-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathindex.html
More file actions
1270 lines (1183 loc) · 57.7 KB
/
index.html
File metadata and controls
1270 lines (1183 loc) · 57.7 KB
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
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
<!DOCTYPE HTML>
<html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<title>Jilan Xu</title>
<meta name="author" content="Jilan Xu">
<meta name="viewport" content="width=device-width, initial-scale=1">
<link rel="stylesheet" type="text/css" href="stylesheet.css">
<link rel="icon" type="image/png" href="images/seal_icon.png">
</head>
<body>
<table style="width:100%;max-width:1000px;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
<tr style="padding:0px">
<td style="padding:0px">
<style>
.intro-section p {
font-size: 18px !important;
line-height: 1.7 !important;
}
</style>
<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:2.5%;width:65%;vertical-align:middle">
<p style="text-align:center">
<name>Jilan Xu</name>
<br>
<a href="mailto:[deletethis] jilanxu18@fudan.edu.cn", style="color:grey">jilanxu18 at fudan dot edu dot cn</a>
<br>
<br>
<section class="intro-section">
<p style="text-align: justify;">
I am currently a postdoctoral researcher at the
<a href="https://www.robots.ox.ac.uk/~vgg/"><font size="4">Visual Geometry Group (VGG)</font></a>, University of Oxford,
advised by Professor <a href="https://www.robots.ox.ac.uk/~az/"><font size="4">Andrew Zisserman</font></a>.
Before that, I received my Ph.D. degree from Fudan University, where I was advised by
Professor <a href="https://cs.fudan.edu.cn/3e/d0/c25921a278224/page.htm###"><font size="4">Yuejie Zhang</font></a>.
I also collaborate closely with Professor <a href="https://weidixie.github.io/"><font size="4">Weidi Xie</font></a> at Shanghai Jiao Tong University.
</p>
<p style="text-align: justify;">
My research interests include <strong><font size="4">multimodal video understanding</font></strong>,
<strong><font size="4">visual representation learning</font></strong>, and
<strong><font size="4">medical image analysis</font></strong>.
I aspire to contribute to building medical AI agents that can heal the world
and make it a better place for all humankind.
</p>
<p style="text-align: center;">
<a href="https://scholar.google.com/citations?user=mf2U64IAAAAJ&hl=en&oi=ao"><font size="4">Google Scholar</font></a> /
<a href="https://twitter.com/JazzzCharles"><font size="4">Twitter</font></a> /
<a href="https://github.com/Jazzcharles"><font size="4">GitHub</font></a> /
<a href="https://www.zhihu.com/people/Jazz_charles"><font size="4">Zhihu</font></a>
</p>
</section>
</td>
<style>
</style>
<td style="padding:2.5%;width:40%;max-width:40%">
<a href="images/icon2_square.jpeg"><img style="width:70%;max-width:70%;border-radius:50%" alt="profile photo" src="images/icon2_square.jpeg" class="img-circle" ></a>
</td>
</tr>
</tbody>
</table>
<table width="100%" align="center" border="0" cellspacing="0" cellpadding="20">
<tbody>
<tr>
<td>
<h2 style="font-family: Arial, Helvetica, sans-serif; font-size: 26px; font-weight: 700; color: #d9534f; margin-bottom: 20px;">
📢 News
</h2>
<ul class="news-list">
<li>
<span class="news-date">[01/2026]</span> Two papers <a href="https://link.springer.com/article/10.1007/s11263-025-02608-y" target="_blank"><strong><font size=4>Ego-Exo Survey</font></strong></a> and <a href="https://arxiv.org/pdf/2403.09626?" target="_blank"><strong><font size=4>Video Mamba Suite</font></strong></a> are accepted to <em><font size=4>IJCV</font></em> !
</li>
<li>
<span class="news-date">[09/2025]</span> Three papers <a href="https://arxiv.org/abs/2507.18342" target="_blank"><strong><font size=4>EgoThinker</font></strong></a>, <a href="https://arxiv.org/abs/2505.02830" target="_blank"><strong><font size=4>AOR</font></strong></a>, <a href="https://arxiv.org/abs/2507.18342" target="_blank"><strong><font size=4>EgoExoBench</font></strong></a> are accepted to <em><font size=4>NeurIPS 2025</font></em> !
</li>
<li>
<span class="news-date">[09/2025]</span> One paper <strong><font size=4>VinCi </font></strong> is accepted to <em><font size=4>IMWUT 2025</font></em> !
</li>
<li>
<span class="news-date">[09/2025]</span> We rank <strong><font size=4>1st</font></strong> at (1) Fair Disease Challenge and (2) Multi-Source COVID19 Detection Challenge @ <em><font size=4>ICCV 2025</font></em>
</li>
<li>
<span class="news-date">[07/2025]</span> One paper <strong><font size=4>Streamformer</font></strong> is accepted to <em><font size=4>ICCV 2025</font></em> as an <b style="color:#007bff;"><font size=4>Oral</font></b> paper !!!
