-
Notifications
You must be signed in to change notification settings - Fork 1
/
index.html
469 lines (469 loc) · 20.9 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
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
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.1//EN"
"http://www.w3.org/TR/xhtml11/DTD/xhtml11.dtd">
<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en">
<head>
<meta name="generator" content="jemdoc, see http://jemdoc.jaboc.net/" />
<meta http-equiv="Content-Type" content="text/html;charset=utf-8" />
<link rel="stylesheet" href="jemdoc.css" type="text/css" />
<title>Anirban Chakraborty</title>
</head>
<body>
<div id="layout-content">
<div id="toptitle">
<h1>Anirban Chakraborty</h1>
</div>
<table class="imgtable"><tr><td>
<img src="https://github.com/vcl-iisc/vclab-website/blob/master/images/teampic/AnirbanChakraborty.png?raw=true" alt="alt text" width="155px" height="anirban-chakraborty.html" /> </td>
<td align="left"><p>Associate Professor<br />
Convenor, <a href="http://visual-computing.in">Visual Computing Lab</a><br />
Room no. 205<br />
<a href="http://cds.iisc.ac.in">Department of Computational and Data Sciences (CDS)</a><br />
<a href="http://www.iisc.ac.in">Indian Institute of Science (IISc)</a><br />
Bangalore, India 560012<br />
e-mail: firstname[at]iisc[dot]ac[dot]in</p>
</td></tr></table>
<p>I am an Associate Professor in the Department of Computational and Data Sciences (CDS), Indian Institute of Science, Bangalore and the convenor of the <a href="http://visual-computing.in">Visual Computing Lab (VCL)</a>. From December’16 to June’17, I worked as a researcher at Robert Bosch Research and Technology Centre, India. Prior to that, I was a research fellow in the <a href="https://www.ntu.edu.sg/rose">Rapid-Rich Object Search (ROSE)</a> Lab at Nanyang Technological University, Singapore working on large scale, deployable video surveillance systems. From October’14 to November’15, I worked as a post-doctoral fellow in the A*STAR-NUS <a href="http://www.circ.nus.edu.sg">Clinical Imaging Research Centre</a> at National University of Singapore. I completed my Ph.D. in Electrical Engineering from <a href="http://www.ucr.edu">University of California, Riverside</a> under the supervision of <a href="https://vcg.engr.ucr.edu/amit">Prof. Amit K. Roy-Chowdhury</a> in August, 2014. I obtained my M.S. from the same institute in 2010 and prior to that, my bachelors in Electrical Engineering from <a href="http://www.jaduniv.edu.in">Jadavpur University</a>, Kolkata, India.</p>
<p><a href="https://scholar.google.co.in/citations?user=NtAsZK-2HjcC&hl=en">[Google Scholar]</a> <a href="https://sg.linkedin.com/in/anirban-chakraborty-629a1833">[LinkedIn]</a> <a href="./cv/Curriculum_Vitae.pdf">[CV]</a> <a href="https://visual-computing.in/">[Visual Computing Lab]</a></p>
<h2>Research interests</h2>
<p>I am interested in developing novel computer vision and machine learning algorithms to solve visual analysis problems arising from diverse real-world applications. Majority of my current research can be categorized into three major thematic areas - </p>
<ul>
<li><p><b>Data-efficient & Privacy-preserving Deep Learning:</b> zero-shot/few-shot knowledge distillation, continual learning, source-free/unsupervised domain adaptation, data-free adversarial defense, federated learning under data heterogeneity etc.</p>
</li>
</ul>
<ul>
<li><p><b>Cross-modal Computer Vision:</b> text-based image retrieval, sketch-guided localization, scene-graph generation, visual question answering etc.</p>
