-
Notifications
You must be signed in to change notification settings - Fork 0
/
publications.html
428 lines (380 loc) · 14.9 KB
/
publications.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
---
layout: diy
title: Publications
---
<head>
<style>
a { text-decoration : none; }
a:hover { text-decoration : underline; }
a, a:visited { color : #6e6f71; }
p { font-size : 16px; }
h3 { font-size : 18px; margin : 8; padding : 0; }
h4 { font-size : 16px; margin : 6; padding : 0; }
.container { width : 1000px;}
.publogo { width: 100 px; margin-right : 20px; float : left; border : 10px;}
.publication { clear : left; padding-bottom : 0px; }
.publication p { height : 180px; padding-top : 0px;}
.publication strong { font-size : 17px; color : #990036; }
.publication strong a { font-size : 17px; color : #990036; }
</style>
</head>
<div class="container">
<h3>2024</h3>
<div class="publication">
<img src="../static/pubs/Mov24.png" class="publogo" width="200 px" height="150 px">
<p>
<strong>
MovieChat: From Dense Token to Sparse Memory in Long Video Understanding
</strong>
<br>
Enxin Song, Wenhao Chai, Guanhong Wang, Yucheng Zhang, Haoyang Zhou, Feiyang Wu, Haozhe Chi, Xun Guo, Tian Ye, Yanting Zhang, Yan Lu, Jenq-Neng Hwang, Gaoang Wang
<br>
<font color="#E89B00">
<em>Computer Vision and Pattern Recognition (CVPR), 2024</em>
</font>
<br>
<a href="https://arxiv.org/abs/2307.16449">[Paper]</a>
<a href="https://github.com/rese1f/MovieChat">[Code]</a>
<a href="https://huggingface.co/datasets/Enxin/MovieChat-1K_train">[Dataset]</a>
<a href="https://rese1f.github.io/MovieChat/">[Website]</a>
<img alt="" src="https://img.shields.io/github/stars/rese1f/MovieChat?style=social">
<br>
<font color="grey" size="2">
MovieChat achieves state-of-the-art performace in long video understanding by introducing memory mechanism.
</font>
</p>
</div>
<div class="publication">
<img src="../static/pubs/MedM2G24.png" class="publogo" width="200 px" height="150 px">
<p>
<strong>
MedM2G: Unifying Medical Multi-Modal Generation via Cross-Guided Diffusion with Visual Invariant
</strong>
<br>
Chenlu Zhan, Yu Lin, Gaoang Wang, Hongwei Wang, Jian Wu
<br>
<font color="#E89B00">
<em>Computer Vision and Pattern Recognition (CVPR), 2024</em>
</font>
<br>
<a href="https://arxiv.org/pdf/2403.04290.pdf">[Paper]</a>
<br>
<font color="grey" size="2">
MedM2G has the ability for unified conversion between medical images and text, text and images, as well as the unified generation of various medical modalities such as CT, MRI, and X-ray.</font>
</p>
</div>
<div class="publication">
<img src="../static/pubs/Uni24.png" class="publogo" width="200 px" height="150 px">
<p>
<strong>
UniAP: Towards Universal Animal Perception in Vision via Few-Shot Learning
</strong>
<br>
Meiqi Sun, Zhonghan Zhao, Wenhao Chai, Hanjun Luo, Shidong Cao, Yanting Zhang, Jenq-Neng Hwang, Gaoang Wang
<br>
<font color="#E89B00">
<em>Association for the Advancement of Artificial Intelligence (AAAI), 2024</em>
</font>
<br>
<a href="https://arxiv.org/abs/2308.09953">[Paper]</a>
<a href="https://github.com/rese1f/UniAP">[Code]</a>
<a href="https://rese1f.github.io/UniAP/">[Website]</a>
<img alt="" src="https://img.shields.io/github/stars/rese1f/UniAP?style=social">
<br>
<font color="grey" size="2">
UniAP, a novel Universal Animal Perception model that leverages few-shot learning to enable cross-species perception among various visual tasks.
