- 💼 Work: Computer Vision Applied Scientist at Amazon Lab126
- ✨ Research Interest: Computer Vision, Machine Learning with current focus on Scene Graph Generation
- 💓 Enjoy: Cycling along river banks, coding with a mug of freshly-brewed iced latte
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Amazon
- Taipei, Taiwan
- https://coldmanck.github.io
- @coldmanck
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fast-rcnn
fast-rcnn PublicForked from rbgirshick/fast-rcnn
Train (fine-tune) Fast R-CNN on your own dataset - step by step
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EPI-Python-Solution
EPI-Python-Solution PublicSolutions to "Elements of Programming Interviews in Python: The Insiders' Guide"
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recovering-unbiased-scene-graphs
recovering-unbiased-scene-graphs PublicOfficial implementation of "Recovering the Unbiased Scene Graphs from the Biased Ones" (ACMMM 2021)
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show-attend-and-tell
show-attend-and-tell PublicForked from DeepRNN/image_captioning
[Python 3] Tensorflow implementation of "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention"
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zero-shot-indoor-localization-release
zero-shot-indoor-localization-release PublicThe official code and datasets for "Zero-Shot Multi-View Indoor Localization via Graph Location Networks" (ACMMM 2020)
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