-
Notifications
You must be signed in to change notification settings - Fork 1
/
index.html
673 lines (626 loc) · 35.8 KB
/
index.html
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
<!DOCTYPE html>
<html lang="en">
<head>
<meta http-equiv="content-type" charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<meta property='og:type' content='website'>
<meta property='og:title' content='Sora Takashima Portfolio'>
<meta property='og:url' content='https://masora1030.github.io/soraemonpockt/'>
<meta property='og:description' content='Sora Takashima Portfolio'>
<meta property="og:image" content="static/img/bosssub.png">
<meta name="description" content="Sora Takashima Portfolio" />
<link rel="shortcut icon" href="static/img/self.png" />
<link rel=”canonical” href=”https://masora1030.github.io/soraemonpockt/” />
<title>Sora Takashima</title>
<link href="https://fonts.googleapis.com/icon?family=Material+Icons" rel="stylesheet">
<style>
body {
font-family: Arial, sans-serif;
margin: 0;
padding: 0;
color: #333;
}
.container {
max-width: 1200px;
margin: 0 auto;
padding: 40px;
}
header {
text-align: center;
margin-bottom: 60px;
}
header img {
width: 200px;
height: 200px;
object-fit: cover;
object-position: center;
border-radius: 50%;
cursor: pointer;
transition: all 0.3s ease;
}
header h1 {
font-size: 36px;
margin: 10px 0;
}
header p {
font-size: 18px;
margin-bottom: 40px;
}
.hamburger-menu {
position: fixed;
top: 10px;
left: 10px;
z-index: 1000;
cursor: pointer;
}
.hamburger-menu i {
font-size: 36px;
color: #1abc9c;
}
.nav {
position: fixed;
top: 60px;
left: 10px;
background-color: rgba(0, 0, 0, 0.9);
border-radius: 5px;
padding: 10px;
z-index: 999;
opacity: 0;
pointer-events: none;
transform: translateY(-20px);
transition: all 0.3s ease;
}
.nav.active {
opacity: 1;
pointer-events: auto;
transform: translateY(0);
}
.nav ul {
list-style: none;
margin: 0;
padding: 0;
}
.nav li {
margin-bottom: 10px;
}
.nav a {
color: white;
text-decoration: none;
font-size: 18px;
transition: color 0.3s ease;
}
.nav a:hover {
color: #1abc9c;
}
.section {
margin-bottom: 60px;
}
.section h2 {
font-size: 30px;
color: #1abc9c;
margin-bottom: 20px;
text-align: center;
}
.grid {
display: grid;
grid-template-columns: repeat(auto-fit, minmax(250px, 1fr));
gap: 20px;
margin-bottom: 20px;
}
.item {
display: flex;
align-items: center;
padding: 20px;
border: 1px solid #1abc9c;
border-radius: 5px;
transition: all 0.3s ease;
}
.item:hover {
box-shadow: 0 5px 15px rgba(0, 0, 0, 0.1);
transform: translateY(-5px);
}
.grid a {
text-decoration: none;
}
.item img {
width: 80px;
height: 80px;
margin-right: 20px;
}
.contact-grid {
display: flex;
justify-content: center;
gap: 20px;
margin-bottom: 20px;
}
.circle {
width: 60px;
height: 60px;
border-radius: 50%;
background-color: #1abc9c;
display: flex;
align-items: center;
justify-content: center;
transition: all 0.3s ease;
}
.circle:hover {
box-shadow: 0 5px 15px rgba(0, 0, 0, 0.2);
transform: translateY(-5px);
}
.circle img {
width: 50px;
}
.scroll-to-top {
background-color: #34495e;
color: white;
font-size: 18px;
padding: 8px;
border-radius: 5px;
cursor: pointer;
opacity: 0;
pointer-events: none;
transition: all 0.3s ease;
}
.language-toggle {
background-color: #34495e;
color: white;
font-size: 18px;
padding: 8px;
border-radius: 5px;
cursor: pointer;
opacity: 1;
pointer-events: auto;
transition: all 0.3s ease;
}
.scroll-to-top.active{
opacity: 1;
pointer-events: auto;
}
.scroll-to-top {
position: fixed;
right: 20px;
bottom: 20px;
}
.language-toggle {
position: fixed;
top: 20px;
