LoreGoetschalckx
@L_Goetschalckx
My lab mate is presenting his amazing work on recurrent feedback models at #NeurIPS this afternoon! Come check it out 👀 (poster 3700)
Is that a B or a 13 in the middle? 🤯 A classic case of top-down signals shaping bottom-up perception. ✨Excited to share our work at #NeurIPS2024 w/ @abhiramiyer (*co-first*), Valmiki Kothare, & @FieteGroup: a framework to study context-driven sensory processing. ✨ (1/n)
Basketball player myself and feeling optimistic, I prompted #StableDiffusion with "Belgian Cats win the world cup basketball". Was hoping to see some fierce cats. Got this instead😅 (the colors are right though, and did you spot the cat?)
📣 Our team at @imec_int is looking for PhD students to join us and push the boundaries of machine perception! Passionate about AI research? Loving a close connection to sensor hardware? 🤖 Have a look👇 lnkd.in/eBaTHAVc lnkd.in/evbePb_E lnkd.in/ehDyFsay
Interested in human memory? Love working at the intersection between CogSci and CS? Check out this exciting PhD opportunity in Germany!
1/4 🚀 PhD Opportunity! 🌟 Interested in memory, scene recognition, computer vision? Awesome, @BuschlabPsy at @uni_muenster, Germany, is looking for you! Funding for 3y by @dfg_public for our project DeepMem: comparing scene representations in neural networks and human memory.
I am involved in this really cool project that needs citizens' votes to get funded! We are aiming to discover how our surroundings affect our mood and emotional wellbeing. If you think this topic is worth exploring, please vote here: bit.ly/VoteForSMILE #CitizenScience
Exciting news! Our paper was accepted as a **Spotlight** to #NeurIPS2023. We compute a human-like reaction time metric from stable recurrent vision models. Check out the 🧵below! arxiv.org/abs/2306.11582 w/ @lakshming92 @alekhka @aarit_ahuja David Sheinberg and @tserre
✨NEW PREPRINT✨ Visual cognition in the brain is dynamic. Time to consider time 🥁 in models! We present a novel human-like reaction time metric computed from stable recurrent vision models and study 𝘵𝘦𝘮𝘱𝘰𝘳𝘢𝘭 human-model alignment. Read on…🤓 arxiv.org/abs/2306.11582 1/n
Enjoyed writing this Spotlight article for @TrendsCognSci w/ @DamianoC_et_al on @WilmaBrainbridge and @trentdavis01’s PNAS paper. We share our excitement for a collaboration between artists and AI to better understand memorability. authors.elsevier.com/a/1hk5N4sIRvPN…
A student in the lab complimented me on my code for collecting image memorability scores online, said it had helped them a lot. Made me think it'd be good to also tell Twitter where to find it :) It's right here 👉 github.com/LoreGoetschalc…
Have you seen #dalle2 and #Imagen and wondered how it works? Both models utilize diffusion models, a new class of generative models that have overtaken GANs in terms of visual quality. Here are 10 resources to help you learn about diffusion models ⬇ ⬇ ⬇
Cool talk yesterday at #VSS2022 by @son_gaeun, showing work on category learning biases using GAN-based scene wheels! Another nice demonstration of how GANs can help cognitive science, as we argued in our review paper: bit.ly/3Nlfomx
