-
Notifications
You must be signed in to change notification settings - Fork 1
/
index.html
769 lines (634 loc) · 27.7 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
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1">
<!-- The above 3 meta tags *must* come first in the head; any other head content must come *after* these tags -->
<!-- <link rel="shortcut icon" type="image/x-icon" href="triangle.ico"> -->
<title>CrossLoc | Scalable Aerial Localization Assisted by Multimodal Synthetic Data</title>
<meta name="keywords" content="visual localization, sim-to-real, benchmark datasets, multitask, computer vision, vision, EPFL, Swiss Federal Institute of Technology, Lausanne">
<meta name="description" content="Scalable Aerial Localization Assisted by Multimodal Synthetic Data EPFL. We propose new perspectives on reducing the need for real data for aerial localization leveraging synthetic data and cross-modal visual representations.">
<!--meta name="google-site-verification" content="tBb4aimY-zxYS_s_z86g6faxMX2G_I_Wp_kzbF3U_RM" /-->
<!-- Google font -->
<link href="https://fonts.googleapis.com/css?family=Montserrat:400,700%7CVarela+Round" rel="stylesheet">
<!-- Bootstrap -->
<link type="text/css" rel="stylesheet" href="css/bootstrap.min.css" />
<!-- Owl Carousel -->
<link type="text/css" rel="stylesheet" href="css/owl.carousel.css" />
<link type="text/css" rel="stylesheet" href="css/owl.theme.default.css" />
<!-- Magnific Popup -->
<link type="text/css" rel="stylesheet" href="css/magnific-popup.css" />
<!-- Icons -->
<link rel="stylesheet" href="css/font-awesome.min.css">
<link rel="stylesheet" href="https://cdn.rawgit.com/jpswalsh/academicons/master/css/academicons.min.css">
<!-- Custom stlylesheet -->
<link type="text/css" rel="stylesheet" href="css/style.css" />
<link type="text/css" rel="stylesheet" href="css/index.css" />
<link type="text/css" rel="stylesheet" href="css/cvpr-video.css"/>
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.2.1/jquery.min.js"></script>
<script src="//code.jquery.com/jquery-3.2.1.min.js"></script>
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/fancybox/3.2.5/jquery.fancybox.min.css" />
<script src="https://cdnjs.cloudflare.com/ajax/libs/fancybox/3.2.5/jquery.fancybox.min.js"></script>
<link rel="shortcut icon" type="image/x-icon" href="favicon.png">
<!-- HTML5 shim and Respond.js for IE8 support of HTML5 elements and media queries -->
<!-- WARNING: Respond.js doesn't work if you view the page via file:// -->
<!--[if lt IE 9]>
<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
<![endif]-->
<!-- Global site tag (gtag.js) - Google Analytics -->
<script async src="https://www.googletagmanager.com/gtag/js?id=G-T1E96WH8L1"></script>
<script>
window.dataLayer = window.dataLayer || [];
function gtag(){window.dataLayer.push(arguments);}
gtag('js', new Date());
gtag('config', 'G-T1E96WH8L1');
</script>
</head>
<body>
<!-- Header -->
<header id="home">
<!-- Background Image -->
<div style="" id='particles-js'>
</div>
<!-- /Background Image -->
<!-- Nav -->
<nav id="nav" class="navbar fixed-nav">
<div class="container">
<div class="navbar-header">
<!-- Logo -->
<div class="navbar-brand">
<a class="logo-text" href="//crossloc.github.io">CrossLoc</a>
<a href="http://topo.epfl.ch/">
<img class="logo" src="./img/EPFL_Logo_Digital_RGB_PROD.png" alt="logo">
<img class="logo-alt" src="./img/EPFL_Logo_Digital_WHITE_PROD.png" alt="logo">
</a>
</div>
<!-- /Logo -->
<!-- Collapse nav button -->
<div class="nav-collapse">
<span></span>
</div>
<!-- /Collapse nav button -->
</div>
<!-- Main navigation -->
<ul class="main-nav nav navbar-nav navbar-right">
<li><a href="#home">Home</a></li>
<li><a href="#teaser">Contributions </a></li>
<li><a href="#abstract">Abstract</a></li>
<!-- <li><a href="#datasets">Datasets</a></li>-->
<!-- <li><a href="#video">Video</a></li>-->
<li><a href="#paper">Paper</a></li>
