1<!doctype html> 2 3<html lang="en"> 4 <head> 5 <meta charset="utf-8"> 6 <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"> 7 <meta name="description" content="XXX"> 8 <meta name="author" content="XXX"> 9 <meta name="generator" content="XXX"> 10 <title>ECVA | European Computer Vision Association</title> 11 <link rel="canonical" href="https://getbootstrap.com/docs/4.5/examples/eccva/"> 12 <link href="./assets/dist/css/bootstrap.css" rel="stylesheet"> 13 <link href="https://cdn.mpi-klsb.mpg.de/google/css/quicksand-v29.css" rel="stylesheet"> 14<!--?family=Quicksand:wght@300;400;500;600;700&display=swap" rel="stylesheet">--> 15 <link href="./css/ecva.css" rel="stylesheet"> 16
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16 17 </head> 18 <body> 19 20 <div class="d-flex flex-column flex-md-row align-items-center p-3 px-md-4 mb-3 py-6 bg-white"> 21 <div class="container"> 22 <div class="row"> 23 <h5 class="my-0 mr-md-auto"><img width="100px" src="./src/img/ECVAlogo.png" alt="ECVA logo"></h5> 24 <nav class="my-2"> 25 <a class="p-2 text-dark menu-item" href="index.php">Home</a> 26 <a class="p-2 text-dark menu-item" href="index.php#about">About</a> 27 <a class="p-2 text-dark menu-item" href="index.php#conferences">Conferences</a> 28 <a class="p-2 text-dark menu-item" href="index.php#awards">Awards</a> 29 <a class="p-2 text-dark menu-item" href="index.php#board">Board</a> 30 <a class="p-2 text-dark menu-item" href="papers.php">Papers</a> 31 <a class="p-2 text-dark menu-item" href="sponsorship.php">Sponsorship</a> 32<!-- <a class="p-2 text-dark menu-item" href="archive.php">Archive</a> --> 33 <a class="p-2 text-dark menu-item" href="intern/intern.php">Intern</a> 34 </nav> 35 </div> 36 </div> 37 </div> 38 <main role="main"> 39 <div class="container-fluid"> 40 <div class="row"> 41 <div class="col header-image" > 42 <img src="./src/img/ECVAheader.png" width="100%" alt="ECVA"> 43 </div> 44 </div> 45 </div> 46</div> 47<div class="py-6"> 48 <div id="about" class="container"> 49 <div class="row"> 50 <div class="col"> 51 <h2>About</h2> 52 <p class="pr-15">Welcome to the homepage of the âEuropean Computer Vision Association (ECVA)â, a non-profit organization domiciled in Zurich. 53 The Associationâs mission is the furthering of information dissemination concerning research on the theory and practice of computer vision. It will promote the field and its researchers by the organisation of dedicated activities.</p> 54 </div> 55 </div> 56 </div> 57</div> 58<div class="py-6 bg-beige"> 59 <div id="conferences" class="container"> 60 <div class="row"> 61 <div class="col"> 62 <h2>Conferences</h2> 63 <p class="pr-15">ECVA will, inter alia, carry out activities to organise the European Conference on Computer Vision (ECCV) series and support the organisers of the ECCV both scientifically and logistically. Below you will find an overview of some past, current and future ECCV conferences for further information.</p> 64 <table> 65 <thead> 66 <tr> 67 <th>ECCV</th> 68 <th>City</th> 69 <th>General Chairs</th> 70 <th>Program Chairs</th> 71 <th>Website</th> 72 <th>Papers</th> 73 </tr> 74 </thead> 75 <tbody> 76 <td>2024</td> 77 <td>Milan</td> 78 <td>L. Leal-Taixe, A, Fitzgibbon, V. Murino</td> 79 <td>A. Leonardis, E. Ricci, S. Roth, O. Russakovsky, T. Sattler, G. Varol</td><td> 80 <a href="https://eccv2024.ecva.net" target="_blank">https://eccv2024.ecva.net</a></td> 81 <td> 82 <a href="./papers.php"> 83 <img width="15px" src="./src/img/pdf-icon.svg" alt="papers"> 84 </a> 85 </td> 86 <td> 87 <!-- <a href="./archive/eccv_2020.php"> 88 <img width="15px" src="./src/img/archive-icon.svg" alt="archive"> 89 </a> --> 90 </td> 91 </tr> 92 <tr> 93 <td>2022</td> 94 <td>Tel Aviv</td> 95 <td>Rita Cucchiara, Jiri Matas, Amnon Shashua, Lihi Zelnik-Manor</td> 96 <td>Shai Avidan, Gabriel Brostow, Giovanni Maria Farinella, Tal Hassner</td><td> 97 <a href="https://eccv2022.ecva.net" target="_blank">https://eccv2022.ecva.net</a></td> 98 <td> 99 <a href="./papers.php"> 100 <img width="15px" src="./src/img/pdf-icon.svg" alt="papers"> 101 </a> 102 </td> 103 <td> 104 <!-- <a href="./archive/eccv_2020.php"> 105 <img width="15px" src="./src/img/archive-icon.svg" alt="archive"> 106 </a> --> 107 </td> 108 </tr> 109 <tr> 110 <td>2020</td> 111 <td>Glasgow, Scotland</td> 112 <td>Bob Fisher, Emanuele Trucco, Vittorio Ferrari, Cordelia Schmid</td> 113 <td>Andrea Vedaldi, Jan Michael Frahm, Thomas Brox, Horst Bischof</td><td> 114 <a href="http://eccv2020.eu" target="_blank">http://eccv2020.eu</a></td> 115 <td> 116 <a href="./papers.php"> 117 <img width="15px" src="./src/img/pdf-icon.svg" alt="papers"> 118 </a> 119 </td> 120 <td> 121 <!