-
Notifications
You must be signed in to change notification settings - Fork 0
/
index.html
310 lines (271 loc) · 14 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
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<!-- Meta tags for social media banners, these should be filled in appropriatly as they are your "business card" -->
<!-- Replace the content tag with appropriate information -->
<meta name="description" content="SSl4EO">
<meta property="og:title" content="SSl4EO"/>
<meta property="og:description" content="SSL4EO: Self-Supervised Learning for Earth Observation"/>
<meta property="og:url" content=""/>
<!-- Path to banner image, should be in the path listed below. Optimal dimenssions are 1200X630-->
<meta property="og:image" content="static/images/faelles.svg" />
<meta property="og:image:width" content="1200"/>
<meta property="og:image:height" content="630"/>
<meta name="twitter:title" content="ssl4eo">
<meta name="twitter:description" content="SSL4EO: Self-Supervised Learning for Earth Observation">
<!-- Path to banner image, should be in the path listed below. Optimal dimenssions are 1200X600-->
<meta name="twitter:image" content="static/images/your_twitter_banner_image.png">
<meta name="twitter:card" content="summary_large_image">
<!-- Keywords for your paper to be indexed by-->
<meta name="keywords" content="Self-supervised Learning, Machine Learning, Earth Observation, Remote Sensing">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>SSL4EO: Self-Supervised Learning for Earth Observation</title>
<link rel="icon" type="image/x-icon" href="static/images/faelles.svg">
<link href="https://fonts.googleapis.com/css?family=Google+Sans|Noto+Sans|Castoro"
rel="stylesheet">
<link rel="stylesheet" href="static/css/bulma.min.css">
<link rel="stylesheet" href="static/css/bulma-carousel.min.css">
<link rel="stylesheet" href="static/css/bulma-slider.min.css">
<link rel="stylesheet" href="static/css/fontawesome.all.min.css">
<link rel="stylesheet"
href="https://cdn.jsdelivr.net/gh/jpswalsh/academicons@1/css/academicons.min.css">
<link rel="stylesheet" href="static/css/index.css">
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.5.1/jquery.min.js"></script>
<script src="https://documentcloud.adobe.com/view-sdk/main.js"></script>
<script defer src="static/js/fontawesome.all.min.js"></script>
<script src="static/js/bulma-carousel.min.js"></script>
<script src="static/js/bulma-slider.min.js"></script>
<script src="static/js/index.js"></script>
</head>
<body>
<section class="hero">
<div class="hero-body">
<div class="container is-max-desktop">
<div class="columns is-centered">
<div class="column has-text-centered">
<h1 class="title is-1 publication-title">SSL4EO: Self-Supervised Learning for Earth Observation</h1>
<div class="is-size-5 publication-authors">
<span class="author-block"> July 01-05, 2024 </span>
</div>
<div class="is-size-5 publication-authors">
<span class="author-block">Copenhagen, Denmark</span>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</section>
<section class="hero">
<div class="columns is-centered has-text-centered" style="background-image: url('https://neo.gsfc.nasa.gov/servlet/RenderData?si=1948120&cs=rgb&format=JPEG&width=720&height=360'); background-position: center; position: relative; background-size: cover;">
<div style="height: 200px;"></div>
</div>
<div class="columns is-centered has-text-centered">
<a href="https://neo.gsfc.nasa.gov/servlet/RenderData?si=1948120&cs=rgb&format=JPEG&width=720&height=360">NASA Earth Observatory CC BY-SA 2.5</a>
</div>
</section>
<!-- Paper abstract -->
<section class="section hero is-light">
<div class="container is-max-desktop">
<div class="columns is-centered has-text-centered">
<div class="column is-four-fifths">
<h2 class="title is-3">Welcome</h2>
<div class="content has-text-justified">
<p>🌍🌍 Welcome to the PhD course <b>SSL4EO: Self-Supervised Learning for Earth Observation! 🌍🌍</b></p>
<p> Are you passionate about Earth observation? Eager to explore cutting-edge techniques in self-supervised learning?