<li><a href="https://github.com/TOPO-EPFL/CrossLoc">Code</a></li>
<li><a href="#team">Team</a></li>
<!-- <li class="has-dropdown"><a href="#blog">Blog</a> -->
<!-- <ul class="dropdown"> -->
<!-- <li><a href="blog-single.html">blog post</a></li> -->
<!-- </ul> -->
<!-- </li> -->
<!-- <li><a href="#contact">Contact</a></li> -->
</ul>
<!-- /Main navigation -->
</div>
</nav>
<!-- /Nav -->
<!-- home wrapper -->
<div class="home-wrapper">
<div class="container">
<div class="row">
<!-- home content -->
<div class="container">
<div class="home-content">
<br><br><br><br><br><br><br><br>
<h2 class="black-text">CrossLoc: Scalable Aerial Localization Assisted by Multimodal Synthetic Data</h2><br>
<h4 class="black-text">CVPR 2022</h4>
<a class="black-text" href="https://qiyan98.github.io/">Qi Yan</a><span style="opacity:0.7">,</span>
<a class="black-text" href="https://jianhao-zheng.github.io/">Jianhao Zheng</a><span style="opacity:0.7">,</span>
<a class="black-text" href="https://people.epfl.ch/simon.reding/?lang=en">Simon Reding</a><span style="opacity:0.7">,</span>
<a class="black-text" href="https://people.epfl.ch/shanci.li/?lang=en">Shanci Li</a><span style="opacity:0.7">,</span>
<a class="black-text" href="https://people.epfl.ch/iordan.doytchinov?lang=en">Iordan Doytchinov</a><span style="opacity:0.7"></span>
<br><br>
<br>
</div>
</div>
<!-- /home content -->
</div>
</div>
<img src="img_crossloc/background.gif" style="width: 100%;">
</div>
<!-- /home wrapper -->
</header>
<!-- /Header -->
<!-- Teaser -->
<div id="teaser" class="section bg-grey">
<!-- Container -->
<div class="container">
<!-- Row -->
<div class="row" style="margin: 0px">
<div class="black-text">
<h2 style="text-align: center; padding-top: 50px">How to obtain Data and Model for <br><em>Absolute Visual Re-localization</em>?</h2>
</div>
<!-- service -->
<div class="col-md-4 col-sm-6">
<div class="service smoothscroll" href="#datagen">
<div class="service-content service-row-1">
<i class="fa fa-building"></i>
<h3>TOPO-DataGen</h3>
<p>Synthetic training data generation workflow utilizing open source 3D topography models.</p>
<a href="#datagen">Workflow</a>
</div>
</div>
</div>
<!-- /service -->
<!-- service -->
<div class="col-md-4 col-sm-6">
<div class="service smoothscroll" href="#datasets">
<div class="service-content service-row-1">
<i class="fa fa-database"></i>
<h3>Datasets</h3>
<p>The CrossLoc datasets include 50K+ annotated images for sim-to-real aerial localization.</p>
<a href="#models">Preview and download</a>
</div>
</div>
</div>
<!-- /service -->
<!-- service -->
<div class="col-md-4 col-sm-6">
<div class="service smoothscroll" href="#crossloc">
<div class="service-content service-row-1" style="padding-bottom: 0px">
<i class="fa fa-gitlab"></i>
<h3>CrossLoc</h3>
<p>Real-data efficient absolute visual re-localization algorithm through cross-modal representation learning.
</p>
<a href="#crossloc" style="margin-bottom: 0px">Explore</a>
</div>
</div>
</div>
<!-- /service -->
</div>
<!-- /Row -->
</div>
<!-- /Container -->
</div>
<!-- /Teaser -->
<!-- Abstract -->
<div id="abstract" class="section sm-padding">
<!-- Container -->
<div class="container">
<!-- Row -->
<div class="row">
<!-- Section header -->
<div class="section-header text-center">
<h2 class="title">Abstract</h2>
We present a visual localization system that learns to
<strong><u>estimate camera poses in the real world with the help of synthetic data</u></strong>.
</div>
<br>
<div class="cvpr-container text-center">
<iframe class="cvpr-oral" src="https://www.youtube.com/embed/pytRRXPFqFE" frameBorder="0" allow="autoplay; encrypted-media" allowfullscreen style="text-align: center"></iframe>
</div>
<br>
Despite significant progress in recent years, most learning-based approaches to visual localization target at a single domain and require a dense database of geo-tagged images to function well.
