
-
The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions
Multi-agent behavior modeling aims to understand the interactions that o...
read it
-
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...
read it
-
A Number Sense as an Emergent Property of the Manipulating Brain
The ability to understand and manipulate numbers and quantities emerges ...
read it
-
Task Programming: Learning Data Efficient Behavior Representations
Specialized domain knowledge is often necessary to accurately annotate t...
read it
-
Towards causal benchmarking of bias in face analysis algorithms
Measuring algorithmic bias is crucial both to assess algorithmic fairnes...
read it
-
Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications
Trained on large datasets, deep learning (DL) can accurately classify vi...
read it
-
Geocoding of trees from street addresses and street-level images
We introduce an approach for updating older tree inventories with geogra...
read it
-
HMM-guided frame querying for bandwidth-constrained video search
We design an agent to search for frames of interest in video stored on a...
read it
-
PanDA: Panoptic Data Augmentation
The recently proposed panoptic segmentation task presents a significant ...
read it
-
From Google Maps to a Fine-Grained Catalog of Street trees
Up-to-date catalogs of the urban tree population are important for munic...
read it
-
Anchor Loss: Modulating Loss Scale based on Prediction Difficulty
We propose a novel loss function that dynamically rescales the cross ent...
read it
-
The iWildCam 2019 Challenge Dataset
Camera Traps (or Wild Cams) enable the automatic collection of large qua...
read it
-
Presence-Only Geographical Priors for Fine-Grained Image Classification
Appearance information alone is often not sufficient to accurately diffe...
read it
-
The iWildCam 2018 Challenge Dataset
Camera traps are a valuable tool for studying biodiversity, but research...
read it
-
Synthetic Examples Improve Generalization for Rare Classes
The ability to detect and classify rare occurrences in images has import...
read it
-
Task2Vec: Task Embedding for Meta-Learning
We introduce a method to provide vectorial representations of visual cla...
read it
-
Recognition in Terra Incognita
It is desirable for detection and classification algorithms to generaliz...
read it
-
Teaching Multiple Concepts to Forgetful Learners
How can we help a forgetful learner learn multiple concepts within a lim...
read it
-
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 ...
read it
-
Fast Conditional Independence Test for Vector Variables with Large Sample Sizes
We present and evaluate the Fast (conditional) Independence Test (FIT) -...
read it
-
Teaching Categories to Human Learners with Visual Explanations
We study the problem of computer-assisted teaching with explanations. Co...
read it
-
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...
read it
-
Context Embedding Networks
Low dimensional embeddings that capture the main variations of interest ...
read it
-
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...
read it
-
The iNaturalist Challenge 2017 Dataset
Existing image classification datasets used in computer vision tend to h...
read it
-
Benchmarking and Error Diagnosis in Multi-Instance Pose Estimation
We propose a new method to analyze the impact of errors in algorithms fo...
read it
-
Deciding How to Decide: Dynamic Routing in Artificial Neural Networks
We propose and systematically evaluate three strategies for training dyn...
read it
-
Estimating Causal Direction and Confounding of Two Discrete Variables
We propose a method to classify the causal relationship between two disc...
read it
-
Learning recurrent representations for hierarchical behavior modeling
We propose a framework for detecting action patterns from motion sequenc...
read it
-
Seeing into Darkness: Scotopic Visual Recognition
Images are formed by counting how many photons traveling from a given se...
read it
-
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...
read it
-
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...
read it
-
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...
read it
-
Multi-Level Cause-Effect Systems
We present a domain-general account of causation that applies to setting...
read it
-
Describing Common Human Visual Actions in Images
Which common human actions and interactions are recognizable in monocula...
read it
-
Visual Causal Feature Learning
We provide a rigorous definition of the visual cause of a behavior that ...
read it
-
Reconstructive Sparse Code Transfer for Contour Detection and Semantic Labeling
We frame the task of predicting a semantic labeling as a sparse reconstr...
read it
-
Bird Species Categorization Using Pose Normalized Deep Convolutional Nets
We propose an architecture for fine-grained visual categorization that a...
read it
-
Microsoft COCO: Common Objects in Context
We present a new dataset with the goal of advancing the state-of-the-art...
read it
-
Semisupervised Classifier Evaluation and Recalibration
How many labeled examples are needed to estimate a classifier's performa...
read it