414 citations · 1.1k across the 47 of their papers we have counts for
6 papers · 1 filter
Learning recurrent representations for hierarchical behavior modeling
Eyrun Eyjolfsdottir, Kristin Branson, Yisong Yue +1
We propose a framework for detecting action patterns from motion sequences and modeling the sensory-motor relationship of animals, using a generative recurrent neural network. The…
Estimating Causal Direction and Confounding of Two Discrete Variables
Krzysztof Chalupka, Frederick Eberhardt, Pietro Perona
We propose a method to classify the causal relationship between two discrete variables given only the joint distribution of the variables, acknowledging that the method is subject…
Seeing into Darkness: Scotopic Visual Recognition
Bo Chen, Pietro Perona
Images are formed by counting how many photons traveling from a given set of directions hit an image sensor during a given time interval. When photons are few and far in between, t…
Improved Multi-Class Cost-Sensitive Boosting via Estimation of the Minimum-Risk Class
Ron Appel, Xavier Burgos-Artizzu, Pietro Perona
We present a simple unified framework for multi-class cost-sensitive boosting. The minimum-risk class is estimated directly, rather than via an approximation of the posterior distr…
Unsupervised Discovery of El Nino Using Causal Feature Learning on Microlevel Climate Data
Krzysztof Chalupka, Tobias Bischoff, Pietro Perona +1
We show that the climate phenomena of El Nino and La Nina arise naturally as states of macro-variables when our recent causal feature learning framework (Chalupka 2015, Chalupka 20…
Fine-Grained Classification of Pedestrians in Video: Benchmark and State of the Art
David Hall, Pietro Perona
A video dataset that is designed to study fine-grained categorisation of pedestrians is introduced. Pedestrians were recorded "in-the-wild" from a moving vehicle. Annotations inclu…