*Slides without slide titles*. When I first tried presenting WITHOUT slide titles, everything flowed so much better! (totally validated . by me)! . Give it a shot! Once you try it, you’ll never want to go back.

*Empty initial slides*. What’s a better starting point than that default slide layout?. A completely blank slide. It helps you explore the design space and focus on delivering a clear, compelling story.

*Bullet points*. The second thing the layout prompts you to do?.("Click to add text"). Start a bullet list. Among so many creative forms of presenting your ideas, it nudges you toward the most boring one: a list. 🔢

*Slide title*. The first thing this layout does is to ask you to add a slide title. Seems reasonable, right? visuals, this encourages you to .1) lead your presentation with text instead of visual and.2) cram in many titles in a talk, making it harder to maintain a narrative

Why is the "Title and Content" slide layout BAD?. Most people prepare their presentation from this default layout. I used it for years without questioning it. BUT, this essentially guides you toward developing poor presentation. Why? 🤔

RT @kopanevp: 🎦 Amazing YouTube channel with videos explaining different concepts and new ideas in CV, RL, Gen AI, and more: .

Writing a rebuttal is 30% technical and 70% reviewers' psychology.

Kids’ summer camp just kicked off, and that means. I finally have time to make new videos!. What topics are you most interested in right now?.

Talk inspired by this tweet.

Why More Researchers Should be Content Creators. Just trying something new! I recorded one of my recent talks, sharing what I learned from starting as a small content creator. We all benefit when there are more content creators!

No time? I’ve got your back!. Check out Policy Gradient in One Minute.

Policy gradient methods rock!. These are the core techniques for making your transformer "chat" and "reason", a robot that manipulates objects, and a drone that maneuvers in a complex environment. BUT, how do we learn all the developments in the past 30+ years? 😱

Check out the video to learn this new, elegant formulation of generative models!.

Awesome! 🤩. So glad to hear the authors enjoyed the video, totally made my day!

Thanks, @CSProfKGD! . I love MeanFlow's elegant formulation of one-step generative modeling. But I was a bit confused about the notation and derivation. Hopefully, this video will help people interested in the paper understand it better.

RT @CSProfKGD: Fresh out of the oven! 🍞 @jbhuang0604 breaks down Mean Flow from Kaiming’s group in his latest video.

Three-step algorithm for solving computer vision tasks. 1⃣Specify what you have (input) and what you want (output). 2⃣Collect a diverse labeled dataset mixture. 3⃣Train a scalable model like Transformers.

Getting one more subscriber on my YouTube channel. Me:

We had a blast at CVPR2025!. There was so much to learn! I am particularly excited to meet many new friends and reconnect with old ones. I feel energized. Already looking forward to the next one!

RT @sarahwiegreffe: A bit late to announce, but I’m excited to share that I'll be starting as an assistant professor at the University of M….