</li>
<li>
<span class="news-date">[03/2025]</span> <strong><font size=4>EgoExoLearn</font></strong> won <a href="https://egovis.github.io/awards/2023_2024/" target="_blank"><font size=4>EgoVis 2023/2024 Distinguished Paper Award</font></a> !!!
</li>
<li>
<span class="news-date">[01/2025]</span> Three Papers <strong><font size=4>EgoExo-Gen</font></strong>, <strong><font size=4>EgoVideo</font></strong>, <strong><font size=4>CGBench</font></strong> accepted to <em><font size=4>ICLR 2025</font></em> !!!
</li>
<li>
<span class="news-date">[01/2025]</span> Honored to be invited to give a talk on joint egocentric-exocentric video understanding at <a href="https://www.techbeat.net/talk-info?id=940" target="_blank"><font size=4>TechBeat</font></a>
</li>
<li>
<span class="news-date">[05/2024]</span> Our CVPR papers <strong><font size=4>Egoinstructor</font></strong> and <strong><font size=4>EgoExoLearn</font></strong> are accepted to <em><font size=4>1st LPVL Workshop @ CVPR 2024</font></em>
</li>
</ul>
<style>
.news-list {
list-style: none;
padding: 0;
margin: 0;
font-family: Arial, Helvetica, sans-serif;
font-size: 16px;
line-height: 1.7;
}
.news-list li {
display: flex;
align-items: baseline;
padding: 10px 12px;
margin-bottom: 8px;
background: #fafafa;
border-radius: 8px;
transition: background 0.2s;
}
.news-list li:hover {
background: #f0f4ff;
}
.news-date {
flex-shrink: 0;
width: 90px;
color: #999;
font-weight: 500;
}
.news-list a {
color: #007bff;
text-decoration: none;
font-weight: 500;
}
.news-list a:hover {
text-decoration: underline;
}
</style>
</td>
</tr>
</tbody>
</table>
<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin:auto;">
<tbody>
<tr>
<td style="padding:20px;vertical-align:middle">
<h2 style="font-family: Arial, Helvetica, sans-serif; font-size: 26px; font-weight: 700; color: #2c3e50; margin-bottom: 10px;">
📑 Research
</h2>
</td>
</tr>
</tbody>
</table>
<style>
.tab button {
flex: 1;
font-size: 18px;
padding: 12px 0;
border: 1px solid #d0d0d0;
background: #f5f8ff;
cursor: pointer;
transition: background 0.2s ease; /* 平滑过渡 */
}
.tab button:first-child {
border-radius: 8px 0 0 8px;
border-right: none;
}
.tab button:last-child {
border-radius: 0 8px 8px 0;
}
/* hover 时稍微深一点 */
.tab button:hover {
background: #e6edff;
}
/* active 时更深 */
.tab button.active {
background: #d0dbff;
}
</style>
<div class="tab" style="display: flex; width: 100%; margin-bottom: 20px;">
<button class="tablinks active" onclick="openTab(event, 'ComputerVision')">Computer Vision and Multimodal Learning</button>
<button class="tablinks" onclick="openTab(event, 'Medical')">Medical Image Analysis</button>
</div>
<script>
function openTab(evt, tabName) {
// 移除所有按钮的 active
const buttons = document.getElementsByClassName("tablinks");
for (let i = 0; i < buttons.length; i++) {
buttons[i].classList.remove("active");
}
// 给当前点击的按钮加 active
evt.currentTarget.classList.add("active");
}
</script>
<div id="ComputerVision" class="tabcontent" style="display:block;">
<!-- 将Computer Vision相关的研究项目放在这里 -->
<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
<tr class="paper-item">
<td style="padding:20px;width:10%;vertical-align:middle;">
<img src="images/omnistream.png" alt="vinci" class="paper-img">
</td>
<td width="75%" valign="middle">
<a href="https://arxiv.org/abs/2603.12265" class="paper-title">
OmniStream: Mastering Perception, Reconstruction and Action in Continuous Streams
</a>
<div class="paper-authors">
Yibin Yan*, <b>Jilan Xu*</b>, Shangzhe Di, Haoning Wu, Weidi Xie
</div>
<div class="paper-venue">
<em>Technical Report</em>
</div>
<div class="paper-links">
<a href="https://arxiv.org/abs/2603.12265" class="tag">arXiv</a>
<a href="https://go2heart.github.io/omnistream/" class="tag">project</a>
<a href="https://github.com/Go2Heart/OmniStream" class="tag">code</a>
</div>
<p class="paper-desc">
OmniStream is a unified streaming visual backbone that effectively perceives, reconstructs, and acts from diverse visual inputs, supporting visual probing, streaming geometric reconstruction, VLM and VLA.
