b'Pietro Perona'

research

∙ 08/10/2023

Benchmarking Algorithmic Bias in Face Recognition: An Experimental Approach Using Synthetic Faces and Human Evaluation

We propose an experimental method for measuring bias in face recognition...

0 Hao Liang, et al. ∙

research

∙ 06/05/2023

Spatial Implicit Neural Representations for Global-Scale Species Mapping

Estimating the geographical range of a species from sparse observations ...

4 Elijah Cole, et al. ∙

research

∙ 06/01/2023

Confidence Intervals for Error Rates in Matching Tasks: Critical Review and Recommendations

Matching algorithms are commonly used to predict matches between items i...

0 Riccardo Fogliato, et al. ∙

research

∙ 05/24/2023

Understanding Label Bias in Single Positive Multi-Label Learning

Annotating data for multi-label classification is prohibitively expensiv...

3 Julio Arroyo, et al. ∙

research

∙ 12/14/2022

BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos

Quantifying motion in 3D is important for studying the behavior of human...

11 Jennifer J. Sun, et al. ∙

research

∙ 07/21/2022

The MABe22 Benchmarks for Representation Learning of Multi-Agent Behavior

Real-world behavior is often shaped by complex interactions between mult...

5 Jennifer J. Sun, et al. ∙

research

∙ 07/20/2022

On Label Granularity and Object Localization

Weakly supervised object localization (WSOL) aims to learn representatio...

10 Elijah Cole, et al. ∙

research

∙ 07/20/2022

Visual Knowledge Tracing

Each year, thousands of people learn new visual categorization tasks – r...

15 Neehar Kondapaneni, et al. ∙

research

∙ 07/19/2022

The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting

We present the Caltech Fish Counting Dataset (CFC), a large-scale datase...

34 Justin Kay, et al. ∙

research

∙ 02/11/2022

Towards Weakly-Supervised Text Spotting using a Multi-Task Transformer

Text spotting end-to-end methods have recently gained attention in the l...

12 Yair Kittenplon, et al. ∙

research

∙ 01/25/2022

Rayleigh EigenDirections (REDs): GAN latent space traversals for multidimensional features

We present a method for finding paths in a deep generative model's laten...

5 Guha Balakrishnan, et al. ∙

research

∙ 12/09/2021

Self-Supervised Keypoint Discovery in Behavioral Videos

We propose a method for learning the posture and structure of agents fro...

6 Jennifer J. Sun, et al. ∙

research

∙ 09/28/2021

Weakly Supervised Keypoint Discovery

In this paper, we propose a method for keypoint discovery from a 2D imag...

4 Serim Ryou, et al. ∙

research

∙ 07/03/2021

Species Distribution Modeling for Machine Learning Practitioners: A Review

Conservation science depends on an accurate understanding of what's happ...

0 Sara Beery, et al. ∙

research

∙ 06/17/2021

Multi-Label Learning from Single Positive Labels

Predicting all applicable labels for a given image is known as multi-lab...

2 Elijah Cole, et al. ∙

research

∙ 04/06/2021

The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions

Multi-agent behavior modeling aims to understand the interactions that o...

2 Jennifer J. Sun, et al. ∙

research

∙ 01/29/2021

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...

21 Aditya Deshpande, et al. ∙

research

∙ 12/08/2020

A Number Sense as an Emergent Property of the Manipulating Brain

The ability to understand and manipulate numbers and quantities emerges ...

19 Neehar Kondapaneni, et al. ∙

research

∙ 11/27/2020

Task Programming: Learning Data Efficient Behavior Representations

Specialized domain knowledge is often necessary to accurately annotate t...

17 Jennifer J. Sun, et al. ∙

research

∙ 07/13/2020

Towards causal benchmarking of bias in face analysis algorithms

Measuring algorithmic bias is crucial both to assess algorithmic fairnes...

0 Guha Balakrishnan, et al. ∙

research

∙ 03/03/2020

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

Trained on large datasets, deep learning (DL) can accurately classify vi...

17 Biagio Brattoli, et al. ∙

research

∙ 02/05/2020

Geocoding of trees from street addresses and street-level images

We introduce an approach for updating older tree inventories with geogra...

16 Daniel Laumer, et al. ∙

research

∙ 12/31/2019

HMM-guided frame querying for bandwidth-constrained video search

We design an agent to search for frames of interest in video stored on a...

11 Bhairav Chidambaram, et al. ∙

research

∙ 11/27/2019

PanDA: Panoptic Data Augmentation

The recently proposed panoptic segmentation task presents a significant ...

