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04/10/2023
Artifact magnification on deepfake videos increases human detection and subjective confidence
The development of technologies for easily and automatically falsifying ...
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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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06/01/2022
Deepfake Caricatures: Amplifying attention to artifacts increases deepfake detection by humans and machines
Deepfakes pose a serious threat to our digital society by fueling the sp...
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08/23/2021
Dynamic Network Quantization for Efficient Video Inference
Deep convolutional networks have recently achieved great success in vide...
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06/23/2021
IA-RED^2: Interpretability-Aware Redundancy Reduction for Vision Transformers
The self-attention-based model, transformer, is recently becoming the le...
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06/10/2021
Cross-Modal Discrete Representation Learning
Recent advances in representation learning have demonstrated an ability ...
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05/11/2021
AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition
Multi-modal learning, which focuses on utilizing various modalities to i...
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05/10/2021
Spoken Moments: Learning Joint Audio-Visual Representations from Video Descriptions
When people observe events, they are able to abstract key information an...
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04/01/2021
Memorability: An image-computable measure of information utility
The pixels in an image, and the objects, scenes, and actions that they c...
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03/19/2021
Paint by Word
We investigate the problem of zero-shot semantic image painting. Instead...
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03/02/2021
All at Once Network Quantization via Collaborative Knowledge Transfer
Network quantization has rapidly become one of the most widely used meth...
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02/15/2021
VA-RED^2: Video Adaptive Redundancy Reduction
Performing inference on deep learning models for videos remains a challe...
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02/10/2021
AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition
Temporal modelling is the key for efficient video action recognition. Wh...
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10/22/2020
Deep Analysis of CNN-based Spatio-temporal Representations for Action Recognition
In recent years, a number of approaches based on 2D CNNs and 3D CNNs hav...
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09/05/2020
Multimodal Memorability: Modeling Effects of Semantics and Decay on Video Memorability
A key capability of an intelligent system is deciding when events from p...
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08/12/2020
We Have So Much In Common: Modeling Semantic Relational Set Abstractions in Videos
Identifying common patterns among events is a key ability in human and m...
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07/31/2020
AR-Net: Adaptive Frame Resolution for Efficient Action Recognition
Action recognition is an open and challenging problem in computer vision...
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11/01/2019
Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding
An event happening in the world is often made of different activities an...
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09/10/2019
Reasoning About Human-Object Interactions Through Dual Attention Networks
Objects are entities we act upon, where the functionality of an object i...
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06/24/2019
GANalyze: Toward Visual Definitions of Cognitive Image Properties
We introduce a framework that uses Generative Adversarial Networks (GANs...
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06/09/2019
Cross-view Semantic Segmentation for Sensing Surroundings
Sensing surroundings is ubiquitous and effortless to humans: It takes a ...
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05/14/2019
The Algonauts Project: A Platform for Communication between the Sciences of Biological and Artificial Intelligence
In the last decade, artificial intelligence (AI) models inspired by the ...
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07/27/2018
Synthetically Trained Icon Proposals for Parsing and Summarizing Infographics
Widely used in news, business, and educational media, infographics are h...
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01/09/2018
Moments in Time Dataset: one million videos for event understanding
We present the Moments in Time Dataset, a large-scale human-annotated co...
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11/15/2017
Interpreting Deep Visual Representations via Network Dissection
The success of recent deep convolutional neural networks (CNNs) depends ...
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09/26/2017
Understanding Infographics through Textual and Visual Tag Prediction
We introduce the problem of visual hashtag discovery for infographics: e...
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04/19/2017
Network Dissection: Quantifying Interpretability of Deep Visual Representations
We propose a general framework called Network Dissection for quantifying...
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10/06/2016
Places: An Image Database for Deep Scene Understanding
The rise of multi-million-item dataset initiatives has enabled data-hung...
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04/12/2016
What do different evaluation metrics tell us about saliency models?
How best to evaluate a saliency model's ability to predict where humans ...
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01/12/2016
Deep Neural Networks predict Hierarchical Spatio-temporal Cortical Dynamics of Human Visual Object Recognition
The complex multi-stage architecture of cortical visual pathways provide...
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12/14/2015
Learning Deep Features for Discriminative Localization
In this work, we revisit the global average pooling layer proposed in [1...
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12/22/2014
Object Detectors Emerge in Deep Scene CNNs
With the success of new computational architectures for visual processin...
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10/17/2014