</p>
</td>
</tr>
<tr class="paper-item">
<td style="padding:20px;width:10%;vertical-align:middle;">
<img src="images/aurola.png" alt="vinci" class="paper-img">
</td>
<td width="75%" valign="middle">
<a href="https://arxiv.org/abs/2602.18010" class="paper-title">
Scaling Audio-Text Retrieval with Multimodal Large Language Models
</a>
<div class="paper-authors">
<b>Jilan Xu</b>, Carl Thome, Danijela Horak, Weidi Xie, Andrew Zisserman
</div>
<div class="paper-venue">
<em>Technical Report</em>
</div>
<div class="paper-links">
<a href="https://arxiv.org/abs/2602.18010" class="tag">arXiv</a>
<a href="https://github.com/Jazzcharles/AuroLA" class="tag">code</a>
</div>
<p class="paper-desc">
AuroLA is a contrastive language-audio pre-training framework that re-purposes Multimodal Large Language Models as a unified backbone for retrieval.
</p>
</td>
</tr>
<tr class="paper-item">
<td style="padding:20px;width:10%;vertical-align:middle;">
<img src="images/vinci.png" alt="vinci" class="paper-img">
</td>
<td width="75%" valign="middle">
<a href="https://dl.acm.org/doi/pdf/10.1145/3749513" class="paper-title">
Vinci: A Real-time Smart Assistant Based on Egocentric Vision-language Model for Portable Devices
</a>
<div class="paper-authors">
Yifei Huang*, <b>Jilan Xu*</b>, Baoqi Pei*, Lijin Yang*, MingFang Zhang, Yuping He, Guo Chen, et al.
</div>
<div class="paper-venue">
<em>IMWUT 2025</em>
</div>
<div class="paper-links">
<a href="https://arxiv.org/abs/2412.21080" class="tag">arXiv</a>
<a href="https://github.com/OpenGVLab/vinci" class="tag">code</a>
</div>
<p class="paper-desc">
A real-time vision-language system that can assist users with daily tasks, including scene understanding, grounding, summarization, and future planning.
</p>
</td>
</tr>
<tr class="paper-item">
<td style="padding:20px;width:10%;vertical-align:middle;">
<img src="images/streamformer.png" alt="streamformer" class="paper-img">
</td>
<td width="75%" valign="middle">
<a href="https://arxiv.org/abs/2504.20041" class="paper-title">
Learning Streaming Video Representation via Multitask Training
</a>
<div class="paper-authors">
Yibin Yan*, <b>Jilan Xu*</b>, Shangzhe Di, Yikun Liu, Yudi Shi, Qirui Chen, Zeqian Li, Yifei Huang, Weidi Xie
</div>
<div class="paper-venue">
<em>ICCV 2025, <b>Oral</b></em>
</div>
<div class="paper-links">
<a href="https://arxiv.org/pdf/2504.20041" class="tag">arXiv</a>
<a href="https://go2heart.github.io/streamformer" class="tag">project</a>
<a href="https://github.com/Go2Heart/StreamFormer/tree/main" class="tag">code</a>
</div>
<p class="paper-desc">
A streaming video backbone that learns global, temporal, and spatial video features in a unified visual-textual alignment framework.
</p>
</td>
</tr>
<tr class="paper-item">
<td style="padding:20px;width:10%;vertical-align:middle;">
<img src="images/xgen_teaser_square.png" alt="xgen" class="paper-img">
</td>
<td width="75%" valign="middle">
<a href="https://arxiv.org/abs/2504.11732" class="paper-title">
EgoExo-Gen: Egocentric Video Prediction by Watching Exocentric Videos
</a>
<div class="paper-authors">
<b>Jilan Xu</b>, Yifei Huang, Baoqi Pei, Junlin Hou, Qingqiu Li, Guo Chen, Yuejie Zhang, Rui Feng, Weidi Xie
</div>
<div class="paper-venue">
<em>ICLR 2025</em>
</div>
<div class="paper-links">
<a href="https://arxiv.org/pdf/2504.11732" class="tag">arXiv</a>
</div>
<p class="paper-desc">
A cross-view video prediction model that predicts future egocentric video frames by leveraging paired exocentric video and text instructions.
</p>
</td>
</tr>
<!-- <tr class="paper-item">
<td style="padding:20px;width:10%;vertical-align:middle;">
<img src="images/egovideo.png" alt="egovideo" class="paper-img">
</td>
<td width="75%" valign="middle">
<a href="https://arxiv.org/abs/2503.00986" class="paper-title">
Modeling Fine-Grained Hand-Object Dynamics for Egocentric Video Representation Learning
</a>
<div class="paper-authors">
Baoqi Pei, Yifei Huang, <b>Jilan Xu</b>, Guo Chen, Yuping He, Lijin Yang, Yali Wang, Weidi Xie, Yu Qiao, Fei Wu, Limin Wang
</div>
<div class="paper-venue">
<em>ICLR 2025</em>
</div>
<div class="paper-links">
<a href="https://arxiv.org/pdf/2503.00986" class="tag">arXiv</a>
</div>
<p class="paper-desc">
An egocentric video-language model that learns fine-grained egocentric video representations by modeling hand-object dynamics.