right: 20px;
}
</style>
</head>
<body>
<div class="hamburger-menu" onclick="toggleMenu()">
<i class="material-icons">menu</i>
</div>
<div class="nav" id="nav">
<ul>
<li><a href="#experience" onclick="scrollToSectionSmoothly('experience')">Experience</a></li>
<li><a href="#research" onclick="scrollToSectionSmoothly('research')">Research</a></li>
<li><a href="#education" onclick="scrollToSectionSmoothly('education')">Education</a></li>
<li><a href="#works" onclick="scrollToSectionSmoothly('works')">Works</a></li>
<li><a href="#contact" onclick="scrollToSectionSmoothly('contact')">Contact</a></li>
</ul>
</div>
<div class="container">
<header>
<img src="static/img/about/profile.jpg" alt="Sora Takashima" onclick="moveProfileImage()">
<h1 class="langCng" lang="EN">Sora Takashima</h1>
<h1 class="langCng" lang="JP">高島 空良</h1>
<p class="langCng" lang="EN">
Thank you for viewing my portfolio site!<br>
I am Sora Takashima, currently working as a NLP machine learning engineer.<br>
I have completed my master's degree at <a href="https://www.rio.gsic.titech.ac.jp/jp/index.html" target="_blank">YOKOTA Lab.</a> in <a href="https://www.titech.ac.jp" target="_blank">Tokyo Institute of Technology</a>.<br>
My research interests include large-scale distributed learning with supercomputing and computer vision.<br>
I am also playing competitive programming (<a href="https://atcoder.jp/users/Skygood" target="_blank">AtCoder profile</a>, <a href="https://codeforces.com/profile/soraemonpockt" target="_blank">Codeforces profile</a>) as hobbies.
</p>
<p class="langCng" lang="JP">
こんにちは！<br>
私は現在、自然言語処理を扱う機械学習エンジニアとして働いている、高島空良（タカシマ ソラ）と申します。<br>
修士課程では、スパコンを用いた大規模分散深層学習や画像認識についての研究に従事していました。<br>
趣味で少しだけ競技プログラミング(<a href="https://atcoder.jp/users/Skygood" target="_blank">AtCoder profile</a>, <a href="https://codeforces.com/profile/soraemonpockt" target="_blank">Codeforces profile</a>)を嗜んでいます。
</p>
</header>
<section class="section" id="head-contact">
<div class="contact-grid">
<!-- Add more items as needed -->
<div class="circle">
<a class="contact-link" href="https://twitter.com/soraemonpockts" target="_blank">
<img src="static/img/contact/icon_tw.png" alt="Email Icon">
</a>
</div>
<div class="circle">
<a class="contact-link" href="https://www.facebook.com/soraemonpockt" target="_blank">
<img src="static/img/contact/icon_fb.png" alt="Email Icon">
</a>
</div>
<div class="circle">
<a class="contact-link" href="https://github.com/masora1030" target="_blank">
<img src="static/img/contact/icon_gh.png" alt="Email Icon">
</a>
</div>
<div class="circle">
<a class="contact-link" href="https://www.linkedin.com/in/sora-takashima" target="_blank">
<img src="static/img/contact/icon_li.png" alt="Email Icon">
</a>
</div>
<div class="circle">
<a class="contact-link" href="mailto:[email protected]" target="_blank">
<img src="static/img/contact/mail_icon.png" alt="Email Icon">
</a>
</div>
</div>
</section>
<section class="section" id="experience">
<h2>Experience</h2>
<div class="grid">
<div class="item">
<img src="static/img/experience/icon_ly.png" alt="Experience Icon">
<div>
<h3>Machine Learning Engineer (Apr. 2023 - present)</h3>
<p class="langCng" lang="EN"><a href="https://www.lycorp.co.jp/en/" target="_blank">LY corporation</a>, Tokyo, present, Full-time employee</p>
<p class="langCng" lang="JP"><a href="https://www.lycorp.co.jp/ja/" target="_blank">LINEヤフー</a>, 東京, 現職, 正社員</p>
<p class="langCng" lang="EN">
As a machine learning engineer, working to improve the quality of location search using neural search technology.
