-
Notifications
You must be signed in to change notification settings - Fork 0
/
index.html
263 lines (232 loc) · 14.3 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
<!DOCTYPE HTML>
<html lang="en"><head>
<!-- Google tag (gtag.js) -->
<script async src="https://www.googletagmanager.com/gtag/js?id=G-95G63QKJR0"></script>
<script>
window.dataLayer = window.dataLayer || [];
function gtag(){dataLayer.push(arguments);}
gtag('js', new Date());
gtag('config', 'G-95G63QKJR0');
</script>
<script>
// Function to calculate distance between two points
function getDistance(x1, y1, x2, y2) {
return Math.sqrt((x2 - x1) ** 2 + (y2 - y1) ** 2);
}
// Update images based on distance from the mouse
function updateImages(event) {
document.querySelectorAll('.hoverGif').forEach(imgElement => {
const imgRect = imgElement.getBoundingClientRect();
const imgCenterX = imgRect.left + imgRect.width / 2;
const imgCenterY = imgRect.top + imgRect.height / 2;
const distance = getDistance(imgCenterX, imgCenterY, event.clientX, event.clientY);
const threshold = 200; // pixels
if (distance < threshold) {
imgElement.src = imgElement.dataset.animated; // Play GIF if mouse is close
} else {
imgElement.src = imgElement.dataset.static; // Show static image if mouse is far
}
});
}
// Listen for mouse movement
document.addEventListener('mousemove', updateImages);
</script>
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<title>Oliver Hahn</title>
<meta name="author" content="Oliver Hahn">
<meta name="keywords" content="Oliver Hahn, Computer Vision, Machine Learning, Computer Science, TU Darmstadt, Technische
Universität Darmstadt">
<meta name="viewport" content="width=device-width, initial-scale=1">
<link rel="stylesheet" type="text/css" href="style.css">
<link rel="icon" type="image/png" href="images/img_oliverhahn.png">
</head>
<body>
<table style="width:100%;max-width:800px;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
<tr style="padding:0px">
<td style="padding:0px">
<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
<tr style="padding:0px">
<td style="padding:10px;width:63%;vertical-align:middle">
<p style="text-align:center">
<name>Oliver Hahn</name>
</p>
<p> I am a PhD student in computer vision at the <a href="https://www.visinf.tu-darmstadt.de/visinf/news/vi_news_1.en.jsp">Visual Inference Lab</a> in <a href="https://www.tu-darmstadt.de">Technical University of
Darmstadt</a>. Supervised by <a href="https://www.visinf.tu-darmstadt.de/visual_inference/people_vi/stefan_roth.en.jsp">Prof. Stefan Roth</a> my research focuses on unsupervised visual scene understanding.</p>
<p> I received a master's degree in Computational Engineering with a focus on deep learning and computer vision. At the <a href="https://www.visinf.tu-darmstadt.de/visinf/news/vi_news_1.en.jsp">Visual Inference
Lab</a> I conducted research on multimodal learning as well as on semantic scene understanding with limited supervision, advised by <a href="https://s-mahajan.github.io/">Shweta Mahajan</a>, <a href="https://arnike.github.io/">Nikita Araslanov</a> and <a href="https://www.visinf.tu-darmstadt.de/visual_inference/people_vi/stefan_roth.en.jsp">Prof. Stefan Roth</a>. Previously, I obtained a master's degree in Mechanical Engineering from TU Darmstadt.</p><br>
<!-- My research on multi-objective optimization of electrical -->
<!-- machines resulted in a patented new type of linear actuator. -->
<p style="text-align:center">
<a href="mailto:olvrhhn@gmail.de"><b>Email</b></a>  | 
<a href="files/oh_cv.pdf"><b>CV</b></a>  | 
<a href="https://twitter.com/olvr_hhn"><b>Twitter</b></a>  | 
<a href="https://scholar.google.com/citations?hl=de&user=MFjlVQIAAAAJ"><b>Google Scholar</b></a>  | 
<a href="https://github.com/olvrhhn"><b>Github</b></a>
</p>
</td>
<td style="padding:2.5%;width:40%;max-width:40%">
<a href="images/img_oliverhahn.png"><img style="width:100%;max-width:100%" alt="profile photo" src="images/img_oliverhahn.png" class="hoverZoomLink"></a>
</td>
</tr>
