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32 33<body> 34 <div class="container"> 35 36 37<section id="header-nav"> 38 <header> 39 <nav> 40 <ul> 41 42 <li class="current">Home</li> 43 <a href="/assets/pdfs/CV.pdf" target="_blank" rel="noopener noreferrer"> 44 <li class="btn-nav">CV</li> 45 </a> 46 <a href="/publications"> 47 <li class="btn-nav">Publications</li> 48 </a> 49 <a href="/teaching"> 50 <li class="btn-nav">Teaching</li> 51 </a> 52 53 </ul> 54 </nav> 55 </header> 56</section> 57 58 59 60 61 62</div><!-- This Tag means End .container --> 63<div id="portfolio"> 64 <section id="about-me"> 65 <div class="row"> 66 <div class="img-wrap col-12 col-md-4"> 67 <div class="img"> 68 <img src="/assets/img/myphoto.png" alt="user_image"> 69 </div> 70 </div> 71 <div class="text-wrap col-12 col-md-8"> 72 <h2 class="username">Jeova Farias Sales Rocha Neto</h2> 73 <div class="description"><p>I am an Assistant Professor of Computer Science at <
73a href="https://www.bowdoin.edu/">Bowdoin College</a>. Before that, I was a Visitor Professor in the Computer Science Department at <a href="https://www.haverford.edu/">Haverford College</a>. I received a PhD in Computer Engineering and a Masters in Applied Mathematics from <a href="https://www.brown.edu/">Brown University</a> in 2021, where I was advised by Prof. <a href="cs.brown.edu/people/pfelzens/">Pedro Felzenszwalb</a>. In 2015, I earned a Masters degree in Computer Science at <a href="unice.fr">University of Nice-Sophia Antipolis</a> under Prof. <a href="http://www.i3s.unice.fr/~am/Biography.html">Marc Antonini</a> and prior to that I completed my Bachelors degree in Computer Engineering at <a href="http://www.ufc.br">Federal University of Ceara (UFC)</a> under Prof. <a href="http://lattes.cnpq.br/5144730275745518">Fátima Medeiros</a>. <br /> <br /> I am broadly interested in unsupervised problems in Computer Vision and Machine Learning. In my current research, I am interested in using discrete optimization, statistics and deep learning to tackle Image Segmentation and Clustering. Previously, I worked on machine learning problems involving Probabilistic Graphical Models and Semidefinite Programming. In my undergrad years, my research focus was on Synthetic Aperture Radar and Biomedical Image Segmentation using Level Sets.</p> 74</div> 75 76 <ul id="icons"> 77 78 79<li> 80 <a href="mailto:%6A%65%6F%76%61_%66%61%72%69%61%73@%62%72%6F%77%6E.%65%64%75" title="Email"> 81 <i class="fas fa-envelope"></i> 82 </a> 83</li> 84 85 86 87 88 89<li> 90 <a href="https://scholar.google.com/citations?user=jpdvR1IAAAAJ&hl" title="Google Scholar"> 91 <i class="ai ai-google-scholar"></i> 92</li> 93 94 95 96 97 98 99 100<li> 101 <a href="https://www.linkedin.com/in/jeova-farias" title="Linkedin"> 102 <i class="fab fa-linkedin"></i> 103 </a> 104</li> 105 106 107 108<li> 109 <a href="https://github.com/jeovafarias" title="Github"> 110 <i class="fab fa-github"></i> 111 </a> 112</li> 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 </ul> 129 </div> 130 </div> 131 <div class="bg"></div> 132 </section> 133 <!-- career section --> 134 <section id="career" class="row"> 135 <article class="exper col-12 col-md-6"> 136 <p class="title">EDUCATION</p> 137<ul class="exper-list"> 138 139 <li class="meta"> 140 <p class="date">2016 – 2021</p> 141 <p class="description"><em>PhD in Computer Engineering + M. Sc. in Applied Mathematics</em></p> 142 <p class="university">Brown University (Providence, USA)</p> 143 144 </li> 145 146 <li class="meta"> 147 <p class="date">2014 – 2015</p> 148 <p class="description"><em>M. Sc. in Computer Science</em></p> 149 <p class="university">University of Nice-Sophia Antipolis (Nice, France)</p> 150 151 </li> 152 153 <li class="meta"> 154 <p class="date">2011 – 2015</p> 155 <p class="description"><em>B. Eng. in Telematics Engineering</em></p> 156 <p class="university">Federal University of Ceará (Fortaleza, Brazil)</p> 157 158 </li> 159 160</ul> 161 162 </article> 163 <article class="skills col-12 col-md-6"> 164 <!