Look no further! Our specialized course will equip you with an overview of existing SSL techniques before we discuss the specific characteristics of Earth observation data that provide both challenges and opportunities in SSL.</p>
</div>
</div>
</div>
</div>
</section>
<!-- End paper abstract -->
<section class="hero is-small">
<div class="hero-body">
<div class="container">
<h2 class="title">Course Overview</h2>
<ul class="ml-3">
<li><strong>Dates:</strong> <b>July 01 - 05, 2024</b> </li>
<li><strong>Location:</strong> <b><a href="https://maps.app.goo.gl/yntNFf7eMHzQBm9SA"> Festsalen, Øster Voldgade 10, 1350 Copenhagen, Denmark </a> </b> </li>
</ul>
</div>
</div>
<div class="hero-body">
<div class="container">
<p><strong>Why Attend?</strong>
<ul class="ml-3">
<li>Get an overview of self-supervised learning (SSL) methods.</li>
<li>Discuss challenges and opportunities for SSL tailored for Earth observation data.</li>
<li>Collaborate with fellow PhD students and build a strong network within the community.</li>
<li>Gain hands-on experience through practical projects.</li>
</ul>
</p>
</div>
</div>
<div class="hero-body">
<div class="container">
<p><strong>Who Should Attend?</strong>
<ul class="ml-3">
<li>PhD students in computer science, remote sensing, geospatial sciences, or related fields.</li>
<li>Researchers and practitioners interested in leveraging self-supervised learning for Earth observation tasks.</li>
</ul>
</p>
<br>
<p><strong>Course Requirements</strong>
<ul class="ml-3">
<li>Knowledge of basic Deep Learning concepts (e.g., supervised learning).</li>
<li>Experience with Pytorch (highly recommended).</li>
</ul>
</p>
<br>
<li><strong>Registration: <a href="https://eventsignup.ku.dk/ssl4eo/signup"> https://eventsignup.ku.dk/ssl4eo/signup </a></strong></li>
<li><strong>Registration Fee:</strong> The course registration fee in 1600 DKK. (This covers coffee breaks, social activities, and two group dinners.)</li>
<li><strong>Credit points:</strong> PhD students will be able to earn 2.5 ECTS for the course which is registered at the University of Copenhagen.</li>
<li><strong>Questions?:</strong> Contact us at <a href="mailto:stefan.oehmcke@di.ku.dk"> {stefan.oehmcke, nila, ak}@di.ku.dk</a></li>
</ul>
</div>
</div>
</section>
<!--<section class="section">-->
<!-- <div class="container hero-body">-->
<!-- <div class="columns is-centered">-->
<!-- <iframe width="640px" height="480px" src="https://forms.office.com/e/GpURUJuy2J?embed=true" frameborder="0" marginwidth="0" marginheight="0" style="border: none; max-width:100%; max-height:100vh" allowfullscreen webkitallowfullscreen mozallowfullscreen msallowfullscreen> </iframe>-->
<!-- </div>-->
<!-- </div>-->
<!--</section>-->
<section class="section">
<div class="container">
<h2 class="title">Speakers</h2>
<ul>
<li><a href="https://randallbalestriero.github.io/"> Randall Balestriero, META AI </a></li>
<li><a href="https://marcrusswurm.com/"> Marc Russwurm, Wageningen University</a></li>
<li><a href="https://konstantinklemmer.github.io/"> Konstantin Klemmer, Microsoft Research</a></li>
<li><a href="https://brunosan.eu/"> Bruno Sánchez-Andrade Nuño, Clay</a></li>
<li><a href="https://www.astro.uzh.ch/en/research/research-groups/Jan-Dirk-Wegner.html"> Jan Dirk Wegner, University of Zurich </a></li>
<li><a href="https://ieeexplore.ieee.org/author/37086067170">Zhitong Xiong, Technical University of Munich</a></li>
<li><a href="https://www.professoren.tum.de/en/zhu-xiaoxiang">Xiaoxiang Zhu, Technical University of Munich</a></li>
<li><a href="https://linkedin.com/in/puzhao-zhang-a672b5183 ">Puzhao Zhang, DHI</a></li>
</ul>
</div>
</section>
<section class="section">
<div class="container">
<h2 class="title">Program</h2>
<ul>
<li>Start: Monday, July 01, 09:00</li>
<li>End: Friday, July 05, 13:00</li>
</ul>
<br>
</div>
<div class="container">
<p><strong>Topics covered</strong></p>
<ul>
<li>Introduction and overview of Self-Supervised Learning</li>
<li> Families of SSL approaches </li>
<li>Challenges in SSL</li>
<li>Opportunities for SSL in Earth Observations</li>
<li>Task-specific SSL</li>
<li>Geographic location encoding</li>
<li>Cross-modal representation learning</li>
</ul>
</div>
<div class="container">
<br>
<p><strong>Tentative schedule</strong></p>
<iframe width='100%' height='680' src="https://docs.google.com/spreadsheets/d/e/2PACX-1vSHgPiX6hquHVkii73zW-f4z1Asrgz58J_YiR-TtrC2QjLUuDzslkafMPW1yWZXQ17125HuNsKatAxq/pubhtml?gid=979486439&single=true&widget=true&headers=false"></iframe>
