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Antonio Torralba Katie L DAILY Interview with: Presenting Work by: Editorial with: Antonio Torralba Katie L. Bouman Rita Cucchiara John McCormac Today’s Picks by: Workshop: Dèlia The Joint Video and Language... Fernandez A publication by Wednesday 2 Dèlia’s Picks For today, Wednesday 25 Dèlia Fernandez is an industrial PhD candidate at the startup company Vilynx and the group of Image and Video Processing (GPI) in the Polytechnic University of Catalonia (BarcelonaTech). “My research topic aims at introducing knowledge bases in the automatic understanding of video content. ICCV is the perfect place to learn about last trends and techniques for image and video analysis, get in touch with the community and hear about new interesting topics and challenges.” Dèlia presented a paper in the workshop on web-scale vision and social media. The paper is "VITS: Video Dèlia Fernandez Tagging System from Massive Web Multimedia Collections". Find it here! Dèlia’s picks of the day: • Morning P3-34: Temporal Dynamic Graph LSTM for Action-Driven Video Object Detection P3-42: Hierarchical Multimodal LSTM for Dense Visual-Semantic Embedding P3-50: Unsupervised Learning of Important Objects From First-Person Videos P3-52: Visual Relationship Detection With Internal and External Linguistic Knowledge Distillation P3-72: Common Action Discovery and Localization in Unconstrained Videos P4-69: Learning View-Invariant Features for Person Identification in Temporally Synchronized Videos Taken by Wearable Cameras P4-74: Chained Multi-Stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection “Venice is a magic place where you can feel Italian traditions alive! I was delighted to find out ICCV was taking place here and I am enjoying the chance to have nice Italian food and explore the city.” Wednesday Summary 3 Dèlia’s Picks Antonio Torralba Katie L. Bouman 06 14 Venezia Lido 02 Workshop The Joint Video and… Editorial 17 Subscribe for free to 04 10 Computer Vision News Opening Talk John McCormac 12 05 18 ICCV Daily All rights reserved Our editorial choices are fully Publisher: RSIP Vision Unauthorized reproduction independent from ICCV and its Copyright: RSIP Vision is strictly forbidden. organizers, Wednesday 4 Editorial Good morning ICCV! In this record-year for ICCV, what will be the new trends and approaches? We can figure it by looking at some stats on submitted papers, collected during this long period of review-rebuttal-review… We presented them at yesterday’s Opening Talk, but the short time available did not allow to cover everything. If you look at the most popular macro categories of topics they are consistently the same: the large majority fall into the category of “Recognition, detection matching”: 497 papers (of which 156 accepted for the conference), while the “3D computer vision”, “image processing”, “motion and tracking”, “video events and activities” as well as “learning methods” seem to be the building blocks of our conference days. Probably the most focused sub-categories for the high acceptance rate and high number of submitted papers are four: two of them are more related to theory - Discrete Optimization (26 papers accepted among 56, a 46.6% acceptance rate) and 3D Modeling and reconstruction (25 papers accepted among 60, a 41.7% acceptance rate) while two others related to applications: one of them is obviously “autonomous driving” (among the 19 submitted papers, 10 were accepted, a 52.6% acceptance rate); also video and language seem to be a hot topic, since among 13 proposals, 7 of them have been accepted (a 54% acceptance rate) ICCV is a Traditional conference in terms of titles with some kind of fantasy: we did an histogram of the most common words in the title and more than 300 papers’ titles contained the word “learning” together with “deep” or “network” or “convolutional”; among the 20 worlds more used we can find “tracking”, “re-identification”, “person”, “face” and “action”, typically exploited in our title while the new entry in this list is “adversarial”. GANs becoming very popular if you think to the about 1,000 people attending Ian Goodfellow’s tutorial on GANs’, a couple of days ago. And finally some worlds so common in the title of the past are disappearing. In the set of the 50 worlds used only once or twice in the title, we found something as “objectness” or “abnormal” or “Bayesian” and “PCA” that characterized our research in the past. Sic transit gloria mundi. The world is changing and the words too. We let you discover more topics and keywords in this second ICCV Daily. Whether you are here in Venice or anywhere else, stay connected with the community by reading the