--<p class="title">CURRENT EMPLOYMENT</p> 165<ul class="interests-list"> 166 167 <li class="interest">Haverford College</li> 168 169 <li class="interest">Maxia</li> 170 171</ul>--> 172 173<p class="title">RESEARCH INTERESTS</p> 174<ul class="interests-list"> 175 176 <li class="interest">Statistical Learning for Image Segmentation.</li> 177 178 <li class="interest">Intepretable Spectral Clustering and Image Segmentation.</li> 179 180 <li class="interest">Fast Methods for Data Clustering.</li> 181 182 <li class="interest">Usupervised Deep Learning solutions for Image Segmentation and Clustering.</li> 183 184 <li class="interest">Applications level sets in Biomedical and SAR imagery.</li> 185 186 <li class="interest">Discrete Optimization using Graph-Cuts.</li> 187 188</ul> 189 190<!-- <p class="title">SKILLS</p> 191<ul class="skill-list"> 192 193 <li class="skill"> 194 <p class="name">Matlab</p> 195 <div class="progress"> 196 <div class="progress-bar" style="width: 90%"> 197 <div class="progress-value">90%</div> 198 </div> 199 </div> 200 </li> 201 202 <li class="skill"> 203 <p class="name">Python (Numpy, keras, Tensorflow, Pandas ...)</p> 204 <div class="progress"> 205 <div class="progress-bar" style="width: 85%"> 206 <div class="progress-value">85%</div> 207 </div> 208 </div> 209 </li> 210 211 <li class="skill"> 212 <p class="name">Latex</p> 213 <div class="progress"> 214 <div class="progress-bar" style="width: 80%"> 215 <div class="progress-value">80%</div> 216 </div> 217 </div> 218 </li> 219 220 <li class="skill"> 221 <p class="name">Java</p> 222 <div class="progress"> 223 <div class="progress-bar" style="width: 50%"> 224 <div class="progress-value">50%</div> 225 </div> 226 </div> 227 </li> 228 229</ul>--> 230 </article> 231 </section> 232 233 <section id="project"> 234 <div class="project-wrap"> 235 <p class="title">PROJECTS</p> 236 <div class="card-container"> 237 238 239 240 <div class="card-wrapper"> 241 <div class="card"> 242 243 <div class="img-wrap"> 244 <img src="/assets/project/level_set.png" alt=""> 245 </div> 246 247 <div class="text-wrap "> 248 <div class="title-wrap"> 249 <p class="date"></p> 250 <div class="title">Level Sets for Image Segmentation</div> 251 </div> 252 <div class="meta"> 253 254 </div> 255 <div class="description">Improving level set methods for image segmentation using local image statistics.</div> 256 </div> 257 <div class="icons"> 258 259 260 <a title="1" onClick="open_modal(this.title)" class="modal-btn"><i class="fas fa-plus"></i></a> 261 262 </div> 263 </div> 264 </div> 265 <!-- Modal Box --> 266 267 <div id="1" class="modal"> 268 <div class="modal-background" onClick="close_modal()"></div> 269 <div class="modal-content"> 270 <div class="close-modal" onClick="close_modal()"> 271 <p>×</p> 272 </div> 273 <div class="header"> 274 <p class="date"></p> 275 <p class="title">Level Sets for Image Segmentation</p> 276 <p class="summary"></p> 277 </div> 278 <div class="content"> 279 280 <img src="/assets/project/level_set.png" alt=""> 281 282 <div class="description">Improving level set methods for image segmentation using local image statistics.</div> 283 284 </div> 285 </div> 286</div> 287 288 <!-- Modal Box --> 289 290 291 292 <div class="card-wrapper"> 293 <div class="card"> 294 295 <div class="img-wrap"> 296 <img src="/assets/project/nmf.png" alt=""> 297 </div> 298 299 <div class="text-wrap "> 300 <div class="title-wrap"> 301 <p class="date"></p> 302 <div class="title">Statistical Color Model Estimation for Segmentation</div> 303 </div> 304 <div class="meta"> 305 306 </div> 307 <div class="description">Directly estimating segmentation appearence models from images using statitical techiniques, such as Non negative Matrix Factorization.</div> 308 </div> 309 <div class="icons"> 310 311 312 <a title="2" onClick="open_modal(this.title)" class="modal-btn"><i class="fas fa-plus"></i></a> 313 314 </div> 315 </div> 316 </div> 317 <!