Mehmet Kerem Turkcan (@mkturkcan) 's Twitter Profile
Mehmet Kerem Turkcan

@mkturkcan

Associate research scientist at @Columbia @CS3_NSF. Computer vision and deep learning applications. Previously member of Bionet lab @FlyBrainObs.

ID: 912130242

linkhttp://keremturkcan.com/ calendar_today29-10-2012 09:57:10

731 Tweet

285 Followers

903 Following

Yohei Nishitsuji (@yoheinishitsuji) 's Twitter Profile Photo

float i,e,R,s;vec3 q,p,d=vec3(FC.xy/r-vec2(.6,.5),.7);for(q.zx--;i++<99.;){o.rgb+=hsv(.1,.2,min(e*s,.7-e)/35.);s=1.;p=q+=d*e*R*.1;p=vec3(log2(R=length(p))-t,exp(1.-p.z/R),atan(p.y,p.x)+cos(t)*.2);for(e=--p.y;s<3e2;s+=s)e+=sin(dot(sin(p.zxy*s)-.5,1.-cos(p.yxz*s)))/s;}#つぶやきGLSL

htmx.org / CEO of div tags (same thing) (@htmx_org) 's Twitter Profile Photo

statistically no. people who write their websites in pure html + css are busy reading classic literature, learning to windsurf, and hiking with their families, since they don't have to upgrade their build stack from version 14.5.75 to 15.1.200 every three weeks

IEEEPerCom (@ieeepercom) 's Twitter Profile Photo

Day #2: Prof. Swarun Kumar from CMU gave an exciting and insightful keynote on using wireless signals for new applications in domains ranging from autonomous vehicles to augmented reality to digital health. This was followed by Paper Presentations, PhD Forum & Demo events.

Day #2: Prof. Swarun Kumar from CMU gave an exciting and insightful keynote on using wireless signals for new applications in domains ranging from autonomous vehicles to augmented reality to digital health. This was followed by Paper Presentations,  PhD Forum &amp; Demo events.
MrNeRF (@janusch_patas) 's Twitter Profile Photo

Multi-view Reconstruction via SfM-guided Monocular Depth Estimation Contributions: • We propose a novel approach to inject SfM priors into diffusion-based depth estimation, enabling highly accurate and multi-view consistent depth predictions for each viewpoint. • Based on the

Andi Marafioti (@andimarafioti) 's Twitter Profile Photo

Today, we share the tech report for SmolVLM: Redefining small and efficient multimodal models. 🔥 Explaining how to design a tiny 256M VLM that uses less than 1GB of RAM and outperforms our 80B models from 18 months ago! Here are the coolest insights from our experiments: ✨

Today, we share the tech report for SmolVLM: Redefining small and efficient multimodal models.
🔥 Explaining how to design a tiny 256M VLM that uses less than 1GB of RAM and outperforms our 80B models from 18 months ago!

Here are the coolest insights from our experiments:
✨