</li>
</ul>
<ul>
<li><p><b>Perceiving Humans and their Actions:</b> robust and scalable person-reidentification, video anomaly detection, human gait and pose analysis etc.</p>
</li>
</ul>
<p>In the past, I have worked on biological and medical image analysis problems (e.g., registration, cell segmentation, spatio-temporal cell tracking, cell and tissue resolution 3D reconstruction of confocal image stacks, analysis of clinical MR and CT images etc.). I am also interested in data-association problems on graphs and their applications to visual analytics tasks.</p>
<h2>Journal Publications</h2>
<ul>
<li><p>Robust Few-shot Learning Without Using any Adversarial Samples<br />
G. K. Nayak, R. Rawal, I. Khatri, <b>A. Chakraborty</b><br />
IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 2024 [In Press]</p>
</li>
</ul>
<ul>
<li><p>Improving Domain Adaptation through Class Aware Frequency Transformation<br />
V. Kumar, H. Patil, R. Lal, <b>A. Chakraborty</b><br />
International Journal of Computer Vision (IJCV) (2023) 131(11):2888-2907</p>
</li>
</ul>
<ul>
<li><p>Multimodal Query-guided Object Localization<br />
A. Tripathi, R. R. Dani, A. Mishra, <b>A. Chakraborty</b><br />
Multimedia Tools and Applications(2023): 1-25</p>
</li>
</ul>
<ul>
<li><p>Mining Data Impressions from Deep Models as Substitute for the Unavailable Training Data<br />
G. K. Nayak, M. K. Reddy, S. Jain, <b>A. Chakraborty</b><br />
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) (2021) 44(11): 8465-8481</p>
</li>
</ul>
<ul>
<li><p>EvAn: Neuromorphic Event-Based Sparse Anomaly Detection<br />
A. Lakshmi, <b>A. Chakraborty</b>, C. S. Thakur<br />
Frontiers in Neuroscience (2022) 15 (2021): 853.</p>
</li>
</ul>
<ul>
<li><p>Robust Gait Based Human Identification on Incomplete and Multi-view Sequences<br />
U. Shreemali, <b>A. Chakraborty</b><br />
Multimedia Tools and Applications (2020) 80(7): 10141-10166.</p>
</li>
</ul>
<ul>
<li><p>PerSeg: Segmenting Salient Objects From Bag of Single Image Perturbations<br />
A. Majumder, R. Venkatesh Babu, <b>A. Chakraborty</b><br />
Multimedia Tools and Applications (2020) 79(3): 2473-2493.</p>
</li>
</ul>
<ul>
<li><p>Operator-in-the-Loop Deep Sequential Multi-Camera Feature Fusion for Person Re-Identification<br />
K. L. Navaneet, R. K. Sarvadevabhatla, S. Shekhar, R. Venkatesh Babu, <b>Anirban Chakraborty</b><br />
IEEE Transactions on Information Forensics & Security (2019) 15: 2375-2385</p>
</li>
</ul>
<ul>
<li><p>Neuromorphic vision: From sensors to event based algorithms<br />
A. Lakshmi, <b>A. Chakraborty</b>, C. S. Thakur<br />
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery (2019) 9(4): p.e1310.</p>
</li>
</ul>
<ul>
<li><p>Person Re-identification Using Multiple Egocentric Views<br />
<b>A. Chakraborty</b>, B. Mandal, J. Yuan<br />
IEEE Transactions on Circuits and Systems for Video Technology (2017) 27(3):484-498</p>
</li>
</ul>
<ul>
<li><p>Optimal Landmark Selection for Registration of 4D Confocal Image Stacks in Arabidopsis<br />
K. Mkrtchyan, <b>A. Chakraborty</b>, A. K. Roy-Chowdhury<br />
IEEE/ ACM Transactions on Computational Biology and Bioinformatics (2017) 14(2):457-467</p>
</li>
</ul>
<ul>
<li><p>Network Consistent Data Association<br />
<b>A. Chakraborty</b>, A. Das, A. K. Roy-Chowdhury<br />
IEEE Transactions on Pattern Analysis and Machine Intelligence (2016) 38(9):1859-1871</p>
</li>
</ul>
<ul>
<li><p>Context Aware Spatio-temporal Cell Tracking In Densely Packed Multilayer Tissues<br />
