256 citations · 376 across the 13 of their papers we have counts for
14 papers
WildFin: An In-the-Wild Dataset for Fish Behavioral Recognition
Abigail G. Grassick, Jerome Tze-Hou Hsu, Ethan Lin +10
Recent advances in field technology have led to a massive influx of in-the-wild video data for ecological science. The primary bottleneck in leveraging this data is the high cost o…
Modeling Fly Social Behavior with Agent-Centric Pose Forecasting
Eyrun Eyjolfsdottir, Kristin Branson
Understanding animal behavior at an algorithmic level -- what animals attend to, how they form internal representations, and how this maps to action -- remains a central challenge…
MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior
Jennifer J. Sun, Markus Marks, Andrew Ulmer +20
We introduce MABe22, a large-scale, multi-agent video and trajectory benchmark to assess the quality of learned behavior representations. This dataset is collected from a variety o…
Evaluation metrics for behaviour modeling
Daniel Jiwoong Im, Iljung Kwak, Kristin Branson
A primary difficulty with unsupervised discovery of structure in large data sets is a lack of quantitative evaluation criteria. In this work, we propose and investigate several met…
Are skip connections necessary for biologically plausible learning rules?
Daniel Jiwoong Im, Rutuja Patil, Kristin Branson
Backpropagation is the workhorse of deep learning, however, several other biologically-motivated learning rules have been introduced, such as random feedback alignment and differen…
Detecting the Starting Frame of Actions in Video
Iljung S. Kwak, Jian-Zhong Guo, Adam Hantman +2
In this work, we address the problem of precisely localizing key frames of an action, for example, the precise time that a pitcher releases a baseball, or the precise time that a c…