-- <a href="./archive/eccv_2020.php"> 122 <img width="15px" src="./src/img/archive-icon.svg" alt="archive"> 123 </a> --> 124 </td> 125 </tr> 126 <tr> 127 <td>2018</td> 128 <td>Munich, Germany</td> 129 <td>Horst Bischof, Daniel Cremers, Bernt Schiele, Ramin Zabih</td> 130 <td>Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss</td> 131 <td><a href="https://eccv2018.org<" target="_blank">https://eccv2018.org</a></td> 132 <td> 133 <a href="./papers.php"> 134 <img width="15px" src="./src/img/pdf-icon.svg" alt="papers"> 135 </a> 136 </td> 137 <td> 138 <!-- <a href="./archive/eccv_2018.php"> 139 <img width="15px" src="./src/img/archive-icon.svg" alt="archive"> 140 </a> --> 141 </td> 142 </tr> 143 <tr> 144 <td>2016</td> 145 <td>Amsterdam, Netherlands</td> 146 <td>Theo Gevers, Arnold Smeulders</td> 147 <td>Jiri Matas, Bastian Leibe, Max Welling, Nicu Sebe</td> 148 <td><a href="http://www.eccv2016.org" target="_blank">http://www.eccv2016.org</a></td> 149 <td> 150 <!-- <a href="./papers/eccv_2016.php"> 151 <img width="15px" src="./src/img/pdf-icon.svg" alt="papers"> 152 </a> --> 153 </td> 154 <td> 155 <!-- <a href="./archive/eccv_2016.php"> 156 <img width="15px" src="./src/img/archive-icon.svg" alt="archive"> 157 </a> --> 158 </td> 159 </tr> 160 <tr> 161 <td>2014</td> 162 <td>Zürich, Switzerland</td> 163 <td>Luc Van Gool, Marc Pollefeys</td> 164 <td>Tinne Tuytelaars, Bernt Schiele, Tomas Pajdla, David Fleet</td> 165 <td><a href="http://eccv2014.org" target="_blank">http://eccv2014.org</a></td> 166 <td> 167 <!-- <a href="./papers/eccv_2014.php"> 168 <img width="15px" src="./src/img/pdf-icon.svg" alt="papers"> 169 </a> --> 170 </td> 171 <td> 172 <!-- <a href="./archive/eccv_2014.php"> 173 <img width="15px" src="./src/img/archive-icon.svg" alt="archive"> 174 </a> --> 175 </td> 176 </tr> 177 <tr> 178 <td>2012</td> 179 <td>Firenze, Italy</td> 180 <td>
180Roberto Cipolla, Carlo Colombo, Alberto Del Bimbo</td> 181 <td>Andrew Fitzgibbon, Svetlana Lazebnik, Yoichi Sato, Cordelia Schmid</td> 182 <td><a href="https://eccv2012.unifi.it" target="_blank">https://eccv2012.unifi.it</a></td> 183 <td> 184 <!-- <a href="./papers/eccv_2012.php"> 185 <img width="15px" src="./src/img/pdf-icon.svg" alt="papers"> 186 </a> --> 187 </td> 188 <td> 189 <!-- <a href="./archive/eccv_2012.php"> 190 <img width="15px" src="./src/img/archive-icon.svg" alt="archive"> 191 </a> --> 192 </td> 193 </tr> 194 <tr> 195 <td>2010</td> 196 <td>Crete, Greece</td> 197 <td>Antonis Argyros, Panos Trahanias, George Tziritas</td> 198 <td>Kostas Daniilidis, Petros Maragos, Nikos Paragios</td> 199 <td><a href="https://www.ics.forth.gr/eccv2010" target="_blank">https://www.ics.forth.gr/eccv2010</a></td> 200 <td> 201 <!-- <a href="./papers/eccv_2010.php"> 202 <img width="15px" src="./src/img/pdf-icon.svg" alt="papers"> 203 </a> --> 204 </td> 205 <td> 206 <!-- <a href="./archive/eccv_2010.php"> 207 <img width="15px" src="./src/img/archive-icon.svg" alt="archive"> 208 </a> --> 209 </td> 210 </tr> 211 <tr> 212 <td>2008</td> 213 <td>Marseille, France</td> 214 <td>Jean Ponce</td> 215 <td>David Forsyth, Philip Torr, Andrew Zisserman</td> 216 <td><a href="http://eccv2008.inrialpes.fr" target="_blank">http://eccv2008.inrialpes.fr </a></td> 217 <td> 218 <!-- <a href="./papers/eccv_2008.php"> 219 <img width="15px" src="./src/img/pdf-icon.svg" alt="papers"> 220 </a> --> 221 </td> 222 <td> 223 <!-- <a href="./archive/eccv_2008.php"> 224 <img width="15px" src="./src/img/archive-icon.svg" alt="archive"> 225 </a> --> 226 </td> 227 </tr> 228 <tr> 229 <td>2006</td> 230 <td>Graz, Austria</td> 231 <td>Axel Pinz</td> 232 <td>Horst Bischof, Ales Leonardis</td> 233 <td><a href="http://eccv2006.tugraz.at" target="_blank">http://eccv2006.tugraz.at</a></a></td> 234 <td> 235 <!-- <a href="./papers/eccv_2006.php"> 236 <img width="15px" src="./src/img/pdf-icon.svg" alt="papers"> 237 </a> --> 238 </td> 239 <td> 240 <!-- <a href="./archive/eccv_2006.php"> 241 <img width="15px" src="./src/img/archive-icon.svg" alt="archive"> 242 </a> --> 243 </td> 244 </tr> 245 <tr> 246 <td>2004</td> 247 <td>Prague, Czech Republic</td> 248 <td>Vaclav Hlavac</td> 249 <td>Tomas Pajdla, Jiri (George) Matas</td> 250 <td><a href="http://cmp.felk.cvut.cz/eccv2004/" target="_blank">http://cmp.felk.cvut.cz/eccv2004/</a></td> 251 <td> 252 <!-- <a href="./papers/eccv_2004.php"> 253 <img width="15px" src="./src/img/pdf-icon.svg" alt="papers"> 254 </a> --> 255 </td> 256 <td> 257 <!