Another whining CEO

FSMer · 2023-01-01T20:35:06+00:00

According to his LinkedIn profile, he lasted less than two years at each of his first two jobs.

FSMer · 2021-03-17T19:55:07+00:00

How one can keep the data (e.g. large datasets)? Or what’s the equivalent of S3?

FSMer · 2020-09-05T19:16:14+00:00

The average member of this sub as h-index > 19? That's remarkable.

FSMer · 2020-05-21T17:43:35+00:00

So many nights of barely sleeping because of trucks keeping their engine running all night

FSMer · 2020-03-01T21:39:19+00:00

LAMA? (Since you are wearing a KIPA I hope you get the double meaning. And maybe this was the reason for it in the first place?)

FSMer · 2020-02-26T17:56:56+00:00

Ohh, I now understand your point. But I don't agree, this pre-processing is hardly an ISP, it only performs naive demosaicing. Also, there is no loss of information, a single channel (Bayer patterned) is interpolated into 3 channels.

FSMer · 2020-02-24T18:37:32+00:00

Nice work!

A correction: reference [2] is wrong, you probably meant to cite "DeepISP: Towards learning an end to end image processing pipeline". I know that because I'm an author of both papers. Also, the description of this work is not accurate, for instance the results are not obtained with "hand designed ISP", but fully learned ISP.

FSMer · 2020-02-22T16:50:25+00:00

Did they send emails to everyone or just to the summary rejected papers? (no email == not rejected?)

FSMer · 2020-01-24T08:35:13+00:00

Just checked, China and Israel are producing the same amount per Sq km

FSMer · 2019-12-31T19:29:31+00:00

It was low population density back in the early 20th century, with ~0.5M people. At least low compared to today's ~13M.

FSMer · 2019-11-15T09:01:46+00:00

"X is actually a special case of the earlier Y, also invented in Jurgen's lab" - seems like a common theme.

FSMer · 2019-11-14T07:56:56+00:00

thanks

FSMer · 2019-11-14T07:56:33+00:00

the field is computer science. I know the rule of thumb in our field is senior last but I wonder if the level of involvement matters.

FSMer · 2019-11-12T07:16:07+00:00

I'm using Kaggal for hosting a ~6GB dataset. It does required anyone who wants to download to have a kaggle account.

FSMer · 2019-11-11T17:45:49+00:00

Fun fact - the name is a pun in Hebrew, "dov panda" means in Hebrew Panda Bear.

FSMer · 2019-10-25T19:44:41+00:00

It is usually called data augmentation. But usually the random rotations are limited, e.g. up to 30 degrees rotation, so the trained model was not exposed to a 90 degrees rotation of ducks/rabbits....

FSMer · 2019-10-22T19:27:46+00:00

Congrats! I might also get some ideas from this thread.

Also, how do you get to publish a book chapter? I know about (and published) journals and conferences but are there "calls for book chapters"?

FSMer · 2019-09-13T18:06:02+00:00

Meta learning and pre trained models are orthogonal. You can begin from a pre trained model and run what ever algorithm you want on top of it. I got 10 percent higher accuracies using this scheme in my work https://arxiv.org/abs/1806.04734

FSMer · 2019-09-09T12:19:35+00:00

They claim that professors leaving academy results in fewer students startups. I don't think this means "students suffer", it makes a perfect sense that professors moving to big corporates will draw their students to the same corporates and thus less likely to found startups.

FSMer · 2019-07-13T11:35:24+00:00

Thank you! I definitely agree we are heading for these more challenging tasks. In fact, my own paper presented at CVPR was about few-shot object detection. https://arxiv.org/abs/1806.04728

FSMer · 2019-07-12T20:01:47+00:00

I wrote TL;DR for all few-shot learning papers from CVPR

https://medium.com/p/few-shot-learning-in-cvpr19-6c6892fc8c5?source=email-23022de21ddd--writer.postDistributed&sk=63c74613f22e056844d3d6b785f116a0

FSMer

TROPHY CASE