To mitigate the data scarcity issue and improve the scalability of the neural localization models, we introduce <u><strong>TOPO-DataGen</strong></u>, a versatile synthetic data generation tool that traverses smoothly between the real and virtual world, hinged on the geographic camera viewpoint.
New large-scale <u><strong>sim-to-real benchmark datasets</strong></u> are proposed to showcase and evaluate the utility of the said synthetic data.
Our experiments reveal that synthetic data generically enhances the neural network performance on real data.
Furthermore, we introduce <u><strong>CrossLoc</strong></u>, a cross-modal visual representation learning approach to pose estimation that makes full use of the scene coordinate ground truth via self-supervision.
Without any extra data, CrossLoc significantly outperforms the state-of-the-art methods and achieves substantially higher real-data sample efficiency.
</div>
<!-- /Row -->
</div>
<!-- /Container -->
</div>
<!-- /Summary -->
<!-- TOPO-DataGen -->
<div id="datagen" class="section sm-padding">
<!-- Container -->
<div class="container">
<!-- Row -->
<div class="row">
<!-- Section header -->
<div class="section-header text-center">
<h2 class="title">TOPO-DataGen</h2>
An open-source multimodal synthetic data generation tool tailored to aerial scenes.
</div>
<div class="figure" style="text-align:center;margin-top: 0px">
<img width=60% src="img_crossloc/TOPO-datagen.png">
</div>
It takes common geo-data as inputs and outputs diverse synthetic visual data such as 2D image-3D geometry-semantics-camera pose.
The rendering engine is developed upon <a href="https://cesium.com/platform/cesiumjs/">CesiumJS</a>.
See the <a href="https://github.com/TOPO-EPFL/TOPO-DataGen">TOPO-DataGen code</a> for details and
feel free to try the <a href="https://github.com/TOPO-EPFL/TOPO-DataGen#get-started">demo</a> to generate synthetic data in Genève.
<!-- /Section header -->
<div class="abstract-body col-md-12">
<!-- Section header -->
<div class='row'>
<br>
<div class="col-sm-4">
<p>
<strong>TOPO-DataGen is generically useful for enhancing aerial visual localization networks.</strong>
The proposed data generation workflow outputs both 2D RGB images and the associated 3D labels such as the pixel-wise
scene coordinates.
It has the following advantages:
<br>
<i class="fa fa-thumbs-o-up" style="font-size: 1.50em; text-align: left"></i>
Obtaining dense and accurate <strong>2D-3D correspondences</strong> without much engineering efforts, unlike the structure-from-motion.
<br>
<i class="fa fa-thumbs-o-up" style="font-size: 1.50em; text-align: left"></i>
Seamless <strong>traversing between the real and virtual world</strong> hinged on the camera viewpoint.
<br>
<i class="fa fa-thumbs-o-up" style="font-size: 1.50em; text-align: left"></i>
Work for both <strong>image-based methods</strong> such as absolute pose regression and <strong>structure-based methods</strong> that require 3D labels.
</p>
</div>
<div class="col-sm-8">
<p>
<img width="100%" src="./img_crossloc/topo-datagen_output_sample.png" alt="" class="center">
</p>
</div>
<div class="col-sm-12">
The TOPO-DataGen workflow can be used to improve the training of most visual localization networks,
including both the image-based methods (by cross-domain data augmentation) and the structure-based methods (by multi-modal visual data and cross-modal representations).
</div>
</div>
</p>
</div>
</div>
</div>
<!-- /Row -->
</div>
<!-- /Container -->
</div>
<!-- CrossLoc Benchmark Datasets -->
<div id="datasets" class="section sm-padding">
<!-- Container -->
<div class="container">
<!-- Row -->
<div class="row">
<!-- Section header -->
<div class="section-header text-center">
<h2 class="title">CrossLoc Benchmark Datasets</h2>
large-scale benchmark datasets for sim-to-real visual localization,<br>
including synthetic and real images with 3D and semantic labels on urban and natural sites.