-- <a href="./archive/eccv_2004.php"> 258 <img width="15px" src="./src/img/archive-icon.svg" alt="archive"> 259 </a> --> 260 </td> 261 </tr> 262 </tbody> 263 </table> 264 </div> 265 </div> 266 </div> 267</div> 268<div class="py-6"> 269 <div id="awards" class="container"> 270 <div class="row"> 271 <div class="col"> 272 <h2>ECCV Awards</h2> 273 <p class="pr-15">Below a comprehensive listing of ECCV awards since 2004.</p> 274 <div class="py-1 row"> 275 <div class="col"> 276 <button class="accordion" onclick="$(this).next('.accordion-content').slideToggle()">ECCV 2024</button> 277 <div class="accordion-content"> 278 <h3> Best Paper Awards</h3> 279 <strong>Jeremy Klotz, Shree Nayar</strong> 280 <p>Minimalist Vision with Freeform Pixels</p> 281 <h3>Best Paper Awards â Honorable Mention</h3> 282 <strong>Vitali Petsiuk, Kate Saenko</strong> 283 <p>Concept Arithmetics for Circumventing Concept Inhibition in Diffusion Models</p> 284 <strong>Stanislav Pidhorskyi, Tomas Simon, Gabriel Schwartz, He Wen, Yaser Sheikh, Jason Saragih</strong> 285 <p>Rasterized Edge Gradients: Handling Discontinuities Differentially</p> 286 <h3>PAMI Everingham Prize</h3> 287 <strong>The CelebA Team 288 <br> 289 Ziwei Liu, Ping Luo, Xiaogang Wang, Xiaoou Tang 290 </strong> 291 <p>for a family of datasets that has accelerated the progress in generative image modeling and many other tasks</p> 292 <strong>David Forsyth</strong> 293 <p>for continual advice and wisdom in overseeing the computer vision community's conferences and journals</p> 294 <h3>Koenderink Prize</h3> 295 <strong>Jakob Engel, Thomas Schöps, Daniel Cremers</strong> 296 <p>
296LSD-SLAM: Large-Scale Direct Monocular SLAM</p> 297 <strong>Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, C. Lawrence Zitnick</strong> 298 <p>Microsoft COCO: Common Objects in Context</p> 299 </div> 300 </div> 301 <div class="col"> 302 </div> 303 </div> 304 <div class="py-1 row"> 305 <div class="col"> 306 <button class="accordion" onclick="$(this).next('.accordion-content').slideToggle()">ECCV 2022</button> 307 <div class="accordion-content"> 308 <h3>Best Paper Awards</h3> 309 <strong>Xingjian Zhen, Zihang Meng, Rudrasis Chakraborty, Vikas Singh </strong> 310 <p>On the Versatile Uses of Partial Distance Correlation in Deep Learning </p> 311 <h3>Best Paper Awards â Honorable Mention</h3> 312 <strong>Ishit Mehta, Manmohan Chandraker, Ravi Ramamoorthi</strong> 313 <p>A Level Set Theory for Neural Implicit Evolution under Explicit Flows </p> 314 <strong>Garvita Tiwari, Dimitrije Antic, Jan E. Lenssen, Nikolaos Sarafianos, Tony Tung, Gerard Pons-Moll </strong> 315 <p>Pose-NDF: Modelling Human Pose Manifolds with Neural Distance Fields </p> 316 <h3>Everingham Prize</h3> 317 <strong>Walter J. Scheirer </strong> 318 <p>Outstanding long-term service to the computer vision community</p> 319 <strong>Khurram Soomro, Amir Roshan Zamir and Mubarak Shah, Hilde Kuehne, Hueihan Jhuang, Estibaliz Garrote, Tomaso A. Poggio, Thomas Serre</strong> 320 <p>The UCF101 and HMD51 dataset teams </p> 321 322 <h3>Koenderink Prize</h3> 323 <strong>Daniel J. Butler, Jonas Wulff, Garrett B. Stanley, Michael J. Black </strong> 324 <p>A naturalistic open source movie for optical flow evaluation</p> 325 <strong>Nathan Silberman, Derek Hoiem, Pushmeet Kohli, Rob Fergus </strong> 326 <p>Indoor Segmentation and Support Inference from RGBD Images</p> 327 <h3>Best Demo</h3> 328 <strong>Yair Moshe, Dan-Ilan Ben-David, Eran Mann, Sagie Baboach, Iddo Bar-Haim, Shoval Gerbi, Adam Katav, Technion â Israel Institute of Technology, Israel </strong> 329 <p>Using a Smartphone for Augmented Reality in a Classroom </p> 330 </div> 331 </div> 332 <div class="col"> 333 <button class="accordion" onclick="$(this).next('.accordion-content').slideToggle()">ECCV 2020</button> 334 <div class="accordion-content"> 335 <h3>Best Paper Awards</h3> 336 <strong>Zachary Teed, Jia Deng </strong> 337 <p>RAFT: Recurrent All-Pairs Field Transforms for Optical Flow</p> 338 <h3>Best Paper Awards â Honorable Mention</h3> 339 <strong>Mengtian Li, Yu-Xiong Wang, Deva Ramanan</strong> 340 <p>Towards Streaming Perception</p> 341 <strong>Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng</strong> 342 <p>NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis</p> 343 <h3>Everingham Prize</h3> 344 <strong>Antonio Torralba</strong> 345 <p>Multiple Datasets</p> 346 <strong>Johannes Schönberger</strong> 347 <p>COLMAP SFM and MVS software library</p> 348 <h3>Koenderink Prize</h3> 349 <strong>Florent Perronnin, Jorge Sánchez and Thomas Mensink</strong> 350 <p>Improving the Fisher Kernel for Large-Scale Image Classification</p> 351 <strong>Michael Calonder, Vincent Lepetit, Christoph Strecha, and Pascal Fua</strong> 352 <p>