magazine of ICCV. Enjoy the reading! Rita Cucchiara Ralph Anzarouth Professor, Università di Modena e Reggio Emilia Editor, Computer Vision News Program Chair, ICCV 2017 Marketing Manager, RSIP Vision Wednesday Opening Talk 5 General Chair Marcello Pelillo during the Opening Talk of ICCV2017. He was kind enough to dedicate one of his slides to the ICCV Daily, the new publication originated by the partnership between ICCV and Computer Vision News, the magazine of the algorithm community published by RSIP Vision Wednesday 6 Antonio Torralba Originally from Spain, Antonio Torralba is a Professor at MIT in the computer science and artificial intelligence laboratory. “We are missing the proximity with the students when you have such a big class” Photo by Lillie Paquette / MIT School of Engineering Antonio, how long have you been at that requires a lot of time. Otherwise, MIT? ideas don’t come. You don’t have time I’ve been there since 2000. to play and take risks. Because if you have little time, you need to go to That means that you have been at MIT something that is for sure, and you for seventeen years! How has MIT need to publish. In Spain, you have to changed since that time? publish a number of papers in order to Particularly with fields that are related get promotions. This is very different in to artificial intelligence, the changes are the US. In the US, you have a lot of constant. We are revising the time. You have to teach maybe 30 hours curriculum every year. Whenever you per semester. This is very little, in fact. teach something, in the next year, half Even if we think that teaching takes a of the slides are obsolete. lot of time for us, it really doesn’t take One of the things that has changed a lot that much time. You have a lot of time is the number of students per class. I for research, which means that you can started teaching in 2007 or 2008. I take risks. That’s what makes research started teaching a computer vision class great. I think that’s what is missing in there with Bill Freeman. There were like Spain sometimes in the computer 30 students, and I think half of them science field. Other fields are different, just thought the class was about but in computer science, I think that something different. It was just very, they are too constrained by the amount very few people. Now we have 300 of hours they need to teach, but they people in the class, and they all know have great people. what we are doing! [both laugh] … and You are teaching relatively less hours there’s many people that couldn’t get in America, while having 300 students, in! It’s a totally different field. how can you get to know your students? Can you tell us about academia in That’s true. There is this problem that Spain versus in the States? we are missing the proximity with the It depends also on the fields, but in students when you have such a big computer science in particular, one of class. That’s something that is lost, but the main issues in Spain is that the there is a benefit actually. When you professors at the university have to do a have so many students, there are lot of teaching. Research is a discipline people that are really, really motivated Wednesday Antonio Torralba 7 about the field. They come to talk to who I told to come to my lab. It was you. In the end, you encounter them in three students, two females and one some way or another. For instance, at male. From those students, only the MIT a few students were explaining to two females could come because the me all of the things that they do. They male already had some other lab where were first year undergrad students, and he was working. I thought, “Wow, this group is really What about ICCV? How has ICCV amazing! I want you all to come to my changed over the years? lab and work with me.” They did come! I’m having a blast with them. These are ICCV, just like the computer vision class, undergrads with no experience, but is getting larger and larger. It started out they are so motivated. This is one of the very small. You could almost know benefits of having a big class. everyone at the conference. I remember the first ones. Well, the first Can you tell us about a “Wow” one wasn’t very familiar to me because moment that you had with your I was coming from a very different students, a moment when you were so setting. I was in a lab in France. I only impressed by one of your students? knew the big professors from their A lot of us professors share the same names and papers. For me to see them, anecdote. Generally, I think the thing it was like seeing a Hollywood star for that impresses us the most with the the first time on the street.
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