Germany, is looking for you! Funding for 3y by @dfg_public for our project DeepMem: comparing scene representations in neural networks and human memory.
Perceptual dimensions of wood materials. Similarity judgements of dynamic stimuli within a class of similar materials.
Our new paper - https://t.co/veRjLGJD2j
I'm not a big fan of productivity hacks, I think the best thing you can do it just sit down, focus, and work on your shit. But I've been doing something for a couple of years now that has been life changing for me as someone running a medium sized lab, here's a 🧵about it 1/
Once, we ran a study on Prolific and a participant wrote on Reddit that the study “Felt like I was losing the will to live.” I went on the Prolific Subreddit (24k members!) and asked what matters. Here is what they told me. A thread on happier participants and better studies 1/9
Our computer vision textbook is released!
Foundations of Computer Vision
with Antonio Torralba and Bill Freeman
https://t.co/We0ZSJzkle
It’s been in the works for >10 years. Covers everything from linear filters and camera optics to diffusion models and radiance fields.
1/4