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 [...]

Faculty Candidate
Systems Scientist
Robotics Institute,
Carnegie Mellon University

Faculty Candidate: Wenshan Wang

Newell-Simon Hall 4305

Title: Towards General Autonomy: Learning from Simulation, Interaction, and Demonstration Abstract: Today's autonomous systems are still brittle in challenging environments or rely on designers to anticipate all possible scenarios to respond appropriately. On the other hand, leveraging machine learning techniques, robot systems are trained in simulation or the real world for various tasks. Due to [...]