-
Notifications
You must be signed in to change notification settings - Fork 1
/
index.html
434 lines (379 loc) · 15 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
<!-- -->
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
<html>
<head>
<meta name="google-site-verification" content="3l9iSXOYZI5WUxYehDjXug3JAWy4ebqEpCvd3iuALWE" />
<meta name=viewport content=“width=800”>
<meta name="generator" content="HTML Tidy for Linux/x86 (vers 11 February 2007), see www.w3.org">
<style type="text/css">
/* Color scheme stolen from Sergey Karayev */
a {
color: #1772d0;
text-decoration:none;
}
a:focus, a:hover {
color: #f09228;
text-decoration:none;
}
body,td,th,tr,p,a {
font-family: 'Lato', Verdana, Helvetica, sans-serif;
font-size: 14px
}
strong {
font-family: 'Lato', Verdana, Helvetica, sans-serif;
font-size: 14px;
}
heading {
font-family: 'Lato', Verdana, Helvetica, sans-serif;
font-size: 22px;
}
papertitle {
font-family: 'Lato', Verdana, Helvetica, sans-serif;
font-size: 14px;
font-weight: 700
}
name {
font-family: 'Lato', Verdana, Helvetica, sans-serif;
font-size: 32px;
}
.one
{
width: 160px;
height: 160px;
position: relative;
}
.two
{
width: 160px;
height: 160px;
position: absolute;
transition: opacity .2s ease-in-out;
-moz-transition: opacity .2s ease-in-out;
-webkit-transition: opacity .2s ease-in-out;
}
.fade {
transition: opacity .2s ease-in-out;
-moz-transition: opacity .2s ease-in-out;
-webkit-transition: opacity .2s ease-in-out;
}
span.highlight {
background-color: #ffffd0;
}
</style>
<link rel="icon" type="image/png" href="seal_icon.png">
<title>Kefan (Arthur) Chen</title>
<meta http-equiv="Content-Type" content="text/html; charset=us-ascii">
<link href='http://fonts.googleapis.com/css?family=Lato:400,700,400italic,700italic' rel='stylesheet' type='text/css'>
</head>
<body>
<table width="800" border="0" align="center" cellspacing="0" cellpadding="0">
<tr>
<td>
<table width="100%" align="center" border="0" cellspacing="0" cellpadding="20">
<tr>
<td width="67%" valign="middle">
<p align="center">
<name>Arthur (Kefan) Chen</name>
</p>
<p align="center">[email protected]</p>
<p>
I'm a Ph.D. candidate at Brown University, advised by <a href="https://cs.brown.edu/people/ssrinath/"> Prof. Srinath Sridhar</a>.
My research is dedicated to developing intelligent agents that learn dexterous skills from humans, aiming to simplify challenging tasks in our daily lives.
My areas of focus include Generative AI, digital humans, and embodied AI. Previously, I have held positions at Google, Meta, NVIDIA, Pinterest, and various startups, working as a researcher, Machine Learning Engineer, and research intern.
<br><br>
Before PhD, I had the honor to work with <a href="http://www.ameeshmakadia.com/index.html"> Dr. Ameesh Makadia </a> and
<a href="https://www.cs.cornell.edu/~snavely/"> Prof. Noah Snavely</a> at Google Research, and <a href="https://www.cs.utoronto.ca/~fidler/index.html"> Prof. Sanja Fidler</a> at UofT.