</div>
</section>
<section class="hero is-small">
<div class="hero-body">
<div class="container">
<h2 class="title">Poster session</h2>
<ul class="ml-3">
<li> <strong> We are planning a pre-ICML/post-CVPR meetup in collaboration with <a href="https://www.aicentre.dk/collaboratories/learning-theory-and-optimisation">P1/LO-collab</a>.</strong></li>
<li> When: July 03, Wednesday, 16:00 - 18:00 </li>
<li> Food: There will be food and beverages!</li>
<li> Register: Please sign up if you’d like to present: <a href="https://forms.gle/P8Kdt69WPZ4TPQFZA"> https://forms.gle/P8Kdt69WPZ4TPQFZA </a> </li>
<li> Print: We are happy to support you with printing the posters on-site. Please contact the organizers. </li>
</ul>
</div>
</div>
</section>
<section class="hero is-small">
<div class="hero-body">
<div class="container">
<h2 class="title">Organizers</h2>
<ul>
<li> <a href="https://di.ku.dk/english/staff/?pure=en/persons/641966"> Stefan Oehmcke, University of Copenhagen </a> <a href="mailto:stefan.oehmcke@di.ku.dk"> ✉ </a> </li>
<li> <a href="https://langnico.github.io/"> Nico Lang, University of Copenhagen </a> <a href="mailto:nila@di.ku.dk"> ✉ </a> </li>
<li> <a href="https://ankitkariryaa.github.io/"> Ankit Kariryaa, University of Copenhagen </a> <a href="mailto:ak@di.ku.dk"> ✉ </a> </li>
<li> <a href="https://christian-igel.github.io/"> Christian Igel, University of Copenhagen </a> <a href="mailto:igel@diku.dk"> ✉ </a> </li>
<li> <a href="https://ign.ku.dk/english/research/geography/terrestrial-ecosystem-analysis/?pure=en/persons/24386"> Rasmus Fensholt, University of Copenhagen </a> <a href="mailto:rf@ign.ku.dk"> ✉ </a> </li>
</ul>
</div>
</div>
</section>
<section class="hero is-small">
<div class="hero-body">
<div class="container">
<h2 class="title">Resources</h2>
<ul>
<li> <a href="https://docs.google.com/presentation/d/1bWEyEoCFiMw46PcZGJK_KozlBfhAFidslUH-3NaX9Bw/edit?usp=sharing"> Intro Slides</a> </li>
<li> <a href="https://github.com/StefOe/SSL4EO_base"> Github Repo</a> </li>
</ul>
</div>
</div>
</section>
<!-- <!– Image carousel –>-->
<!--<section class="hero is-small">-->
<!-- <div class="hero-body">-->
<!-- <div class="container">-->
<!-- <div id="results-carousel" class="carousel results-carousel has-text-centered">-->
<!-- <div class="item">-->
<!-- <!– Your image here –>-->
<!-- <img src="static/images/2018_-_Nyhavn_on_sunset.jpg" alt="Nyhavn on sunset" width="500"/>-->
<!-- <h2 class="subtitle has-text-centered">-->
<!-- Nyhavn on sunset. Photo by <a href="https://commons.wikimedia.org/wiki/File:2018_-_Nyhavn_on_sunset.jpg">Moahim on Wikimedia Commons.</a>-->
<!-- </h2>-->
<!-- </div>-->
<!-- <div class="item">-->
<!-- <!– Your image here –>-->
<!-- <img src="static/images/PhDCourseImage2.jpeg" alt="Self-supervised Learning for Earth Observation" width="300"/>-->
<!-- <h2 class="subtitle has-text-centered">-->
<!-- DALL·E 3 interpretation of Self-supervised Learning for Earth Observation-->
<!-- </h2>-->
<!-- </div>-->
<!-- </div>-->
<!--</div>-->
<!--</div>-->
<!--</section>-->
<section class="section">
<div class="container">
<h2 class="title">Supported by</h2>
<ul>
<li> <a href="https://ku.dk/english"> University of Copenhagen </a> </li>
<li> <a href="https://www.deic.dk/en"> Danish e-infrastructure Consortium (DeiC) </a> </li>
<li> <a href="https://www.aicentre.dk/"> Pioneer Centre for AI </a> </li>
</ul>
</div>
</section>
<footer class="footer">
<div class="container">
<div class="columns is-centered">
<div class="column is-8">
<div class="content">
<p>
This page was built using the <a href="https://github.com/eliahuhorwitz/Academic-project-page-template" target="_blank">Academic Project Page Template</a> which was adopted from the <a href="https://nerfies.github.io" target="_blank">Nerfies</a> project page.
You are free to borrow the of this website, we just ask that you link back to this page in the footer. <br> This website is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by-sa/4.0/" target="_blank">Creative
Commons Attribution-ShareAlike 4.0 International License</a>.
</p>
</div>
</div>
</div>
</div>
</footer>
<!-- Statcounter tracking code -->
<!-- You can add a tracker to track page visits by creating an account at statcounter.com -->
<!-- End of Statcounter Code -->
</body>
</html>