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Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

International journal of computer vision, 2020-02, Vol.128 (2), p.336-359

2020

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Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, p.4971-4980

2018

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Knowing When to Look: Adaptive Attention via a Visual Sentinel for Image Captioning

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, p.3242-3250

2017

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Joint Unsupervised Learning of Deep Representations and Image Clusters

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, p.5147-5156

2016

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Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

2017 IEEE International Conference on Computer Vision (ICCV), 2017, p.618-626

2017

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Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, p.6325-6334

2017

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Cycle-Consistency for Robust Visual Question Answering

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, p.6642-6651

2019

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Learning the Visual Interpretation of Sentences

2013 IEEE International Conference on Computer Vision, 2013, p.1681-1688

2013

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Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering

International journal of computer vision, 2019-04, Vol.127 (4), p.398-414

2019

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Open Catalyst 2020 (OC20) Dataset and Community Challenges

ACS catalysis, 2021-05, Vol.11 (10), p.6059-6072

2021

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Large-Scale Pretraining for Visual Dialog: A Simple State-of-the-Art Baseline

Computer Vision - ECCV 2020, 2020, Vol.12363, p.336-352

2020

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Deep Learning the City: Quantifying Urban Perception at a Global Scale

Computer Vision – ECCV 2016, p.196-212

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Habitat: A Platform for Embodied AI Research

2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019, p.9338-9346

2019

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Adopting Abstract Images for Semantic Scene Understanding

IEEE transactions on pattern analysis and machine intelligence, 2016-04, Vol.38 (4), p.627-638

2016

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Interactively building a discriminative vocabulary of nameable attributes

CVPR 2011, 2011, p.1681-1688

2011

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Human-Machine CRFs for Identifying Bottlenecks in Scene Understanding

IEEE transactions on pattern analysis and machine intelligence, 2016-01, Vol.38 (1), p.74-87

2016

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Visual Attributes

1, 2017

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End-to-end Audio Visual Scene-aware Dialog Using Multimodal Attention-based Video Features

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, p.2352-2356

2019

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VisualWord2Vec (Vis-W2V): Learning Visually Grounded Word Embeddings Using Abstract Scenes

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, p.4985-4994

2016

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Learning Common Sense through Visual Abstraction

2015 IEEE International Conference on Computer Vision (ICCV), 2015, p.2542-2550

2015

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Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions?

Computer vision and image understanding, 2017-10, Vol.163, p.90-100

2017

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12-in-1: Multi-Task Vision and Language Representation Learning

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, p.10434-10443

2020

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Neural Baby Talk

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, p.7219-7228

2018

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CIDEr: Consensus-based image description evaluation

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015, p.4566-4575

2015

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KRISP: Integrating Implicit and Symbolic Knowledge for Open-Domain Knowledge-Based VQA

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, p.14106-14116

2021

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Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering

Knowing When to Look: Adaptive Attention via a Visual Sentinel for Image Captioning

Joint Unsupervised Learning of Deep Representations and Image Clusters

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering

Cycle-Consistency for Robust Visual Question Answering

Learning the Visual Interpretation of Sentences

Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering

Open Catalyst 2020 (OC20) Dataset and Community Challenges

Large-Scale Pretraining for Visual Dialog: A Simple State-of-the-Art Baseline

Deep Learning the City: Quantifying Urban Perception at a Global Scale

Habitat: A Platform for Embodied AI Research

Adopting Abstract Images for Semantic Scene Understanding

Interactively building a discriminative vocabulary of nameable attributes

Human-Machine CRFs for Identifying Bottlenecks in Scene Understanding

Visual Attributes

End-to-end Audio Visual Scene-aware Dialog Using Multimodal Attention-based Video Features

VisualWord2Vec (Vis-W2V): Learning Visually Grounded Word Embeddings Using Abstract Scenes

Learning Common Sense through Visual Abstraction

Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions?

12-in-1: Multi-Task Vision and Language Representation Learning

Neural Baby Talk

CIDEr: Consensus-based image description evaluation

KRISP: Integrating Implicit and Symbolic Knowledge for Open-Domain Knowledge-Based VQA

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