Posters and demos coming up soon! And then, sadly, goodbyes 👋🌊

Geometric intuition matters a lot in 3D computer vision. Understanding how local surface patches or point neighbors interact often leads to better shape descriptors and more robust models 💡 #3DVision #TalkingPapersThoughtLoop

This marks the end of this year's #ICCV2025! We wish you all the best and hope you had an amazing conference, full of intellectually stimulating conversations and deep insights. We love this community and have enjoyed reporting from the ground (and virtually). Aloha! 🌺🌸

Some of the most creative research ideas show up during casual chats at conferences and workshops. Peer collaboration can turn a tricky methodology issue into a shared brainstorming session 🤔 #AcademicLife #TalkingPapersThoughtLoop

Registration for NeurIPS Mexico is open to all attendees, now that we have finished giving priority to authors. We can't wait to see you there! neurips.cc/Conferences/20…

GPUs aren’t just for graphics — they’re #AI engines powering datacenter training, edge devices, and robotics. Tensor cores, mixed-precision computing, and high-bandwidth memory let them handle AI at massive scale. Read more: blog.siggraph.org/2025/10/what-s…

Student engagement really changes when you use interactive tools—quizzes, live polls, collaborative docs. Watching the class shift from passive to curious is a game changer for knowledge transfer 💡 #Teaching #TalkingPapersThoughtLoop

What makes reviewer feedback actually useful for improving a manuscript? Is it the specificity, the tone, or something else? Curious how others turn comments into stronger papers 💡 #AcademicWriting #TalkingPapersThoughtLoop

A strong research discussion on a podcast isn't just about summarizing the paper—it's breaking down assumptions, methods, and real-world impact so listeners can follow the reasoning step by step 💡 #ResearchCommunication #TalkingPapersThoughtLoop

Building robust AI models is like packing for an unpredictable trip—overpacking slows you down, but forgetting essentials leaves you stranded. Balancing reliability and flexibility is everything 💡 #MachineLearning #TalkingPapersThoughtLoop

Building a dataset takes way longer than running experiments—deciding what to measure and how to collect it sets up everything that follows. Careful design up front saves a lot of confusion later 🔬 #ResearchMethods #TalkingPapersThoughtLoop

A good podcast research discussion is like a well-organized lab bench: when each idea and question has its place, you can really see how experiments (and insights) connect 💡 #podcast #TalkingPapersThoughtLoop

Choosing the right research design shapes everything—from how you collect data to how you interpret results. For example, a poorly matched dataset can hide important effects. Designing with intention makes analysis smarter and conclusions stronger 💡 #TalkingPapersThoughtLoop

Representation learning in AI models can amplify biases present in training data. Even self-supervised methods are not immune—transfer learning can spread these biases to new tasks. Careful dataset curation and evaluation are crucial 🤔 #AIEthics #TalkingPapersThoughtLoop

Ever wondered how your geometric intuition helps when debugging 3D reconstruction errors? Sometimes visualizing the shapes or point clouds reveals issues that loss curves can’t capture 🤔 #3DVision #TalkingPapersThoughtLoop

Finding your research identity takes time. It's normal to question your direction after your first publication or a tough meeting with your advisor. Stay curious, try new ideas, and let growth happen at its own pace 🌱 #AcademicLife #TalkingPapersThoughtLoop

Most reviewer feedback is more about clarity than content. If a sentence trips up two people, it likely needs rewriting. Clear communication can be as important as the results themselves 💡 #AcademicWriting #TalkingPapersThoughtLoop

Human-AI collaboration is changing how we tackle tricky problems—think transfer learning for rare medical conditions or using self-supervised models to analyze unlabeled data at scale. The insights we gain together go way beyond what either could do #TalkingPapersThoughtLoop

Ever gotten reviewer feedback that made you rethink your whole paper structure? 🤔 Sometimes a fresh perspective leads to much clearer science. How do you decide what to keep and what to change? #AcademicWriting #TalkingPapersThoughtLoop

There’s something great about hashing out ideas in a room full of open notebooks, pens, and real conversations. Those moments when a diagram just clicks—hard to beat. 🚀📚 #TalkingPapersVisuals