<b>A. Chakraborty</b>, A. K. Roy-Chowdhury<br />
Medical Image Analysis (2015) 19(1):149-163</p>
</li>
</ul>
<ul>
<li><p>A Context-Aware Delayed Agglomeration Framework for Electron Microscopy Segmentation<br />
T. Parag, <b>A. Chakraborty</b>, S. Plaza, L. Scheffer<br />
PLoS ONE (2015) 10(5): e0125825</p>
</li>
</ul>
<ul>
<li><p>Graph-based Active Learning of Agglomeration (GALA): a Python library to segment 2D and 3D neuroimages<br />
J. Nunez-Iglesias, R. Kennedy, S. M. Plaza, <b>A. Chakraborty</b>, W. T. Katz<br />
Frontiers in Neuroinformatics (2014) 8(00034)</p>
</li>
</ul>
<ul>
<li><p>Adaptive Geometric Tessellation for 3D Reconstruction of Anisotropically Developing Cells in Multilayer Tissues from Sparse Volumetric Microscopy Images<br />
<b>A. Chakraborty</b>, M. M. Perales, G. V. Reddy, A. K. Roy-Chowdhury<br />
PLoS ONE (2013) 8(8): e67202</p>
</li>
</ul>
<ul>
<li><p>Adaptive Cell Segmentation and Tracking for Volumetric Confocal Microscopy Images of A Developing Plant Meristem<br />
M. Liu*, <b>A. Chakraborty</b>*, D. Singh, M. Gopi, R. Yadav, G.V. Reddy, A. K. Roy-Chowdhury (* Jointly first authored)<br />
Molecular Plant (2011) 4(5): 922-931</p>
</li>
</ul>
<h2>Conference Publications</h2>
<ul>
<li><p>Enhancing 3D Referential Grounding by Learning Coarse Spatial Relationships<br />
S. Joshi, A. Tripathi, V. Gopalakrishnan, <b>A. Chakraborty</b><br />
International Conference on Pattern Recognition (ICPR), 2024 [Accepted]</p>
</li>
</ul>
<ul>
<li><p>Dynamic Data Selection for Efficient SSL via Coarse-to-Fine Refinement<br />
A. Tripathi, P. Shenoy, <b>A. Chakraborty</b><br />
European Conference on Computer Vision (ECCV), 2024</p>
</li>
</ul>
<ul>
<li><p>Data-free Defense of Black Box Models Against Adversarial Attacks<br />
G. K. Nayak, I. Khatri, R. Rawal, <b>A. Chakraborty</b><br />
IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPR-W), 2024</p>
</li>
</ul>
<ul>
<li><p>Sketch-guided Image Inpainting with Partial Discrete Diffusion Process<br />
N. Sharma, A. Tripathi, <b>A. Chakraborty</b>, A. Mishra<br />
IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPR-W), 2024</p>
</li>
</ul>
<ul>
<li><p>Query-guided Attention in Vision Transformers for Localizing Objects Using a Single Sketch<br />
A. Tripathi, A. Mishra, <b>A. Chakraborty</b><br />
Winter Conference on Applications of Computer Vision (WACV), 2024</p>
</li>
</ul>
<ul>
<li><p>Minimizing Layerwise Activation Norm Improves Generalization in Federated Learning<br />
M. Yashwanth, G. K. Nayak, H. Rangwani, A. Singh, R. V. Babu, <b>A. Chakraborty</b><br />
Winter Conference on Applications of Computer Vision (WACV), 2024</p>
</li>
</ul>
<ul>
<li><p>Edges to Shapes to Concepts: Adversarial Augmentation for Robust Vision<br />
A. Tripathi, R. Singh, <b>A. Chakraborty</b>, P. Shenoy<br />
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022</p>
</li>
</ul>
<ul>
<li><p>G-PReDICT: Generalizable Person Re-ID using Domain Invariant Contrastive Techniques<br />
C. Jambigi, U. Masud, <b>A. Chakraborty</b><br />
Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), 2022 (Oral)</p>
</li>
</ul>
<ul>
<li><p>Grounding Scene Graphs on Natural Images via Visio-Lingual Message Passing<br />
A. Tripathi, A. Mishra, <b>A. Chakraborty</b><br />
Winter Conference on Applications of Computer Vision (WACV), 2023</p>
</li>
</ul>
<ul>
<li><p>CoNMix for Source-free Single and Multi-target Domain Adaptation<br />
V. Kumar, R. Lal, H. Patil, <b>A. Chakraborty</b><br />
