VASC Seminar
Rachel McDonnell
Associate Professor
Creative Technologies, Trinity College Dublin, Ireland

Motion Matters in the Metaverse

3305 Newell-Simon Hall

Abstract:  Abstract: In the early 1970s, Psychologists investigated biological motion perception by attaching point-lights to the joints of the human body, known as ‘point light walkers’. These early experiments showed biological motion perception to be an extreme example of sophisticated pattern analysis in the brain, capable of easily differentiating human motions with reduced motion cues. Further [...]

VASC Seminar
Anand Bhattad
PhD candidate
University of Illinois Urbana-Champaign

What do generative models know about geometry and illumination?

3305 Newell-Simon Hall

Abstract: Generative models can produce compelling pictures of realistic scenes. Objects are in sensible places, surfaces have rich textures, illumination effects appear accurate, and the models are controllable. These models, such as StyleGAN, can also generate semantically meaningful edits of scenes by modifying internal parameters. But do these models manipulate a purely abstract representation of the [...]

VASC Seminar
Saurabh Gupta
Assistant Professor
University of Illinois Urbana-Champaign

Robot Learning by Understanding Egocentric Videos

GHC 8102

Abstract: True gains of machine learning in AI sub-fields such as computer vision and natural language processing have come about from the use of large-scale diverse datasets for learning. In this talk, I will discuss if and how we can leverage large-scale diverse data in the form of egocentric videos (first-person videos of humans conducting [...]

VASC Seminar
Angjoo Kanazawa
Assistant Professor of the Department of Electrical Engineering and Computer Science
, University of California at Berkeley

From Videos to 4D Worlds and Beyond

Newell-Simon Hall 3305

Abstract:  Abstract: The world underlying images and videos is 3-dimensional and dynamic, i.e. 4D, with people interacting with each other, objects, and the underlying scene. Even in videos of a static scene, there is always the camera moving about in the 4D world. Accurately recovering this information is essential for building systems that can reason [...]

VASC Seminar
Sergey Tulyakov
Principal Research Scientist
Snap Inc.

Generative and Animatable Radiance Fields

Newell-Simon Hall 3305

Abstract:  Generating and transforming content requires both creativity and skill. Creativity defines what is being created and why, while skill answers the question of how. While creativity is believed to be abundant, skill can often be a barrier to creativity. In our team, we aim to substantially reduce this barrier. Recent Generative AI methods have simplified the problem for 2D [...]

VASC Seminar
Miguel Angel Bautista
Staff Research Scientist
Apple Machine Learning Research

Generative modeling: from 3D scenes to fields and manifold

Newell-Simon Hall 3305

Abstract: In this keynote talk, we delve into some of our progress on generative models that are able to capture the distribution of intricate and realistic 3D scenes and fields. We explore a formulation of generative modeling that optimizes latent representations for disentangling radiance fields and camera poses, enabling both unconditional and conditional generation of 3D [...]

VASC Seminar
Shervin Ardeshir
Senior Research Scientist
Netflix

Estimating Robustness using Proxies

Newell-Simon Hall 3305

ABSTRACT: This talk covers some of our recent explorations on estimating the robustness of black-box machine learning models across data subpopulations. In other words, if a trained model is uniformly accurate across different types of inputs, or if there are significant performance disparities affecting the different subpopulations. Measuring such a characteristic is fairly straightforward if [...]

VASC Seminar
Or Patashnik
PhD student
Tel-Aviv University

Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures

Newell-Simon Hall 3305

Abstract: In this talk, I will focus on presenting my recent work which will be presented at CVPR in less than two months. Text-guided image generation has progressed rapidly in recent years, inspiring major breakthroughs in text-guided shape generation. Recently, it has been shown that using score distillation, one can successfully text-guide a NeRF model to [...]

VASC Seminar

Navigating to Objects in the Real World

3305 Newell-Simon Hall

Abstract: Semantic navigation is necessary to deploy mobile robots in uncontrolled environments like our homes, schools, and hospitals. Many learning-based approaches have been proposed in response to the lack of semantic understanding of the classical pipeline for spatial navigation, which builds a geometric map using depth sensors and plans to reach point goals. Broadly, end-to-end [...]