733 citations · 2k across the 15 of their papers we have counts for
16 papers
AmadeusGPT: a natural language interface for interactive animal behavioral analysis
Shaokai Ye, Jessy Lauer, Mu Zhou +2
The process of quantifying and analyzing animal behavior involves translating the naturally occurring descriptive language of their actions into machine-readable code. Yet, codifyi…
Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity
Mu Zhou, Lucas Stoffl, Mackenzie Weygandt Mathis +1
Frequent interactions between individuals are a fundamental challenge for pose estimation algorithms. Current pipelines either use an object detector together with a pose estimator…
Latent Exploration for Reinforcement Learning
Alberto Silvio Chiappa, Alessandro Marin Vargas, Ann Zixiang Huang +1
In Reinforcement Learning, agents learn policies by exploring and interacting with the environment. Due to the curse of dimensionality, learning policies that map high-dimensional…
DMAP: a Distributed Morphological Attention Policy for Learning to Locomote with a Changing Body
Alberto Silvio Chiappa, Alessandro Marin Vargas, Alexander Mathis
Biological and artificial agents need to deal with constant changes in the real world. We study this problem in four classical continuous control environments, augmented with morph…
SuperAnimal pretrained pose estimation models for behavioral analysis
Shaokai Ye, Anastasiia Filippova, Jessy Lauer +5
Quantification of behavior is critical in applications ranging from neuroscience, veterinary medicine and animal conservation efforts. A common key step for behavioral analysis is…
Seeing biodiversity: perspectives in machine learning for wildlife conservation
Devis Tuia, Benjamin Kellenberger, Sara Beery +15
Data acquisition in animal ecology is rapidly accelerating due to inexpensive and accessible sensors such as smartphones, drones, satellites, audio recorders and bio-logging device…