</div>
<br>
<!-- Row -->
<!-- service-static -->
<div class="col-md-3 col-sm-6">
<div class="service-static">
<div class="service-content">
<i class="fa fa-paint-brush" style="font-size: 2.73em; text-align: center"></i>
<div class="number">
<h2 class="value">50k+</h2>
</div>
<h3>Synthetic Images</h3>
</div>
</div>
</div>
<!-- /service-static -->
<!-- service-static -->
<div class="col-md-3 col-sm-6">
<div class="service-static">
<div class="service-content">
<i class="fa fa-camera" style="font-size: 2.73em; text-align: center"></i>
<div class="number">
<h2 class="value">7k+</h2>
</div>
<h3>Real Images</h3>
</div>
</div>
</div>
<!-- /service-static -->
<!-- service-static -->
<div class="col-md-3 col-sm-6">
<div class="service-static">
<div class="service-content">
<i class="fa fa-area-chart" style="font-size: 2.73em; text-align: center"></i>
<div class="number">
<h2 class="value">270</h2>
</div>
<h3>Hectares</h3>
</div>
</div>
</div>
<!-- /service-static -->
<!-- service-static -->
<div class="col-md-3 col-sm-6">
<div class="service-static">
<div class="service-content">
<i class="fa fa-cogs" style="font-size: 2.73em; text-align: center"></i>
<div class="number">
<h2 class="value">6+</h2>
</div>
<h3>Modalities</h3>
</div>
</div>
</div>
<!-- /service-static -->
</div>
<!-- /Row -->
We introduce two large-scale sim-to-real benchmark datasets to exemplify the utility of the <strong><u>TOPO-DataGen</u></strong>.
Please visit the <a href="https://doi.org/10.5061/dryad.mgqnk991c">CrossLoc Benchmark Datasets</a> page hosted by Drayd for download.
See the <a href="https://github.com/TOPO-EPFL/CrossLoc-Benchmark-Datasets">GitHub repo</a> for other dataset details and how to setup.
<br>
<i class="fa fa-check-circle-o" style="font-size: 1.50em; text-align: left"></i>
All 7k+ real images are <strong>accurately geo-referenced</strong> using a professional drone, numerous ground control points, and a GNSS base.
<br>
<i class="fa fa-check-circle-o" style="font-size: 1.50em; text-align: left"></i>
All real images have matching synthetic RGB images with a validated positioning accuracy at <strong>cm-level</strong>.
<br>
<i class="fa fa-check-circle-o" style="font-size: 1.50em; text-align: left"></i>
Most generated 3D labels have a reprojection error of no more than <strong>2 pixels</strong>.
<br>
<i class="fa fa-check-circle-o" style="font-size: 1.50em; text-align: left"></i>
All synthetic data is created using the <strong>fully open-sourced geo-data</strong> from the Swiss government <a href="https://www.swisstopo.admin.ch/en/geodata.html">swisstopo</a>.
The semantic maps are also generated.
<br>
<i class="fa fa-check-circle-o" style="font-size: 1.50em; text-align: left"></i>
Carefully calibrated camera intrinsic parameters and the 6D camera poses are provided.
</div>
<div class="figure" style="text-align:center;">
<h4 class="">(Note: quality may be compromised due to GIF compression)</h4>
<img width=50% src="img_crossloc/urbanscape_sample.gif">
</div>
<!-- /Row -->
</div>
<!-- /Container -->
</div>
<!-- CrossLoc localization -->
<div id="crossloc" class="section sm-padding">
<!-- Container -->
<div class="container">
<!-- Row -->
<div class="row">
<!-- Section header -->
<div class="section-header text-center">
<h2 class="title">CrossLoc localization</h2>
A cross-modal visual representation learning method via self-supervision for absolute localization.
</div>
<img width="100%" src="img_crossloc/CrossLoc.gif">
<br>
<br>
The CrossLoc learns to localize the query image by predicting its scene coordinates using a set of cross-modal encoders, followed by camera pose estimation using a PnP solver.
Similar to self-supervised learning, it leverages data structure to create additional supervisory signals to enhance learning.
Specifically, it makes use of the <em>coordinate-depth-normal geometric hierarchy</em> for self-supervision:
from the 3D scene coordinate labels, one could compute accurate 6D camera pose and subsequently compute
the depth and surface normals <em>without any external labels</em>.
It's observed that the tasks of coordinate-depth-normal regression are geometrically highly related. The aggregated cross-modal representations
could be used to enhance the final task of coordinate regression.
<br>
<br>
<img width="100%" src="img_crossloc/trajectory.gif">
<br>
<br>
See the <a href="https://github.com/TOPO-EPFL/CrossLoc">CrossLoc localization code</a> for training code, pretrained models, and baseline implementations.