</p>
</td>
</tr>
<tr class="paper-item">
<td style="padding:20px;width:10%;vertical-align:middle;">
<img src="images/cgbench2.png" alt="cgbench" class="paper-img">
</td>
<td width="75%" valign="middle">
<a href="https://arxiv.org/abs/2412.12075" class="paper-title">
CG-Bench: Clue-grounded Question Answering Benchmark for Long Video Understanding
</a>
<div class="paper-authors">
Guo Chen*, Yicheng Liu*, Yifei Huang*, Yuping He, Baoqi Pei, <b>Jilan Xu</b>, Yali Wang, Tong Lu, Limin Wang
</div>
<div class="paper-venue">
<em>ICLR 2025</em>
</div>
<div class="paper-links">
<a href="https://arxiv.org/pdf/2412.12075" class="tag">arXiv</a>
<a href="https://cg-bench.github.io/leaderboard/" class="tag">project</a>
<a href="https://github.com/CG-Bench/CG-Bench" class="tag">code</a>
</div>
<p class="paper-desc">
A clue-grounded question answering benchmark for long video understanding.
</p>
</td>
</tr> -->
<tr class="paper-item">
<td style="padding:20px;width:10%;vertical-align:middle;">
<img src="images/egoexolearn.png" alt="egoexolearn" class="paper-img">
</td>
<td width="75%" valign="middle">
<a href="https://arxiv.org/abs/2403.16182" class="paper-title">
EgoExoLearn: A Dataset for Bridging Asynchronous Ego- and Exo-centric View of Procedural Activities in Real World
</a>
<div class="paper-authors">
Yifei Huang*, Guo Chen*, <b>Jilan Xu*</b>, Mingfang Zhang*, Baoqi Pei, Hongjie Zhang, Lu Dong, Yali Wang, Limin Wang, Yu Qiao
</div>
<div class="paper-venue">
<em>CVPR 2024</em>
</div>
<div class="paper-links">
<a href="https://arxiv.org/pdf/2403.16182.pdf" class="tag">arXiv</a>
<a href="https://egoexolearn.github.io/" class="tag">project</a>
<a href="https://github.com/OpenGVLab/EgoExoLearn" class="tag">code</a>
</div>
<p class="paper-desc">
A cross-view benchmark dataset that emulates the human demonstration following process, containing recorded egocentric videos guided by exocentric-view demonstration videos.
</p>
</td>
</tr>
<tr class="paper-item">
<td style="padding:20px;width:10%;vertical-align:middle;">
<img src="images/egoinstructor.png" alt="egoinstructor" class="paper-img">
</td>
<td width="75%" valign="middle">
<a href="https://arxiv.org/abs/2401.00789" class="paper-title">
Retrieval-Augmented Egocentric Video Captioning
</a>
<div class="paper-authors">
<b>Jilan Xu</b>, Yifei Huang, Junlin Hou, Guo Chen, Yuejie Zhang, Rui Feng, Weidi Xie
</div>
<div class="paper-venue">
<em>CVPR 2024</em>
</div>
<div class="paper-links">
<a href="https://arxiv.org/pdf/2401.00789.pdf" class="tag">arXiv</a>
<a href="https://jazzcharles.github.io/Egoinstructor" class="tag">project</a>
<a href="https://github.com/Jazzcharles/Egoinstructor" class="tag">code</a>
</div>
<p class="paper-desc">
Given an egocentric video, Egoinstructor automatically retrieves relevant exocentric instructional videos for assisting egocentric video captioning.
</p>
</td>
</tr>
<tr class="paper-item">
<td style="padding:20px;width:10%;vertical-align:middle;">
<img src="images/ovsegmentor.png" alt="ovsegmentor" class="paper-img">
</td>
<td width="75%" valign="middle">
<a href="https://arxiv.org/abs/2301.09121" class="paper-title">
Learning Open-vocabulary Semantic Segmentation Models From Natural Language Supervision
</a>
<div class="paper-authors">
<b>Jilan Xu</b>, Junlin Hou, Yuejie Zhang, Rui Feng, Yi Wang, Yu Qiao, Weidi Xie
</div>
<div class="paper-venue">
<em>CVPR 2023</em>
</div>
<div class="paper-links">
<a href="https://arxiv.org/pdf/2301.09121.pdf" class="tag">arXiv</a>
<a href="https://jazzcharles.github.io/OVSegmentor" class="tag">project</a>
<a href="https://github.com/Jazzcharles/OVSegmentor" class="tag">code</a>
</div>
<p class="paper-desc">
Training open-vocabulary semantic segmentation models with image-text pairs only, which enables zero-transfer to various segmentation datasets.
