-
Notifications
You must be signed in to change notification settings - Fork 0
/
index.html
129 lines (122 loc) · 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
<!doctype html>
<html lang="en">
<head>
<!-- Global site tag (gtag.js) - Google Analytics -->
<script async src="https://www.googletagmanager.com/gtag/js?id=G-L2J7GBLDEV"></script>
<script>
window.dataLayer = window.dataLayer || [];
function gtag(){dataLayer.push(arguments);}
gtag('js', new Date());
gtag('config', 'G-L2J7GBLDEV');
</script>
<!-- Required meta tags -->
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
<!-- Bootstrap CSS -->
<link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.3.1/css/bootstrap.min.css" integrity="sha384-ggOyR0iXCbMQv3Xipma34MD+dH/1fQ784/j6cY/iJTQUOhcWr7x9JvoRxT2MZw1T" crossorigin="anonymous">
<script src="https://use.fontawesome.com/d019f1600b.js"></script>
<link href='https://fonts.googleapis.com/css?family=Lora:300,400,700|Roboto:400,300,800,700' rel='stylesheet' type='text/css'>
<link rel="stylesheet" href="style.css">
<title>Junha Roh</title>
<base target="_blank">
</head>
<body>
<div class="all-container">
<div class="profile-container">
<div class="profile-abstract">
<img src="images/profile.jpg" class="rounded-circle profile-image">
<div class="name mt-0">Junha Roh</div>
<div class="tagline mt-0">Software Engineer</div>
<div class="icon mt-1">
<a href="mailto: github.at.junha.io"><i class="fa fa-envelope"></i></a>
<a href="https://www.linkedin.com/in/junha-roh" target="_blank"><i class="fa fa-linkedin"></i></a>
<a href="http://github.com/rohjunha" target="_blank"><i class="fa fa-github"></i></a>
<a href="assets/cv.pdf"><i class="fa fa-file"></i></a>
<a href="https://scholar.google.com/citations?user=kej6PCQAAAAJ"><i class="fa fa-graduation-cap"></i></a>
</div>
</div>
<div class="profile-description">
I am a software engineer at <a href=https://www.thirdwave.ai/>Third Wave Automation</a> making shared autonomy for warehouse forklifts.
Before joining Third Wave Automation, I received my PhD from <a href=https://www.cs.washington.edu></a>Allen School of Computer Science and Engineering</a> at the <a href=https://www.washington.edu>University of Washington</a>, advised by <a href=https://homes.cs.washington.edu/~ali/>Ali Farhadi</a> and <a href=https://homes.cs.washington.edu/~fox/>Dieter Fox</a>, in 2022.
My research focuses on robotics and vision, particularly in vision language navigation and autonomous driving.
Previously, I worked as a researcher at <a href=https://eng.kist.re.kr>Korea Institute of Science and Technology</a>.
I received MS in Electrical Engineering and Computer Science and BS in Electrical and Computer Engineering at <a href=https://www.snu.ac.kr/>Seoul National University</a>, advised by <a href=https://cv.snu.ac.kr/index.php/faculty/>Kyoung Mu Lee</a>.
</div>
</div>
<div class="publication-container">
<div class="publication-header">Publications</div>
<div class="publication-image"><img src="images/corl2021.png" class="paper-image"></div>
<div class="publication-description">
<div class="paper-title mt-0 paper-common">LanguageRefer: Spatial-Language Model for 3D Visual Grounding</div>
<div class="paper-author mt-0 paper-common"><b>Junha Roh</b>, Karthik Desingh, Ali Farhadi, Dieter Fox</div>
<div class="paper-conference mt-0 paper-common">CoRL 2021</div>
<div class="paper-info mt-0 paper-common">
<a href="https://arxiv.org/abs/2107.03438">arxiv</a> |
<a href="https://github.com/rohjunha/language-refer">code</a> |
<a href="https://sites.google.com/view/language-refer">project</a> |
<a href="bib/corl2021.bib">bibtex</a>
</div>
</div>
<div class="publication-image"><img src="images/corl2020.png" class="paper-image"></div>
<div class="publication-description">
<div class="paper-title mt-0 paper-common">Multimodal Trajectory Prediction via Topological Invariance for Navigation at Uncontrolled Intersections</div>
