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09/19/2023
Prompt, Condition, and Generate: Classification of Unsupported Claims with In-Context Learning
Unsupported and unfalsifiable claims we encounter in our daily lives can...
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08/31/2023
Learning to Taste: A Multimodal Wine Dataset
We present WineSensed, a large multimodal wine dataset for studying the ...
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05/03/2023
Fashionpedia-Ads: Do Your Favorite Advertisements Reveal Your Fashion Taste?
Consumers are exposed to advertisements across many different domains on...
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05/03/2023
Fashionpedia-Taste: A Dataset towards Explaining Human Fashion Taste
Existing fashion datasets do not consider the multi-facts that cause a c...
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03/30/2023
Discriminative Class Tokens for Text-to-Image Diffusion Models
Recent advances in text-to-image diffusion models have enabled the gener...
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02/09/2023
Polynomial Neural Fields for Subband Decomposition and Manipulation
Neural fields have emerged as a new paradigm for representing signals, t...
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11/28/2022
PyTorch Adapt
PyTorch Adapt is a library for domain adaptation, a type of machine lear...
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11/17/2022
Assessing Neural Network Robustness via Adversarial Pivotal Tuning
The ability to assess the robustness of image classifiers to a diverse s...
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08/19/2022
Searching for Structure in Unfalsifiable Claims
Social media platforms give rise to an abundance of posts and comments o...
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08/15/2022
Benchmarking Validation Methods for Unsupervised Domain Adaptation
This paper compares and ranks 11 UDA validation methods. Validators esti...
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07/21/2022
Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset
We present a new benchmark dataset, Sapsucker Woods 60 (SSW60), for adva...
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07/20/2022
On Label Granularity and Object Localization
Weakly supervised object localization (WSOL) aims to learn representatio...
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06/24/2022
Text-Driven Stylization of Video Objects
We tackle the task of stylizing video objects in an intuitive and semant...
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06/06/2022
Volumetric Disentanglement for 3D Scene Manipulation
Recently, advances in differential volumetric rendering enabled signific...
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03/23/2022
Visual Prompt Tuning
The current modus operandi in adapting pre-trained models involves updat...
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02/08/2022
Residual Aligned: Gradient Optimization for Non-Negative Image Synthesis
In this work, we address an important problem of optical see through (OS...
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02/01/2022
Stay Positive: Non-Negative Image Synthesis for Augmented Reality
In applications such as optical see-through and projector augmented real...
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01/10/2022
Language-driven Semantic Segmentation
We present LSeg, a novel model for language-driven semantic image segmen...
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12/15/2021
Rethinking Nearest Neighbors for Visual Classification
Neural network classifiers have become the de-facto choice for current "...
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11/30/2021
Unsupervised Domain Adaptation: A Reality Check
Interest in unsupervised domain adaptation (UDA) has surged in recent ye...
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11/15/2021
Occluded Video Instance Segmentation: Dataset and ICCV 2021 Challenge
Although deep learning methods have achieved advanced video object recog...
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11/11/2021
Fine-Grained Image Analysis with Deep Learning: A Survey
Fine-grained image analysis (FGIA) is a longstanding and fundamental pro...
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09/06/2021
Robustness and Generalization via Generative Adversarial Training
While deep neural networks have achieved remarkable success in various c...
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08/30/2021
LUAI Challenge 2021 on Learning to Understand Aerial Images
This report summarizes the results of Learning to Understand Aerial Imag...
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06/25/2021
Single Image Texture Translation for Data Augmentation
Recent advances in image synthesis enables one to translate images by le...
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05/28/2021
The Herbarium 2021 Half-Earth Challenge Dataset
Herbarium sheets present a unique view of the world's botanical history,...
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05/12/2021
When Does Contrastive Visual Representation Learning Work?
Recent self-supervised representation learning techniques have largely c...
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04/15/2021
Exploring Visual Engagement Signals for Representation Learning
Visual engagement in social media platforms comprises interactions with ...
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04/15/2021
GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds
We present GANcraft, an unsupervised neural rendering framework for gene...
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03/30/2021
Benchmarking Representation Learning for Natural World Image Collections
Recent progress in self-supervised learning has resulted in models that ...
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02/24/2021
Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges
In the past decade, object detection has achieved significant progress i...
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02/02/2021
Occluded Video Instance Segmentation
Can our video understanding systems perceive objects when a heavy occlus...
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11/11/2020
Intentonomy: a Dataset and Study towards Human Intent Understanding
An image is worth a thousand words, conveying information that goes beyo...
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08/20/2020
PyTorch Metric Learning
Deep metric learning algorithms have a wide variety of applications, but...
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08/14/2020
Learning Gradient Fields for Shape Generation
In this work, we propose a novel technique to generate shapes from point...
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04/26/2020
Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset
In this work we explore the task of instance segmentation with attribute...
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04/24/2020
The Plant Pathology 2020 challenge dataset to classify foliar disease of apples
Apple orchards in the U.S. are under constant threat from a large number...
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04/07/2020
End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection
Reliable and accurate 3D object detection is a necessity for safe autono...
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04/06/2020
DualSDF: Semantic Shape Manipulation using a Two-Level Representation
We are seeing a Cambrian explosion of 3D shape representations for use i...
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03/18/2020
A Metric Learning Reality Check
Deep metric learning papers from the past four years have consistently c...
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02/29/2020
Differentiating through the Fréchet Mean
Recent advances in deep representation learning on Riemannian manifolds ...
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02/25/2020
On Feature Normalization and Data Augmentation
Modern neural network training relies heavily on data augmentation for i...
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12/21/2019
Measuring Dataset Granularity
Despite the increasing visibility of fine-grained recognition in our fie...
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11/20/2019
Fine-grained Synthesis of Unrestricted Adversarial Examples
We propose a novel approach for generating unrestricted adversarial exam...
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10/04/2019
Neural Puppet: Generative Layered Cartoon Characters
We propose a learning based method for generating new animations of a ca...
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09/09/2019
Neural Naturalist: Generating Fine-Grained Image Comparisons
We introduce the new Birds-to-Words dataset of 41k sentences describing ...
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07/23/2019
Enhancing Adversarial Example Transferability with an Intermediate Level Attack
Neural networks are vulnerable to adversarial examples, malicious inputs...
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07/14/2019
FoodX-251: A Dataset for Fine-grained Food Classification
Food classification is a challenging problem due to the large number of ...
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07/09/2019
Positional Normalization
A widely deployed method for reducing the training time of deep neural n...
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06/28/2019