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Papers Visual Dialog

“Visual Dialog” 태그가 달린 논문 120편 · 필터 해제

Ensemble based discriminative models for Visual Dialog Challenge 2018

2020-01-15 · Shubham Agarwal, Raghav Goyal

This manuscript describes our approach for the Visual Dialog Challenge 2018. We use an ensemble of three discriminative models with different encoders and decoders for our final submission. Our best performing model on '…

PositionVisual Dialog

Vision and Language: from Visual Perception to Content Creation

2019-12-26 · Tao Mei, Wei zhang, Ting Yao

Vision and language are two fundamental capabilities of human intelligence. Humans routinely perform tasks through the interactions between vision and language, supporting the uniquely human capacity to talk about what t…

DecoderQuestion AnsweringvalidVideo Captioning+3

DMRM: A Dual-channel Multi-hop Reasoning Model for Visual Dialog

2019-12-18 · Feilong Chen, Fandong Meng, Jiaming Xu, Peng Li 외

Visual Dialog is a vision-language task that requires an AI agent to engage in a conversation with humans grounded in an image. It remains a challenging task since it requires the agent to fully understand a given questi…

AI AgentDecoderMultimodal ReasoningVisual Dialog

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

2019-12-05 · ECCV 2020 8 · Vishvak Murahari, Dhruv Batra, Devi Parikh, Abhishek Das

Prior work in visual dialog has focused on training deep neural models on VisDial in isolation. Instead, we present an approach to leverage pretraining on related vision-language datasets before transferring to visual di…

Language ModellingRepresentation LearningVisual DialogVisual Question Answering

TAB-VCR: Tags and Attributes based VCR Baselines

2019-12-01 · NeurIPS 2019 12 · Jingxiang Lin, Unnat Jain, Alexander Schwing

Reasoning is an important ability that we learn from a very early age. Yet, reasoning is extremely hard for algorithms. Despite impressive recent progress that has been reported on tasks that necessitate reasoning, such …

AttributeQuestion AnsweringVisual Commonsense ReasoningVisual Dialog+2

Efficient Attention Mechanism for Visual Dialog that can Handle All the Interactions between Multiple Inputs

2019-11-26 · ECCV 2020 8 · Van-Quang Nguyen, Masanori Suganuma, Takayuki Okatani

It has been a primary concern in recent studies of vision and language tasks to design an effective attention mechanism dealing with interactions between the two modalities. The Transformer has recently been extended and…

AllVisual Dialog

Two Causal Principles for Improving Visual Dialog

2019-11-24 · CVPR 2020 6 · Jiaxin Qi, Yulei Niu, Jianqiang Huang, Hanwang Zhang

This paper unravels the design tricks adopted by us, the champion team MReaL-BDAI, for Visual Dialog Challenge 2019: two causal principles for improving Visual Dialog (VisDial). By "improving", we mean that they can prom…

Visual DialogVocal Bursts Valence Prediction

An Annotated Corpus of Reference Resolution for Interpreting Common Grounding

2019-11-18 · Takuma Udagawa, Akiko Aizawa

Common grounding is the process of creating, repairing and updating mutual understandings, which is a fundamental aspect of natural language conversation. However, interpreting the process of common grounding is a challe…

Coreference ResolutionGoal-Oriented DialogNatural Language UnderstandingVisual Dialog

DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual Dialogue

2019-11-17 · Xiaoze Jiang, Jing Yu, Zengchang Qin, Yingying Zhuang 외

Different from Visual Question Answering task that requires to answer only one question about an image, Visual Dialogue involves multiple questions which cover a broad range of visual content that could be related to any…

feature selectionQuestion AnsweringVisual DialogVisual Question Answering+1

Visual Dialogue State Tracking for Question Generation

2019-11-12 · Wei Pang, Xiaojie Wang

GuessWhat?! is a visual dialogue task between a guesser and an oracle. The guesser aims to locate an object supposed by the oracle oneself in an image by asking a sequence of Yes/No questions. Asking proper questions wit…

