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Staff Research Engineer at Qualcomm AI

  • Previously, Ph.D. at KAIST, Research Intern at Google, Visiting student at CMU [CV] [Homepage]
  • I am looking for a position as a research scientist in the US.

Research Interests [Details]

  • Computer vision and machine learning
  • CV: Person/vehicle re-identification, object tracking/recognition/detection/segmentation, gait/face recognition, image generation
  • ML: Domain adaption/generalization, meta-learning, normalization, few-shot learning, self-supervised learning, GAN

Seokeon's GitHub stats

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Seokeon Choi's Projects

adaptsegnet icon adaptsegnet

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

aicity-reid-2020 icon aicity-reid-2020

:red_car: The 1st Place Submission to AICity Challenge 2020 re-id track (Baidu-UTS submission)

attention-module icon attention-module

Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

awesome-vaes icon awesome-vaes

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

cnaps icon cnaps

Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Normalization for Meta-Learning"

csrankings icon csrankings

A web app for ranking computer science departments according to their research output in selective venues.

cvpr2019 icon cvpr2019

cvpr2019/cvpr2018/cvpr2019 papers,极市团队整理

dasiamrpn icon dasiamrpn

Distractor-aware Siamese Networks for Visual Object Tracking (ECCV2018)

divmatch icon divmatch

Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection

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