Serge Belongie

research

∙ 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...

0 Peter Ebert Christensen, et al. ∙

research

∙ 08/31/2023

Learning to Taste: A Multimodal Wine Dataset

We present WineSensed, a large multimodal wine dataset for studying the ...

0 Thoranna Bender, et al. ∙

research

∙ 05/03/2023

Fashionpedia-Ads: Do Your Favorite Advertisements Reveal Your Fashion Taste?

Consumers are exposed to advertisements across many different domains on...

0 Mengyun Shi, et al. ∙

research

∙ 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...

0 Mengyun Shi, et al. ∙

research

∙ 03/30/2023

Discriminative Class Tokens for Text-to-Image Diffusion Models

Recent advances in text-to-image diffusion models have enabled the gener...

9 Idan Schwartz, et al. ∙

research

∙ 02/09/2023

Polynomial Neural Fields for Subband Decomposition and Manipulation

Neural fields have emerged as a new paradigm for representing signals, t...

3 Guandao Yang, et al. ∙

research

∙ 11/28/2022

PyTorch Adapt

PyTorch Adapt is a library for domain adaptation, a type of machine lear...

0 Kevin Musgrave, et al. ∙

research

∙ 11/17/2022

Assessing Neural Network Robustness via Adversarial Pivotal Tuning

The ability to assess the robustness of image classifiers to a diverse s...

0 Peter Ebert Christensen, et al. ∙

research

∙ 08/19/2022

Searching for Structure in Unfalsifiable Claims

Social media platforms give rise to an abundance of posts and comments o...

0 Peter Ebert Christensen, et al. ∙

research

∙ 08/15/2022

Benchmarking Validation Methods for Unsupervised Domain Adaptation

This paper compares and ranks 11 UDA validation methods. Validators esti...

3 Kevin Musgrave, et al. ∙

research

∙ 07/21/2022

Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset

We present a new benchmark dataset, Sapsucker Woods 60 (SSW60), for adva...

4 Grant Van Horn, 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

∙ 06/24/2022

Text-Driven Stylization of Video Objects

We tackle the task of stylizing video objects in an intuitive and semant...

4 Sebastian Loeschcke, et al. ∙

research

∙ 06/06/2022

Volumetric Disentanglement for 3D Scene Manipulation

Recently, advances in differential volumetric rendering enabled signific...

7 Sagie Benaim, et al. ∙

research

∙ 03/23/2022

Visual Prompt Tuning

The current modus operandi in adapting pre-trained models involves updat...

7 Menglin Jia, et al. ∙

research

∙ 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...

6 Flora Yu Shen, et al. ∙

research

∙ 02/01/2022

Stay Positive: Non-Negative Image Synthesis for Augmented Reality

In applications such as optical see-through and projector augmented real...

1 Katie Luo, et al. ∙

research

∙ 01/10/2022

Language-driven Semantic Segmentation

We present LSeg, a novel model for language-driven semantic image segmen...

7 Boyi Li, et al. ∙

research

∙ 12/15/2021

Rethinking Nearest Neighbors for Visual Classification

Neural network classifiers have become the de-facto choice for current "...

23 Menglin Jia, et al. ∙

research

∙ 11/30/2021

Unsupervised Domain Adaptation: A Reality Check

Interest in unsupervised domain adaptation (UDA) has surged in recent ye...

3 Kevin Musgrave, et al. ∙

research

∙ 11/15/2021

Occluded Video Instance Segmentation: Dataset and ICCV 2021 Challenge

Although deep learning methods have achieved advanced video object recog...

12 Jiyang Qi, et al. ∙

research

∙ 11/11/2021

Fine-Grained Image Analysis with Deep Learning: A Survey

Fine-grained image analysis (FGIA) is a longstanding and fundamental pro...

17 Xiu-Shen Wei, et al. ∙

research

∙ 09/06/2021

Robustness and Generalization via Generative Adversarial Training

While deep neural networks have achieved remarkable success in various c...

2 Omid Poursaeed, et al. ∙

research

∙ 08/30/2021

LUAI Challenge 2021 on Learning to Understand Aerial Images

This report summarizes the results of Learning to Understand Aerial Imag...