Winter Conference on Applications of Computer Vision (WACV), 2023</p>
</li>
</ul>
<ul>
<li><p>DE-CROP: Data-efficient Certified Robustness for Pretrained Classifiers<br />
G. K. Nayak, R. Rawal, <b>A. Chakraborty</b><br />
Winter Conference on Applications of Computer Vision (WACV), 2023</p>
</li>
</ul>
<ul>
<li><p>Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation<br />
J. N. Kundu, S. Seth, Y. M. Pradyumna, V. Jampani, <b>A. Chakraborty</b>, R. Venkatesh Babu<br />
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022</p>
</li>
</ul>
<ul>
<li><p>Holistic Approach to Measure Sample-level Adversarial Vulnerability and its Utility in Building Trustworthy Systems<br />
G. K. Nayak, R. Rawal, R. Lal, H. Patil, <b>A. Chakraborty</b><br />
IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPR-W), 2022</p>
</li>
</ul>
<ul>
<li><p>DAD: Data-free Adversarial Defense at Test Time<br />
G. K. Nayak, R. Rawal, <b>A. Chakraborty</b><br />
Winter Conference on Applications of Computer Vision (WACV), 2022</p>
</li>
</ul>
<ul>
<li><p>Non-local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation<br />
J. N. Kundu, S. Seth, A. Jamkhandi, Y. M. Pradyumna, V. Jampani, <b>A. Chakraborty</b>, R. Venkatesh Babu<br />
Advances in Neural Information Processing Systems (NeurIPS), 2021.</p>
</li>
</ul>
<ul>
<li><p>MMD-ReID: A Simple but Effective Solution for Visible-Thermal Person ReID<br />
C. Jambigi, R. Rawal, <b>A. Chakraborty</b><br />
British Machine Vision Conference (BMVC), 2021 (Oral)</p>
</li>
</ul>
<ul>
<li><p>Pose Transformation and Radial Distance Clustering for Unsupervised Person Re-identification<br />
S. Seth, A. Sonth, <b>A. Chakraborty</b><br />
British Machine Vision Conference (BMVC), 2021</p>
</li>
</ul>
<ul>
<li><p>Incremental Learning for Animal Pose Estimation using RBF k-DPP<br />
G. K. Nayak, H. Shah, <b>A. Chakraborty</b><br />
British Machine Vision Conference (BMVC), 2021</p>
</li>
</ul>
<ul>
<li><p>Beyond Classification: Knowledge Distillation using Multi-Object Impressions<br />
G. K. Nayak, M. Keswani, S. Seshadri, <b>A. Chakraborty</b><br />
British Machine Vision Conference (BMVC), 2021</p>
</li>
</ul>
<ul>
<li><p>Multi-Domain Conditional Image Translation: Translating Driving Datasets from Clear-Weather to Adverse Conditions<br />
V. Vinod, K. Ram Prabhakar, R. Venkatesh Babu, <b>A. Chakraborty</b><br />
International Conference on Computer Vision Workshops (ICCV-W), 2021</p>
</li>
</ul>
<ul>
<li><p>CAFT: Class Aware Frequency Transform for Reducing Domain Gap<br />
V. Kumar, S. Srivastava, R. Lal, <b>A. Chakraborty</b><br />
International Conference on Computer Vision Workshops (ICCV-W), 2021</p>
</li>
</ul>
<ul>
<li><p>Real-Time Object Detection and Localization in Compressive Sensed Video<br />
Y. Bethi, S. Narayanan, V. Rangan, <b>A. Chakraborty</b>, C. S. Thakur<br />
International Conference on Image Processing (ICIP), 2021</p>
</li>
</ul>
<ul>
<li><p>Effectiveness of Arbitrary Transfer Sets for Data Free Knowledge Distillation<br />
G. K. Nayak, M. K. Reddy, <b>A. Chakraborty</b><br />
Winter Conference on Applications of Computer Vision (WACV), 2021</p>
</li>
</ul>
<ul>
<li><p>HFCER: Hybrid Fusion for Cultural Event Recognition in Images<br />
S. Srivastava, B. Mandal, <b>A. Chakraborty</b><br />
International Conference of Pattern Recognition Systems (ICPRS), 2021</p>
</li>
</ul>
<ul>
<li><p>Automated Crowd Parameter Estimation and Crowd Movement Analysis in Kumbh Mela<br />
N. Choubey, A. Verma, <b>A. Chakraborty</b><br />