-- Modal Box --> 318 319 <div id="2" class="modal"> 320 <div class="modal-background" onClick="close_modal()"></div> 321 <div class="modal-content"> 322 <div class="close-modal" onClick="close_modal()"> 323 <p>×</p> 324 </div> 325 <div class="header"> 326 <p class="date"></p> 327 <p class="title">Statistical Color Model Estimation for Segmentation</p> 328 <p class="summary"></p> 329 </div> 330 <div class="content"> 331 332 <img src="/assets/project/nmf.png" alt=""> 333 334 <div class="description">Directly estimating segmentation appearence models from images using statitical techiniques, such as Non negative Matrix Factorization.</div> 335 336 </div> 337 </div> 338</div> 339 340 <!-- Modal Box --> 341 342 343 344 <div class="card-wrapper"> 345 <div class="card"> 346 347 <div class="img-wrap"> 348 <img src="/assets/project/graph_clustering.png" alt=""> 349 </div> 350 351 <div class="text-wrap "> 352 <div class="title-wrap"> 353 <p class="date"></p> 354 <div class="title">Spectral Clustering and Image Segmentation</div> 355 </div> 356 <div class="meta"> 357 358 </div> 359 <div class="description">Improving the classical spectral algorithms for real applications.</div> 360 </div> 361 <div class="icons"> 362 363 364 <a title="3" onClick="open_modal(this.title)" class="modal-btn"><i class="fas fa-plus"></i></a> 365 366 </div> 367 </div> 368 </div> 369 <!-- Modal Box --> 370 371 <div id="3" class="modal"> 372 <div class="modal-background" onClick="close_modal()"></div> 373 <div class="modal-content"> 374 <div class="close-modal" onClick="close_modal()"> 375 <p>×</p> 376 </div> 377 <div class="header"> 378 <p class="date"></p> 379 <p class="title">Spectral Clustering and Image Segmentation</p> 380 <p class="summary"></p> 381 </div> 382 <div class="content"> 383 384 <img src="/assets/project/graph_clustering.png" alt=""> 385 386 <div class="description">Improving the classical spectral algorithms for real applications.</div> 387 388 </div> 389 </div> 390</div> 391 392 <!-- Modal Box --> 393 394 395 396 <div class="card-wrapper"> 397 <div class="card"> 398 399 <div class="img-wrap"> 400 <img src="/assets/project/sar_seg.png" alt=""> 401 </div> 402 403 <div class="text-wrap "> 404 <div class="title-wrap"> 405 <p class="date"></p> 406 <div class="title">Statistical Learning on SAR Imagery</div> 407 </div> 408 <div class="meta"> 409 410 </div> 411 <div class="description">Using statistical techinques to improve SAR image understanding and segmentation.</div> 412 </div> 413 <div class="icons"> 414 415 416 <a title="4" onClick="open_modal(this.title)" class="modal-btn"><i class="fas fa-plus"></i></a> 417 418 </div> 419 </div> 420 </div> 421 <!-- Modal Box --> 422 423 <div id="4" class="modal"> 424 <div class="modal-background" onClick="close_modal()"></div> 425 <div class="modal-content"> 426 <div class="close-modal" onClick="close_modal()"> 427 <p>×</p> 428 </div> 429 <div class="header"> 430 <p class="date"></p> 431 <p class="title">Statistical Learning on SAR Imagery</p> 432 <p class="summary"></p> 433 </div> 434 <div class="content"> 435 436 <img src="/assets/project/sar_seg.png" alt=""> 437 438 <div class="description">Using statistical techinques to improve SAR image understanding and segmentation.</div> 439 440 </div> 441 </div> 442</div> 443 444 <!-- Modal Box --> 445 446 447 448 <div class="card-wrapper"> 449 <div class="card"> 450 451 <div class="img-wrap"> 452 <img src="/assets/project/graph_cut.png" alt=""> 453 </div> 454 455 <div class="text-wrap "> 456 <div class="title-wrap"> 457 <p class="date"></p> 458 <div class="title">Deep Learning for Data Clustering</div> 459 </div> 460 <div class="meta"> 461 462 </div> 463 <div class="description">New techinques for Deep Learning-bases clustering using Graph Cuts, CNNs and Transformers.</div> 464 </div> 465 <div class="icons"> 466 467 468 <a title="5" onClick="open_modal(this.title)" class="modal-btn"><i class="fas fa-plus"></i></a> 469 470 </div> 471 </div> 472 </div> 473 <!