</p>
<p class="langCng" lang="JP">
機械学習エンジニアとして、ユーザーの検索クエリに対して掲示する情報のカバレッジと精度を高めるプロジェクトに従事しています。
</p>
</div>
</div>
</div>
<div class="grid">
<div class="item">
<img src="static/img/experience/icon_aist.jpeg" alt="Experience Icon">
<div>
<h3>Research Assistant (Apr. 2021 - Mar. 2023)</h3>
<p class="langCng" lang="EN"><a href="https://www.aist.go.jp/index_en.html" target="_blank">National Institute of Advanced Industrial Science and Technology (AIST)</a>, Tokyo, 2 years, part-time-job</p>
<p class="langCng" lang="JP"><a href="https://www.aist.go.jp" target="_blank">産業技術総合研究所</a>, 東京, 2年, アルバイト</p>
<p class="langCng" lang="EN">
I worked as a Research Assistant at the <a href="https://www.digiarc.aist.go.jp/en" target="_blank">Digital Architecture Research Center (DigiARC)</a>.<br>
I researched primarily about computer vision and large-scale deep learning. Details of research is <a href="#research" onclick="scrollToSectionSmoothly('research')">here</a>.
</p>
<p class="langCng" lang="JP">
<a href="https://www.digiarc.aist.go.jp/en" target="_blank">Digital Architecture Research Center (DigiARC)</a>にリサーチアシスタントとして所属し研究に従事していました。<br>
主な研究分野は大規模分散深層学習と画像認識です。研究成果の詳細は<a href="#research" onclick="scrollToSectionSmoothly('research')">こちら</a>。
</p>
</div>
</div>
</div>
<div class="grid">
<div class="item">
<img src="static/img/experience/icon_nttdata.png" alt="Experience Icon">
<div>
<h3>Research and Development Internship (Feb. 2022)</h3>
<p class="langCng" lang="EN"><a href="https://www.nttdata.com/global/en" target="_blank">NTT DATA</a>, Tokyo, 3 weeks, Full-time internship</p>
<p class="langCng" lang="JP"><a href="https://www.nttdata.com/jp/ja" target="_blank">NTT DATA</a>, 東京, 3週間, フルタイムインターンシップ</p>
<p class="langCng" lang="EN">
I engaged in improving the accuracy of the object detection task for illustration images.
</p>
<p class="langCng" lang="JP">
研究開発インターンシップにて、イラスト画像の物体検出タスクの精度改善に取り組みました。
</p>
</div>
</div>
</div>
<div class="grid">
<div class="item">
<img src="static/img/experience/icon_yahoo.png" alt="Experience Icon">
<div>
<h3>Research and Development Internship (Oct. 2021 - Nov. 2021)</h3>
<p class="langCng" lang="EN"><a href="https://about.yahoo.co.jp/en/info" target="_blank">Yahoo! Japan</a>, Tokyo, 3 weeks, Full-time internship</p>
<p class="langCng" lang="JP"><a href="https://about.yahoo.co.jp" target="_blank">Yahoo! Japan</a>, 東京, 3週間, フルタイムインターンシップ</p>
<p class="langCng" lang="EN">
For reranking learning when searching for locations, I examined and evaluated ways to improve accuracy by introducing neural search technology, etc.
</p>
<p class="langCng" lang="JP">
研究開発インターンシップにて、拠点検索を行う際のリランキング学習に対して、ニューラル検索技術導入などによる精度向上を検討し評価しました。
</p>
<p class="langCng" lang="EN">Submitted Paper : <a href="https://www.jstage.jst.go.jp/article/pjsai/JSAI2022/0/JSAI2022_4O1GS404/_article/-char/en" target="_blank">Hybrid POI Search Combining Geographical Features and Deep Metric Learning-based Semantic Similarity</a></p>
<p class="langCng" lang="JP">成果が含まれる共著論文 : <a href="https://www.jstage.jst.go.jp/article/pjsai/JSAI2022/0/JSAI2022_4O1GS404/_article/-char/ja" target="_blank">地理的距離等の数値情報と深層距離学習に基づく意味的類似度を用いた拠点検索</a></p>
</div>
</div>
</div>
<div class="grid">
<div class="item">
<img src="static/img/experience/sony_icon.jpeg" alt="Experience Icon">
<div>
<h3>Research and Development Internship (Sep. 2021 - Oct. 2021)</h3>
<p class="langCng" lang="EN"><a href="https://www.sony.com/en/SonyInfo/research" target="_blank">Sony | R&D</a>, Tokyo, 3 weeks, Full-time internship</p>
<p class="langCng" lang="JP"><a href="https://www.sony.com/ja/SonyInfo/research" target="_blank">Sony | R&D</a>, 東京, 3週間, フルタイムインターンシップ</p>
<p class="langCng" lang="EN">
I investigated deep learning methods for domain generalization for image classification of cross-domain pathological image datasets.
