research
∙
12/14/2022
BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos
Quantifying motion in 3D is important for studying the behavior of human...
share
research
∙
10/10/2022
Neurosymbolic Programming for Science
Neurosymbolic Programming (NP) techniques have the potential to accelera...
research
∙
07/21/2022
The MABe22 Benchmarks for Representation Learning of Multi-Agent Behavior
Real-world behavior is often shaped by complex interactions between mult...
research
∙
06/16/2022
Deep Neural Imputation: A Framework for Recovering Incomplete Brain Recordings
Neuroscientists and neuroengineers have long relied on multielectrode ne...
research
∙
04/06/2022
Open-Source Tools for Behavioral Video Analysis: Setup, Methods, and Development
Recently developed methods for video analysis, especially models for pos...
research
∙
12/09/2021
Self-Supervised Keypoint Discovery in Behavioral Videos
We propose a method for learning the posture and structure of agents fro...
research
∙
11/30/2021
Automatic Synthesis of Diverse Weak Supervision Sources for Behavior Analysis
Obtaining annotations for large training sets is expensive, especially i...
research
∙
07/28/2021
Unsupervised Learning of Neurosymbolic Encoders
We present a framework for the unsupervised learning of neurosymbolic en...
research
∙
06/11/2021
Interpreting Expert Annotation Differences in Animal Behavior
Hand-annotated data can vary due to factors such as subjective differenc...
research
∙
04/06/2021
The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions
Multi-agent behavior modeling aims to understand the interactions that o...
research
∙
12/02/2020
Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization
We introduce a novel representation learning method to disentangle pose-...
research
∙
11/27/2020
Task Programming: Learning Data Efficient Behavior Representations
Specialized domain knowledge is often necessary to accurately annotate t...
research
∙
10/23/2020
View-Invariant, Occlusion-Robust Probabilistic Embedding for Human Pose
Recognition of human poses and activities is crucial for autonomous syst...
research
∙
07/23/2020
Learning Differentiable Programs with Admissible Neural Heuristics
We study the problem of learning differentiable functions expressed as p...
research
∙
01/15/2020
EEV Dataset: Predicting Expressions Evoked by Diverse Videos
When we watch videos, the visual and auditory information we experience ...
research
∙
12/02/2019
View-Invariant Probabilistic Embedding for Human Pose
Depictions of similar human body configurations can vary with changing v...
research
∙
11/27/2019