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Dr. Sungwoong Kim, an SLSP graduate, visited his home lab last Wednesday.

 

He provided advice and guidance to his juniors about image segmentation and other tasks, especially involving his novel SMM algorithm.

 

In addition, Dr. Kim gave a presentation about efficient feature learning methods applying the exisitng CRF-CNN model.

 

Dr. Kim has actively worked at Qualcomm Korea since his graduation in 2011.

No.
Subject
Author
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51 [Conference] IEEE/IEIE ICCE-Asia 2018
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50 [New faces] New members in AIM lab file
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49 [Graduation] Master students file
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48 [AI competition]AIM lab won 3rd place file
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47 [Project]VTT-AI center open up file
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46 [Defense]Sanghyuk Park successfully defensed Ph.D dissertation file
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43 [URP Program]Second place at KAIST URP file
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42 [Challenge] Team KAIST-SLSP participated in ILSVRC 2016 file
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41 [Workshop]Theory and Exercise in Deep Learning file
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40 [Workshop] Machine Learning Tutorial 2016 file
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39 [Graduation] Two MS candidates graduate from SLSP in February 2016. file
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