</p>
<p class="langCng" lang="JP">
研究開発インターンシップにて、クロスドメインな病理画像データセットの画像分類を行う深層学習タスクに対して、ドメイン汎化する学習手法の検討を行いました。
</p>
</div>
</div>
</div>
<div class="grid">
<div class="item">
<img src="static/img/experience/icon_line.png" alt="Experience Icon">
<div>
<h3>Software Engineer Internship (Aug. 2021 - Sep. 2021)</h3>
<p class="langCng" lang="EN"><a href="https://linecorp.com/en" target="_blank">LINE Corp</a>, Tokyo, 2 months, Full-time internship</p>
<p class="langCng" lang="JP"><a href="https://linecorp.com" target="_blank">LINE Corp</a>, 東京, 2ヶ月, フルタイムインターンシップ</p>
<p class="langCng" lang="EN">
I developed a distributed processing system using task queues.<br>
Please see the attached technical blog for details.
</p>
<p class="langCng" lang="JP">
サーバーサイドエンジニアのインターンにて、タスクキュー（Redis）を用いた分散処理システムを構築しました。<br>
内容詳細については下記技術ブログをご覧ください。
</p>
<p>Tech Blog : <a href="https://engineering.linecorp.com/ja/blog/internship2021-task-queue" target="_blank">【インターンレポート】タスクキューを用いたタイムラプス作成等の高負荷な処理の高速化</a></p>
</div>
</div>
</div>
<div class="grid">
<div class="item">
<img src="static/img/experience/icon_fixstars.png" alt="Experience Icon">
<div>
<h3>Software Engineer Internship / Part-time-job (Jan. 2021 - Jul. 2021)</h3>
<p class="langCng" lang="EN"><a href="https://www.fixstars.com/en" target="_blank">Fixstars Solutions</a>, Tokyo, 6 months, Full-time internship and part-time-job</p>
<p class="langCng" lang="JP"><a href="https://www.fixstars.com" target="_blank">Fixstars Solutions</a>, 東京, 6ヶ月, フルタイムインターンシップ / アルバイト</p>
<p class="langCng" lang="EN">
I worked part-time in research and development related to deep learning after a 3-weeks full-time internship.<br>
In order to improve the accuracy and inference speed of image recognition with deep learning, I investigated and evaluated various models.<br>
In particular, I conducted research on ML compilers in my part-time job.
</p>
<p class="langCng" lang="JP">
3週間フルタイムのインターンシップを行ったのち、アルバイトとして深層学習に関連する研究開発に携わりました。<br>
深層学習による画像認識の精度と推論速度を高めるために、様々な学習モデルの検討や評価を行いました。<br>
特にアルバイトではMLコンパイラに関する調査を行いました。
</p>
</div>
</div>
</div>
<div class="grid">
<div class="item">
<img src="static/img/experience/icon_flywheel.png" alt="Experience Icon">
<div>
<h3>Software Engineer Internship (Aug. 2020 - Oct. 2020)</h3>
<p class="langCng" lang="EN"><a href="https://www.flywheel.jp" target="_blank">FLYWHEEL Inc.</a>, Tokyo, 2 months, Full-time internship</p>
<p class="langCng" lang="JP"><a href="https://www.flywheel.jp" target="_blank">FLYWHEEL Inc.</a>, 東京, 2ヶ月, フルタイムインターンシップ</p>
<p class="langCng" lang="EN">As a data infrastructure engineer, I was involved in the development of a data extraction flow on the web and the construction of a data flow pipeline to format and process the huge daily flow of data and store it in object storage.</p>
<p class="langCng" lang="JP">Web上のデータ抽出フローや、毎日膨大に流れてくるデータを整形処理してオブジェクトストレージに保存するデータフローパイプラインの構築など、データインフラエンジニアとして開発に携わりました。</p>
<p>Interview Blog : <a href="https://www.flywheel.jp/topics/20201020" target="_blank">FLYWHEEL Summer Internship 2020 Vol.2</a></p>
</div>
</div>
</div>
<div class="grid">
<div class="item">
<img src="static/img/experience/icon_ibm.jpg" alt="Experience Icon">
<div>
<h3>IT Consultant Internship (Sep. 2019/2021)</h3>
<p class="langCng" lang="EN"><a href="https://www.ibm.com/jp-ja" target="_blank">IBM</a>, Tokyo, 1 week, internship</p>