3 Gui-Song Xia, et al. ∙

research

∙ 06/25/2021

Single Image Texture Translation for Data Augmentation

Recent advances in image synthesis enables one to translate images by le...

5 Boyi Li, et al. ∙

research

∙ 05/28/2021

The Herbarium 2021 Half-Earth Challenge Dataset

Herbarium sheets present a unique view of the world's botanical history,...

7 Riccardo de Lutio, et al. ∙

research

∙ 05/12/2021

When Does Contrastive Visual Representation Learning Work?

Recent self-supervised representation learning techniques have largely c...

4 Elijah Cole, et al. ∙

research

∙ 04/15/2021

Exploring Visual Engagement Signals for Representation Learning

Visual engagement in social media platforms comprises interactions with ...

16 Menglin Jia, et al. ∙

research

∙ 04/15/2021

GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds

We present GANcraft, an unsupervised neural rendering framework for gene...

16 Zekun Hao, et al. ∙

research

∙ 03/30/2021

Benchmarking Representation Learning for Natural World Image Collections

Recent progress in self-supervised learning has resulted in models that ...

2 Grant Van Horn, et al. ∙

research

∙ 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...

5 Jian Ding, et al. ∙

research

∙ 02/02/2021

Occluded Video Instance Segmentation

Can our video understanding systems perceive objects when a heavy occlus...

12 Jiyang Qi, et al. ∙

research

∙ 11/11/2020

Intentonomy: a Dataset and Study towards Human Intent Understanding

An image is worth a thousand words, conveying information that goes beyo...

40 Menglin Jia, et al. ∙

research

∙ 08/20/2020

PyTorch Metric Learning

Deep metric learning algorithms have a wide variety of applications, but...

60 Kevin Musgrave, et al. ∙

research

∙ 08/14/2020

Learning Gradient Fields for Shape Generation

In this work, we propose a novel technique to generate shapes from point...

25 Ruojin Cai, et al. ∙

research

∙ 04/26/2020

Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset

In this work we explore the task of instance segmentation with attribute...

2 Menglin Jia, et al. ∙

research

∙ 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...

16 Ranjita Thapa, et al. ∙

research

∙ 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...

6 Rui Qian, et al. ∙

research

∙ 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...

4 Zekun Hao, et al. ∙

research

∙ 03/18/2020

A Metric Learning Reality Check

Deep metric learning papers from the past four years have consistently c...

85 Kevin Musgrave, et al. ∙

research

∙ 02/29/2020

Differentiating through the Fréchet Mean

Recent advances in deep representation learning on Riemannian manifolds ...

23 Aaron Lou, et al. ∙

research

∙ 02/25/2020

On Feature Normalization and Data Augmentation

Modern neural network training relies heavily on data augmentation for i...

19 Boyi Li, et al. ∙

research

∙ 12/21/2019

Measuring Dataset Granularity

Despite the increasing visibility of fine-grained recognition in our fie...

54 Yin Cui, et al. ∙

research

∙ 11/20/2019

Fine-grained Synthesis of Unrestricted Adversarial Examples

We propose a novel approach for generating unrestricted adversarial exam...

12 Omid Poursaeed, et al. ∙

research

∙ 10/04/2019

Neural Puppet: Generative Layered Cartoon Characters

We propose a learning based method for generating new animations of a ca...

17 Omid Poursaeed, et al. ∙

research

∙ 09/09/2019

Neural Naturalist: Generating Fine-Grained Image Comparisons

We introduce the new Birds-to-Words dataset of 41k sentences describing ...

10 Maxwell Forbes, et al. ∙

research

∙ 07/23/2019

Enhancing Adversarial Example Transferability with an Intermediate Level Attack

Neural networks are vulnerable to adversarial examples, malicious inputs...

0 Qian Huang, et al. ∙

research

∙ 07/14/2019

FoodX-251: A Dataset for Fine-grained Food Classification

Food classification is a challenging problem due to the large number of ...

0 Parneet Kaur, et al. ∙

research

∙ 07/09/2019

Positional Normalization

A widely deployed method for reducing the training time of deep neural n...

3 Boyi Li, et al. ∙

research

∙ 06/28/2019

PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows

As 3D point clouds become the representation of choice for multiple visi...

5 Guandao Yang, et al. ∙

Serge Belongie

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