Seminar
Calendar of Events
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1 event,
VASC Seminar
Boyi Li
NVIDIA Research and Visiting Scholar at UC Berkeley
Multimodal Modeling: Learning Beyond Visual Knowledge
Abstract: The computer vision community has embraced the success of learning specialist models by training with a fixed set of predetermined object categories, such as ImageNet or COCO. However, learning only from visual knowledge might hinder the flexibility and generality of visual models, which requires additional labeled data to specify any other visual concept and […]
1 event,
VASC Seminar
Alexander Richard
Reality Labs Research
Audio-Visual Learning for Social Telepresence
Abstract Relationships between people are strongly influenced by distance. Even with today’s technology, remote communication is limited to a two-dimensional audio-visual experience and lacks the availability of a shared, three-dimensional space in which people can interact with each other over the distance. Our mission at Reality Labs Research (RLR) in Pittsburgh is to develop such [...]
1 event,
VASC Seminar
Representations in Robot Manipulation: Learning to Manipulate Ropes, Fabrics, Bags, and Liquids
Abstract: The robotics community has seen significant progress in applying machine learning for robot manipulation. However, much manipulation research focuses on rigid objects instead of highly deformable objects such as ropes, fabrics, bags, and liquids, which pose challenges due to their complex configuration spaces, dynamics, and self-occlusions. To achieve greater progress in robot manipulation of [...]
1 event,
RI Seminar
Soon-Jo Chung
Department of Aerospace , Caltech
Safe and Stable Learning for Agile Robots without Reinforcement Learning
Abstract: My research group (https://aerospacerobotics.caltech.edu/) is working to systematically leverage AI and Machine Learning techniques towards achieving safe and stable autonomy of safety-critical robotic systems, such as robot swarms and autonomous flying cars. Another example is LEONARDO, the world's first bipedal robot that can walk, fly, slackline, and skateboard. Stability and safety are often research problems [...]
1 event,
VASC Seminar
Jean-François Lalonde
Université Lava
Towards editable indoor lighting estimation
Abstract: Combining virtual and real visual elements into a single, realistic image requires the accurate estimation of the lighting conditions of the real scene. In recent years, several approaches of increasing complexity---ranging from simple encoder-decoder architecture to more sophisticated volumetric neural rendering---have been proposed. While the quality of automatic estimates has increased, they have the unfortunate downside [...]