<p class="langCng" lang="JP"><a href="https://www.ibm.com/jp-ja" target="_blank">IBM</a>, 東京, 1週間, インターンシップ</p>
<p class="langCng" lang="EN">In 2019, I was a Developer in a scrum development team of 6 people, where I proposed app features, created UI, and implemented features. In 2021, I was the Product Owner position, leading the team by designing the app, designing it, and subdividing tasks.</p>
<p class="langCng" lang="JP">2019年には6人チームでのスクラム開発にてDeveloperポジションとして、アプリ機能の提案やUIの作成、機能の実装をしました。2021年にはProduct Ownerポジションとして、アプリ設計からデザイン、タスクの細分化など、チームリードを行いました。</p>
</div>
</div>
</div>
<div class="grid">
<div class="item">
<img src="static/img/experience/icon_teamlab.png" alt="Experience Icon">
<div>
<h3>Software Engineer Internship (Aug. 2019)</h3>
<p class="langCng" lang="EN"><a href="https://www.team-lab.com" target="_blank">teamLab</a>, Tokyo, 2 weeks, Full-time internship</p>
<p class="langCng" lang="JP"><a href="https://www.team-lab.com" target="_blank">teamLab</a>, 東京, 2週間, フルタイムインターンシップ</p>
<p class="langCng" lang="EN">I designed and developed a web application (for demonstration purposes) using NoSQL database for high-speed data retrieval.</p>
<p class="langCng" lang="JP">NoSQL databaseを用いた高速なデータ検索を用いたWebアプリケーション(デモ用)の設計、開発をしました。</p>
</div>
</div>
</div>
</section>
<section class="section" id="research">
<h2>Research (Publications and Presentations)</h2>
<div class="grid">
<div class="item">
<div>
<h3><a href="https://openaccess.thecvf.com/content/ICCV2023/papers/Nakamura_Pre-training_Vision_Transformers_with_Very_Limited_Synthesized_Images_ICCV_2023_paper.pdf" target="_blank">Pre-training Vision Transformers with Very Limited Synthesized Images</a></h3>
<p class="langCng" lang="EN">Ryo Nakamura, Hirokatsu Kataoka, <b>Sora Takashima</b>, Edgar Josafat Martinez Noriega, Rio Yokota and Nakamasa Inoue, Peer-reviewed paper, <br>IEEE/CVF International Conference on Computer Vision (<b>ICCV 2023</b>) (<b><span style="color: #ff0000;">Accept rate: 26.2 %</span></b>). <br><a href="https://ryoo-nakamura.github.io/One-instance-FractalDB/" target="_blank">project page</a></p>
<p class="langCng" lang="JP">Ryo Nakamura, Hirokatsu Kataoka, <b>Sora Takashima</b>, Edgar Josafat Martinez Noriega, Rio Yokota and Nakamasa Inoue, 国際査読付き, <br>IEEE/CVF International Conference on Computer Vision (<b>ICCV 2023</b>) (<b><span style="color: #ff0000;">採択率: 26.2 %</span></b>). <br><a href="https://ryoo-nakamura.github.io/One-instance-FractalDB/" target="_blank">プロジェクトページ</a></p>
</div>
</div>
</div>
<div class="grid">
<div class="item">
<div>
<h3><a href="https://openaccess.thecvf.com/content/CVPR2023/papers/Takashima_Visual_Atoms_Pre-Training_Vision_Transformers_With_Sinusoidal_Waves_CVPR_2023_paper.pdf" target="_blank">Visual Atoms: Pre-training Vision Transformers with Sinusoidal Waves</a></h3>
<p class="langCng" lang="EN"><b>Sora Takashima</b>, Ryo Hayamizu, Hirokatsu Kataoka, Nakamasa Inoue, and Rio Yokota, Peer-reviewed paper, <br>IEEE/CVF Conference on Computer Vision and Pattern Recognition (<b>CVPR 2023</b>) (<b><span style="color: #ff0000;">Accept rate: 25.8 %</span></b>). <br><a href="https://masora1030.github.io/Visual-Atoms-Pre-training-Vision-Transformers-with-Sinusoidal-Waves/" target="_blank">project page</a></p>