<br>
<br>
</div>
</div>
<!-- /Row -->
</div>
<!-- /Container -->
</div>
<!-- Paper -->
<div id="paper" class="section sm-padding bg-grey">
<!-- Container -->
<div class="container">
<!-- Row -->
<div class="row">
<!-- Section header -->
<div class="col-sm-12">
<div class="section-header text-center">
<h2 class="title">Paper</h2>
</div>
<div class="row">
<div class="col-sm-4 col-xs-4">
<a href="https://arxiv.org/pdf/2112.09081.pdf">
<img style="width:80%" class="paper-img layered-paper-big" src=./img_crossloc/crossloc-arxiv-2022-page1.png>
</a>
</div>
<div class="col-sm-8 col-xs-8">
<p>CrossLoc: Scalable Aerial Localization Assisted by Multimodal Synthetic Data<br> <b>CVPR 2022</b>
</p>
<div class="bibtex">
<button class="outline-btn" onclick="window.location.href='https://arxiv.org/pdf/2112.09081.pdf'"><p>arXiv<p></button>
<button class="outline-btn" onclick="window.location.href='https://doi.org/10.5061/dryad.mgqnk991c'"><p>datasets<p></button>
<br> <br>
GitHub repositories:
<br>
<button class="outline-btn" onclick="window.location.href='https://github.com/TOPO-EPFL/CrossLoc'"><p>General CrossLoc<p></button>
<button class="outline-btn" onclick="window.location.href='https://github.com/TOPO-EPFL/TOPO-DataGen'"><p>TOPO-DataGen<p></button>
<button class="outline-btn" onclick="window.location.href='https://github.com/TOPO-EPFL/CrossLoc-Benchmark-Datasets'"><p>Benchmark Datasets<p></button>
<br> <br>
Baseline implementation:
<br>
<button class="outline-btn" onclick="window.location.href='https://github.com/TOPO-EPFL/DDLoc'"><p>DDLoc<p></button>
</div>
<br>
<p>CVPR Camera Ready</p>
<div class="bibtex">
<button class="outline-btn" onclick="window.location.href='https://openaccess.thecvf.com/content/CVPR2022/html/Yan_CrossLoc_Scalable_Aerial_Localization_Assisted_by_Multimodal_Synthetic_Data_CVPR_2022_paper.html'"><p>CVPR 2022<p></button>
</div>
</div>
<!--<button class="outline-btn" onclick="window.location.href='https://storage.googleapis.com/taskonomy_slides/taskonomy_slides.html'"><p>Slides<p></button>-->
</div>
</div>
<div class="col-sm-12">
<br> <br>
<div class="bibtex text-center">
<h2 class="title">BibTex</h2>
</div>
<div class="col text-left">
<pre><code>@article{yan2021crossloc,
title={CrossLoc: Scalable Aerial Localization Assisted by Multimodal Synthetic Data},
author={Yan, Qi and Zheng, Jianhao and Reding, Simon and Li, Shanci and Doytchinov, Iordan},
journal={arXiv preprint arXiv:2112.09081},
year={2021}
}</code></pre>
<div class="col text-left">
<pre><code>@misc{iordan2022crossloc,
title={CrossLoc Benchmark Datasets},
author={Doytchinov, Iordan and Yan, Qi and Zheng, Jianhao and Reding, Simon and Li, Shanci},
publisher={Dryad},
doi={10.5061/DRYAD.MGQNK991C},
url={http://datadryad.org/stash/dataset/doi:10.5061/dryad.mgqnk991c},
year={2022}
}</code></pre>
</div>
</div>
</div>
</div>
<!-- /Row -->
</div>
<!-- /Container -->
</div>
<div id="team" class="section md-padding">
<!-- Container -->
<div class="container">
<!-- Row -->
<div class="row">
<!-- Section header -->
<div class="section-header text-center">
<h2 class="title">Team</h2>
</div>
<!-- /Section header -->
<!-- team -->
<div class="col-sm-4">
<div class="team">
<div class="team-img">
<img class="img-responsive" src="img_crossloc/people/qi.png" alt="">
<div class="overlay">
<div class="team-social">
<a href="https://qiyan98.github.io/"><i class="fa fa-globe"></i></a>
<a href="https://scholar.google.com/citations?hl=en&user=rIUE-FoAAAAJ"><i class="ai ai-google-scholar big-icon"></i></a>
<a href="https://github.com/qiyan98"><i class="fa fa-github"></i></a>
</div>
</div>
</div>
<div class="team-content">
<h3>Qi Yan</h3>
<span>EPFL</span>
</div>
</div>
</div>
<!-- /team -->
<!-- team -->
<div class="col-sm-4">
<div class="team">
<div class="team-img">
