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09/06/2023
Expert Uncertainty and Severity Aware Chest X-Ray Classification by Multi-Relationship Graph Learning
Patients undergoing chest X-rays (CXR) often endure multiple lung diseas...
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08/14/2023
The Sound Demixing Challenge 2023 x2013 Music Demixing Track
This paper summarizes the music demixing (MDX) track of the Sound Demixi...
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07/22/2023
Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering
To contribute to automating the medical vision-language model, we propos...
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07/17/2023
Soft Curriculum for Learning Conditional GANs with Noisy-Labeled and Uncurated Unlabeled Data
Label-noise or curated unlabeled data is used to compensate for the assu...
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06/13/2023
SayTap: Language to Quadrupedal Locomotion
Large language models (LLMs) have demonstrated the potential to perform ...
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05/14/2023
HiPerformer: Hierarchically Permutation-Equivariant Transformer for Time Series Forecasting
It is imperative to discern the relationships between multiple time seri...
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04/07/2023
Domain Adaptive Multiple Instance Learning for Instance-level Prediction of Pathological Images
Pathological image analysis is an important process for detecting abnorm...
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03/10/2023
Aleth-NeRF: Low-light Condition View Synthesis with Concealing Fields
Common capture low-light scenes are challenging for most computer vision...
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03/08/2023
Self-Supervised Learning for Group Equivariant Neural Networks
This paper proposes a method to construct pretext tasks for self-supervi...
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03/07/2023
Sketch-based Medical Image Retrieval
The amount of medical images stored in hospitals is increasing faster th...
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02/19/2023
Interpretable Medical Image Visual Question Answering via Multi-Modal Relationship Graph Learning
Medical visual question answering (VQA) aims to answer clinically releva...
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12/07/2022
Name Your Colour For the Task: Artificially Discover Colour Naming via Colour Quantisation Transformer
The long-standing theory that a colour-naming system evolves under the d...
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10/12/2022
Learning by Asking Questions for Knowledge-based Novel Object Recognition
In real-world object recognition, there are numerous object classes to b...
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10/02/2022
Grouped self-attention mechanism for a memory-efficient Transformer
Time-series data analysis is important because numerous real-world tasks...
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08/13/2022
Memory Efficient Temporal Visual Graph Model for Unsupervised Video Domain Adaptation
Existing video domain adaption (DA) methods need to store all temporal c...
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08/05/2022
Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object Detection
Image restoration algorithms such as super resolution (SR) are indispens...
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07/25/2022
Deforming Radiance Fields with Cages
Recent advances in radiance fields enable photorealistic rendering of st...
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07/13/2022
SATTS: Speaker Attractor Text to Speech, Learning to Speak by Learning to Separate
The mapping of text to speech (TTS) is non-deterministic, letters may be...
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05/30/2022
Illumination Adaptive Transformer
Challenging illumination conditions (low light, underexposure and overex...
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05/23/2022
Computational Storytelling and Emotions: A Survey
Storytelling has always been vital for human nature. From ancient times,...
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05/06/2022
Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection
Dark environment becomes a challenge for computer vision algorithms owin...
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04/19/2022
Unsupervised Learning of Efficient Geometry-Aware Neural Articulated Representations
We propose an unsupervised method for 3D geometry-aware representation l...
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03/24/2022
Risk Consistent Multi-Class Learning from Label Proportions
This study addresses a multiclass learning from label proportions (MCLLP...
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03/18/2022
Enhancement of Novel View Synthesis Using Omnidirectional Image Completion
We present a method for synthesizing novel views from a single 360-degre...
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03/15/2022
K-VQG: Knowledge-aware Visual Question Generation for Common-sense Acquisition
Visual Question Generation (VQG) is a task to generate questions from im...
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02/26/2022
COMPASS: a Creative Support System that Alerts Novelists to the Unnoticed Missing Contents
When humans write, they may unintentionally omit some information. Compl...
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02/15/2022
ViNTER: Image Narrative Generation with Emotion-Arc-Aware Transformer
Image narrative generation describes the creation of stories regarding t...
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01/25/2022
Plaque segmentation via masking of the artery wall
The presence of plaques in the coronary arteries are a major risk to the...
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01/07/2022
RestoreDet: Degradation Equivariant Representation for Object Detection in Low Resolution Images
Image restoration algorithms such as super resolution (SR) are indispens...
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12/21/2021
Watch It Move: Unsupervised Discovery of 3D Joints for Re-Posing of Articulated Objects
Rendering articulated objects while controlling their poses is critical ...
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12/02/2021
Leveraging Human Selective Attention for Medical Image Analysis with Limited Training Data
The human gaze is a cost-efficient physiological data that reveals human...
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10/08/2021
Unsupervised Pose-Aware Part Decomposition for 3D Articulated Objects
Articulated objects exist widely in the real world. However, previous 3D...
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09/26/2021
Fully Spiking Variational Autoencoder
Spiking neural networks (SNNs) can be run on neuromorphic devices with u...
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06/25/2021
Video Moment Retrieval with Text Query Considering Many-to-Many Correspondence Using Potentially Relevant Pair
In this paper we undertake the task of text-based video moment retrieval...
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06/07/2021
Efficient training for future video generation based on hierarchical disentangled representation of latent variables
Generating videos predicting the future of a given sequence has been an ...
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04/07/2021
Neural Articulated Radiance Field
We present Neural Articulated Radiance Field (NARF), a novel deformable ...
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03/23/2021
Decomposing Normal and Abnormal Features of Medical Images into Discrete Latent Codes for Content-Based Image Retrieval
In medical imaging, the characteristics purely derived from a disease sh...
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03/07/2021
Estimating and Improving Fairness with Adversarial Learning
Fairness and accountability are two essential pillars for trustworthy Ar...
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11/12/2020
Decomposing Normal and Abnormal Features of Medical Images for Content-based Image Retrieval
Medical images can be decomposed into normal and abnormal features, whic...
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10/21/2020
Neural Star Domain as Primitive Representation
Reconstructing 3D objects from 2D images is a fundamental task in comput...
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09/16/2020
Information Bottleneck Constrained Latent Bidirectional Embedding for Zero-Shot Learning
Zero-shot learning (ZSL) aims to recognize novel classes by transferring...
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08/04/2020
Neural Granular Sound Synthesis
Granular sound synthesis is a popular audio generation technique based o...
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08/03/2020
Learning Agile Locomotion via Adversarial Training
Developing controllers for agile locomotion is a long-standing challenge...
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07/27/2020
Point Cloud Based Reinforcement Learning for Sim-to-Real and Partial Observability in Visual Navigation
Reinforcement Learning (RL), among other learning-based methods, represe...
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07/13/2020
Vector-Quantized Timbre Representation
Timbre is a set of perceptual attributes that identifies different types...
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05/26/2020
Unsupervised Brain Abnormality Detection Using High Fidelity Image Reconstruction Networks
Recent advances in deep learning have facilitated near-expert medical im...
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03/17/2020
Blur, Noise, and Compression Robust Generative Adversarial Networks
Recently, generative adversarial networks (GANs), which learn data distr...
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03/06/2020
Captioning Images with Novel Objects via Online Vocabulary Expansion
In this study, we introduce a low cost method for generating description...
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02/27/2020
Coronary Wall Segmentation in CCTA Scans via a Hybrid Net with Contours Regularization
Providing closed and well-connected boundaries of coronary artery is ess...
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01/09/2020