kalal

8 ms·

31.
by kalal 6y ago
Simple AI that detects absence of a face mask.
32.
by kalal 8y ago
TLD Vision | Czech Republic | ONSITE | http://tldvision.com TLD Vision an AI company focusing on tracking of objects in video. We are building a new tracking engine which combines latest advances from deep neural networks, real-
33.
by kalal 8y ago
To me, this is whether you have good people around or not. PhD usually comes with good advisers who help you think in different ways than you have done before. However, such good advisers can be also at a company + you work on practical an
34.
by kalal 8y ago
Sounds like the departments are fighting over the responsibility of the accident. Correct me if I am wrong.
35.
by kalal 9y ago
Consider for example a picture of a street and a rendered car overlaying it. It would be interesting to see how well the technology bakes in the car so that it matches the environment. This would go in direction of realistic rendering.
36.
by kalal 9y ago
4. This statistics must be conditioned. Not all drivers are the same. Some are careful, some are not. So in fact, the careful drivers will make their life miserable by using autopilot.
37.
by kalal 9y ago
When the self driving revolution started, conservative people claimed that one accident would stop the whole business. Well there are many accidents already and people are still willing to risk. One reason may be our tendency to trust somet
38.
by kalal 9y ago
I am very skeptical about pretraining which seems to be the key point of Nanonets. Sure, it will help to work work better than initialization from random weights, but, you will always do better if you collect more data for your problem. Thi
39.
by kalal 9y ago
Can you link to the images you have tried? My tests were rather disappointing. Yes, I got some 3D point cloud from the image, but nothing that I would consider useful outside computer vision community for now.
40.
by kalal 9y ago
You are right, there is good application for this tool in education or people who want to quickly test something new. Shadertoy is great and I like it. It is at the right level of abstraction that I need for my current CG knowledge. I can i
41.
by kalal 9y ago
business(business(business))
42.
by kalal 9y ago
Prototyping YOLO or the other DNN means just run detector and see the boxes. Of course training these systems is clearly out of reach for this kind of abstraction technology, not to mention modify and develop something new.
43.
by kalal 9y ago
This can never work in practice. First, it seems super simple to do CV in the video, but only because the author already knows what to type there. It will never be so smooth in real life. Next, if you accept that you have to think what you
44.
by kalal 9y ago
I like the separation of glasses from compute power. The design itself seems cool, a little bit inspired by Ghost in the Shell. But imagine putting this on average dude, the coolness is gone ;)
45.
by kalal 9y ago
Agreed. The network is trained in a sense "online" on the target image and directly applied to it. I don't see much impact of this work outside image denouncing or tasks already presented in the paper.
46.
by kalal 9y ago
I would like to see how the system generalizes on different videos. The motion pattern seems to be quite general ... this can be used to analyze crashes during racing events for instance ( http://www.tldvision.com/tld3.html )
47.
by kalal 9y ago
Can you provide some links? this sounds interesting ...
48.
TLD3.0 – 3D tracking of rigid objects in video(tldvision.com)
2 points by kalal 9y ago|0 comments
49.
by kalal 9y ago
Data scientist scores top in the chart. Funny to find later on that the author calls her self data scientist as well. To me this is little off putting. It is like a doctor claiming that doctors are the most healthy people. Which might be tr
50.
by kalal 9y ago
I never got this business in business. If your idea is really good, then you don't need to ask for money.
51.
by kalal 9y ago
You are great! My karma goes down, please!
52.
by kalal 9y ago
Already mentioned in the comments. But still. Looks nice, but it is hard to get any insight from it. For instance, I zeroed out all weights and outputs, then slightly increased one weight. First there seems to be some non-zero bias on the m
53.
by kalal 9y ago
Nice title, one of those which people definitely click. But is the add really necessary?
54.
by kalal 10y ago
Sure, we are able to work/communicate remotely. But the problem is that even remote work on super-computer is limiting and reduces the iteration cycle. I prefer to run small and fast experiments on local machine, fine-tune for signific
55.
by kalal 10y ago
'Advanced' course with 'Sesame Street' introduction: https://ox.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=b7d... One of them should go :)