</p>
</td>
</tr>
<tr class="paper-item">
<td style="padding:20px;width:10%;vertical-align:middle;">
<img src="images/cream.png" alt="cream" class="paper-img">
</td>
<td width="75%" valign="middle">
<a href="https://arxiv.org/abs/2205.13922" class="paper-title">
CREAM: Weakly supervised object localization via class re-activation mapping
</a>
<div class="paper-authors">
<b>Jilan Xu</b>, Junlin Hou, Yuejie Zhang, Rui Feng, Rui-Wei Zhao, Tao Zhang, Xuequan Lu, Shang Gao
</div>
<div class="paper-venue">
<em>CVPR 2022</em>
</div>
<div class="paper-links">
<a href="https://arxiv.org/pdf/2205.13922.pdf" class="tag">arXiv</a>
</div>
<p class="paper-desc">
A weakly-supervised object localization model that generates better CAMs via soft-clustering algorithms.
</p>
</td>
</tr>
<tr class="paper-item">
<td style="padding:20px;width:10%;vertical-align:middle;">
<img src="images/ovoad.png" alt="ovoad" class="paper-img">
</td>
<td width="75%" valign="middle">
<a href="https://openreview.net/forum?id=PWzB2V2b6R" class="paper-title">
Does video-text pretraining help open vocabulary online action detection
</a>
<div class="paper-authors">
Qingsong Zhao*, Yi Wang*, <b>Jilan Xu*</b>, Yinan He*, Zifan Song, Limin Wang, Yu Qiao, Cairong Zhao
</div>
<div class="paper-venue">
<em>NeurIPS 2024</em>
</div>
<div class="paper-links">
<a href="https://openreview.net/forum?id=PWzB2V2b6R" class="tag">arXiv</a>
</div>
<p class="paper-desc">
A zero-shot online action detector that leverages vision-language models and enables open-world temporal understanding.
</p>
</td>
</tr>
<tr class="paper-item">
<td style="padding:20px;width:10%;vertical-align:middle;">
<img src="images/internvideo.png" alt="internvideo" class="paper-img">
</td>
<td width="75%" valign="middle">
<a href="https://arxiv.org/abs/2212.03191" class="paper-title">
InternVideo: General Video Foundation Models via Generative and Discriminative Learning
</a>
<div class="paper-authors">
Yi Wang, Kunchang Li, Yizhuo Li, Yinan He, Bingkun Huang, Zhiyu Zhao, Hongjie Zhang, <b>Jilan Xu</b>, Yi Liu, Zun Wang, Sen Xing, Guo Chen, Junting Pan, Jiashuo Yu, Yali Wang, Limin Wang, Yu Qiao
</div>
<div class="paper-venue">
<em>Tech report 2022</em>
</div>
<div class="paper-links">
<a href="https://arxiv.org/pdf/2212.03191.pdf" class="tag">arXiv</a>
<a href="https://github.com/OpenGVLab/InternVideo" class="tag">code</a>
</div>
<p class="paper-desc">
A foundation model for video / video-text understanding, achieving SOTA over 30 benchmark datasets.
</p>
</td>
</tr>
<style>
.paper-item {
background: #fff;
border-radius: 12px;
box-shadow: 0 2px 6px rgba(0,0,0,0.08);
transition: transform 0.2s ease, box-shadow 0.2s ease;
}
.paper-item:hover {
transform: translateY(-3px);
box-shadow: 0 4px 12px rgba(0,0,0,0.12);
}
.paper-img {
width: 260px;
height: 195px;
object-fit: cover;
border-radius: 8px;
}
.paper-title {
font-size: 20px;
font-weight: 600;
color: #2c3e50;
text-decoration: none;
}
.paper-title:hover {
color: #007bff;
}
.paper-authors {
margin-top: 6px;
font-size: 15px;
color: #444;
}
.paper-venue {
margin-top: 4px;
font-size: 15px;
color: #555;
}
.paper-links {
margin-top: 6px;
}
.tag {
display: inline-block;
padding: 3px 8px;
margin-right: 6px;
font-size: 14px;
color: #fff;
background: #007bff;
border-radius: 6px;
text-decoration: none;
transition: background 0.2s;
}
.tag:hover {
background: #0056b3;
}
.paper-desc {
margin-top: 10px;
font-size: 15px;
color: #444;
line-height: 1.6;
}
</style>
</tbody></table>
</div>
<div id="Medical" class="tabcontent">
<!-- 将Medical相关的研究项目放在这里 -->
<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
<!-- 这里放置Medical相关的项目 -->
<tr class="paper-item">
<td style="padding:20px;width:10%;vertical-align:middle;">
<img src="images/aor.png" alt="aor" class="paper-img">
</td>
<td width="75%" valign="middle">
<a href="https://arxiv.org/abs/2505.02830" class="paper-title">
AOR: Anatomical Ontology-Guided Reasoning for Medical Large Multimodal Model in Chest X-Ray Interpretation
</a>
<div class="paper-authors">
Qingqiu Li, Zihang Cui, Seongsu Bae, <b>Jilan Xu</b>, Runtian Yuan, Yuejie Zhang, Rui Feng, Quanli Shen, Xiaobo Zhang, Junjun He, Shujun Wang
</div>
<div class="paper-venue">
<em>NeurIPS 2025</em>
</div>
<div class="paper-links">
<a href="https://arxiv.org/abs/2505.02830" class="tag">arXiv</a>
<a href="https://aor-mllm.github.io/aor.html" class="tag">project</a>
<a href="https://github.com/Liqq1/AOR" class="tag">code</a>
</div>
<p class="paper-desc">
An anatomical ontology-guided reasoning model and a large instruction dataset for chest-x-ray image understanding.