Proceedings of the Sixth International Conference of Transportation Research Group of India (CTRG), 2021</p>
</li>
</ul>
<ul>
<li><p>Density Estimation of Heterogeneous Crowd in Mass Religious Gatherings Using Image Processing and Denoising Filter<br />
N. Choubey, A. K. Prajapati, A. Verma, <b>A. Chakraborty</b><br />
Soft Computing for Problem Solving (SocProS), Advances in Intelligent Systems and Computing, 2021.</p>
</li>
</ul>
<ul>
<li><p>WAMDA: Weighted Alignment of Sources for Multi-source Domain Adaptation<br />
S. Aggarwal, J. N. Kundu, R. Venkatesh Babu, <b>A. Chakraborty</b><br />
British Machine Vision Conference (BMVC), 2020 (Oral)</p>
</li>
</ul>
<ul>
<li><p>Fusion of Deep and Non-Deep Methods for Fast Super-Resolution of Satellite Images<br />
G. K. Nayak, S. Jain, R. Venkatesh Babu, <b>A. Chakraborty</b><br />
IEEE International Conference on Multimedia Big Data (BigMM), 2020 (Oral)</p>
</li>
</ul>
<ul>
<li><p>Sketch-Guided Object Localization in Natural Images<br />
A. Tripathi, R. R. Dani, A. Mishra, <b>A. Chakraborty</b><br />
European Conference on Computer Vision (ECCV), 2020 (Spotlight)</p>
</li>
</ul>
<ul>
<li><p>Self-Supervised 3D Human Pose Estimation Via Part Guided Novel Image Synthesis<br />
J. N. Kundu*, S. Seth*, V. Jampani, R. Mugalodi, R. Venkatesh Babu, <b>A. Chakraborty</b> (* Jointly first authored)<br />
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 (Oral)</p>
</li>
</ul>
<ul>
<li><p>Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation<br />
J. N. Kundu*, S. Seth*, R. M. Venkatesh*, R. Mugalodi, R. Venkatesh Babu, <b>A. Chakraborty</b> (* Jointly first authored)<br />
Conference of the American Association for Artificial Intelligence (AAAI), 2020 (Oral)</p>
</li>
</ul>
<ul>
<li><p>S. Addepalli, G. K. Nayak, <b>A. Chakraborty</b>, R. Venkatesh Babu<br />
DeGAN : Data-enriching GAN for retrieving Representative Samples from a Trained Classifier<br />
Conference of the American Association for Artificial Intelligence (AAAI), 2020</p>
</li>
</ul>
<ul>
<li><p>Text-based Person Search via Attribute-aided Matching<br />
S. Aggarwal, R. Venkatesh Babu, <b>A. Chakraborty</b><br />
Winter Conference on Applications of Computer Vision (WACV), 2020</p>
</li>
</ul>
<ul>
<li><p>QUICKSAL: A small and sparse visual saliency model for efficient inference in resource constrained hardware<br />
V. Ramanathan, P. Dwivedi, B. Katabathuni, <b>A. Chakraborty</b>, C. S. Thakur<br />
Winter Conference on Applications of Computer Vision (WACV), 2020</p>
</li>
</ul>
<ul>
<li><p>From Strings to Things: Knowledge-enabled VQA Model that can Read and Reason<br />
A. K. Singh, A. Mishra, S. Shekhar, <b>A. Chakraborty</b><br />
International Conference on Computer Vision (ICCV), 2019 (Oral)</p>
</li>
</ul>
<ul>
<li><p>Zero Shot Knowledge Distillation in Deep Networks<br />
G. K. Nayak*, M. K. Reddy*, V. Shaj*, R. Venkatesh Babu, <b>A. Chakraborty</b> (* Jointly first authored)<br />
International Conference on Machine Learning (ICML), 2019</p>
</li>
</ul>
<ul>
<li><p>OCR-VQA: Visual Question Answering by Reading Text in Images<br />
A. Mishra, S. Shekhar, A. K. Singh, <b>A. Chakraborty</b><br />
International Conference on Document Analysis and Recognition (ICDAR), 2019</p>
</li>
</ul>
<ul>
<li><p>Efficient Person Re-identification in Videos Using Sequence Lazy Greedy Determinantal Point Process (SLGDPP)<br />
G. K. Nayak, U. Shreemali, R. Venkatesh Babu, <b>A. Chakraborty</b><br />
International Conference on Image Processing (ICIP), 2019</p>
</li>
</ul>
<ul>
