{"m1":[],"m2":["resume_head","resume_name","resume_base_info","resume_skill","resume_hobby"],"m3":["resume_job","resume_edu","resume_internship","resume_work","resume_project","resume_honor","resume_summary","resume_portfolio","resume_school_info"],"m4":[]}
.resume_main[data_color] .skill_item .skill_slider span::before{background-color:${color};}
.resume_main[data_color] .skill_slider s i{background-color:${relative_skill_color};}
.resume_main[data_color] .skill_style_01.skill_item .skill_slider s {border-color:${relative_skill_color};}
.resume_main[data_color] .skill_style_01.skill_item .skill_slider s i{background-color:${relative_skill_color};}
.resume_main[data_color] .skill_style_04.skill_item .skill_slider[data_level="average"] i,.resume_main[data_color] .skill_style_07.skill_item .skill_slider[data_level="average"] i{box-shadow:24px 0 0 ${relative_skill_color}, 48px 0 0 #ccc, 72px 0 0 #ccc, 96px 0 0 #ccc, 120px 0 0 #ccc;}
.resume_main[data_color] .skill_style_04.skill_item .skill_slider[data_level="good"] i,.resume_main[data_color] .skill_style_07.skill_item .skill_slider[data_level="good"] i{box-shadow:24px 0 0 ${relative_skill_color}, 48px 0 0 ${relative_skill_color}, 72px 0 0 #ccc, 96px 0 0 #ccc, 120px 0 0 #ccc;}
.resume_main[data_color] .skill_style_04.skill_item .skill_slider[data_level="advanced"] i,.resume_main[data_color] .skill_style_07.skill_item .skill_slider[data_level="advanced"] i{box-shadow:24px 0 0 ${relative_skill_color}, 48px 0 0 ${relative_skill_color}, 72px 0 0 ${relative_skill_color}, 96px 0 0 #ccc, 120px 0 0 #ccc;}
.resume_main[data_color] .skill_style_04.skill_item .skill_slider[data_level="expert"] i,.resume_main[data_color] .skill_style_07.skill_item .skill_slider[data_level="expert"] i{box-shadow:24px 0 0 ${relative_skill_color}, 48px 0 0 ${relative_skill_color}, 72px 0 0 ${relative_skill_color}, 96px 0 0 ${relative_skill_color}, 120px 0 0 #ccc;}
.resume_main[data_color] .skill_style_08.skill_item .skill_slider[data_level="average"] i{box-shadow:9px 0 0 ${relative_skill_color}, 18px 0 0 ${relative_skill_color}, 27px 0 0 ${relative_skill_color}, 36px 0 0 ${relative_skill_color}, 45px 0 0 ${relative_skill_color},54px 0 0 #ccc,63px 0 0 #ccc,72px 0 0 #ccc,81px 0 0 #ccc;}
.resume_main[data_color] .skill_style_08.skill_item .skill_slider[data_level="good"] i{box-shadow:9px 0 0 ${relative_skill_color}, 18px 0 0 ${relative_skill_color}, 27px 0 0 ${relative_skill_color}, 36px 0 0 ${relative_skill_color}, 45px 0 0 ${relative_skill_color},54px 0 0 ${relative_skill_color},63px 0 0 #ccc,72px 0 0 #ccc,81px 0 0 #ccc;}
.resume_main[data_color] .skill_style_08.skill_item .skill_slider[data_level="advanced"] i{box-shadow:9px 0 0 ${relative_skill_color}, 18px 0 0 ${relative_skill_color}, 27px 0 0 ${relative_skill_color}, 36px 0 0 ${relative_skill_color}, 45px 0 0 ${relative_skill_color},54px 0 0 ${relative_skill_color},63px 0 0 ${relative_skill_color},72px 0 0 #ccc,81px 0 0 #ccc;}
.resume_main[data_color] .skill_style_08.skill_item .skill_slider[data_level="expert"] i{box-shadow:9px 0 0 ${relative_skill_color}, 18px 0 0 ${relative_skill_color}, 27px 0 0 ${relative_skill_color}, 36px 0 0 ${relative_skill_color}, 45px 0 0 ${relative_skill_color},54px 0 0 ${relative_skill_color},63px 0 0 ${relative_skill_color},72px 0 0 ${relative_skill_color},81px 0 0 #ccc;}
.resume_main[data_color] .hobby_item .hobby_item_con .hobby_item_list a.alifont{border-color:${relative_hobby_color};color:${relative_hobby_color}; }
/* ?????? */
.resume_main[data_color] .resume_cover .cover_html svg [data-svg="fill"] {fill:${color};}
.resume_main[data_color] .resume_cover .cover_html svg [data-svg="stroke"] {stroke:${color};}