352Brief: Binary robust independent elementary features</p> 353 <h3>Best Demo</h3> 354 <strong>Rita Cucchiara, Matteo Fabbri, and Simone Calderara, University of Modena and Reggio Emilia, Italy</strong> 355 <p>Inter-Homines</p> 356 </div> 357 </div> 358 </div> 359 <div class="py-1 row"> 360 <div class="col"> 361 <button class="accordion" onclick="$(this).next('.accordion-content').slideToggle()">ECCV 2018</button> 362 <div class="accordion-content"> 363 <h3>Best Paper Awards</h3> 364 <strong>Martin Sundermeyer, Zoltan Marton, Maximilian Durner, Manuel Brucker, Rudolph Triebel</strong> 365 <p>Implicit 3D Orientation Learning for 6D Object Detection from RGB Images</p> 366 <h3>Best Paper Awards â Honorable Mention</h3> 367 <strong>Yuxin Wu, Kaiming He</strong> 368 <p>Group Normalization</p> 369 <strong>Albert Pumarola, Antonio Agudo, Aleix M. Martinez, Alberto Sanfeliu, Francesco Moreno-Noguer</strong> 370 <p>GANimation: Anatomically-aware Facial Animation from a Single Image</p> 371 <h3>Everingham Prize</h3> 372 <strong>Alan Smeaton, Wessel Kraaij, Paul Over, George Awad</strong> 373 <p>For a series of datasets and workshops since 2003 that have driven progress in large scale Video Retrieval.</p> 374 <strong>Changchang Wu</strong> 375 <p>For providing a well documented software library for Structure from Motion that has been used effortlessly by so many.</p> 376 <h3>Koenderink Prize</h3> 377 <strong>Herve Jegou, Matthijs Douze, Cordelia Schmid</strong> 378 <p>Hamming Embedding and Weak Geometric Consistency for Large Scale Image Search</p> 379 <strong>Helmut Grabner, Christian Leistner, Horst Bischof</strong> 380 <p>Semi-supervised On-Line Boosting for Robust Tracking</p> 381 </div> 382 </div> 383 <div class="col"> 384 <button class="accordion" onclick="$(this).next('.accordion-content').slideToggle()">ECCV 2016</button> 385 <div class="accordion-content"> 386 <h3>Best Paper Awards</h3> 387 <strong>Hanme Kim, Stefan Leutenegger, and Andrew J. Davison</strong> 388 <p>Real-Time 3D Reconstruction and 6-DoF Tracking with an Event Camera</p> 389 <h3>Best Paper Awards â Honorable Mention</h3> 390 <strong>Jonathan Barron and Ben Poole</strong> 391 <p>The Fast Bilateral Solver</p> 392 <h3>Everingham Prize</h3> 393 <strong>Alex Berg, Jia Deng, Fei-Fei Li, Wei, Liu, Olga Russakovsky and team â ImageNet</strong> 394 <p>For a series of datasets and challenges since 2010 that have had such impact on the computer vision field. ImageNet built on the Caltech101/256 datasets, increasing the number of images by orders of magnitude and enabling the development of new algorithms.</p> 395 <strong>Ramin Zabih</strong> 396 <p>For extensive, generous, service to the community: As long-term head of the IEEE PAMI Technical Committee he introduced many reforms, including to the awards process and the relationship to the IEEE. And he has been the driving force in creating and running the Computer Vision Foundation (CVF).</p> 397 <h3>Koenderink Prize</h3> 398 <strong>Herbert Bay, Tinne Tuytelaars, and Luc Van Gool</strong> 399 <p>Surf: Speeded up robust features (ECCV 2006)</p> 400 <strong>Edward Rosten and Tom Drummond</strong> 401 <p>Machine learning for high-speed corner detection (ECCV 2006)</p> 402 <h3>Best Student Paper Award</h3> 403 <strong>Emma Alexander, Qi Guo, Sanjeev Koppal, Steven Gortler, and Todd Zickler</strong> 404 <p>Focal Flow: Measuring Distance and Velocity with Defocus and Differential Motion</p> 405 </div> 406 </div> 407 </div> 408 <div class="py-1 row"> 409 <div class="col"> 410 <button class="accordion" onclick="$(this).next('.accordion-content').slideToggle()">ECCV 2014</button> 411 <div class="accordion-content"> 412 <h3> Best Paper Awards</h3> 413 <strong>Kevin Matzen and Noah Snavely</strong> 414 <p>Scene Chronology</p> 415 <strong>Jia Deng, Nan Ding, Yangqing Jia, Andrea Frome, Kevin Murphy, Samy Bengio, Yuan Li, Hartmut Neven, Hartwig Adam</strong> 416 <p>Large-Scale Object Classification using Label Relation Graphs</p> 417 <h3>Best Paper Awards â Honorable Mention</h3> 418 <strong>Matt Zeiler and Rob Fergus</strong> 419 <p>Visualizing and Understanding Convolutional Neural Networks</p> 420 <h3>PAMI Everingham Prize</h3> 421 <strong>Terry and Ginger Boult</strong> 422 <p>For extensive, generous, long-term service to the community in the management of computer vision conferences and workshops.</p> 423 <h3>Koenderink Prize</h3> 424 <strong>Thomas Brox, Andrès Bruhn,
