Faculty Candidate
Yuke Zhu
Ph.D. candidate
Department of Computer Science, Stanford University

Faculty Candidate: Yuke Zhu

Gates Hillman Center 6115

Talk: Closing the perception-action loop Abstract: Robots and autonomous systems have been playing a significant role in the modern economy. Custom-built robots have remarkably improved productivity, operational safety, and product quality. However, these robots are usually programmed for specific tasks in well-controlled environments, unable to perform diverse tasks in the real world. In this talk, I will [...]

Faculty Candidate
Deepak Pathak
Ph.D. candidate
Computer Science, UC Berkeley

Self-Directed Learning

Newell-Simon Hall 3305

Abstract: Generalization, i.e., the ability to adapt to novel scenarios, is the hallmark of human intelligence. While we have systems that excel at recognizing objects, cleaning floors, playing complex games and occasionally beating humans, they are incredibly specific in that they only perform the tasks they are trained for and are miserable at generalization. In [...]

Faculty Candidate
Jiajun Wu
Ph.D. student
Electrical Engineering and Computer Science, Massachusetts Institute of Technology

Learning to see the physical world

Newell-Simon Hall 3305

Abstract: Human intelligence is beyond pattern recognition. From a single image, we're able to explain what we see, reconstruct the scene in 3D, predict what's going to happen, and plan our actions accordingly. In this talk, I will present our recent work on physical scene understanding---building versatile, data-efficient, and generalizable machines that learn to see, reason about, and interact [...]

Faculty Candidate
Jun-Yan Zhu
Postdoctoral Researcher
MIT CSAIL

Learning to Synthesize Images

Gates Hillman Center 6115

Abstract: People are avid consumers of visual content. Every day, we watch videos, play games, and share photos on social media. However, there is an asymmetry – while everybody is able to consume visual content, only a chosen few (e.g., painters, sculptors, film directors) are talented enough to express themselves visually. For example, in modern [...]

Faculty Candidate
Angjoo Kanazawa
BAIR postdoctoral researcher
UC Berkeley

Faculty Candidate: Angjoo Kanazawa

Gates Hillman Center 6115

Title: Perceiving Humans in the 3D World Abstract: Since the dawn of civilization, we have functioned in a social environment where we spend our days interacting with other humans. As we approach a society where intelligent systems and humans coexist, these systems must also interpret and interact with humans that reside in the 3D world. [...]

Faculty Candidate
Abe Davis
Postdoctoral Researcher
Stanford University

Augmenting Imagination: Capturing, Modeling, and Exploring the World Through Video

Gates Hillman Center 6115

Abstract: Cameras offer a rich and ubiquitous source of data about the world around us, providing many opportunities to explore new computational approaches to real-world problems. In this talk, I will show how insights from art, science, and engineering can help us connect progress in visual computing with typically non-visual problems in other domains, allowing [...]

Faculty Candidate
Matthias Niessner
Professor
Visual Computing Lab, Technical University of Munic

AI-Driven Videos Synthesis and its Implications

Gates Hillman Center 6115

Abstract: In this talk, I will present my research vision in how to create photo-realistic digital replica of the real world, and how to make holograms become a reality. Eventually, I would like to see photos and videos evolve to become interactive, holographic content indistinguishable from the real world. Imagine taking such 3D photos to [...]

Faculty Candidate
Angela Dai
Postdoctoral Fellow
Technical University of Munich

Understanding 3D Scans

Gates Hillman Center 6115

Abstract: With recent developments in both commodity range sensors as well as mixed reality devices, capturing and creating 3D models of the world around us has become increasingly important. As the world around us lives in a three-dimensional space, such 3D models will not only facilitate capture and display for content creation but also provide [...]

Special Talk
Tesca Fitzgerald
PhD candidate
Computer Science, Georgia Tech College of Computing

Human-guided Task Transfer for Interactive Robots

GATES-HILLMAN 4405

Abstract: Adaptability is an essential skill in human cognition, enabling us to draw from our extensive, life-long experiences with various objects and tasks in order to address novel problems. To date, most robots do not have this kind of adaptability, and yet, as our expectations of robots’ interactive and assistive capacity grows, it will be [...]