.resume_main[data_color] .resume_letter .letter_html svg [data-svg="fill"] {fill:${color};}
.resume_main[data_color] .resume_letter .letter_html svg [data-svg="stroke"] {stroke:${color};}
.resume_main[data_color] .resume_letter .letter_html svg [data-fill="fill"] {fill:${color};}
.resume_main[data_color] .resume_cover[data-type="07"] .resume_cover_avatar{border-color: ${color};}
.resume_main[data_color] .resume_cover[data-type="07"] .resume_cover_content{background:${color}}
.resume_main[data_color] .resume_cover[data-type="07"] .cover_item_list a.alifont{color: ${color};}
.resume_main[data_color] .resume_cover[data-type="08"] .resume_cover_content::after{background:${color}}
.resume_main[data_color] .resume_cover[data-type="09"] .resume_cover_content{background:${color}}
.resume_main[data_color] .resume_cover[data-type="09"] .cover_item_list a.alifont{color: ${color};}
.resume_main[data_color] .resume_cover[data-type="10"]{background-color:${color}}
.resume_main[data_color] .resume_cover[data-type="11"] .resume_cover_content{background-color:${color}}
.resume_main[data_color] .resume_cover[data-type="14"]{background-color:${color}}
.resume_main[data_color] .resume_cover[data-type="15"]{background-color:${color}}
.resume_main[data_color] .resume_cover[data-type="19"] .resume_cover_word::before{background-color:${color}}
.resume_main[data_color] .resume_cover[data-type="20"]{background-color:${color}}
.resume_main[data_color] .resume_letter[data-type="06"]{background-color:${color}}
.resume_main[data_color] .resume_letter[data-type="12"]{background-color:${color}}
.resume_main[data_color] .resume_item dl dt .default_item_html svg path{fill:${color};}
.resume_main[data_color] .resume_m2 .resume_item dl dt{background-color:${color};}
["sex","age","nation","education","marriageStatus","politicalStatus","city","jobYear","mobile","email"]
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基本信息
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錘子簡歷
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錘子簡歷
熱衷于圖像識別技術(shù),致力于將創(chuàng)新融入每一幀的像素。
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教育背景
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2018.09-2022.06
廣州科技大學(xué)
計(jì)算機(jī)科學(xué)與技術(shù)-本科
成績績點(diǎn):3.8,主修課程:計(jì)算機(jī)視覺、模式識別、深度學(xué)習(xí)等
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工作經(jīng)驗(yàn)
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2022.07-至今
廣州大鯨信息科技有限公司
圖像算法工程師
- 負(fù)責(zé)圖像處理算法的研發(fā)與優(yōu)化。
- 參與公司圖像識別系統(tǒng)的架構(gòu)設(shè)計(jì)與實(shí)現(xiàn)。
- 與團(tuán)隊(duì)協(xié)作,完成圖像數(shù)據(jù)集的標(biāo)注與清洗工作。
- 調(diào)研新的圖像識別技術(shù),保持團(tuán)隊(duì)的技術(shù)領(lǐng)先性。
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實(shí)習(xí)經(jīng)驗(yàn)
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項(xiàng)目經(jīng)驗(yàn)
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2023.02-2024.01
智能駕駛場景下的交通標(biāo)志識別
算法工程師
- 基于深度學(xué)習(xí)算法,實(shí)現(xiàn)高精度的交通標(biāo)志檢測與分類。
- 優(yōu)化模型,提高在實(shí)時視頻流上的運(yùn)行效率。
- 與硬件團(tuán)隊(duì)合作,將算法成功應(yīng)用于公司自主研發(fā)的智能駕駛系統(tǒng)。
- 發(fā)布論文《基于深度學(xué)習(xí)的智能駕駛場景下的交通標(biāo)志識別》。
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榮譽(yù)獎項(xiàng)
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- 第十屆全國計(jì)算機(jī)視覺大賽一等獎。
- 校級優(yōu)秀畢業(yè)設(shè)計(jì)獎。
- 發(fā)表論文《基于深度學(xué)習(xí)的圖像超分辨率重建》被國際期刊收錄。
- 獲得公司年度最佳員工獎。
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自我評價(jià)
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- 對圖像識別領(lǐng)域充滿熱情,具有較強(qiáng)的自學(xué)能力。
- 工作中注重團(tuán)隊(duì)協(xié)作,善于溝通。
- 具備良好的問題解決能力和創(chuàng)新思維。
- 在學(xué)術(shù)和工業(yè)界均取得過顯著的成績。
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作品展示
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+(支持jpg/png格式,單張圖片不超過2M,最多支持添加8張圖片)