</tbody></table>
<table style="padding-top:20px;width:100%;border:0px;border-spacing:0px;margin:auto;">
<tbody>
<tr>
<td colspan="3" style="padding:10px;"><heading>News</heading></td>
</tr>
<tr>
<td style="padding-left:10px;color:grey;">Sep</td>
<td style="padding-left:2px;color:grey;">24</td>
<td style="padding-left:10px;">Our paper "<a href="https://arxiv.org/abs/2404.16818">Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals</a>" got accepted at TMLR.</td>
</tr>
<tr>
<td style="padding-left:10px;color:grey;">Jul</td>
<td style="padding-left:2px;color:grey;">24</td>
<td style="padding-left:10px;">I will be attending the International Computer Vision Summer School (ICVSS) 2024!</td>
</tr>
<tr>
<td style="padding-left:10px;color:grey;">Jun</td>
<td style="padding-left:2px;color:grey;">24</td>
<td style="padding-left:10px;">Our paper "<a href="https://arxiv.org/abs/2404.12330">A Perspective on Deep Vision Performance with Standard Image and Video Codecs</a>" won the best student paper award @ AIS Workshop (CVPR 2024).</td>
</tr>
<tr>
<td style="padding-left:10px;color:grey;">Jun</td>
<td style="padding-left:2px;color:grey;">23</td>
<td style="padding-left:10px;">Our paper "Semantic Self-adaptation: Enhancing Generalization with a Single Sample" got accepted at <a href="https://arxiv.org/abs/2208.05788">TMLR.</a></td>
</tr>
<tr>
<td style="padding-left:10px;color:grey;">Jun</td>
<td style="padding-left:2px;color:grey;">22</td>
<td style="padding-left:10px;">I started as a PhD student with <a href="https://www.visinf.tu-darmstadt.de/visual_inference/people_vi/stefan_roth.en.jsp">Prof. Stefan Roth</a> at the <a
href="https://www.visinf.tu-darmstadt.de/visinf/news/vi_news_1.en.jsp">Visual Inference Lab</a> in <a href="https://www.tu-darmstadt.de">Technical University of Darmstadt</a>!</td>
</tr>
</tbody>
</table>
<table style="padding-top:20px;width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
<tr> <td style="padding:10px;width:100%;vertical-align:middle"><heading>Research</heading><td></tr>
<tr> <td style="padding-left:10px">I am interested in machine learning and computer vision, especially unsupervised scene understanding.</td></tr>
<!-- <p>
I am interested in machine learning and computer vision, especially visual scene understanding with limited supervision.
</p> -->
<!-- </td> -->
</tbody></table>
<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
<tr>
<td style="padding:10px;padding-top:20px;width:25%;vertical-align:middle">
<!--<img class="hoverGif" src="images/primaps_static.png" data-static="images/primaps_static.png" data-animated="images/primaps.gif" width="200px" />-->
<img src="images/primaps.gif" width="175px" />
</td>
<td style="padding:10px;width:75%;vertical-align:middle">
<papertitle>Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals </papertitle>
<br>
<a class="small" style="color:black" href="https://olvrhhn.github.io"><b>Oliver Hahn</b></a>,
<a class="small" style="color:black" href="https://arnike.github.io">Nikita Araslanov</a>,
<a class="small" style="color:black" href="https://schaubsi.github.io"> Simone Schaub-Meyer</a>,
<a class="small" style="color:black" href="https://www.visinf.tu-darmstadt.de/visual_inference/people_vi/stefan_roth.en.jsp">Stefan Roth</a>
<br>
<br>
<em><a class="small" style="color:black" href="https://www.jmlr.org/tmlr/papers/">TMLR 2024</a></em>
<br>
<br>
<a href="https://arxiv.org/abs/2404.16818">Paper</a> | <a href="https://visinf.github.io/primaps">Project Page</a> | <a
href="https://github.com/visinf/primaps">Code</a>
<br>
</td>
</tr>
<tr>
<td style="padding:10px;padding-top:20px;width:25%;vertical-align:middle">
<!--<img class="hoverGif" src="images/primaps_static.png" data-static="images/primaps_static.png" data-animated="images/primaps.gif" width="200px" />-->
<img src="images/codec.gif" width="175px" />
</td>
<td style="padding:10px;width:75%;vertical-align:middle">
<papertitle>A Perspective on Deep Vision Performance with Standard Image and Video Codecs</papertitle>
