๏ฟฝ๏ฟฝ๏ฟฝ Happy to share our new preprint: Impact of trait measurement error on quantitative genetic analysis of computer vision derived traits ๐ท๐งฌ
Thanks to my PhD advisor and collaborators. @gotamorota @yijianhuang @HaipengU
Read the full preprint here: https://t.co/fLeGyK2xj2
Iโm excited to share that Iโve successfully defended my Ph.D. dissertation, โDigital phenotyping and genomic prediction using machine and deep learning in animals and plants.โ Grateful for all the support throughout this journey!
Thrilled to have joined the ASAS annual meeting in Calgary, Canada this year! ๐ It was an incredible experience to present two of my recent works and connect with so many amazing people. ๐ค Reconnecting with old friends and meeting new ones made it even more special! ๐
Excited to share our new preprint: "Genomic Prediction of Metabolic Content in Rice Grain in Response to Warmer Night Conditions." Check it out!
๐ [manuscript: https://t.co/rlWI83gMfS]
๐ [code: https://t.co/4GPa9jXaQU]
#Genomics#RiceResearch#ClimateChange#PlantScience
Check out Idan's @HUJIAgri new paper @plantgenome. Integrating genomics and temporal high throughput phenotyping promotes time-series genomic prediction in sesame. A great collaboration with @gotamorota, @YeBi000, and @HerrmannIttai. @BDevelopm
Read here: https://t.co/3mrf32hpav
I am excited to announce my paper with the guidance of @gotamorota in collaboration with @YeBi000 , @brito_lf , and Dr. Zafer Ulutaล: Review of sheep breeding and genetic research in Tรผrkiye. I wish it sheds light on sheep breeding and genetics research.
https://t.co/gPxQwhpErE
Introducing EdgeSAM, the first SAM variant that can run at over 30 FPS on an iPhone 14 with minimal compromise in performance.
Code, models, and Hugging Face demo are available!
arXiv: https://t.co/kPt7fnlCvC
Project page: https://t.co/6w60RZQgnG
๐Excited to share that I've become Ph.D. Candidate after passing the preliminary! ๐ Huge thanks to my advisor, committee members, teammates, and collaborators โ couldn't have reached this milestone without your amazing support! ๐
Just in time for CVPR, we've released code to generate "rainbow visualizations" from a set of point tracks: it semi-automatically segments foreground objects and corrects for camera motion. Try our colab demo at https://t.co/1SnYgBHLNV (vid source https://t.co/WtERg5iGay)