Pietro Perona

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Amazon ∙ California Institute of Technology

Allen E. Puckett Professor of Electrical Engineering and of Computation and Neural Systems at California Institute of Technology

The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions

Multi-agent behavior modeling aims to understand the interactions that o...
04/06/2021 ∙ by Jennifer J. Sun, et al. ∙ 2 ∙ share

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A linearized framework and a new benchmark for model selection for fine-tuning

Fine-tuning from a collection of models pre-trained on different domains...
01/29/2021 ∙ by Aditya Deshpande, et al. ∙ 21 ∙ share

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A Number Sense as an Emergent Property of the Manipulating Brain

The ability to understand and manipulate numbers and quantities emerges ...
12/08/2020 ∙ by Neehar Kondapaneni, et al. ∙ 19 ∙ share

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Task Programming: Learning Data Efficient Behavior Representations

Specialized domain knowledge is often necessary to accurately annotate t...
11/27/2020 ∙ by Jennifer J. Sun, et al. ∙ 17 ∙ share

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Towards causal benchmarking of bias in face analysis algorithms

Measuring algorithmic bias is crucial both to assess algorithmic fairnes...
07/13/2020 ∙ by Guha Balakrishnan, et al. ∙ 0 ∙ share

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Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications

Trained on large datasets, deep learning (DL) can accurately classify vi...
03/03/2020 ∙ by Biagio Brattoli, et al. ∙ 17 ∙ share

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Geocoding of trees from street addresses and street-level images

We introduce an approach for updating older tree inventories with geogra...
02/05/2020 ∙ by Daniel Laumer, et al. ∙ 16 ∙ share

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HMM-guided frame querying for bandwidth-constrained video search

We design an agent to search for frames of interest in video stored on a...
12/31/2019 ∙ by Bhairav Chidambaram, et al. ∙ 11 ∙ share

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PanDA: Panoptic Data Augmentation

The recently proposed panoptic segmentation task presents a significant ...
11/27/2019 ∙ by Yang Liu, et al. ∙ 37 ∙ share

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From Google Maps to a Fine-Grained Catalog of Street trees

Up-to-date catalogs of the urban tree population are important for munic...
10/07/2019 ∙ by Steve Branson, et al. ∙ 21 ∙ share

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Anchor Loss: Modulating Loss Scale based on Prediction Difficulty

We propose a novel loss function that dynamically rescales the cross ent...
09/24/2019 ∙ by Serim Ryou, et al. ∙ 16 ∙ share

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The iWildCam 2019 Challenge Dataset

Camera Traps (or Wild Cams) enable the automatic collection of large qua...
07/15/2019 ∙ by Sara Beery, et al. ∙ 2 ∙ share

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Presence-Only Geographical Priors for Fine-Grained Image Classification

Appearance information alone is often not sufficient to accurately diffe...
06/12/2019 ∙ by Oisin Mac Aodha, et al. ∙ 0 ∙ share

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The iWildCam 2018 Challenge Dataset

Camera traps are a valuable tool for studying biodiversity, but research...
04/11/2019 ∙ by Sara Beery, et al. ∙ 0 ∙ share

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Synthetic Examples Improve Generalization for Rare Classes

The ability to detect and classify rare occurrences in images has import...
04/11/2019 ∙ by Sara Beery, et al. ∙ 18 ∙ share

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Task2Vec: Task Embedding for Meta-Learning

We introduce a method to provide vectorial representations of visual cla...
02/10/2019 ∙ by Alessandro Achille, et al. ∙ 10 ∙ share

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Recognition in Terra Incognita

It is desirable for detection and classification algorithms to generaliz...
07/13/2018 ∙ by Sara Beery, et al. ∙ 4 ∙ share

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Teaching Multiple Concepts to Forgetful Learners

How can we help a forgetful learner learn multiple concepts within a lim...
05/21/2018 ∙ by Anette Hunziker, et al. ∙ 0 ∙ share

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It's all Relative: Monocular 3D Human Pose Estimation from Weakly Supervised Data

We address the problem of 3D human pose estimation from 2D input images ...
05/17/2018 ∙ by Matteo Ruggero Ronchi, et al. ∙ 0 ∙ share

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Fast Conditional Independence Test for Vector Variables with Large Sample Sizes

We present and evaluate the Fast (conditional) Independence Test (FIT) -...
04/08/2018 ∙ by Krzysztof Chalupka, et al. ∙ 0 ∙ share