<div class="paper-author mt-0 paper-common"><b>Junha Roh*</b>, Christoforos Mavrogiannis*, Rishabh Madan*, Dieter Fox, Siddhartha S. Srinivasa</div>
<div class="paper-conference mt-0 paper-common">CoRL 2020</div>
<div class="paper-info mt-0 paper-common">
<a href="https://arxiv.org/abs/2011.03894">arxiv</a> |
<a href="https://github.com/rohjunha/multiple-topologies-prediction">code</a> |
<a href="https://sites.google.com/view/multiple-topologies-prediction">project</a> |
<a href="bib/corl2020.bib">bibtex</a>
</div>
</div>
<div class="publication-image"><img src="images/corl2019.png" class="paper-image"></div>
<div class="publication-description">
<div class="paper-title mt-0 paper-common">Conditional Driving from Natural Language Instructions</div>
<div class="paper-author mt-0 paper-common"><b>Junha Roh</b>, Chris Paxton, Andrzej Pronobis, Ali Farhadi, Dieter Fox</div>
<div class="paper-conference mt-0 paper-common">CoRL 2019</div>
<div class="paper-info mt-0 paper-common">
<a href="https://arxiv.org/pdf/1910.07615">arxiv</a> |
<a href="https://github.com/rohjunha/language-grounded-driving">code</a> |
<a href="https://sites.google.com/view/language-grounded-driving">project</a> |
<a href="bib/corl2019.bib">bibtex</a>
</div>
</div>
<div class="publication-image"><img src="images/iscv2014.jpg" class="paper-image-extra"></div>
<div class="publication-description">
<div class="paper-title mt-0 paper-common">A Fast TGV-l1 RGB-D Flow Estimation</div>
<div class="paper-author mt-0 paper-common"><b>Junha Roh</b>, Hwasup Lim, Sang Chul Ahn</div>
<div class="paper-conference mt-0 paper-common">ISCV 2014</div>
<div class="paper-info mt-0 paper-common">
<a href="https://books.google.com/books?id=AcioBQAAQBAJ&pg=PA151&lpg=PA151&dq=A+Fast+TGV-l1+RGB-D+Flow+Estimation&source=bl&ots=aU_iAisyyo&sig=V2xqB7Sp60u8JjNRPOkx-cCF1bM&hl=en&sa=X&ved=0ahUKEwiO5qanw7PRAhVG1GMKHVn-CqUQ6AEIIzAC#v=onepage&q=A%20Fast%20TGV-l1%20RGB-D%20Flow%20Estimation&f=false">paper</a> |
<a href="bib/iscv2014.bib">bibtex</a>
</div>
</div>
<div class="publication-image"><img src="images/eccv2014.png" class="paper-image-extra"></div>
<div class="publication-description">
<div class="paper-title mt-0 paper-common">Robust Visual Tracking with Double Bounding Box Model</div>
<div class="paper-author mt-0 paper-common">Junseok Kwon, <b>Junha Roh</b>, Kyoung Mu Lee, Luc van Gool</div>
<div class="paper-conference mt-0 paper-common">ECCV 2014</div>
<div class="paper-info mt-0 paper-common">
<a href="https://link.springer.com/chapter/10.1007%2F978-3-319-10590-1_25">paper</a> |
<a href="bib/eccv2014.bib">bibtex</a>
</div>
</div>
<div class="publication-image"><img src="images/apsipa2013.jpg" class="paper-image"></div>
<div class="publication-description">
<div class="paper-title mt-0 paper-common">Visual tracking using the joint inference of target state and segment-based appearance models</div>
<div class="paper-author mt-0 paper-common"><b>Junha Roh</b>, Dong Woo Park, Junseok Kwon, Kyoung Mu Lee</div>
<div class="paper-conference mt-0 paper-common">APSIPA 2013</div>
<div class="paper-info mt-0 paper-common">
<a href="https://ieeexplore.ieee.org/document/6694177?reload=true&tp=&arnumber=6694177">paper</a> |
<a href="bib/apsipa2013.bib">bibtex</a>
</div>
</div>
</div>
</div>
<!-- Optional JavaScript -->
<!-- jQuery first, then Popper.js, then Bootstrap JS -->
<script src="https://code.jquery.com/jquery-3.3.1.slim.min.js" integrity="sha384-q8i/X+965DzO0rT7abK41JStQIAqVgRVzpbzo5smXKp4YfRvH+8abtTE1Pi6jizo" crossorigin="anonymous"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/popper.js/1.14.7/umd/popper.min.js" integrity="sha384-UO2eT0CpHqdSJQ6hJty5KVphtPhzWj9WO1clHTMGa3JDZwrnQq4sF86dIHNDz0W1" crossorigin="anonymous"></script>
<script src="https://stackpath.bootstrapcdn.com/bootstrap/4.3.1/js/bootstrap.min.js" integrity="sha384-JjSmVgyd0p3pXB1rRibZUAYoIIy6OrQ6VrjIEaFf/nJGzIxFDsf4x0xIM+B07jRM" crossorigin="anonymous"></script>
</body>
</html>