</p>
</td>
</tr>
<tr class="paper-item">
<td style="padding:20px;width:10%;vertical-align:middle;">
<img src="images/qmix.png" alt="qmix" class="paper-img">
</td>
<td width="75%" valign="middle">
<a href="https://arxiv.org/abs/2404.05169" class="paper-title">
QMix: Quality-aware Learning with Mixed Noise for Robust Retinal Disease Diagnosis
</a>
<div class="paper-authors">
Junlin Hou, <b>Jilan Xu</b>, Rui Feng, Hao Chen
</div>
<div class="paper-venue">
<em>IEEE Transactions on Medical Imaging 2025</em>
</div>
<div class="paper-links">
<a href="https://arxiv.org/pdf/2404.05169" class="tag">arXiv</a>
</div>
<p class="paper-desc">
A noise learning framework that learns a robust disease diagnosis model under mixed noise scenarios.
</p>
</td>
</tr>
<tr class="paper-item">
<td style="padding:20px;width:10%;vertical-align:middle;">
<img src="images/caw.png" alt="caw" class="paper-img">
</td>
<td width="75%" valign="middle">
<a href="https://arxiv.org/abs/2404.05997" class="paper-title">
Concept-Attention Whitening for Interpretable Skin Lesion Diagnosis
</a>
<div class="paper-authors">
Junlin Hou, <b>Jilan Xu</b>, Hao Chen
</div>
<div class="paper-venue">
<em>MICCAI 2024</em>
</div>
<div class="paper-links">
<a href="https://arxiv.org/pdf/2404.05997" class="tag">arXiv</a>
</div>
<p class="paper-desc">
An XAI framework that aligns the axes of the latent space with concepts of interest for interpretable skin lesion diagnosis.
</p>
</td>
</tr>
<tr class="paper-item">
<td style="padding:20px;width:10%;vertical-align:middle;">
<img src="images/anatomy.png" alt="anatomy" class="paper-img">
</td>
<td width="75%" valign="middle">
<a href="https://arxiv.org/abs/2403.09294" class="paper-title">
Anatomical structure-guided medical vision-language pre-training
</a>
<div class="paper-authors">
Qingqiu Li, Xiaohan Yan, <b>Jilan Xu</b>, Runtian Yuan, Yuejie Zhang, Rui Feng, Quanli Shen, Xiaobo Zhang, Shujun Wang
</div>
<div class="paper-venue">
<em>MICCAI 2024</em>
</div>
<div class="paper-links">
<a href="https://arxiv.org/pdf/2403.09294" class="tag">arXiv</a>
</div>
<p class="paper-desc">
An Anatomical Structure-Guided visual-text pre-training framework that leverages the anatomical knowledge.
</p>
</td>
</tr>
<tr class="paper-item">
<td style="padding:20px;width:10%;vertical-align:middle;">
<img src="images/cmcv2.png" alt="cmcv2" class="paper-img">
</td>
<td width="75%" valign="middle">
<a href="https://arxiv.org/abs/2211.14557" class="paper-title">
CMC_v2: Towards More Accurate COVID-19 Detection with Discriminative Video Priors
</a>
<div class="paper-authors">
Junlin Hou, <b>Jilan Xu</b>, Nan Zhang, Yi Wang, Yuejie Zhang, Xiaobo Zhang, Rui Feng
</div>
<div class="paper-venue">
<em>ECCV 2022 AIMIA Workshop</em>
</div>
<div class="paper-links">
<a href="https://arxiv.org/pdf/2211.14557.pdf" class="tag">arXiv</a>
<a href="https://github.com/houjunlin/Team-FDVTS-COVID-Solution" class="tag">code</a>
</div>
<p class="paper-desc">
A Transformer-based model with contrastive representation enhancement. Winner of the 2nd COVID-19 Detection in ECCV 2022.
</p>
</td>
</tr>
<tr class="paper-item">
<td style="padding:20px;width:10%;vertical-align:middle;">
<img src="images/tccnet.png" alt="tccnet" class="paper-img">
</td>
<td width="75%" valign="middle">
<a href="https://www.ijcai.org/proceedings/2022/0155.pdf" class="paper-title">
TCCNet: Temporally Consistent Context-Free Network for Semi-supervised Video Polyp Segmentation
</a>
<div class="paper-authors">
Xiaotong Li, <b>Jilan Xu</b>, Yuejie Zhang, Rui Feng, Rui-Wei Zhao, Tao Zhang, Xuequan Lu, Shang Gao
</div>
<div class="paper-venue">
<em>IJCAI 2022, Oral</em>
</div>
<div class="paper-links">
<a href="https://www.ijcai.org/proceedings/2022/0155.pdf" class="tag">paper</a>
</div>
<p class="paper-desc">
Co-training a model for semi-supervised video polyp segmentation, achieving comparable results using only 15% labeled data.