</font>
</p>
</div>
<div class="publication">
<img src="../static/pubs/EBAAAI24.png" class="publogo" width="200 px" height="150 px">
<p>
<strong>
Multi-Step Denoising Scheduled Sampling: Towards Alleviating Exposure Bias for Diffusion Models
</strong>
<br>
Zhiyao Ren, Yibing Zhan, Liang Ding, Gaoang Wang, Chaoyue Wang, Zhongyi Fan, Dacheng Tao
<br>
<font color="#E89B00">
<em>Association for the Advancement of Artificial Intelligence (AAAI), 2024</em>
</font>
<br>
<a href="https://ojs.aaai.org/index.php/AAAI/article/download/28267/28525">[Paper]</a>
<br>
<font color="grey" size="2">
We propose a multi-step denoising scheduled sampling (MDSS) strategy to alleviate the exposure bias for DDPMs.
</font>
</p>
</div>
<h3>2023</h3>
<div class="publication">
<img src="../static/pubs/DIV23.png" class="publogo" width="200 px" height="160 px">
<p>
<strong>
DIVOTrack: A Novel Dataset and Baseline Method for Cross-View Multi-Object Tracking in DIVerse Open Scenes
</strong>
<br>
Shengyu Hao, Peiyuan Liu, Yibing Zhan, Kaixun Jin, Zuozhu Liu, Mingli Song, Jenq-Neng Hwang, Gaoang Wang
<br>
<font color="#E89B00">
<em>International Journal of Computer Vision (IJCV), 2023</em>
</font>
<br>
<a href="https://arxiv.org/abs/2302.07676">[Paper]</a>
<a href="https://huggingface.co/datasets/syhao777/DIVOTrack">[Dataset]</a>
<a href="https://github.com/shengyuhao/DIVOTrack">[Code]</a>
<img alt="" src="https://img.shields.io/github/stars/shengyuhao/DIVOTrack?style=social">
<br>
<font color="grey" size="2">
A new cross-view multi-object tracking dataset for DIVerse Open scenes with dense tracking pedestrians.
</font>
</p>
</div>
<div class="publication">
<img src="../static/pubs/TIP24.png" class="publogo" width="200 px" height="160 px">
<p>
<strong>
Self-paced Multi-grained Cross-modal Interaction Modeling for Referring Expression Comprehension
</strong>
<br>
Peihan Miao, Wei Su, Gaoang Wang, Xuewei Li, Xi Li
<br>
<font color="#E89B00">
<em>IEEE Transactions on Image Processing (TIP), 2023</em>
</font>
<br>
<a href="https://ieeexplore.ieee.org/abstract/document/10345481">[Paper]</a>
<br>
<font color="grey" size="2">
We propose a Self-paced Multi-grained Cross-modal Interaction Modeling framework, which improves the language-to-vision localization ability through innovations in network structure and learning mechanism.</font>
</p>
</div>
<div class="publication">
<img src="../static/pubs/RFD23.png" class="publogo" width="200 px" height="150 px">
<p>
<strong>
DiffFashion: Reference-based Fashion Design with Structure-aware Transfer by Diffusion Models
</strong>
<br>
Shidong Cao, Wenhao Chai, Shengyu Hao, Yanting Zhang, Hangyue Chen, Gaoang Wang
<br>
<font color="#E89B00">
<em>IEEE Transactions on Multimedia (TMM), 2023</em>
</font>
<br>
<a href="https://arxiv.org/abs/2302.06826">[Paper]</a>
<a href="https://github.com/Rem105-210/DiffFashion">[Code]</a>
<img alt="" src="https://img.shields.io/github/stars/Rem105-210/DiffFashion?style=social">
<br>
<font color="grey" size="2">
We focus on a new fashion design task, where we aim to transfer a reference appearance image onto a clothing image while preserving the structure of the clothing image.
