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๐Ÿ–ฅ๏ธ

Research

Intelligent Robotics and Computer Vision Lab
๋ฉ€ํ‹ฐ์„ผ์„œ ํ”Œ๋žซํผ ๊ตฌ์ถ•
์ปดํ“จํ„ฐ๋น„์ „ & ๋จธ์‹ ๋Ÿฌ๋‹ ๊ธฐ๋ฐ˜ ์„ผ์„œ ํ“จ์ „
์„ผ์„œ ํ“จ์ „ ๊ธฐ๋ฐ˜ ๊ฐ•์ธํ•œ ์ธ์ง€ ์•Œ๊ณ ๋ฆฌ์ฆ˜ ์—ฐ๊ตฌ
์„ผ์„œ ํ“จ์ „ & ์ปดํ“จํ„ฐ ๋น„์ „ (Sensor Fusion & Computer Vision)
์˜์ƒ ํ™”์งˆ ๊ฐœ์„  (Image Enhancement)
์˜์ƒ ๊ธฐ๋ฐ˜ ๊ฑฐ๋ฆฌ ์ถ”์ • (Supervised/Self-supervised Depth Estimation)
๋ฐ์ดํ„ฐ ์ฆ๊ฐ• (Data Augmentation)
2D/3D/BEV ๋ฌผ์ฒด ๊ฒ€์ถœ (2D/3D/BEV Object Detection)
์ž์œจ์ฃผํ–‰์„ ์œ„ํ•œ ์ฃผ๋ณ€ ํ™˜๊ฒฝ ์ธ์ง€ (Perception for Autonomous Driving)
๋ฐ์ดํ„ฐ์…‹ ์ฆ๋ฅ˜ (Dataset Distillation)
๋Šฅ๋™ ํ•™์Šต (Active Learning)
์ง€์† ํ•™์Šต (Continual Learning)
๋ฐ์ดํ„ฐ ์ค‘์‹ฌ AI: ๋ฐ์ดํ„ฐ ํšจ์œจ์  ํ•™์Šต (Data-centric AI)