Dialogue State TrackingQuestion GenerationQuestion-GenerationVisual Dialog

Video Dialog via Progressive Inference and Cross-Transformer

2019-11-01 · IJCNLP 2019 11 · Weike Jin, Zhou Zhao, Mao Gu, Jun Xiao 외

Video dialog is a new and challenging task, which requires the agent to answer questions combining video information with dialog history. And different from single-turn video question answering, the additional dialog his…

Answer GenerationQuestion AnsweringQuestion GenerationQuestion-Generation+2

TAB-VCR: Tags and Attributes based Visual Commonsense Reasoning Baselines

2019-10-31 · NeurIPS 2019 12 · Jingxiang Lin, Unnat Jain, Alexander G. Schwing

Reasoning is an important ability that we learn from a very early age. Yet, reasoning is extremely hard for algorithms. Despite impressive recent progress that has been reported on tasks that necessitate reasoning, such …

AttributeQuestion AnsweringVisual Commonsense ReasoningVisual Dialog+2

Granular Multimodal Attention Networks for Visual Dialog

2019-10-13 · Badri N. Patro, Shivansh Patel, Vinay P. Namboodiri

Vision and language tasks have benefited from attention. There have been a number of different attention models proposed. However, the scale at which attention needs to be applied has not been well examined. Particularly…

Visual Dialog

Improving Generative Visual Dialog by Answering Diverse Questions

2019-09-23 · IJCNLP 2019 11 · Vishvak Murahari, Prithvijit Chattopadhyay, Dhruv Batra, Devi Parikh 외

Prior work on training generative Visual Dialog models with reinforcement learning(Das et al.) has explored a Qbot-Abot image-guessing game and shown that this 'self-talk' approach can lead to improved performance at the…

Reinforcement LearningRepresentation LearningVisual Dialog

On Controlled DeEntanglement for Natural Language Processing

2019-09-22 · SaiKrishna Rallabandi

Latest addition to the toolbox of human species is Artificial Intelligence(AI). Thus far, AI has made significant progress in low stake low risk scenarios such as playing Go and we are currently in a transition toward me…

Visual Dialog

Probabilistic framework for solving Visual Dialog

2019-09-11 · Badri N. Patro, Anupriy, Vinay P. Namboodiri

In this paper, we propose a probabilistic framework for solving the task of `Visual Dialog'. Solving this task requires reasoning and understanding of visual modality, language modality, and common sense knowledge to ans…

Common Sense ReasoningVisual Dialog

Building Task-Oriented Visual Dialog Systems Through Alternative Optimization Between Dialog Policy and Language Generation

2019-09-06 · IJCNLP 2019 11 · Mingyang Zhou, Josh Arnold, Zhou Yu

Reinforcement learning (RL) is an effective approach to learn an optimal dialog policy for task-oriented visual dialog systems. A common practice is to apply RL on a neural sequence-to-sequence (seq2seq) framework with t…

DecoderReinforcement LearningReinforcement Learning (RL)Text Generation+1

Grounded Agreement Games: Emphasizing Conversational Grounding in Visual Dialogue Settings

2019-08-29 · David Schlangen

Where early work on dialogue in Computational Linguistics put much emphasis on dialogue structure and its relation to the mental states of the dialogue participants (e.g., Allen 1979, Grosz & Sidner 1986), current work m…

ChatbotVisual Dialog

Reactive Multi-Stage Feature Fusion for Multimodal Dialogue Modeling

2019-08-14 · Yi-Ting Yeh, Tzu-Chuan Lin, Hsiao-Hua Cheng, Yu-Hsuan Deng 외

Visual question answering and visual dialogue tasks have been increasingly studied in the multimodal field towards more practical real-world scenarios. A more challenging task, audio visual scene-aware dialogue (AVSD), i…

Question AnsweringScene-Aware DialogueVisual DialogVisual Question Answering+1

What Should I Ask? Using Conversationally Informative Rewards for Goal-Oriented Visual Dialog

2019-07-28 · Pushkar Shukla, Carlos Elmadjian, Richika Sharan, Vivek Kulkarni 외

The ability to engage in goal-oriented conversations has allowed humans to gain knowledge, reduce uncertainty, and perform tasks more efficiently. Artificial agents, however, are still far behind humans in having goal-dr…

Reinforcement LearningVisual Dialog
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