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Vision and Learning Lab. @ Yonsei AI photo

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Name: Vision and Learning Lab. @ Yonsei AI

Type: Organization

Bio: Some useful codes for computer vision and machine learning from Yonsei Vision and Learning Lab.

Location: Korea, South

Vision and Learning Lab. @ Yonsei AI's Projects

bnas icon bnas

Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)

dip-denosing icon dip-denosing

Code and models for "Rethinking Deep Image Prior for Denoising" (ICCV 2021)

e2sri icon e2sri

Code for the paper "Learning to Super Resolve Intensity Images from Events" (CVPR-2020-Oral).

i-blurry icon i-blurry

Official Pytorch implementation of Online Continual Learning on Class Incremental Blurry Task Configuration with Anytime Inference (ICLR 2022)

mcr-agent icon mcr-agent

Official Implementation of MCR-Agent (Multi-Level Compositional Reasoning Agent) (AAAI'23)

moca icon moca

Code and models of MOCA (Modular Object-Centric Approach) proposed in "Factorizing Perception and Policy for Interactive Instruction Following" (ICCV 2021). We address the task of long horizon instruction following with a modular architecture that decouples a task into visual perception and action policy prediction.

psvl icon psvl

Code for the paper "Zero-shot Natural Language Video Localization" (ICCV2021, Oral).

sdp icon sdp

Official Implementation of SDP (Scheduled Data Prior) (ICLR 2023)

se-cff icon se-cff

Official implementation of "Stereo Depth from Events Cameras: Concentrate and Focus on the Future" (CVPR 2022)

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