<img class="img-responsive" src="img_crossloc/people/jianhao.jpg" alt="">
<div class="overlay">
<div class="team-social">
<a href="https://jianhao-zheng.github.io/"><i class="fa fa-globe"></i></a>
<a href="https://github.com/Jianhao-zheng"><i class="fa fa-github"></i></a>
</div>
</div>
</div>
<div class="team-content">
<h3>Jianhao Zheng</h3>
<span>EPFL</span>
</div>
</div>
</div>
<!-- /team -->
<!-- team -->
<div class="col-sm-4">
<div class="team">
<div class="team-img">
<img class="img-responsive" src="img_crossloc/people/simon.jpeg" alt="">
<div class="overlay">
<div class="team-social">
<a href="https://github.com/sreding"><i class="fa fa-github"></i></a>
</div>
</div>
</div>
<div class="team-content">
<h3>Simon Reding</h3>
<span>EPFL</span>
</div>
</div>
</div>
<!-- /team -->
</div>
<!-- Row -->
<div class="row">
<!-- team -->
<div class="col-sm-4">
<div class="team">
<div class="team-img">
<img class="img-responsive" src="img_crossloc/people/shanci.jpg" alt="">
<div class="overlay">
<div class="team-social">
<a href="https://github.com/Shanci-Li"><i class="fa fa-github"></i></a>
</div>
</div>
</div>
<div class="team-content">
<h3>Shanci Li</h3>
<span>EPFL</span>
</div>
</div>
</div>
<!-- /team -->
<!-- team -->
<div class="col-sm-4">
<div class="team">
<div class="team-img">
<img class="img-responsive" src="img_crossloc/people/iordan.jpeg" alt="">
<div class="overlay">
<div class="team-social">
<a href="https://www.linkedin.com/in/iordan-doytchinov-21b18045/?originalSubdomain=ch"><i class="fa fa-linkedin"></i></a>
<a href="https://github.com/IDoytchinov"><i class="fa fa-github"></i></a>
</div>
</div>
</div>
<div class="team-content">
<h3>Iordan Doytchinov</h3>
<span>EPFL</span>
</div>
</div>
</div>
<!-- /team -->
</div>
<br><br>
<div class="section-header text-center">
<h2>Partner</h2>
</div>
<div class="text-center">
<a href="https://www.ar.admin.ch/en/home.html"><img style="width: 80%" src="img_crossloc/armaswiss.jpg"></a>
</div>
</div>
<!-- /Container -->
</div>
<!-- /Team -->
<!-- Footer -->
<footer id="footer" class="sm-padding bg-dark">
<!-- Container -->
<div class="container">
<!-- Row -->
<div class="row">
<div class="col-md-12">
<div class="footer-copyright">
<p>Copyright © 2022. Swiss Federal Institute of Technology (EPFL). All Rights Reserved.</p>
<p>The template of the website template is borrowed from <a href='https://github.com/EPFL-VILAB/project_website_template'>here</a>.</p>
</div>
<!-- /footer copyright -->
</div>
</div>
<!-- /Row -->
</div>
<!-- /Container -->
</footer>
<!-- /Footer -->
<!-- Back to top -->
<div id="back-to-top"></div>
<!-- /Back to top -->
<!-- Preloader -->
<!-- <div id="preloader">
<div class="preloader">
<span></span>
<span></span>
<span></span>
<span></span>
</div>
</div> -->
<!-- /Preloader -->
<!-- jQuery Plugins -->
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.2.1/jquery.min.js"></script>
<script src="js/plugins.js"></script>
<script src="https://maxcdn.bootstrapcdn.com/bootstrap/4.5.0/js/bootstrap.min.js"></script>
<script src="js/waypoints.min.js"></script>
<script src="js/jquery.counterup.min.js"></script>
<!-- <script type="text/javascript" src="js/jquery.min.js"></script> -->
<!-- <script type="text/javascript" src="js/bootstrap.min.js"></script> -->
<script type="text/javascript" src="js/owl.carousel.min.js"></script>
<script type="text/javascript" src="js/jquery.magnific-popup.js"></script>
<script type="text/javascript" src="js/main.js"></script>
<script src="js/index.js"></script>
<script src="js/particles.js"></script>
<script src="js/app.js"></script>
<!-- Start of counter Code -->
<!--you can put some website tracker/counter code (eg Statcounter, Google Analytics) here if you're interested in tracking the activity on your website. -->
<!-- End of counter Code -->
</body>
</html>