February 2018 - talks - lists.cs.princeton.edu

The Art and Science of PIXAR, tonight at 7pm
by Emily Lawrence 06 Feb '18

06 Feb '18

The Art and Science of PIXAR Tuesday, February 6, 2018 - 7:00pm Andlinger Center, Maeder Hall Host: Council on Science and Technology Danielle Feinberg, Pixar's Director of Photography for Lighting, uses math, science and code to bring wonder to the big screen. Go behind the scenes of Finding Nemo, Toy Story 3, Brave, WALL-E, Coco and more, to discover how Pixar interweaves art and science to create fantastical worlds where the things you imagine can become real. https://cst.princeton.edu/news/evnin-lecture-2018

1 0

Colloquium Speaker-Pedro Lopes, Monday, Feb 12
by Emily Lawrence 05 Feb '18

05 Feb '18

CS Department Colloquium Speaker Pedro Lopes, Hasso Plattner Institute Monday, February 12, 2018 - 12:30pm Computer Science - Room 105 Host: Prof. Adam Finkelstein "Interactive Systems based on Electrical Muscle Stimulation" How can interactive devices connect with users in the most immediate and intimate way? This question has driven interactive computing for decades. If we think back to the early days of computing, user and device were quite distant, often located in separate rooms. Then, in the '70s, personal computers "moved in" with users. In the '90s, mobile devices moved computing into users' pockets. More recently, wearables brought computing into constant physical contact with the user's skin. These transitions proved to be useful: moving closer to users and spending more time with them allowed devices to perceive more of the user, allowing devices to act more personal. The main question that drives my research is: what is the next logical step? How can computing devices become even more personal? Some researchers argue that the next generation of interactive devices will move past the user's skin, and be directly implanted inside the user's body. This has already happened in that we have pacemakers, insulin pumps, etc. However, I argue that what we see is not devices moving towards the inside of the user's body but towards the "interface" of the user's body they need to address in order to perform their function. This idea holds the key to more immediate and personal communication between device and user. The question is how to increase this immediacy? My approach is to create devices that intentionally borrow parts of the user's body for input and output, rather than adding more technology to the body. I call this concept "devices that overlap with the user's body". I'll demonstrate my work in which I explored one specific flavor of such devices, i.e., devices that borrow the user's muscles. In my research I create computing devices that interact with the user by reading and controlling muscle activity. My devices are based on medical-grade signal generators and electrodes attached to the user's skin that send electrical impulses to the user's muscles; these impulses then cause the user's muscles to contract. While electrical muscle stimulation (EMS) devices have been used to regenerate lost motor functions in rehabilitation medicine since the '60s, during my PhD I explored EMS as a means for creating interactive systems. My devices form two main categories: (1) Devices that allow users eyes-free access to information by means of their proprioceptive sense, such as a variable, a tool, or a plot. (2) Devices that increase immersion in virtual reality by simulating large forces, such as wind, physical impact, or walls and heavy objects. Bio: Pedro Lopes is a PhD Candidate at Prof. Baudisch's Human Computer Interaction Lab at the Hasso Plattner Institute, Germany. Pedro's work asks the question: what if interfaces would share part of our body? Pedro has materialized these ideas by creating interactive systems based on electrical muscle stimulation. These devices use part of the wearer's body for output, i.e., the computer can output by actuating the user's muscles with electrical impulses, causing it to move involuntarily. The wearer can sense the computer's activity on their own body by means of their sense of proprioception. Pedro's wearable systems have shown to (1) increase realism in VR, (2) provide a novel way to access information through proprioception, and (3) serve as a platform to experience and question the boundaries of our sense of agency. Pedro's work is published at top-tier conferences (ACM CHI &UIST) and demonstrated at venues such as ACM SIGGRAPH and IEEE Haptics. Pedro has received the ACM CHI Best Paper award for his work on Affordance++, Best Talk Awards and several nominations. As part of his research, Pedro has exhibited at Ars Electronica 2017, Science Gallery Dublin and World Economic Forum in San Francisco. His work also captured the interest of media, such as MIT Technology Review, NBC, Discovery Channel, NewScientist and Wired. (Learn more about Pedro's work here: plopes.org).

1 0

Shuran Song will present her Pre FPO on Tuesday, February 13, 2018 at 2:30pm in CS 302
by Nicki Gotsis 02 Feb '18

02 Feb '18

Shuran Song will present her Pre FPO on Tuesday, February 13,2018at 2:30pm in CS 302. The members of her committee are as follows: Thomas Funkhouser (Adviser), Olga Russakovsky, Szymon Rusinkiewicz, and Adam Finkelstein, and Alberto Rodriguez (MIT). Title: Seeing the Unseen: Data-Driven 3D Scene Understanding for Robot Vision Abstract: Intelligent robots require advanced vision capabilities to perceive and interact with the real physical world. While computer vision has made great strides in recent years, its predominant paradigm still focuses on analyzing image pixels to infer 2D output representations (bounding boxes, segmentation, etc.), which remain far from sufficient for real-world robotics applications. In this talk, I will advocate the use of complete 3D scene representations that enable intelligent systems to not only recognize what is seen (e.g. Am I looking at a chair?), but also predict contextual information about the complete 3D environment beyond visible surfaces (e.g. What could be behind the table? Where should I look to find an exit?). As examples, I will present a line of my recent works that demonstrate the power of these representations through amodal 3D object detection (Sliding Shape and Deep Sliding Shapes), analyzing and synthesizing 3D scenes (Semantic Scene Completion), and predicting semantic and 3D structure outside the image field of view (Im2Pano3D). Finally, I will discuss some ongoing efforts on how these 3D scene representations can further enable and benefit from real-world robotic interactions (in the Amazon Robotic Challenge), shifting the way we view computer vision problems from the perspective of a passive observer to that of an active explorer. Bio: Shuran Song is a fifth-year Ph.D. candidate in Computer Science at Princeton University, advised by Thomas Funkhouser. Before that, she received a BEng. in Computer Science from HKUST in 2013 with the highest honor. During her Ph.D., she spent time working at Microsoft Research and Google Daydream. Her research interests lie at the intersection of computer vision, computer graphics, and robotics. She was awarded the Facebook Fellowship in 2014, Siebel Scholar in 2016, Wallace Fellowship in 2017, and Princeton SEAS Award for Excellence in 2017. She was named Princeton Innovation’s 25 Under 25, and was part of the MIT-Princeton team for the Amazon Robotics Challenge, winning the 3rd place in 2016 and 1st place (stow task) in 2017.

1 1