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08/24/2023
SCoRD: Subject-Conditional Relation Detection with Text-Augmented Data
We propose Subject-Conditional Relation Detection SCoRD, where condition...
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03/30/2023
Going Beyond Nouns With Vision Language Models Using Synthetic Data
Large-scale pre-trained Vision Language (VL) models have shown remar...
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03/21/2023
Visual Representation Learning from Unlabeled Video using Contrastive Masked Autoencoders
Masked Autoencoders (MAEs) learn self-supervised representations by rand...
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03/14/2023
Variation of Gender Biases in Visual Recognition Models Before and After Finetuning
We introduce a framework to measure how biases change before and after f...
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11/22/2022
On the Transferability of Visual Features in Generalized Zero-Shot Learning
Generalized Zero-Shot Learning (GZSL) aims to train a classifier that ca...
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06/30/2022
Improving Visual Grounding by Encouraging Consistent Gradient-based Explanations
We propose a margin-based loss for vision-language model pretraining tha...
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05/19/2022
Towards Understanding Gender-Seniority Compound Bias in Natural Language Generation
Women are often perceived as junior to their male counterparts, even wit...
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03/31/2022
SimVQA: Exploring Simulated Environments for Visual Question Answering
Existing work on VQA explores data augmentation to achieve better genera...
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03/24/2022
Repairing Group-Level Errors for DNNs Using Weighted Regularization
Deep Neural Networks (DNNs) have been widely used in software making dec...
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12/14/2021
CLIP-Lite: Information Efficient Visual Representation Learning from Textual Annotations
We propose CLIP-Lite, an information efficient method for visual represe...
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10/29/2021
Estimating and Maximizing Mutual Information for Knowledge Distillation
In this work, we propose Mutual Information Maximization Knowledge Disti...
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06/16/2021
Evolving Image Compositions for Feature Representation Learning
Convolutional neural networks for visual recognition require large amoun...
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03/22/2021
Instance-level Image Retrieval using Reranking Transformers
Instance-level image retrieval is the task of searching in a large datab...
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12/02/2020
Chair Segments: A Compact Benchmark for the Study of Object Segmentation
Over the years, datasets and benchmarks have had an outsized influence o...
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11/27/2020
General Multi-label Image Classification with Transformers
Multi-label image classification is the task of predicting a set of labe...
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10/08/2020
VisualNews : Benchmark and Challenges in Entity-aware Image Captioning
In this paper we propose VisualNews-Captioner, an entity-aware model for...
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06/05/2020
Black-box Explanation of Object Detectors via Saliency Maps
We propose D-RISE, a method for generating visual explanations for the p...
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05/03/2020
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation
Word embeddings derived from human-generated corpora inherit strong gend...
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01/16/2020
Curriculum Labeling: Self-paced Pseudo-Labeling for Semi-Supervised Learning
Semi-supervised learning aims to take advantage of a large amount of unl...
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11/10/2019
Drill-down: Interactive Retrieval of Complex Scenes using Natural Language Queries
This paper explores the task of interactive image retrieval using natura...
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08/08/2019
Moviescope: Large-scale Analysis of Movies using Multiple Modalities
Film media is a rich form of artistic expression. Unlike photography, an...
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05/20/2019
Testing Deep Neural Network based Image Classifiers
Image classification is an important task in today's world with many app...
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04/05/2019
Gender Bias in Contextualized Word Embeddings
In this paper, we quantify, analyze and mitigate gender bias exhibited i...
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12/10/2018
Chat-crowd: A Dialog-based Platform for Visual Layout Composition
In this paper we introduce Chat-crowd, an interactive environment for vi...
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11/20/2018
Adversarial Removal of Gender from Deep Image Representations
In this work we analyze visual recognition tasks such as object and acti...
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09/04/2018
Text2Scene: Generating Abstract Scenes from Textual Descriptions
In this paper, we propose an end-to-end model that learns to interpret n...
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05/22/2018
Deep Feature Aggregation with Heat Diffusion for Image Retrieval
Image-level feature descriptors obtained from convolutional neural netwo...
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05/22/2018
Image Retrieval using Heat Diffusion for Deep Feature Aggregation
Image-level feature descriptors obtained from convolutional neural netwo...
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04/18/2018
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods
We introduce a new benchmark, WinoBias, for coreference resolution focus...
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10/23/2017
Feedback-prop: Convolutional Neural Network Inference under Partial Evidence
In this paper, we propose an inference procedure for deep convolutional ...
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07/29/2017
Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints
Language is increasingly being used to define rich visual recognition pr...
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07/22/2017
OBJ2TEXT: Generating Visually Descriptive Language from Object Layouts
Generating captions for images is a task that has recently received cons...
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06/04/2017
Where and Who? Automatic Semantic-Aware Person Composition
Image compositing is a method used to generate realistic yet fake imager...
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12/03/2016
Commonly Uncommon: Semantic Sparsity in Situation Recognition
Semantic sparsity is a common challenge in structured visual classificat...
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03/16/2016