</p>
</td>
</tr>
<tr class="paper-item">
<td style="padding:20px;width:10%;vertical-align:middle;">
<img src="images/cmcv1.png" alt="cmcv1" class="paper-img">
</td>
<td width="75%" valign="middle">
<a href="https://openaccess.thecvf.com/content/ICCV2021W/MIA-COV19D/papers/Hou_CMC-COV19D_Contrastive_Mixup_Classification_for_COVID-19_Diagnosis_ICCVW_2021_paper.pdf" class="paper-title">
CMC-COV19D: Contrastive Mixup Classification for COVID-19 Diagnosis
</a>
<div class="paper-authors">
Junlin Hou*, <b>Jilan Xu*</b>, Rui Feng, Yuejie Zhang, Fei Shan, Weiya Shi
</div>
<div class="paper-venue">
<em>ICCV 2021, AIMIA Workshop</em>
</div>
<div class="paper-links">
<a href="https://openaccess.thecvf.com/content/ICCV2021W/MIA-COV19D/papers/Hou_CMC-COV19D_Contrastive_Mixup_Classification_for_COVID-19_Diagnosis_ICCVW_2021_paper.pdf" class="tag">paper</a>
<a href="https://github.com/houjunlin/Team-FDVTS-COVID-Solution" class="tag">code</a>
</div>
<p class="paper-desc">
A ResNest-50 model combined with contrastive mixup technique for 3D COVID-19 CT image classification. Winner of the 1st COVID-19 detection challenge.
</p>
</td>
</tr>
<tr class="paper-item">
<td style="padding:20px;width:10%;vertical-align:middle;">
<img src="images/drl.png" alt="drl" class="paper-img">
</td>
<td width="75%" valign="middle">
<a href="https://ieeexplore.ieee.org/document/9313159/#:~:text=Data-Efficient%20Histopathology%20Image%20Analysis%20with%20Deformation%20Representation%20Learning,are%20often%20expensive%20and%20laborious%20in%20realworld%20scenarios." class="paper-title">
Data-Efficient Histopathology Image Analysis with Deformation Representation Learning
</a>
<div class="paper-authors">
<b>Jilan Xu</b>, Junlin Hou, Yuejie Zhang, Rui Feng, Chunyang Ruan, Tao Zhang, Weiguo Fan
</div>
<div class="paper-venue">
<em>BIBM 2020, Oral</em>
</div>
<div class="paper-links">
<a href="https://ieeexplore.ieee.org/document/9313159/#:~:text=Data-Efficient%20Histopathology%20Image%20Analysis%20with%20Deformation%20Representation%20Learning,are%20often%20expensive%20and%20laborious%20in%20realworld%20scenarios." class="tag">paper</a>
</div>
<p class="paper-desc">
Introducing a self-supervised deformation representation learning technique for histopathology image analysis.
</p>
</td>
</tr>
<style>
.paper-item {
background: #fff;
border-radius: 12px;
box-shadow: 0 2px 6px rgba(0,0,0,0.08);
transition: transform 0.2s ease, box-shadow 0.2s ease;
}
.paper-item:hover {
transform: translateY(-3px);
box-shadow: 0 4px 12px rgba(0,0,0,0.12);
}
.paper-img {
width: 260px;
height: 195px;
object-fit: cover;
border-radius: 8px;
}
.paper-title {
font-size: 20px;
font-weight: 600;
color: #2c3e50;
text-decoration: none;
}
.paper-title:hover {
color: #007bff;
}
.paper-authors {
margin-top: 6px;
font-size: 15px;
color: #444;
}
.paper-venue {
margin-top: 4px;
font-size: 15px;
color: #555;
}
.paper-links {
margin-top: 6px;
}
.tag {
display: inline-block;
padding: 3px 8px;
margin-right: 6px;
font-size: 14px;
color: #fff;
background: #007bff;
border-radius: 6px;
text-decoration: none;
transition: background 0.2s;
}
.tag:hover {
background: #0056b3;
}
.paper-desc {
margin-top: 10px;
font-size: 15px;
color: #444;
line-height: 1.6;
}
</style>
</tbody></table>
</div>
<style>
@import url('https://fonts.googleapis.com/css2?family=Roboto:wght@400;700&display=swap');
img {
border-radius: 15px;
}
.tab {
overflow: hidden;
background-color: #f8f8f8;
font-family: 'Roboto', sans-serif;
}
.tab button {
background-color: inherit;
float: left;
border: none;
outline: none;
cursor: pointer;
padding: 14px 16px;
transition: 0.3s;
font-size: 18px;
font-weight: bold;
color: #333;
}
.tab button:hover {
background-color: #ddd;
}
.tab button.active {
background-color: #fff;
border-bottom: 3px solid #4CAF50;
}
.tabcontent {
display: none;
padding: 20px 0;
border: none;
}
.tabcontent table {
border: none;
}
</style>
<script>
function openTab(evt, tabName) {
var i, tabcontent, tablinks;
tabcontent = document.getElementsByClassName("tabcontent");
for (i = 0; i < tabcontent.length; i++) {