<li><p>Enhancing Salient Object Segmentation Through Attention<br />
A. Pahuja, A. Majumder, <b>A. Chakraborty</b>, R. Venkatesh Babu<br />
Computer Vision and Pattern Recognition Workshops (Deep Vision), 2019</p>
</li>
</ul>
<ul>
<li><p>All for One: Frame-wise Rank Loss for Improving Video-based Person Re-identification<br />
Navaneet, K. L., V. Todi, R. Venkatesh Babu, <b>A. Chakraborty</b><br />
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019 (Oral)</p>
</li>
</ul>
<ul>
<li><p>n-HAR: A Neuromorphic Event-Based Human Activity Recognition System Using Memory Surfaces<br />
B. R. Pradhan, Y. Bethi, S. Narayanan, <b>A. Chakraborty</b>, C. S. Thakur<br />
IEEE International Symposium on Circuits and Systems (ISCAS), 2019</p>
</li>
</ul>
<ul>
<li><p>Anomaly from Motion: Unsupervised Extraction of Visual Irregularity via Motion Prediction<br />
A. Majumder, R. Venkatesh Babu, <b>A. Chakraborty</b><br />
NCVPRIPG, 2017 (Oral)</p>
</li>
</ul>
<ul>
<li><p>Person Re-identification Using Multiple First-Person-Views on Wearable Devices<br />
<b>A. Chakraborty</b>, B. Mandal, H. K. Galoogahi<br />
Winter Conference on Applications of Computer Vision (WACV), 2016</p>
</li>
</ul>
<ul>
<li><p>A Poisson Process Model for Activity Forecasting<br />
T. Mahmud, M. Hasan, <b>A. Chakraborty</b>, A. K. Roy-Chowdhury<br />
International Conference on Image Processing (ICIP), 2016</p>
</li>
</ul>
<ul>
<li><p>Consistent Re-identification in a Camera Network<br />
A. Das*, <b>A. Chakraborty</b>*, A. K. Roy-Chowdhury (* Jointly first authored)<br />
European Conference on Computer Vision (ECCV), 2014</p>
</li>
</ul>
<ul>
<li><p>Context-Aware Activity Forecasting<br />
<b>A. Chakraborty</b>, A. K. Roy-Chowdhury<br />
Asian Conference on Computer Vision (ACCV), 2014.</p>
</li>
</ul>
<ul>
<li><p>A Conditional Random Field Model For Tracking In Densely Packed Cell Structures<br />
<b>A. Chakraborty</b>, A. K. Roy-Chowdhury<br />
IEEE International Conference on Image Processing (ICIP), 2014.</p>
</li>
</ul>
<ul>
<li><p>Automated registration of live imaging stacks of Arabidopsis<br />
K. Mkrtchyan, <b>A. Chakraborty</b>, A. K. Roy-Chowdhury<br />
International Symposium on Biomedical Imaging (ISBI), 2013</p>
</li>
</ul>
<ul>
<li><p>Cell Resolution 3D Reconstruction of Developing Multilayer Tissues from Sparsely Sampled Volumetric Microscopy Images<br />
<b>A. Chakraborty</b>, R. Yadav, G. V. Reddy, A. K. Roy-Chowdhury<br />
International Conference on Bioinformatics and Biomedicine (BIBM), 2011 (Oral)</p>
</li>
</ul>
<ul>
<li><p>Cell Volume Estimation From A Sparse Collection of Noisy Confocal Image Slices<br />
<b>A. Chakraborty</b>, M. Liu, K. Mkrtchyan, G. V. Reddy, A. K. Roy-Chowdhury<br />
Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), 2010.</p>
</li>
</ul>
<h2>Courses Taught</h2>
<ul>
<li><p>Introduction to Data Science [DS 215] : Aug 2022, Aug 2023, Aug 2024</p>
</li>
</ul>
<ul>
<li><p>Topics in Visual Analytics [DS 363] : Aug 2024 (with <a href="https://cds.iisc.ac.in/faculty/venky/">Prof. R. Venkatesh Babu</a>)</p>
</li>
</ul>
<ul>
<li><p>Data Analysis and Visualization [DS 294] : Jan 2022, Jan 2020, Jan 2018</p>
</li>
</ul>
<ul>
<li><p>Video Analytics [DS 263] : Aug 2021, Aug 2019 (with <a href="https://cds.iisc.ac.in/faculty/venky/">Prof. R. Venkatesh Babu</a>)</p>
</li>
</ul>
<ul>
<li><p>Deep Learning for Computer Vision [DS 265] : Jan 2020 (with <a href="https://cds.iisc.ac.in/faculty/venky/">Prof. R. Venkatesh Babu</a>)</p>
</li>
</ul>
</div>
</body>
</html>