</font>
</p>
</div>
<div class="publication">
<img src="../static/pubs/STC23.png" class="publogo" width="200 px" height="150 px">
<p>
<strong>
StableVideo: Text-driven Consistency-aware Diffusion Video Editing
</strong>
<br>
Wenhao Chai, Xun Guo, Gaoang Wang, Yan Lu
<br>
<font color="#E89B00">
<em>International Conference on Computer Vision (ICCV), 2023</em>
</font>
<br>
<a href="https://rese1f.github.io/StableVideo/">[Website]</a>
<a href="https://arxiv.org/abs/2308.09592">[Paper]</a>
<a href="https://huggingface.co/spaces/Reself/StableVideo">[Demo]</a>
<a href="https://github.com/rese1f/StableVideo">[Code]</a>
<img alt="" src="https://img.shields.io/github/stars/rese1f/StableVideo?style=social">
<br>
<font color="grey" size="2">
We tackle introduce temporal dependency to existing text-driven diffusion models, which allows them to generate consistent appearance for the new objects.
</font>
</p>
</div>
<div class="publication">
<img src="../static/pubs/GAM23.png" class="publogo" width="200 px" height="160 px">
<p>
<strong>
Global Adaptation meets Local Generalization: Unsupervised Domain Adaptation for 3D Human Pose Estimation
</strong>
<br>
Wenhao Chai, Zhongyu Jiang, Jenq-Neng Hwang, Gaoang Wang
<br>
<font color="#E89B00">
<em>International Conference on Computer Vision (ICCV), 2023</em>
</font>
<br>
<a href="https://arxiv.org/abs/2303.16456">[Paper]</a>
<a href="https://github.com/rese1f/PoseDA">[Code]</a>
<img alt="NPM" src="https://img.shields.io/github/stars/rese1f/PoseDA?style=social">
<br>
<font color="grey" size="2">
A simple yet effective framework of unsupervised domain adaptation for 3D human pose estimation.
</font>
</p>
</div>
<div class="publication">
<img src="../static/pubs/DOD23.png" class="publogo" width="200 px" height="160 px">
<p>
<strong>
Bridging Cross-task Protocol Inconsistency for Distillation in Dense Object Detection
</strong>
<br>
Longrong Yang, Xianpan Zhou, Xuewei Li, Liang Qiao, Zheyang Li, Ziwei Yang, Gaoang Wang, Xi Li
<br>
<font color="#E89B00">
<em>International Conference on Computer Vision (ICCV), 2023</em>
</font>
<br>
<a href="https://openaccess.thecvf.com/content/ICCV2023/papers/Yang_Bridging_Cross-task_Protocol_Inconsistency_for_Distillation_in_Dense_Object_Detection_ICCV_2023_paper.pdf">[Paper]</a>
<br>
<font color="grey" size="2">
A novel distillation method with cross-task consistent protocols, tailored for dense object detection.</font>
</p>
</div>
<div class="publication">
<img src="../static/pubs/PMP23.png" class="publogo" width="200 px" height="150 px">
<p>
<strong>
PoSynDA: Multi-Hypothesis Pose Synthesis Domain Adaptation for Enhanced 3D Human Pose Estimation
</strong>
<br>
Hanbing Liu, Jun-Yan He, Zhi-Qi Cheng, Wangmeng Xiang, Qize Yang, Wenhao Chai, Gaoang Wang, Xu Bao, Bin Luo, Yifeng Geng, Xuansong Xie
<br>
<font color="#E89B00">
<em>ACM Multimedia (ACM MM), 2023</em>
</font>
<br>
<a href="https://arxiv.org/abs/2308.09678">[Paper]</a>
<a href="https://github.com/hbing-l/PoSynDA">[Code]</a>
<img alt="NPM" src="https://img.shields.io/github/stars/hbing-l/PoSynDA?style=social">
<br>
<font color="grey" size="2">
PoSynDA offers a state-of-the-art domain adaptation solution for 3D pose estimation.