425 Nils Papenberg & Joachim Weickert (ECCV 2004)</strong> 426 <p>High Accuracy Optical Flow Estimation 427Based on a Theory for Warping</p> 428 <strong>Timo Ahonen, Abdenour Hadid & Matti Pietikäinen (ECCV 2004)</strong> 429 <p>Face Recognition with Local Binary Patterns</p> 430 </div> 431 </div> 432 <div class="col"> 433 <button class="accordion" onclick="$(this).next('.accordion-content').slideToggle()">ECCV 2012</button> 434 <div class="accordion-content"> 435 <h3>Best Paper Award</h3> 436 <strong>Daniel Kuettel, Matthieu Guillaumin and Vittorio Ferrari</strong> 437 <p>Segmentation Propagation in ImageNet</p> 438 <h3>Best Paper Award â Honorable Mention</h3> 439 <strong>Kris Kitani, Brian D. Ziebart, James Bagnell and Martial Hebert</strong> 440 <p>Activity Forecasting</p> 441 <h3>Koenderink Prize</h3> 442 <strong>Vladimir Kolmogorov and Ramin Zabih</strong> 443 <p>What Energy Functions Can Be Minimized via Graph Cuts?</p> 444 <h3>Best Student Paper Award</h3> 445 <strong>Jianxiong Xiao and Yasutaka Furukawa</strong> 446 <p>Reconstructing the Worldâs Museums</p> 447 </div> 448 </div> 449 </div> 450 <div class="py-1 row"> 451 <div class="col"> 452 <button class="accordion" onclick="$(this).next('.accordion-content').slideToggle()">ECCV 2010</button> 453 <div class="accordion-content"> 454 <h3>Best Paper Award</h3> 455 <strong>L. Laticky, C. Russell, P. Kohli and P.H.S. Torr</strong> 456 <p>Graph Cut based Inference with Co-occurrence Statistics</p> 457 <h3>Runner-Up Paper Award</h3> 458 <strong>A. Gupta, A. Efros and M. Hebert</strong> 459 <p>Blocks World Revisited: Image Understanding Using Qualitative Geometry and Mechanics</p> 460 <h3>Koenderink Prize</h3> 461 <strong>H. Sidenbladh, M.J. Black and D.J. Fleet</strong> 462 <p>Stochastic Tracking of 3D Human Figures Using 2D Image Motion (ECCV 2000)</p> 463 <strong>M. Weber, M. Welling and P. Perona</strong> 464 <p>For the ECCVâ2000 paper entitled: Unsupervised Learning of Models for Recognition</p> 465 <h3>Best Student Paper Award</h3> 466 <strong>T. Pätz and T. Preusser</strong> 467 <p>Ambrosio-Tortorelli Segmentation of Stochastic Images</p> 468 </div> 469 </div> 470 <div class="col"> 471 <button class="accordion" onclick="$(this).next('.accordion-content').slideToggle()">ECCV 2008</button> 472 <div class="accordion-content"> 473 <h3>Best Paper Award</h3> 474 <strong>Geremy Heitz and Daphne Koller</strong> 475 <p>Learning Spatial Context: Using Stuff to Find Things</p> 476 <h3>Koenderink Prize</h3> 477 <strong>Michael Isard and Andrew Blake</strong> 478 <p>Contour Tracking by Stochastic Propagation of Conditional Density (ECCV 1996)</p> 479 <strong>Olivier Faugeras, Quang-Tuan Luong, and Steve Maybank</strong> 480 <p>Camera self-calibration: theory and experiments (ECCV 1992)</p> 481 <h3>Best Student Paper Award</h3> 482 <strong>Matthew B. Blaschko and Christoph H. Lampert</strong> 483 <p>Learning to Localize Objects with Structured Output Regression</p> 484 </div> 485 </div> 486 </div> 487 <div class="py-1 row"> 488 <div class="col"> 489 <button class="accordion" onclick="$(this).next('.accordion-content').slideToggle()">ECCV 2006</button> 490 <div class="accordion-content"> 491 <h3>Longuet-Higgins Best Paper Award</h3> 492 <strong>Anat Levin, Yair Weiss</strong> 493 <p>Learning to Combine Bottom-up and Top-down Segmentation</p> 494 <h3>Best Paper Award â Honorable Mention</h3> 495 <strong>Samuel W. Hasinoff, Kiriakos N. Kutulakos</strong> 496 <p>Confocal Stereo</p> 497 <strong>Omar Ait-Aider, Nicolas Andreff, Jean Marc Lavest, and Philippe Martinet</strong> 498 <p>Simultaneous Object Pose and Velocity Computation Using a Single View from a Rolling Shutter Camera</p> 499 </div> 500 </div> 501 <div class="col"> 502 <button class="accordion" onclick="$(this).next('.accordion-content').slideToggle()">ECCV 2004</button> 503 <div class="accordion-content"> 504 <h3>Longuet-Higgins Best Paper Award</h3> 505 <strong>T. Brox, A. Bruhn, N. Papenberg, and J. Weickert</strong> 506 <p>High Accuracy Optical Flow Estimation Based on a Theory for Warping</p> 507 <h3>Best Paper Award â Honorable Mention</h3> 508 <strong>René Vidal and Yi Ma</strong> 509 <p>A Unified Algebraic Approach to 2-D and 3-D Motion Segmentation</p> 510 <h3>Best Paper â Cognitive Vision</h3> 511 <strong>Kenji Okuma, Ali Taleghani, Nando de Freitas, James J. Little, and David G. Lowe</strong> 512 <p>A Boosted Particle Filter: Multitarget Detection and Tracking</p> 513 </div> 514 </div>