<p class="langCng" lang="JP"><b>Sora Takashima</b>, Ryo Hayamizu, Hirokatsu Kataoka, Nakamasa Inoue, and Rio Yokota, 国際査読付き, <br>IEEE/CVF Conference on Computer Vision and Pattern Recognition (<b>CVPR 2023</b>) (<b><span style="color: #ff0000;">採択率: 25.8 %</span></b>). <br><a href="https://masora1030.github.io/Visual-Atoms-Pre-training-Vision-Transformers-with-Sinusoidal-Waves/" target="_blank">プロジェクトページ</a></p>
</div>
</div>
</div>
<div class="grid">
<div class="item">
<div>
<h3><a href="https://www.slideshare.net/cvpaperchallenge/foundation-models" target="_blank">【メタサーベイ】基盤モデル / Foundation Models</a></h3>
<p class="langCng" lang="EN"><b>高島 空良</b>, 中村 凌, 山田 亮佑, and 片岡 裕雄, Presentation material, Cvpaper.Challenge Conference Summer (<b>CCCS 2022</b>).</p>
<p class="langCng" lang="JP"><b>高島 空良</b>, 中村 凌, 山田 亮佑, and 片岡 裕雄, 講演資料, Cvpaper.Challenge Conference Summer (<b>CCCS 2022</b>).</p>
</div>
</div>
</div>
<div class="grid">
<div class="item">
<div>
<h3 class="langCng" lang="EN"><a href="https://www.jstage.jst.go.jp/article/pjsai/JSAI2022/0/JSAI2022_4O1GS404/_article/-char/en" target="_blank">Hybrid POI Search Combining Geographical Features and Deep Metric Learning-based Semantic Similarity</a></h3>
<h3 class="langCng" lang="JP"><a href="https://www.jstage.jst.go.jp/article/pjsai/JSAI2022/0/JSAI2022_4O1GS404/_article/-char/ja" target="_blank">地理的距離等の数値情報と深層距離学習に基づく意味的類似度を用いた拠点検索</a></h3>
<p class="langCng" lang="EN">Yusuke Okimoto, <b>Sora Takashima</b>, Kenta Kanamori, Xinhu Lan, and Junji Saikawa, Non-peer-reviewed paper, Japanese Society for Artificial Intelligence (<b>JSAI 2022</b>).</p>
<p class="langCng" lang="JP">沖本 祐典, <b>高島 空良</b>, 金森 研太, 蘭 心湖, 宰川 潤二, 国内査読なし, Japanese Society for Artificial Intelligence (<b>JSAI 2022</b>).</p>
</div>
</div>
</div>
<div class="grid">
<div class="item">
<div>
<h3><a href="https://openaccess.thecvf.com/content/CVPR2022/html/Kataoka_Replacing_Labeled_Real-Image_Datasets_With_Auto-Generated_Contours_CVPR_2022_paper.html" target="_blank">Replacing Labeled Real-Image Datasets With Auto-Generated Contours</a></h3>
<p class="langCng" lang="EN">Hirokatsu Kataoka, Ryo Hayamizu, Ryosuke Yamada, Kodai Nakashima, <b>Sora Takashima</b>, Xinyu Zhang, Edgar Josafat Martinez-Noriega, Nakamasa Inoue, and Rio Yokota, Peer-reviewed paper, <br>IEEE/CVF Conference on Computer Vision and Pattern Recognition (<b>CVPR 2022</b>) (<b><span style="color: #ff0000;">Accept rate: 25.3 %</span></b>). <br><a href="https://hirokatsukataoka16.github.io/Replacing-Labeled-Real-Image-Datasets/" target="_blank">project page</a></p>
<p class="langCng" lang="JP">Hirokatsu Kataoka, Ryo Hayamizu, Ryosuke Yamada, Kodai Nakashima, <b>Sora Takashima</b>, Xinyu Zhang, Edgar Josafat Martinez-Noriega, Nakamasa Inoue, and Rio Yokota, 国際査読付き, <br>IEEE/CVF Conference on Computer Vision and Pattern Recognition (<b>CVPR 2022</b>) (<b><span style="color: #ff0000;">採択率: 25.3 %</span></b>). <br><a href="https://hirokatsukataoka16.github.io/Replacing-Labeled-Real-Image-Datasets/" target="_blank">プロジェクトページ</a></p>
</div>
</div>
</div>
</section>
<section class="section" id="education">
<h2>Educational Background</h2>
<div class="grid">
<!-- Add more items as needed -->
<div class="item">
<img src="static/img/education/icon_tech.jpg" alt="Education Icon">
