Eddie's Learning RecordsEddie's Learing Record 44
1. DurationMonday, Apr. 24th, 2023 - Sunday, Apr. 30th, 20232. Learning Records2.1. UpdatingRevised my English Curriculum Vitae and Chinese Resume bas...
Eddie's Learning RecordsEddie's Learning Record 23
1. Duration Monday, November 7th, 2022 - Saturday, November 12th, 2022 2. Learning Record 2.1 Give a Pitch to My Junior Fellow I supposed him to be a professor of deep learning, but he turned out to be a rookie. He even didn't finish the machine learning course. Luckily, he is interested in t...
Eddie's Learning RecordsEddie's Learning Record 39
Eddie's Learning RecordsEddie's Learing Record 44
1. DurationMonday, Apr. 24th, 2023 - Sunday, Apr. 30th, 20232. Learning Records2.1. UpdatingRevised my English Curriculum Vitae and Chinese Resume bas...
Eddie's Learning RecordsEddie's Learning Record 23
1. Duration Monday, November 7th, 2022 - Saturday, November 12th, 2022 2. Learning Record 2.1 Give a Pitch to My Junior Fellow I supposed him to be a professor of deep learning, but he turned out to be a rookie. He even didn't finish the machine learning course. Luckily, he is interested in t...
Eddie's Learning RecordsEddie's Learning Record 39
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Monday, March 27th, 2023 - Sunday, April 2nd, 2023
Redid macro-expression spotting experiments on CAS(ME)^2 and SAMM Long Videos datasets. Combining different versions of macro- and micro-expression spotting experiment outcomes resulted in different performances. Luckily, There was some improvement in the overall analysis.
Built the .py file that combines extraction and pre-processing together. It seemed to work well.
Wrote parts of my paper draft which demonstrates Swin Transformer, Shifted Patch Tokenization, Locality Self-Attention, and spotting.
Searched for potential supervisors in HKU and HKUST.
It was damn humid. Everything was damn wet.
Monday, March 27th, 2023 - Sunday, April 2nd, 2023
Redid macro-expression spotting experiments on CAS(ME)^2 and SAMM Long Videos datasets. Combining different versions of macro- and micro-expression spotting experiment outcomes resulted in different performances. Luckily, There was some improvement in the overall analysis.
Built the .py file that combines extraction and pre-processing together. It seemed to work well.
Wrote parts of my paper draft which demonstrates Swin Transformer, Shifted Patch Tokenization, Locality Self-Attention, and spotting.
Searched for potential supervisors in HKU and HKUST.
It was damn humid. Everything was damn wet.
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