<br>
<a class="small" style="color:black" href="https://christophreich1996.github.io/">Christoph Reich</a>,
<a class="small" style="color:black" href="https://olvrhhn.github.io"><b>Oliver Hahn</b></a>,
<a class="small" style="color:black" href="https://vision.in.tum.de/members/cremers"> Daniel Cremers</a>,
<a class="small" style="color:black" href="https://www.visinf.tu-darmstadt.de/visual_inference/people_vi/stefan_roth.en.jsp">Stefan Roth</a>,
<a class="small" style="color:black" href="https://www.nec-labs.com/research/integrated-systems/people/biplob-debnath/">Biplob Debnath</a>
<br>
<br>
<em><a class="small" style="color:black" href="">CVPRW 2024 (Best Student Paper Award @ AIS Workshop)</a></em>
<br>
<br>
<a href="https://arxiv.org/abs/2404.12330">Paper</a>
<br>
</td>
</tr>
<tr>
<td style="padding:10px;padding-top:20px;width:25%;vertical-align:middle">
<!-- <img class="hoverGif" src="images/self_adapt_static.png" data-static="images/self_adapt_static.png" data-animated="images/self_adapt.gif" width="200px" /> -->
<img src="images/self_adapt.gif" width="175px" />
</td>
<td style="padding:10px;width:75%;vertical-align:middle">
<papertitle>Semantic Self-adaptation: Enhancing Generalization with a Single Sample</papertitle>
<br>
<a class="small" style="color:black" href="https://sherwinbahmani.github.io">Sherwin Bahmani*</a>,
<a class="small" style="color:black" href="https://olvrhhn.github.io"><b>Oliver Hahn*</b></a>,
<a class="small" style="color:black" href="https://eduardzamfir.github.io">Eduard Zamfir*</a>,
<a class="small" style="color:black" href="https://arnike.github.io">Nikita Araslanov</a>,
<a class="small" style="color:black" href="https://vision.in.tum.de/members/cremers"> Daniel Cremers</a>,
<a class="small" style="color:black" href="https://www.visinf.tu-darmstadt.de/visual_inference/people_vi/stefan_roth.en.jsp">Stefan Roth</a>
<br>
<br>
<em><a class="small" style="color:black" href="https://www.jmlr.org/tmlr/papers/">TMLR 2023</a></em>
<br>
<br>
<a href="https://arxiv.org/abs/2208.05788">Paper</a> | <a href="https://www.youtube.com/watch?v=s4DG65ic0EA">Video</a> |
<a
href="https://github.com/visinf/self-adaptive">Code</a>
<br>
</td>
</tr>
<!-- <tr>
<td style="padding:10px;width:25%;vertical-align:middle">
<img src="images/ssa_short.png" width=200px />
</td>
<td style="padding:10px;width:75%;vertical-align:middle">
<papertitle>Semantic Self-adaptation: Enhancing Generalization with a Single Sample (Short Paper)</papertitle>
<br>
<a class="small" style="color:black" href="https://sherwinbahmani.github.io">Sherwin Bahmani*</a>,
<a class="small" style="color:black" href="https://olvrhhn.github.io"><b>Oliver Hahn*</b></a>,
<a class="small" style="color:black" href="https://eduardzamfir.github.io">Eduard Zamfir*</a>,
<a class="small" style="color:black" href="https://arnike.github.io">Nikita Araslanov</a>,
<a class="small" style="color:black" href="https://vision.in.tum.de/members/cremers"> Daniel Cremers</a>
<a class="small" style="color:black" href="https://www.visinf.tu-darmstadt.de/visual_inference/people_vi/stefan_roth.en.jsp">and Stefan Roth</a>
<br>
<br>
<em><a class="small" style="color:black" href="https://www.ood-cv.org">ECCV OOD-CV Workshop</a></em>
<br>
<br>
</td>
</tr> -->
</tbody></table>
<table style="padding-top:20px;width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
<tr>
<td style="padding:10px;width:100%;vertical-align:middle">
<heading>Academic Service</heading>
<p>
<li style="margin: 5px;">
<b>Reviewer:</b> ECCV, CVPR, TMLR
</li>
<li style="margin: 5px;">
<b>Teaching Assistant:</b> Computer Vision I (Fall 2022), Computer Architecture (Spring 2024)
</li>
</p>
</td>
</tr>
</tbody></table>
</tbody></table>
<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
<tr>
<td style="padding:10px;width:100%;vertical-align:bottom">
<br>
<p>Website source code by <a href="http://jonbarron.info">Jon Barron</a>.</p>
</td>
</tr>
</tbody></table>
</td>
</tr>
</table>
</body>
</html>