<div>
<h3 class="langCng" lang="EN">Master of Engineering in Computer Science (Apr. 2021 - Mar. 2023)</h3>
<h3 class="langCng" lang="JP">修士課程（情報理工学院 情報工学系） (Apr. 2021 - Mar. 2023)</h3>
<p class="langCng" lang="EN"><a href="https://www.titech.ac.jp" target="_blank">Tokyo Institute of Technology</a>, Tokyo</p>
<p class="langCng" lang="JP"><a href="https://www.titech.ac.jp" target="_blank">東京工業大学大学院</a></p>
<p class="langCng" lang="EN">Advisor : <a href="https://www.rio.gsic.titech.ac.jp" target="_blank">Prof. Rio Yokota</a></p>
<p class="langCng" lang="JP">指導教員 : <a href="https://www.rio.gsic.titech.ac.jp" target="_blank">横田理央 教授</a></p>
<p>GPA : 3.52</p>
</div>
</div>
</div>
<div class="grid">
<div class="item">
<img src="static/img/education/icon_tech.jpg" alt="Education Icon">
<div>
<h3 class="langCng" lang="EN">Bachelor of Engineering in Computer Science (Apr. 2017 - Mar. 2021)</h3>
<h3 class="langCng" lang="JP">学士課程（情報理工学院 情報工学系） (Apr. 2017 - Mar. 2021)</h3>
<p class="langCng" lang="EN"><a href="https://www.titech.ac.jp" target="_blank">Tokyo Institute of Technology</a>, Tokyo</p>
<p class="langCng" lang="JP"><a href="https://www.titech.ac.jp" target="_blank">東京工業大学大</a></p>
<p class="langCng" lang="EN">Advisor : <a href="https://www.rio.gsic.titech.ac.jp" target="_blank">Prof. Rio Yokota</a></p>
<p class="langCng" lang="JP">指導教員 : <a href="https://www.rio.gsic.titech.ac.jp" target="_blank">横田理央 教授</a></p>
<p>GPA : 3.50</p>
<p class="langCng" lang="EN">Student groups : <a href="https://www.t-scitech.net/" target="_blank">ScienceTechno (scitech)</a>, tea ceremony club</p>
<p class="langCng" lang="JP">サークル/部活動 : <a href="https://www.t-scitech.net/" target="_blank">東工大ScienceTechno (サイテク)</a>, 茶道部</p>
</div>
</div>
</div>
</section>
<section class="section" id="works">
<h2>Works</h2>
<div class="grid">
<div class="item">
<img src="static/img/myworks/icon_pypi.png" alt="Work Icon">
<div>
<h3>Eigoyurusan</h3>
<p class="langCng" lang="EN">This is a Python CLI application that automatically translates any PDF of English paper using DeepL and displays PDF in the browser with a table of contents. (Currently not maintenanced).</p>
<p class="langCng" lang="JP">英語論文のPDFをDeepLで翻訳した後、章ごとに整形して目次付きでブラウザ上に表示できる、PythonのCLIアプリケーションです。(現在動作未確認)</p>
<p>[<a href="https://github.com/masora1030/eigoyurusan" target="_blank">GitHub</a>] [<a href="https://pypi.org/project/eigoyurusan" target="_blank">PyPI</a>] [<a href="https://twitter.com/soraemonpockts/status/1283668697354080258?s=20" target="_blank">demo video</a>]</p>
</div>
</div>
</div>
<div class="grid">
<div class="item">
<img src="static/img/myworks/icon_myself.png" alt="Work Icon">
<div>
<h3 class="langCng" lang="EN"><a href="https://masora1030.github.io/soraemonpockt">This portfolio site</a></h3>
<h3 class="langCng" lang="JP"><a href="https://masora1030.github.io/soraemonpockt">ポートフォリオサイト</a></h3>
<p class="langCng" lang="EN">This portfolio site is based on a HTML and CSS template generated by <a href="https://openai.com/blog/chatgpt" target="_blank">chatGPT</a> (<a href="https://openai.com/product/gpt-4" target="_blank">GPT-4</a>).</p>
<p class="langCng" lang="JP">このポートフォリオサイトは、<a href="https://openai.com/blog/chatgpt" target="_blank">chatGPT</a> (<a href="https://openai.com/product/gpt-4" target="_blank">GPT-4</a>)が生成出力したHTML・CSSのテンプレートに基づいて作成されています。</p>