-- Modal Box --> 474 475 <div id="5" class="modal"> 476 <div class="modal-background" onClick="close_modal()"></div> 477 <div class="modal-content"> 478 <div class="close-modal" onClick="close_modal()"> 479 <p>×</p> 480 </div> 481 <div class="header"> 482 <p class="date"></p> 483 <p class="title">Deep Learning for Data Clustering</p> 484 <p class="summary"></p> 485 </div> 486 <div class="content"> 487 488 <img src="/assets/project/graph_cut.png" alt=""> 489 490 <div class="description">New techinques for Deep Learning-bases clustering using Graph Cuts, CNNs and Transformers.</div> 491 492 </div> 493 </div> 494</div> 495 496 <!-- Modal Box --> 497 498 499 500 <div class="card-wrapper"> 501 <div class="card"> 502 503 <div class="img-wrap"> 504 <img src="/assets/project/cnn.png" alt=""> 505 </div> 506 507 <div class="text-wrap "> 508 <div class="title-wrap"> 509 <p class="date"></p> 510 <div class="title">Deep Learning for Supervised and Unsupervised Image Segmentation</div> 511 </div> 512 <div class="meta"> 513 514 </div> 515 <div class="description">Creating new architecures and training startegies that leverage local and global image contents for both supervised and unsupervised segmentation.</div> 516 </div> 517 <div class="icons"> 518 519 520 <a title="6" onClick="open_modal(this.title)" class="modal-btn"><i class="fas fa-plus"></i></a> 521 522 </div> 523 </div> 524 </div> 525 <!-- Modal Box --> 526 527 <div id="6" class="modal"> 528 <div class="modal-background" onClick="close_modal()"></div> 529 <div class="modal-content"> 530 <div class="close-modal" onClick="close_modal()"> 531 <p>×</p> 532 </div> 533 <div class="header"> 534 <p class="date"></p> 535 <p class="title">Deep Learning for Supervised and Unsupervised Image Segmentation</p> 536 <p class="summary"></p> 537 </div> 538 <div class="content"> 539 540 <img src="/assets/project/cnn.png" alt=""> 541 542 <div class="description">Creating new architecures and training startegies that leverage local and global image contents for both supervised and unsupervised segmentation.</div> 543 544 </div> 545 </div> 546</div> 547 548 <!-- Modal Box --> 549 550 551 552 <div class="card-wrapper"> 553 <div class="card"> 554 555 <div class="img-wrap"> 556 <img src="/assets/project/gan.png" alt=""> 557 </div> 558 559 <div class="text-wrap "> 560 <div class="title-wrap"> 561 <p class="date"></p> 562 <div class="title">Psychological Perpectives in Deep Image Generation</div> 563 </div> 564 <div class="meta"> 565 566 </div> 567 <div class="description">Study of how certain patterns, such as biases, emerge in modern image generation algorithms.</div> 568 </div> 569 <div class="icons"> 570 571 572 <a title="7" onClick="open_modal(this.title)" class="modal-btn"><i class="fas fa-plus"></i></a> 573 574 </div> 575 </div> 576 </div> 577 <!-- Modal Box --> 578 579 <div id="7" class="modal"> 580 <div class="modal-background" onClick="close_modal()"></div> 581 <div class="modal-content"> 582 <div class="close-modal" onClick="close_modal()"> 583 <p>×</p> 584 </div> 585 <div class="header"> 586 <p class="date"></p> 587 <p class="title">Psychological Perpectives in Deep Image Generation</p> 588 <p class="summary"></p> 589 </div> 590 <div class="content"> 591 592 <img src="/assets/project/gan.png" alt=""> 593 594 <div class="description">Study of how certain patterns, such as biases, emerge in modern image generation algorithms.</div> 595 596 </div> 597 </div> 598</div> 599 600 <!-- Modal Box --> 601 602 603 604 <div class="card-wrapper"> 605 <div class="card"> 606 607 <div class="img-wrap"> 608 <img src="/assets/project/superpixel.png" alt=""> 609 </div> 610 611 <div class="text-wrap "> 612 <div class="title-wrap"> 613 <p class="date"></p> 614 <div class="title">Segmentation from Superpixels</div> 615 </div> 616 <div class="meta"> 617 618 </div> 619 <div class="description">Utilizing statistic