515 </div> 516 <br> 517 <h2>ECVA Young Researcher Award</h2> 518 <div class="py-1 row"> 519 <div class="col"> 520 <button class="accordion" onclick="$(this).next('.accordion-content').slideToggle()">ECVA Young Researcher Award Nominations 2026</button> 521 <div class="accordion-content" style="display:block"> 522 <p> 523 With the Young Researcher Award, ECVA recognizes and encourages outstanding research achievements of young researchers in computer vision. 524 Each awardee will receive Euro 5000 prize money. There will be one award every year, which will be awarded at the next ECCV conference. 525 </p> 526 <p> 527 <h4>Deadline</h4> 528 The deadline for nominating a candidate for the years 2024 and 2025 is: 529 <br/> April 30, 2026 (End of Day, Anywhere on Earth) 530 </p> 531 532 <p> 533 <h4>Eligibility</h4> 534 Young researchers must be based at a European research institution and should not be older than 35. 535 Their main scope of research should be in computer vision or be strongly linked to computer vision. 536 </p> 537 538 <p> 539 <h4>Selection Criteria</h4> 540 Nominations will be reviewed by a selection committee for the quality and significance of the research contributions of the young researcher. Emphasis will be on the research after their PhD. 541 </p> 542 543 <p> 544 <h4>How to Nominate</h4> 545 The nomination (self-nominations are not allowed) must include: 546 <ul> 547 <li> A short summary (approx. 2 pages) of the main research achievements</li> 548 <li> 3-5 of the most important publications</li> 549 <li> A scan of the dissertation certificate (which includes the date of the defense)</li> 550 <li> The candidateâs CV</li> 551 <li> A short laudation (40-80 words)</li> 552 </ul> 553 </p> 554 555 556 <p> 557 Please use this template 558 <a href="./ECVAYoungResearcherAward/ecva-nomination.pdf"> (pdf)</a> 559 <a href="./ECVAYoungResearcherAward/latex-template.zip"> (latex)</a> 560 to nominate a candidate and send the nomination (preferably as a single pdf file) to 561 <a href = "mailto: [email protected]">[email protected]</a> 562 If you should have any questions, please send an email to 563 <a href = "mailto: [email protected]">[email protected]</a>. 564 </p> 565 </div> 566 </div> 567 </div> 568 <div class="py-1 row"> 569 <div class="col"> 570 <button class="accordion" onclick="$(this).next('.accordion-content').slideToggle()">ECVA Young Researcher Award 2024</button> 571 <div class="accordion-content" style="display:block"> 572 <h3>Angela Dai</h3> 573 <p>Angela stands out as a pioneering researcher in 3D scene reconstruction and semantic scene understanding. Angelaâs research has played a pivotal role in establishing modern 3D deep learning as a prominent and influential area of study. Her efforts have significantly broadened the scope of visual perception, transforming the landscape of research in the digitization and understanding of 3D environments. 574 </p> 575 <h3>Johannes Schönberger</h3> 576 <p>Johannes Schönberger has made numerous significant contributions to geometric computer vision and, through his dedication to open and reproducible research, has enabled a large body of work in both academia and industry. Since earning his PhD, he has advanced and influenced the state of the art in topics related to mapping and localization as well as pioneered new research directions in the area of privacy preserving methods. 577 </p> 578 </div> 579 </div>
580 </div> 581 <div class="py-1 row"> 582 <div class="col"> 583 <button class="accordion" onclick="$(this).next('.accordion-content').slideToggle()">ECVA Young Researcher Award 2022</button> 584 <div class="accordion-content" style="display:block"> 585 <h3>Zeynep Akata</h3> 586 <p>Zeynep Akata has had a number of significant contributions in multimodal deep learning, in vision and language for low-shot learning and in explainable machine learning. Her research defined the state of the art for zero-shot learning and her natural language explanations provided novel human-understandable justifications both for fine-grained visual classification and autonomous driving. She is a full professor at Tubingen University and leads a research group there. She has received a number of awards.