Відео

I went through all 7 videos and still haven't found what I need to actually implement a multimodel AI

What's the bias due to the fact that the positive case is not included in the negative cache?

how can i train a YOLOV8 model with this?

What a fantastic talk.

how to run this code in windows from the provided github link? kindly make a tutorial video on how to run the code.

is this model available?

make a great video teaching how to install it or even how to use though. thats unbelievable to work that great! OMG

Can you please provide some references for enrichment by fusion and enrichment by translation

Thank you for uploading

Great work, have you addressed your future work or not yet?

Excellent Work

Hi. The author I wanna know how to train this net， Can I connect you ？ I will very appreciate it

It was good until after 1/3rd of the way.

It's gonna wild if it could processed by n-views rather than 2 views

Please re-upload the video with sound.

This is not a tutorial. Tutorials follow a STEP by STEP format. Not a bunch of blabla showcasing your superior intellect. Here's a question for your Q&A: Can you provide a simple STEP by STEP process in order to accomplish the task of generating a 3D model of a face from a singular image??

Such a great series ❤

Super helpful series! Thanks for sharing these lectures

Excellent tutorial

I wonder what labels all-one input data should be. In 3.4, they say the loss function at the first iteration is L= ...， what is the w in this formula? and does this loss function change in later iteration?

Beautiful overview of a complex subject. Well done sir!

Thank you for your video. If I have only feature data A and B, and these data are homogeneous and of the same length, but I don't have the target labels (Y), can I fusion data using linear regression? I want to fuse the data first, consolidate several modalities into one, and then use this new data in machine learning.

please sir, can you share the dataset

As we say in mexico: " te rifaste!!! " you rock bro!!!

great visualization

666

Cool Video !

Hi, can you put the slide of this video

How would one make this into an SE(3)-transformer?

You have no sound until 2:30. Check the background music, you might be breaking some copyright laws.

Hi! Does this also work with non-RGB pointclouds?

Can you do a tutorial on how to install and use this software?

Here is a suggestion, don't add any audio to the videos that you create because it is anyway unaudible and unclear beacuse of your accent.

wow

Good Job . Very impressive and intricate process. I personally think the EDGE platform developed by Stanford has recently developed a more seamless flow to the dance. But this is a great video too. RESPECT

The tutorials on how to create additional scenarios are lacking, otherwise melting pot is great !

good research

Interesting!

这口语说的，真佩服youtube竟然能翻译出来。。。 听得我难受的一批

fighting 加油 传统算法+深度学习特征提取肯定行的～

Exist some examples in some place to practice all of these?. In other hand, great lectures, congrats.

Did Tony wake up eventually?

at 8:33. I am assuming two features each of shape : N+1 z is a bilinear matrix ( N+1) * (N+1) . But, what is the shape of weight matrix ? Shouldn't it be also same as "z". such that we do element-wise multiplication between z and W to get final feature of same shape as z.

The teeth never touch the lip?

Can we get a copy of your presentation?

Is it possible we can download the slides of this course? Thanks!

What is the purpose of the "Map embedding"? How was it transformed into Bird's eye view semantic map? Could you elaborate more on this? Thank you!

just use a validation set?

still I don't get it, what is a modality?

🤯🙌🏿🙌🏿