37 Yang Liu, et al. ∙

research

∙ 10/07/2019

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

Up-to-date catalogs of the urban tree population are important for munic...

21 Steve Branson, et al. ∙

research

∙ 09/24/2019

Anchor Loss: Modulating Loss Scale based on Prediction Difficulty

We propose a novel loss function that dynamically rescales the cross ent...

16 Serim Ryou, et al. ∙

research

∙ 07/15/2019

The iWildCam 2019 Challenge Dataset

Camera Traps (or Wild Cams) enable the automatic collection of large qua...

2 Sara Beery, et al. ∙

research

∙ 06/12/2019

Presence-Only Geographical Priors for Fine-Grained Image Classification

Appearance information alone is often not sufficient to accurately diffe...

0 Oisin Mac Aodha, et al. ∙

research

∙ 04/11/2019

The iWildCam 2018 Challenge Dataset

Camera traps are a valuable tool for studying biodiversity, but research...

0 Sara Beery, et al. ∙

research

∙ 04/11/2019

Synthetic Examples Improve Generalization for Rare Classes

The ability to detect and classify rare occurrences in images has import...

18 Sara Beery, et al. ∙

research

∙ 02/10/2019

Task2Vec: Task Embedding for Meta-Learning

We introduce a method to provide vectorial representations of visual cla...

10 Alessandro Achille, et al. ∙

research

∙ 07/13/2018

Recognition in Terra Incognita

It is desirable for detection and classification algorithms to generaliz...

4 Sara Beery, et al. ∙

research

∙ 05/21/2018

Teaching Multiple Concepts to Forgetful Learners

How can we help a forgetful learner learn multiple concepts within a lim...

0 Anette Hunziker, et al. ∙

research

∙ 05/17/2018

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 ...

0 Matteo Ruggero Ronchi, et al. ∙

research

∙ 04/08/2018

Fast Conditional Independence Test for Vector Variables with Large Sample Sizes

We present and evaluate the Fast (conditional) Independence Test (FIT) -...

0 Krzysztof Chalupka, et al. ∙

research

∙ 02/20/2018

Teaching Categories to Human Learners with Visual Explanations

We study the problem of computer-assisted teaching with explanations. Co...

0 Oisin Mac Aodha, et al. ∙

research

∙ 02/14/2018

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...

0 Yuxin Chen, et al. ∙

research

∙ 09/22/2017

Context Embedding Networks

Low dimensional embeddings that capture the main variations of interest ...

0 Kun ho Kim, et al. ∙

research

∙ 09/05/2017

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...

0 Grant Van Horn, et al. ∙

research

∙ 07/20/2017

The iNaturalist Challenge 2017 Dataset

Existing image classification datasets used in computer vision tend to h...

0 Grant Van Horn, et al. ∙

research

∙ 07/17/2017

Benchmarking and Error Diagnosis in Multi-Instance Pose Estimation

We propose a new method to analyze the impact of errors in algorithms fo...

0 Matteo Ruggero Ronchi, et al. ∙

research

∙ 03/17/2017

Deciding How to Decide: Dynamic Routing in Artificial Neural Networks

We propose and systematically evaluate three strategies for training dyn...

0 Mason McGill, et al. ∙

research

∙ 11/04/2016

Estimating Causal Direction and Confounding of Two Discrete Variables

We propose a method to classify the causal relationship between two disc...

0 Krzysztof Chalupka, et al. ∙

research

∙ 11/01/2016

Learning recurrent representations for hierarchical behavior modeling

We propose a framework for detecting action patterns from motion sequenc...

0 Eyrun Eyjolfsdottir, et al. ∙

research

∙ 10/03/2016

Seeing into Darkness: Scotopic Visual Recognition

Images are formed by counting how many photons traveling from a given se...

0 Bo Chen, et al. ∙

research

∙ 07/12/2016

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...

0 Ron Appel, et al. ∙

research

∙ 05/30/2016

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...

0 Krzysztof Chalupka, et al. ∙

research

∙ 05/20/2016

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...

0 David Hall, et al. ∙

research

∙ 12/25/2015

Multi-Level Cause-Effect Systems

We present a domain-general account of causation that applies to setting...

0 Krzysztof Chalupka, et al. ∙

research

∙ 06/07/2015

Describing Common Human Visual Actions in Images

Which common human actions and interactions are recognizable in monocula...

0 Matteo Ruggero Ronchi, et al. ∙

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