</p> 587 <h3>Amir Zamir</h3> 588 <p>With a remarkable combination of creativity, productivity, and technical depth, Amir Zamir stands out as an emerging superstar in computer vision. Since earning his PhD, Prof. Zamir has pioneered highly influential approaches in multi-task/transfer learning and 3D environment simulation that serve as inspiration not simply for follow-up papers, but for entire research groups â both in academia and in industry. His work points the way forward as our field transitions from the era of âdataset AIâ to the embodied AI future.</p> 589 </div> 590 </div> 591 </div> 592 <br> 593 <h2>ECVA PhD Award</h2> 594 <div class="py-1 row"> 595 <div class="col"> 596 <button class="accordion" onclick="$(this).next('.accordion-content').slideToggle()">ECVA PhD Award Nominations 2026</button> 597 <div class="accordion-content" style="display:block"> 598 <p> 599 With the ECVA PhD Award, ECVA recognizes and encourages outstanding research achievements during the dissertation phase, in the field of computer vision. Each awardee will receive Euro 2500 prize money. There will be two awards every year, which will be awarded at the next ECCV conference. 600 </p> 601 <p> 602 <h4>Deadline</h4> 603 The deadline for nominating a dissertation for the years 2024 and 2025 is: 604 <br/>April 30, 2026 (End of Day, Anywhere on Earth) 605 </p> 606 607 <p> 608 <h4>Eligibility</h4> 609 Any European dissertation in the area of computer vision that has been defended in 2024 / 2025 can be nominated. 610 A dissertation is considered European if the dissertation has been performed primarily at a European research institution. 611 </p> 612 613 <p> 614 <h4>Selection Criteria</h4> 615 Dissertations will be reviewed for technical depth and significance of the research contribution and potential impact on theory and practice. 616 </p> 617 618 <p> 619 <h4>How to Nominate</h4> 620 The nomination (self-nominations by the author of the dissertation are not allowed) must include: 621 <ul> 622 <li> A short summary (approx. 2 pages) of the main research achievements of the dissertation</li> 623 <li> 2-3 of the most important publications</li> 624 <li> A scan of the dissertation certificate (which includes the date of the defense)</li> 625 <li> Final version of the dissertation as pdf (or link to pdf)</li> 626 <li> The candidateâs CV</li> 627 <li> A short laudation (40-80 words)</li> 628 </ul> 629 </p> 630 631 <p> 632 Please use this template 633 <a href="./ECVAPhDAward/ecva-nomination.pdf"> (pdf)</a> 634 <a href="./ECVAPhDAward/latex-template.zip"> (latex)</a> 635 to nominate a candidate and send the nomination (preferably as a single pdf file) to 636 <a href = "mailto: [email protected]">[email protected]</a>. 637 If you should have any questions, please send an email to 638 <a href = "mailto: [email protected]">[email protected]</a>. 639 </p> 640 641 </div> 642 </div> 643 </div> 644 645 <div class="py-1 row"> 646 <div class="col"> 647 <button class="accordion" onclick="$(this).next('.accordion-content').slideToggle()">ECVA PhD Award 2024</button> 648 <div class="accordion-content" style="display:block"> 649 <h3>Yaoyao Liu</h3> 650 <strong>Learning from Imperfect Data: Incremental Learning and Few-shot Learning</strong> 651 <p>Yaoyao Liu introduced many creative methods to apply the âlearning-to-learnâ idea in few-shot learning, continual learning, and their applications. In terms of algorithmic development, his work leveraged online learning, reinfor
651cement learning, bilevel optimization to make a various of prefixed components learnable and adaptive. In terms of applications, his work explored many important real-world tasks, including object detection and medical imaging. His scientific works have become highly influential in the field.</p> 652 <h3>Songyou Peng</h3> 653 <strong>Neural Scene Representations for 3D Reconstruction and Scene Understanding</strong> 654 <p>Dr. Peng has significantly advanced the ï¬eld of 3D computer vision, focusing on the areas of 3D reconstruction and 3D scene understanding. His research in his PhD thesis not only addresses the challenges of large-scale 3D scene reconstruction but also pioneers the use of large vision foundation models for zero-shot 3D scene understanding. His works have inspired extensive follow-up research across various ï¬elds of computer vision, robotics, and graphics.</p> 655 <h3>Jan Eric Lenssen</h3> 656 <strong>Differentiable Algorithms with Data-driven Parameterization in 3D Vision</strong> 657 <p>In his PhD work, Jan Eric Lenssen made a large number of very original, technically deep, and significant contributions in the area of geometric deep learning, graph neural networks, and 3D representation learning. His contributions to efficient GPU message passing algorithms laid the foundation for Pytorch Geometric, the most used graph neural network library world-wide and for the successful startup Kumo.ai.