619al and graphical modeling for segmentation using superpixels.</div> 620 </div> 621 <div class="icons"> 622 623 624 <a title="8" onClick="open_modal(this.title)" class="modal-btn"><i class="fas fa-plus"></i></a> 625 626 </div> 627 </div> 628 </div> 629 <!-- Modal Box --> 630 631 <div id="8" class="modal"> 632 <div class="modal-background" onClick="close_modal()"></div> 633 <div class="modal-content"> 634 <div class="close-modal" onClick="close_modal()"> 635 <p>×</p> 636 </div> 637 <div class="header"> 638 <p class="date"></p> 639 <p class="title">Segmentation from Superpixels</p> 640 <p class="summary"></p> 641 </div> 642 <div class="content"> 643 644 <img src="/assets/project/superpixel.png" alt=""> 645 646 <div class="description">Utilizing statistical and graphical modeling for segmentation using superpixels.</div> 647 648 </div> 649 </div> 650</div> 651 652 <!-- Modal Box --> 653 654 655 656 <div class="card-wrapper"> 657 <div class="card"> 658 659 <div class="img-wrap"> 660 <img src="/assets/project/irt.png" alt=""> 661 </div> 662 663 <div class="text-wrap "> 664 <div class="title-wrap"> 665 <p class="date"></p> 666 <div class="title">Techiniques to Efficiently Measure Student Performnace</div> 667 </div> 668 <div class="meta"> 669 670 </div> 671 <div class="description">Finding algorithms that impronte the classical estimators for Item Respose Theory</div> 672 </div> 673 <div class="icons"> 674 675 676 <a title="9" onClick="open_modal(this.title)" class="modal-btn"><i class="fas fa-plus"></i></a> 677 678 </div> 679 </div> 680 </div> 681 <!-- Modal Box --> 682 683 <div id="9" class="modal"> 684 <div class="modal-background" onClick="close_modal()"></div> 685 <div class="modal-content"> 686 <div class="close-modal" onClick="close_modal()"> 687 <p>×</p> 688 </div> 689 <div class="header"> 690 <p class="date"></p> 691 <p class="title">Techiniques to Efficiently Measure Student Performnace</p> 692 <p class="summary"></p> 693 </div> 694 <div class="content"> 695 696 <img src="/assets/project/irt.png" alt=""> 697 698 <div class="description">Finding algorithms that impronte the classical estimators for Item Respose Theory</div> 699 700 </div> 701 </div> 702</div> 703 704 <!-- Modal Box --> 705 706 </div> 707 </div> 708 <div class="bg"></div> 709</section> 710 711<!-- modal -->
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712 713 714 <section id="recentpubs"> 715 <div class="recentpubs-wrap"> 716 <p class="title">RECENT PUBLICATIONS</p> 717 [<a class="btn" href="/publications" title="Publications">All Publications</a>] 718 <ol class="bibliography"><li><!-- Entry bib key --> 719<div id="wasserman2024patchbased"> 720 721 <!-- Title --> 722 <div class="title">Patch-Based Deep Unsupervised Image Segmentation using Graph Cuts</div> 723 <!-- Author --> 724 <div class="author">Wasserman, Isaac, and <em>Farias Sales Rocha Neto, Jeova</em> 725 726 </div> 727 728 <!-- Journal/Book title and date --> 729 730 <div class="third-line"> 731 2024 732 </div> 733</div></li> 734<li><!-- Entry bib key --> 735<div id="soemitro2024spectral"> 736 737 <!-- Title --> 738 <div class="title">Spectral Clustering of Categorical and Mixed-type Data via Extra Graph Nodes</div> 739 <!-- Author --> 740 <div class="author">Soemitro, Dylan, and <em>Farias Sales Rocha Neto, Jeova</em> 741 742 </div> 743 744 <!-- Journal/Book title and date --> 745 746 <div class="third-line"> 747 2024 748 </div> 749</div></li> 750<li><!-- Entry bib key --> 751<div id="palnitkar2023sparse"> 752 753 <!-- Title --> 754 <div class="title">A Sparse Graph Formulation for Efficient Spectral Image Segmentation</div> 755 <!-- Author --> 756 <div class="author">Palnitkar, Rahul, and <em>Farias Sales Rocha Neto, Jeova</em> 757 758 </div> 759 760 <!-- Journal/Book title and date --> 761 762 <div class="third-line"> 763 2023 764 </div> 765</div></li></ol> 766 </div> 767</section> 768</div> 769 770 771<!-- Footer --> 772<footer> 773 <div class="footer"> 774 Copyright © 2022 775 <a href=""></a>. 776 Powered by Jekyll and inspired by 777 <a href="https://github.com/chrjabs/Grape-Academic-Theme">Grape Academic Theme</a>. 778 </div> 779</footer> 780 781 </div> 782</body> 783 784</html>
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