</p>
</td>
<td width="33%">
<img src="assets/portrait.jpg" width="200">
</td>
</tr>
</table>
<table width="100%" align="center" border="0" cellspacing="0" cellpadding="20">
<tr>
<p align=center>
<img style="width: 18px; height:18px;" src="assets/resume_logo.png">
<a href="assets/CurriculumVitae.pdf">CV</a>   /  
<img style="width: 18px; height:18px;" src="assets/linkedIn_logo.png">
<a href="https://www.linkedin.com/in/kefanc"> LinkedIn </a>   /  
<img style="width: 18px; height:18px;" src="assets/google_scholar.jpg">
<a href="https://scholar.google.com/citations?user=A6FPlHcAAAAJ&hl=en">Google Scholar</a>
</p>
</tr>
</table>
<table width="100%" align="center" border="0" cellspacing="0" cellpadding="20">
<tr>
<td width="100%" valign="middle">
<heading>Publications</heading>
</td>
</tr>
</table>
<table width="100%" align="center" border="0" cellspacing="0" cellpadding="20">
<tr bgcolor="#ffffff">
<td width="25%">
<img src="assets/foundhand.png" width='250'></div>
</td>
<td valign="top" width="75%">
<p>
<papertitle>FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation</papertitle>
<br><strong>K Chen</strong>*, C Min*, L Zhang, S Hampali, C Keskin, S Sridhar<br>
<em>under review</em>, 2024 <br>
[<a href='https://arxiv.org/pdf/2412.02690'>Paper</a>]
<!-- [<a href='https://youtu.be/26tBmSOXxHo'>Video</a>] -->
[<a href='https://ivl.cs.brown.edu/research/foundhand.html'>Code</a>]
<br>
</p>
</td>
</tr>
<tr bgcolor="#ffffff">
<td width="25%">
<img src="assets/uvgs.jpg" width='250'></div>
</td>
<td valign="top" width="75%">
<p>
<papertitle>UVGS: Reimagining Unstructured 3D Gaussian Splatting using UV Mapping</papertitle>
<br>A Rai, D Wang, M Jain, N Sarafianos, <strong>K Chen</strong>, S Sridhar, A Prakash<br>
<em>under review</em>, 2024 <br>
[<a href=''>Paper</a>]
<!-- [<a href='https://youtu.be/26tBmSOXxHo'>Video</a>] -->
[<a href=''>Code</a>]
<br>
</p>
</td>
</tr>
<tr bgcolor="#ffffff">
<td width="25%">
<img src="assets/MANUS.png" width='250'></div>
</td>
<td valign="top" width="75%">
<p>
<papertitle>MANUS: Markerless Hand-Object Grasp Capture using Articulated 3D Gaussians</papertitle>
<br>C Pokhariya, I Shah, A Xing, Z Li, <strong>K Chen</strong>, A Sharma, S Sridhar<br>
<em>Conference on Computer Vision and Pattern Recognition (CVPR)</em>, 2024 <br>
[<a href='https://arxiv.org/pdf/2312.02137.pdf'>Paper</a>]
<!-- [<a href='https://youtu.be/26tBmSOXxHo'>Video</a>] -->
[<a href='https://ivl.cs.brown.edu/research/manus.html'>Code</a>]
<br>
</p>
</td>
</tr>
<tr bgcolor="#ffffff">
<td width="25%">
<img src="assets/diva360.png" width='250'></div>
</td>
<td valign="top" width="75%">
<p>
<papertitle>DiVa-360: The Dynamic Visual Dataset for Immersive Neural Fields</papertitle>
<br>C Lu, P Zhou, A Xing, C Pokhariya, A Dey, I Shah, R Mavidipalli, D Hu, A Comport, <strong>K Chen</strong>, S Sridhar<br>
<em>Conference on Computer Vision and Pattern Recognition (CVPR)</em>, 2024 <strong>(Highlight)</strong> <br>
[<a href='https://arxiv.org/pdf/2307.16897.pdf'>Paper</a>]
[<a href='https://youtu.be/26tBmSOXxHo'>Video</a>]
[<a href='https://diva360.github.io/'>Code</a>]
<br>
</p>
</td>
</tr>
<tr bgcolor="#ffffff">
<td width="25%">
<img src="assets/TrainingPipeline_fill.png" width='250'></div>
</td>
<td valign="top" width="75%">
<p>
<papertitle>Wide-Baseline Relative Camera Pose Estimation with Directional Learning</papertitle>
<br>
<strong>Kefan Chen</strong>, Noah, Snavely, Ameesh Makadia<br>
<em>Conference on Computer Vision and Pattern Recognition (CVPR)</em>, 2021 <br>
[<a href='https://arxiv.org/pdf/2106.03336.pdf'>Paper</a>]
[<a id='directionnet_bib' onclick='detail_switch(this.id)'>Bibtex</a>]
[<a href='https://www.youtube.com/watch?v=tJ2JTFmi0oI'>Video</a>]
[<a href='https://arthurchen0518.github.io/DirectionNet'>Code</a>]
<br>
</p>
<p>
<div id='directionnet_bib_content' style="font-family:monospace;display:none;">
@InProceedings{Chen_2021_CVPR,
author = {Chen, Kefan and Snavely, Noah and Makadia, Ameesh},
title = {Wide-Baseline Relative Camera Pose Estimation With Directional Learning},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2021},
pages = {3258-3268}
}
</div>
</p>
<p></p>
</td>
</tr>
