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09/14/2023
PROGrasp: Pragmatic Human-Robot Communication for Object Grasping
Interactive Object Grasping (IOG) is the task of identifying and graspin...
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07/12/2023
GVCCI: Lifelong Learning of Visual Grounding for Language-Guided Robotic Manipulation
Language-Guided Robotic Manipulation (LGRM) is a challenging task as it ...
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06/05/2023
Overcoming Weak Visual-Textual Alignment for Video Moment Retrieval
Video moment retrieval (VMR) aims to identify the specific moment in an ...
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05/23/2023
L-SA: Learning Under-Explored Targets in Multi-Target Reinforcement Learning
Tasks that involve interaction with various targets are called multi-tar...
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04/17/2023
Learning Geometry-aware Representations by Sketching
Understanding geometric concepts, such as distance and shape, is essenti...
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11/04/2022
SelecMix: Debiased Learning by Contradicting-pair Sampling
Neural networks trained with ERM (empirical risk minimization) sometimes...
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10/31/2022
DUEL: Adaptive Duplicate Elimination on Working Memory for Self-Supervised Learning
In Self-Supervised Learning (SSL), it is known that frequent occurrences...
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10/23/2022
Modal-specific Pseudo Query Generation for Video Corpus Moment Retrieval
Video corpus moment retrieval (VCMR) is the task to retrieve the most re...
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10/20/2022
Robust Imitation via Mirror Descent Inverse Reinforcement Learning
Recently, adversarial imitation learning has shown a scalable reward acq...
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10/17/2022
SGRAM: Improving Scene Graph Parsing via Abstract Meaning Representation
Scene graph is structured semantic representation that can be modeled as...
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09/22/2022
Learning to Write with Coherence From Negative Examples
Coherence is one of the critical factors that determine the quality of w...
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08/09/2022
From Scratch to Sketch: Deep Decoupled Hierarchical Reinforcement Learning for Robotic Sketching Agent
We present an automated learning framework for a robotic sketching agent...
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08/09/2022
On the Importance of Critical Period in Multi-stage Reinforcement Learning
The initial years of an infant's life are known as the critical period, ...
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07/31/2022
Cross-Modal Alignment Learning of Vision-Language Conceptual Systems
Human infants learn the names of objects and develop their own conceptua...
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05/25/2022
The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training
Visual dialog (VisDial) is a task of answering a sequence of questions g...
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04/22/2022
Hypergraph Transformer: Weakly-supervised Multi-hop Reasoning for Knowledge-based Visual Question Answering
Knowledge-based visual question answering (QA) aims to answer a question...
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01/12/2022
Toddler-Guidance Learning: Impacts of Critical Period on Multimodal AI Agents
Critical periods are phases during which a toddler's brain develops in s...
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12/11/2021
Smooth-Swap: A Simple Enhancement for Face-Swapping with Smoothness
In recent years, face-swapping models have progressed in generation qual...
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10/25/2021
Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning
Learning in a multi-target environment without prior knowledge about the...
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10/08/2021
Toward a Human-Level Video Understanding Intelligence
We aim to develop an AI agent that can watch video clips and have a conv...
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08/11/2021
Mounting Video Metadata on Transformer-based Language Model for Open-ended Video Question Answering
Video question answering has recently received a lot of attention from m...
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07/21/2021
CogME: A Novel Evaluation Metric for Video Understanding Intelligence
Developing video understanding intelligence is quite challenging because...
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06/19/2021
Attend What You Need: Motion-Appearance Synergistic Networks for Video Question Answering
Video Question Answering is a task which requires an AI agent to answer ...
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01/31/2021
M2FN: Multi-step Modality Fusion for Advertisement Image Assessment
Assessing advertisements, specifically on the basis of user preferences ...
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01/27/2021
Learning task-agnostic representation via toddler-inspired learning
One of the inherent limitations of current AI systems, stemming from the...
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12/02/2020
Message Passing Adaptive Resonance Theory for Online Active Semi-supervised Learning
Active learning is widely used to reduce labeling effort and training ti...
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11/07/2020
Human-Like Active Learning: Machines Simulating the Human Learning Process
Although the use of active learning to increase learners' engagement has...
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10/27/2020
Co-attentional Transformers for Story-Based Video Understanding
Inspired by recent trends in vision and language learning, we explore ap...
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05/28/2020
Pattern Denoising in Molecular Associative Memory using Pairwise Markov Random Field Models
We propose an in silico molecular associative memory model for pattern l...
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05/07/2020
DramaQA: Character-Centered Video Story Understanding with Hierarchical QA
Despite recent progress on computer vision and natural language processi...
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04/14/2020
DialGraph: Sparse Graph Learning Networks for Visual Dialog
Visual dialog is a task of answering a sequence of questions grounded in...
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01/17/2020
Cut-Based Graph Learning Networks to Discover Compositional Structure of Sequential Video Data
Conventional sequential learning methods such as Recurrent Neural Networ...
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11/08/2019
Ruminating Word Representations with Random Noised Masker
We introduce a training method for both better word representation and p...
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10/06/2019
Which Ads to Show? Advertisement Image Assessment with Auxiliary Information via Multi-step Modality Fusion
Assessing aesthetic preference is a fundamental task related to human co...
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07/03/2019
Compositional Structure Learning for Sequential Video Data
Conventional sequential learning methods such as Recurrent Neural Networ...
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06/03/2019
Encoder-Powered Generative Adversarial Networks
We present an encoder-powered generative adversarial network (EncGAN) th...
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05/09/2019
Simulating Problem Difficulty in Arithmetic Cognition Through Dynamic Connectionist Models
The present study aims to investigate similarities between how humans an...
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04/01/2019
Constructing Hierarchical Q A Datasets for Video Story Understanding
Video understanding is emerging as a new paradigm for studying human-lik...
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02/25/2019
Dual Attention Networks for Visual Reference Resolution in Visual Dialog
Visual dialog (VisDial) is a task which requires an AI agent to answer a...
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01/20/2019
Data Interpolations in Deep Generative Models under Non-Simply-Connected Manifold Topology
Exploiting the deep generative model's remarkable ability of learning th...
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01/20/2019
Visualizing Semantic Structures of Sequential Data by Learning Temporal Dependencies
While conventional methods for sequential learning focus on interaction ...
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09/21/2018
Multimodal Dual Attention Memory for Video Story Question Answering
We propose a video story question-answering (QA) architecture, Multimoda...
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05/28/2018
GLAC Net: GLocal Attention Cascading Networks for Multi-image Cued Story Generation
The task of multi-image cued story generation, such as visual storytelli...
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05/21/2018
Bilinear Attention Networks
Attention networks in multimodal learning provide an efficient way to ut...
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02/12/2018
Answerer in Questioner's Mind for Goal-Oriented Visual Dialogue
Goal-oriented dialogue has been paid attention for its numerous applicat...
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12/18/2017
Visual Explanations from Hadamard Product in Multimodal Deep Networks
The visual explanation of learned representation of models helps to unde...
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12/15/2017
CoDraw: Visual Dialog for Collaborative Drawing
In this work, we propose a goal-driven collaborative task that contains ...
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12/13/2017
Multi-focus Attention Network for Efficient Deep Reinforcement Learning
Deep reinforcement learning (DRL) has shown incredible performance in le...
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07/04/2017
DeepStory: Video Story QA by Deep Embedded Memory Networks
Question-answering (QA) on video contents is a significant challenge for...
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11/04/2016