</p> 658 <h3>Shangzhe Wu</h3> 659 <strong>Unsupervised Learning of 3D Objects in the Wild</strong> 660 <p>Shangzhe Wuâs PhD pioneers monocular 3D reconstruction of deformable objects without 3D supervision from images and videos collected in the wild. The thesis advances this field on two fronts simultaneously: (1) demonstrating an unprecedented quality of results and (2) using only minimal assumptions, leading to both significant practical values and scientific insights. The work in this thesis has inspired a wide range of follow-up work by the community and has significantly shaped the field of unsupervised 3D learning.</p> 661 </div> 662 </div> 663 </div> 664 <div class="py-1 row"> 665 <div class="col"> 666 <button class="accordion" onclick="$(this).next('.accordion-content').slideToggle()">ECVA PhD Award 2022</button> 667 <div class="accordion-content" style="display:block"> 668 <h3>Iro Laina</h3> 669 <strong>Semantics, Language and Geometry: Learning to Understand the Scene</strong> 670 <p>Iro Lainaâs dissertation addresses a broad range of challenging problems in computer vision, and specifically in scene understanding. The dissertation makes a series of timely, strong, and innovative scientific contributions by breaking down the overarching scene understanding problem to geometric, semantic, and linguistic components. It advances the state of the art in perceptual tasks and in the intersection of vision and language. The content of the thesis has been adopted in widespread real-world applications and has created significant impact.</p> 671 <h3>Yongqin Xian</h3> 672 <strong>Learning from Limited Labeled Data â Zero Shot and Few-Shot Learning</strong> 673 <p>Yongqin Xian made significant contributions in the area of zero-shot and few-shot learning. He proposed novel feature generating frameworks that have defined the state of the art in this area. He introduced the first approach for zero-label semantic segmentation and pushed the boundary of few-shot video classification by leveraging unlabeled videos from a large dataset. In addition, his zero-shot learning benchmark has become highly influential in the field.</p> 674 <h3>Marcella Cornia</h3> 675 <strong>Learning to Describe Salient Objects in Images with Vision and Language</strong> 676 <p>
676Marcella Cornia is a cocktail of excellent technical expertise and great intellectual curiosity; the cherry on the glass is her kindness and willingness to work in both pure research projects, industrial research, and public engagement.</p> 677 <h3>Triantafyllos Afouras</h3> 678 <strong>Audio-visual Deep Learning</strong> 679 <p>Triantafyllos Afourasâ outstanding dissertation introduces multiple creative ways to use audio and visual data in machine learning and in applications. It explores cross-modal and self-supervised learning for the important areas of lip reading, audio-visual speaker separation and enhancement, audio-visual object detection, and sign language recognition. Both the scientific outcomes of the dissertation and the datasets released have had a high impact in terms of citations and downloads.</p> 680 </div> 681 </div> 682 </div> 683 </div> 684 </div> 685 </div> 686</div> 687<div class="py-6 bg-beige"> 688 <div id="board" class="container"> 689 <div class="row"> 690 <div class="col"> 691 <h2>Board</h2> 692 <p>The Executive Board of the Computer Vision Association</p> 693 </div> 694 <div class="col" style="margin-top:80px;"> 695 <ul> 696 <p><b>President</b><br><a href="https://cvg.cit.tum.de/members/cremers" target="_blank">Daniel Cremers</a></p> 697 <p><b>Vice President</b><br><a href="https://homes.esat.kuleuven.be/~tuytelaa/" target="_blank">Tinne Tuytelaars</a></p> 698 <p><b>Treasurer</b><br><a href="https://people.ciirc.cvut.cz/~pajdla/" target="_blank">Tomas Pajdla</a></p> 699 </ul> 700 </div> 701 </div> 702 </div> 703</div> 704 705</div> 706<footer class="bg-footer"> 707<div id="contact" class="container"> 708<div class="py-5 row"> 709 <div class="col"> 710 <h2>Contact</h2> 711 <p><a href="mailto:[email protected]">[email protected]</a></p> 712 <p><a href="https://data-protection.mpi-klsb.mpg.de/inf/ecva.net">Data Protection</a></p> 713 <p><a href="https://imprint.mpi-klsb.mpg.de/inf/ecva.net">Imprint</a></p> 714 </div> 715</div> 716</footer> 717<!--
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