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Teaching Categories to Human Learners with Visual Explanations

We study the problem of computer-assisted teaching with explanations. Co...
02/20/2018 ∙ by Oisin Mac Aodha, et al. ∙ 0 ∙ share

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Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners

In real-world applications of education and human teaching, an effective...
02/14/2018 ∙ by Yuxin Chen, et al. ∙ 0 ∙ share

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Context Embedding Networks

Low dimensional embeddings that capture the main variations of interest ...
09/22/2017 ∙ by Kun ho Kim, et al. ∙ 0 ∙ share

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The Devil is in the Tails: Fine-grained Classification in the Wild

The world is long-tailed. What does this mean for computer vision and vi...
09/05/2017 ∙ by Grant Van Horn, et al. ∙ 0 ∙ share

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The iNaturalist Challenge 2017 Dataset

Existing image classification datasets used in computer vision tend to h...
07/20/2017 ∙ by Grant Van Horn, et al. ∙ 0 ∙ share

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Benchmarking and Error Diagnosis in Multi-Instance Pose Estimation

We propose a new method to analyze the impact of errors in algorithms fo...
07/17/2017 ∙ by Matteo Ruggero Ronchi, et al. ∙ 0 ∙ share

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Deciding How to Decide: Dynamic Routing in Artificial Neural Networks

We propose and systematically evaluate three strategies for training dyn...
03/17/2017 ∙ by Mason McGill, et al. ∙ 0 ∙ share

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Estimating Causal Direction and Confounding of Two Discrete Variables

We propose a method to classify the causal relationship between two disc...
11/04/2016 ∙ by Krzysztof Chalupka, et al. ∙ 0 ∙ share

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Learning recurrent representations for hierarchical behavior modeling

We propose a framework for detecting action patterns from motion sequenc...
11/01/2016 ∙ by Eyrun Eyjolfsdottir, et al. ∙ 0 ∙ share

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Seeing into Darkness: Scotopic Visual Recognition

Images are formed by counting how many photons traveling from a given se...
10/03/2016 ∙ by Bo Chen, et al. ∙ 0 ∙ share

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Improved Multi-Class Cost-Sensitive Boosting via Estimation of the Minimum-Risk Class

We present a simple unified framework for multi-class cost-sensitive boo...
07/12/2016 ∙ by Ron Appel, et al. ∙ 0 ∙ share

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Unsupervised Discovery of El Nino Using Causal Feature Learning on Microlevel Climate Data

We show that the climate phenomena of El Nino and La Nina arise naturall...
05/30/2016 ∙ by Krzysztof Chalupka, et al. ∙ 0 ∙ share

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Fine-Grained Classification of Pedestrians in Video: Benchmark and State of the Art

A video dataset that is designed to study fine-grained categorisation of...
05/20/2016 ∙ by David Hall, et al. ∙ 0 ∙ share

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Multi-Level Cause-Effect Systems

We present a domain-general account of causation that applies to setting...
12/25/2015 ∙ by Krzysztof Chalupka, et al. ∙ 0 ∙ share

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Describing Common Human Visual Actions in Images

Which common human actions and interactions are recognizable in monocula...
06/07/2015 ∙ by Matteo Ruggero Ronchi, et al. ∙ 0 ∙ share

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Visual Causal Feature Learning

We provide a rigorous definition of the visual cause of a behavior that ...
12/07/2014 ∙ by Krzysztof Chalupka, et al. ∙ 0 ∙ share

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Reconstructive Sparse Code Transfer for Contour Detection and Semantic Labeling

We frame the task of predicting a semantic labeling as a sparse reconstr...
10/16/2014 ∙ by Michael Maire, et al. ∙ 0 ∙ share

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Bird Species Categorization Using Pose Normalized Deep Convolutional Nets

We propose an architecture for fine-grained visual categorization that a...
06/11/2014 ∙ by Steve Branson, et al. ∙ 0 ∙ share

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Microsoft COCO: Common Objects in Context

We present a new dataset with the goal of advancing the state-of-the-art...
05/01/2014 ∙ by Tsung-Yi Lin, et al. ∙ 0 ∙ share

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Semisupervised Classifier Evaluation and Recalibration

How many labeled examples are needed to estimate a classifier's performa...
10/08/2012 ∙ by Peter Welinder, et al. ∙ 0 ∙ share

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Pietro Perona

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