tabcontent[i].style.display = "none";
}
tablinks = document.getElementsByClassName("tablinks");
for (i = 0; i < tablinks.length; i++) {
tablinks[i].className = tablinks[i].className.replace(" active", "");
}
document.getElementById(tabName).style.display = "block";
evt.currentTarget.className += " active";
}
</script>
<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
</tbody>
</table>
<table width="100%" align="center" border="0" cellspacing="0" cellpadding="10">
<tbody>
<tr>
<td>
<h2 style="font-family: Arial, Helvetica, sans-serif; font-size: 22px; font-weight: 600; margin-bottom: 15px; color: #333;">
🏆 Awards & Honors
</h2>
<ul style="font-family: Arial, Helvetica, sans-serif; font-size: 16px; line-height: 1.8; color: #444; margin: 0; padding-left: 0; list-style: none;">
<li style="padding: 10px 15px; border-bottom: 1px solid #ddd; transition: background 0.3s;">
<b>Winner</b> of the <i>6th-COV19D Competition</i> Track 1 (Fair Disease Diagnosis Challenge) and Track 2 (Multi-Source COVID-19 Detection Challenge) @ <b>ICCV 2025</b>
</li>
<li style="padding: 10px 15px; border-bottom: 1px solid #ddd; transition: background 0.3s;">
<b>Winner of the 7 tracks</b> (Natural Language Queries, Visual Queries 2D, Short-term Object Interaction Anticipation, Long-term Action Anticipation, Body Pose, Domain Adaptation for Action Recognition) in the <i>1st EgoVis Workshop</i> @ <b>CVPR 2024</b>
</li>
<li style="padding: 10px 15px; border-bottom: 1px solid #ddd; transition: background 0.3s;">
<b>Winner</b> of the <i>4th-COV19D Competition</i> Track 2 (COVID19 Domain Adaptation Challenge) and <b>4th place</b> at Track 1 (COVID-19 Detection Challenge) @ <b>CVPR 2024</b>
</li>
<li style="padding: 10px 15px; border-bottom: 1px solid #ddd; transition: background 0.3s;">
<b>Winner</b> of the <i>MMAC Challenge</i> Track 1 (Classification of Myopic Maculopathy) and Track 2 (Segmentation of Myopic Maculopathy Plus Lesions) @ <b>MICCAI 2023</b>
</li>
<li style="padding: 10px 15px; border-bottom: 1px solid #ddd; transition: background 0.3s;">
<b>Winner</b> of the <i>1st & 2nd COVID-19 Detection Challenge</i> @ <b>ICCV 2021 & ECCV 2022</b>
</li>
<li style="padding: 10px 15px; border-bottom: 1px solid #ddd; transition: background 0.3s;">
<b>Winner</b> of the <i>1st COVID-19 Severity Detection Challenge</i> @ <b>ECCV 2022</b>
</li>
<li style="padding: 10px 15px; transition: background 0.3s;">
<b>VenusTech Enterprise Scholarship</b>
</li>
</ul>
<style>
ul li:hover {
background: #f5f7fa;
}
</style>
</td>
</tr>
</tbody>
</table>
<!-- 原来的竖排布局（已注释） -->
<!--
<table width="100%" align="center" border="0" cellspacing="0" cellpadding="20">
<tbody>
<tr>
<td>
<h2 style="font-family: Arial, Helvetica, sans-serif; font-size: 22px; font-weight: 600; margin-bottom: 20px; color: #333;">
💼 Working Experience
</h2>
<div class="experience-container">
<div class="experience-item">
<img src="images/shanghai-ai-lab-logo.png" class="company-logo" alt="Shanghai AI Laboratory Logo">
<div class="experience-content">
<div class="company">Shanghai AI Laboratory</div>
<div class="role">Research Intern</div>
<div class="supervisor">Supervised by Dr. Yifei Huang, Yi Wang and Prof. Yu Qiao</div>
</div>
</div>
<div class="experience-item">
<img src="images/bell-ai-logo.png" class="company-logo" alt="Bell AI Lab Logo">
<div class="experience-content">
<div class="company">Bell AI Lab, Shanghai</div>
<div class="role">Research Intern</div>
<div class="supervisor">Supervised by Dr. Chenhui Ye</div>
</div>
</div>
<div class="experience-item">
<img src="images/google-logo.png" class="company-logo" alt="Google Logo">
<div class="experience-content">
<div class="company">Google Winter AI Camp</div>
<div class="achievement">🏆 Best Presentation Award</div>
</div>
</div>
<div class="experience-item">
<img src="images/morgan-stanley-logo.png" class="company-logo" alt="Morgan Stanley Logo">
<div class="experience-content">
<div class="company">Morgan Stanley Technology</div>
<div class="role">Software Engineering Intern</div>
<div class="supervisor">Supervised by Ray Zhou</div>