414 citations · 1.1k across the 47 of their papers we have counts for
5 papers · 1 filter
Visual Causal Feature Learning
Krzysztof Chalupka, Pietro Perona, Frederick Eberhardt
We provide a rigorous definition of the visual cause of a behavior that is broadly applicable to the visually driven behavior in humans, animals, neurons, robots and other perceivi…
Towards an optimal decision strategy of visual search
Bo Chen, Pietro Perona
Searching for objects amongst clutter is a key ability of visual systems. Speed and accuracy are often crucial: how can the visual system trade off these competing quantities for o…
Reconstructive Sparse Code Transfer for Contour Detection and Semantic Labeling
Michael Maire, Stella X. Yu, Pietro Perona
We frame the task of predicting a semantic labeling as a sparse reconstruction procedure that applies a target-specific learned transfer function to a generic deep sparse code repr…
Bird Species Categorization Using Pose Normalized Deep Convolutional Nets
Steve Branson, Grant Van Horn, Serge Belongie +1
We propose an architecture for fine-grained visual categorization that approaches expert human performance in the classification of bird species. Our architecture first computes an…
Microsoft COCO: Common Objects in Context
Tsung-Yi Lin, Michael Maire, Serge Belongie +7
We present a new dataset with the goal of advancing the state-of-the-art in object recognition by placing the question of object recognition in the context of the broader question…