</font>
</p>
</div>
<div class="publication">
<img src="../static/pubs/SGA23.png" class="publogo" width="200 px" height="160 px">
<p>
<strong>
SGAT4PASS: Spherical Geometry-Aware Transformer for PAnoramic Semantic Segmentation
</strong>
<br>
Xuewei Li, Tao Wu, Zhongang Qi, Gaoang Wang, Ying Shan, Xi Li
<br>
<font color="#E89B00">
<em>International Joint Conference on Artificial Intelligence (IJCAI), 2023</em>
</font>
<br>
<a href="https://arxiv.org/abs/2306.03403">[Paper]</a>
<br>
<font color="grey" size="2">
As an important and challenging problem in computer vision, PAnoramic Semantic Segmentation gives complete scene perception based on an ultra-wide angle of view.</font>
</p>
</div>
<div class="publication">
<img src="../static/pubs/LAW23.png" class="publogo" width="200 px" height="160 px">
<p>
<strong>
Language Adaptive Weight Generation for Multi-task Visual Grounding
</strong>
<br>
Wei Su, Peihan Miao, Huanzhang Dou, Gaoang Wang, Liang Qiao, Zheyang Li, Xi Li
<br>
<font color="#E89B00">
<em>IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023</em>
</font>
<br>
<a href="https://arxiv.org/abs/2303.00313">[Paper]</a>
<br>
<font color="grey" size="2">
Although the impressive performance in visual grounding, the prevailing approaches usually exploit the visual backbone in a passive way.
</p>
</div>
<div class="publication">
<img src="../static/pubs/TCF23.png" class="publogo" width="200 px" height="160 px">
<p>
<strong>
Temporal Constrained Feasible Subspace Learning for Human Pose Forecasting
</strong>
<br>
Gaoang Wang, Mingli Song
<br>
<font color="#E89B00">
<em>International Joint Conference on Artificial Intelligence (IJCAI), 2023</em>
</font>
<br>
<a href="https://www.ijcai.org/proceedings/2023/0161.pdf">[Paper]</a>
<br>
<font color="grey" size="2">
Human pose forecasting is a sequential modeling task that aims to predict future poses from historical motions.
</p>
</div>
<h3>2022</h3>
<div class="publication">
<img src="../static/pubs/HSS22.png" class="publogo" width="200 px" height="160 px">
<p>
<strong>
Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection
</strong>
<br>
Gaoang Wang, Yibing Zhan, Xinchao Wang, Mingli Song, Klara Nahrstedt
<br>
<font color="#E89B00">
<em>European Conference on Computer Vision (ECCV), 2022</em>
</font>
<br>
<a href="https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136850107.pdf">[Paper]</a>
<br>
<font color="grey" size="2">
Contrastive learning has provided a successful way to sample representation that enables effective discrimination on anomalies.
</p>
</div>
<div class="publication">
<img src="../static/pubs/SCA22.png" class="publogo" width="200 px" height="160 px">
<p>
<strong>
Split and Connect: A Universal Tracklet Booster for Multi-Object Tracking
</strong>
<br>
Gaoang Wang, Yizhou Wang, Renshu Gu, Weijie Hu, Jenq-Neng Hwang
<br>
<font color="#E89B00">
<em>IEEE Transactions on Multimedia (TMM), 2022</em>
</font>
<br>
<a href="https://arxiv.org/abs/2105.02426">[Paper]</a>
<br>
<font color="grey" size="2">
We propose a novel tracklet boosting model, consisting of a Splitter and a Connector, to directly address the temporal association errors that exist in almost all trackers in the MOT field.</font>
</p>
</div>
<h3>2021</h3>
<div class="publication">
<img src="../static/pubs/TAL21.png" class="publogo" width="200 px" height="160 px">
<p>
<strong>
Track without Appearance: Learn Box and Tracklet Embedding with Local and Global Motion Patterns for Vehicle Tracking
</strong>
<br>
Gaoang Wang, Renshu Gu, Zuozhu Liu, Weijie Hu, Mingli Song, Jenq-Neng Hwang
<br>
<font color="#E89B00">
<em>IEEE International Conference on Computer Vision (ICCV), 2021</em>
</font>
<br>
<a href="https://arxiv.org/abs/2108.06029">[Paper]</a>
<a href="https://github.com/GaoangW/LGMTracker">[Code]</a>
<img alt="" src="https://img.shields.io/github/stars/GaoangW/LGMTracker?style=social">
<br>
<font color="grey" size="2">
We try to explore the significance of motion patterns for vehicle tracking without appearance information.
</font>
</p>
</div>
</div>