</div>
</div>
</div>
</section>
<section class="section" id="contact">
<h2>Contact Information</h2>
<div class="contact-grid">
<!-- Add more items as needed -->
<div class="circle">
<a class="contact-link" href="https://twitter.com/soraemonpockts" target="_blank">
<img src="static/img/contact/icon_tw.png" alt="Email Icon">
</a>
</div>
<div class="circle">
<a class="contact-link" href="https://www.facebook.com/soraemonpockt" target="_blank">
<img src="static/img/contact/icon_fb.png" alt="Email Icon">
</a>
</div>
<div class="circle">
<a class="contact-link" href="https://github.com/masora1030" target="_blank">
<img src="static/img/contact/icon_gh.png" alt="Email Icon">
</a>
</div>
<div class="circle">
<a class="contact-link" href="https://www.linkedin.com/in/sora-takashima" target="_blank">
<img src="static/img/contact/icon_li.png" alt="Email Icon">
</a>
</div>
<div class="circle">
<a class="contact-link" href="mailto:[email protected]" target="_blank">
<img src="static/img/contact/mail_icon.png" alt="Email Icon">
</a>
</div>
<!-- Add more contact items here -->
</div>
</section>
</div>
<button class="scroll-to-top" onclick="scrollToTop()">Top</button>
<button class="language-toggle" onclick="toggleLanguage()">EN</button>
<script>
window.onload = function() {
var button = document.querySelector('.language-toggle');
var currentLanguage = button.textContent;
langSet(currentLanguage);
}
function langSet(argLang) {
var elm = document.getElementsByClassName('langCng');
for (var i = 0; i < elm.length; i++) {
if(elm[i].getAttribute('lang') == argLang){
elm[i].style.display = '';
}
else{
elm[i].style.display = 'none';
}
}
}
function toggleLanguage() {
const button = document.querySelector('.language-toggle');
const currentLanguage = button.textContent;
if (currentLanguage === 'EN') {
button.textContent = 'JP';
// Add functionality to switch the content to Japanese
} else {
button.textContent = 'EN';
// Add functionality to switch the content back to English
}
langSet(button.textContent)
}
function moveProfileImage() {
const profileImage = document.querySelector('header img');
const randomX = Math.floor(Math.random() * 100) - 50;
const randomY = Math.floor(Math.random() * 100) - 50;
const randomRotation = Math.floor(Math.random() * 360);
profileImage.style.transform = `translate(${randomX}px, ${randomY}px) rotate(${randomRotation}deg)`;
}
function scrollToTop() {
window.scrollTo({ top: 0, behavior: 'smooth' });
}
function toggleMenu() {
const nav = document.getElementById('nav');
nav.classList.toggle('active');
}
function scrollToSectionSmoothly(sectionId) {
const section = document.getElementById(sectionId);
section.scrollIntoView({ behavior: 'smooth' });
toggleMenu();
}
document.addEventListener('scroll', () => {
const scrollTopButton = document.querySelector('.scroll-to-top');
if (window.scrollY > 200) {
scrollTopButton.classList.add('active');
} else {
scrollTopButton.classList.remove('active');
}
});
// Smooth scrolling for anchor links
document.querySelectorAll('a[href^="#"]').forEach(anchor => {
anchor.addEventListener('click', function (e) {
e.preventDefault();
document.querySelector(this.getAttribute('href')).scrollIntoView({
behavior: 'smooth'
});
});
});
</script>
</body>
</html>