<tr bgcolor="#ffffff">
<td width="25%">
<img src="assets/svd_analysis.png" width='250'></div>
</td>
<td valign="top" width="75%">
<p>
<papertitle>An Analysis of SVD for Deep Rotation Estimation</papertitle>
<br>
Jake Levinson, Carlos Esteves, <strong>Kefan Chen</strong>, Noah Snavely, Angjoo Kanazawa, Afshin Rostamizadeh, Ameesh Makadia<br>
<em>Conference on Neural Information Processing Systems (NeurIPS)</em>, 2020 <br>
[<a href='https://arxiv.org/pdf/2006.14616.pdf'>Paper</a>]
[<a id='svd_bib' onclick='detail_switch(this.id)'>Bibtex</a>]
[<a href='https://www.youtube.com/watch?v=_lvz3KdZr_I'>Video</a>]
[<a href='https://github.com/google-research/google-research/tree/master/special_orthogonalization'>Code</a>]
<br>
</p>
<p>
<div id='svd_bib_content' style="font-family:monospace;display:none;">
@inproceedings{levinson20neurips,
title = {An Analysis of {SVD} for Deep Rotation Estimation},
author = {Jake Levinson, Carlos Esteves, Kefan Chen, Noah Snavely, Angjoo Kanazawa, Afshin Rostamizadeh, and Ameesh Makadia},
booktitle = {Advances in Neural Information Processing Systems 34},
year = {2020}
}
</div>
</p>
<p></p>
</td>
</tr>
</table>
<table width="100%" align="center" border="0" cellspacing="0" cellpadding="20">
<tr>
<td>
<heading>Education</heading>
</td>
</tr>
</table>
<table width="100%" align="center" border="0" cellpadding="20">
<tr>
<td width="25%"><img src="assets/brown.png" alt="prl" width="160" ></td>
<td width="75%" valign="top">
<p>
<big>Brown University</big> <br>
Ph.D. student in Computer Science <br>
Research Areas: GenAI, large vision models, digital human, 3D computer vision. <br>
2022 - 2027 <br>
</p>
</td>
</tr>
<tr>
<td width="25%"><img src="assets/UofT-Logo.png" alt="prl" width="160" ></td>
<td width="75%" valign="top">
<p>
<big>University of Toronto</big> <br>
B.Eng. in Electrical Engineering <br>
2014 - 2018 <br>
</p>
</td>
</tr>
</table>
<table width="100%" align="center" border="0" cellspacing="0" cellpadding="20">
<tr>
<td>
<heading>Industry</heading>
</td>
</tr>
</table>
<table width="100%" align="center" border="0" cellpadding="20">
<tr>
<td width="25%"><img src="assets/meta-logo.png" alt="prl" width="160" ></td>
<td width="75%" valign="top">
<p>
<big>Meta</big> <br>
Research Scientist<br>
Seattle, WA <br>
June, 2023 - Current<br>
</p>
<p></p>
<p>
Diffusion, 3D avatar, Gaussian Splatting research at Reality Lab.
</p>
</td>
</tr>
<tr>
<td width="25%"><img src="assets/Pinterest-Logo.png" alt="prl" width="160" ></td>
<td width="75%" valign="top">
<p>
<big>Pinterest</big> <br>
Machine Learning Engineer<br>
Toronto, Canada <br>
January, 2022 - September, 2022<br>
</p>
<p></p>
<p>
ML for shopping content mining.
</p>
</td>
</tr>
<!--
<tr>
<td width="25%"><img src="assets/gatik_logo.png" alt="prl" width="160" ></td>
<td width="75%" valign="top">
<p>
<big>Gatik</big> <br>
Toronto, Canada <br>
September, 2020 - December, 2021 <br>
</p>
<p></p>
<p>
Develop long-range multimodal perception for self-driving trucks.
</p>
</td>
</tr> -->
<tr>
<td width="25%"><img src="assets/google_research_logo.jpg" alt="prl" width="180" ></td>
<td width="75%" valign="top">
<p>
<big>Google Research</big> <br>
AI Resident<br>
New York City, NY <br>
June, 2018 - August, 2020 <br>
</p>
<p></p>
<p>
Deep learning and 3D computer vision research.
</p>
</td>
</tr>
<tr>
<td width="25%"><img src="assets/nvidia_logo.png" alt="prl" width="150" ></td>
<td width="75%" valign="top">
<p>
<big>Nvidia Corporation </big><br>
Research Intern<br>
Toronto, Canada <br>
May, 2017 - August, 2017 <br>
</p>
<p></p>
<p>
Deep learning research in animation and robotic perception.<br>
</p>
</td>
</tr>
</table>
<table width="100%" align="center" border="0" cellspacing="0" cellpadding="20">
<tr>
<td>
<br>
<p align="right">
<font size="2">
Template: <a href="https://github.com/jonbarron/jonbarron_website"><strong>This Guy</strong></a>
</font>
</p>
</td>
</tr>
</table>
</td>
</tr>
</table>
<script>
function detail_switch(click_id) {
click_intro = click_id + '_content'
var x = document.getElementById(click_intro);
if (x.style.display === "none") {
x.style.display = "block";
} else {
x.style.display = "none";
}
}
</script>
</body>
</html>