Algorithmic Machine Intelligence Lab (AMI Lab.) @ POSTECH

[Research Agenda] * Machine perception understanding - 3D perception understanding - Multi-modal learning - Video (visual and temporal) understanding * Data efficient learning - Prior based learning and inference - Minimal-supervised learning - Learning with human-in-the-loop

[Notice] AMI Lab is looking for self-motivated prospective 'Grad Students'. If you are interested in joining AMI Lab, please send an official transcript (including ranking information) and CV to sungbin@postech.ac.kr

Links & Contact

GitHub

POSTECH Algorithmic Machine Intelligence Lab. (P-AMI Lab.)

ECCV'22] Official PyTorch Implementation of "CLIP-Actor: Text-Driven Recommendation and Stylization for Animating Human Meshes" Python 16 1 [ECCV'22] Official PyTorch Implementation of "Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with Transformers" 8 [ECCV'22] Official PyTorch Implementation of "HDR-Plenoxels: Self-Calibrating High Dynamic Range Radiance Fields" 6 Repositories FastMETRO Public

https://github.com/postech-ami

Youtube

AMI Lab POSTECH

Algorithmic Machine Intelligence Lab (AMI Lab.) @ POSTECH 👉 https://ami.postech.ac.kr/

https://www.youtube.com/channel/UCAwBiEllpMRNGyGQ2hRVCIg

[Address] Unit 508-2, Engineering Building II, Cheongam-ro, Nam-gu, Pohang-si, Gyeongsangbuk-do, Republic of Korea [Phone] +82) 054-279-5934

[Admission] Application Link

sungbin@postech.ac.kr

[URP]

Application Link

hyunlee@postech.ac.kr