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04/20/2023
Not Only Generative Art: Stable Diffusion for Content-Style Disentanglement in Art Analysis
The duality of content and style is inherent to the nature of art. For h...
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04/20/2023
Learning Bottleneck Concepts in Image Classification
Interpreting and explaining the behavior of deep neural networks is crit...
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04/07/2023
Model-Agnostic Gender Debiased Image Captioning
Image captioning models are known to perpetuate and amplify harmful soci...
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04/06/2023
Uncurated Image-Text Datasets: Shedding Light on Demographic Bias
The increasing tendency to collect large and uncurated datasets to train...
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04/04/2023
Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation
Human evaluation is critical for validating the performance of text-to-i...
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01/31/2023
Inference Time Evidences of Adversarial Attacks for Forensic on Transformers
Vision Transformers (ViTs) are becoming a very popular paradigm for visi...
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11/18/2022
Contrastive Losses Are Natural Criteria for Unsupervised Video Summarization
Video summarization aims to select the most informative subset of frames...
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10/13/2022
Deep Gesture Generation for Social Robots Using Type-Specific Libraries
Body language such as conversational gesture is a powerful way to ease c...
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08/23/2022
Learning More May Not Be Better: Knowledge Transferability in Vision and Language Tasks
Is more data always better to train vision-and-language models? We study...
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05/17/2022
Gender and Racial Bias in Visual Question Answering Datasets
Vision-and-language tasks have increasingly drawn more attention as a me...
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03/30/2022
AxIoU: An Axiomatically Justified Measure for Video Moment Retrieval
Evaluation measures have a crucial impact on the direction of research. ...
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03/29/2022
Quantifying Societal Bias Amplification in Image Captioning
We study societal bias amplification in image captioning. Image captioni...
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03/28/2022
Optimal Correction Cost for Object Detection Evaluation
Mean Average Precision (mAP) is the primary evaluation measure for objec...
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10/26/2021
Transferring Domain-Agnostic Knowledge in Video Question Answering
Video question answering (VideoQA) is designed to answer a given questio...
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09/13/2021
Explain Me the Painting: Multi-Topic Knowledgeable Art Description Generation
Have you ever looked at a painting and wondered what is the story behind...
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09/02/2021
Built Year Prediction from Buddha Face with Heterogeneous Labels
Buddha statues are a part of human culture, especially of the Asia area,...
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07/07/2021
PoseRN: A 2D pose refinement network for bias-free multi-view 3D human pose estimation
We propose a new 2D pose refinement network that learns to predict the h...
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06/25/2021
A Picture May Be Worth a Hundred Words for Visual Question Answering
How far can we go with textual representations for understanding picture...
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05/25/2021
GCNBoost: Artwork Classification by Label Propagation through a Knowledge Graph
The rise of digitization of cultural documents offers large-scale conten...
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01/28/2021
Development of a Vertex Finding Algorithm using Recurrent Neural Network
Deep learning is a rapidly-evolving technology with possibility to signi...
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01/14/2021
Understanding the Role of Scene Graphs in Visual Question Answering
Visual Question Answering (VQA) is of tremendous interest to the researc...
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11/25/2020
Match Them Up: Visually Explainable Few-shot Image Classification
Few-shot learning (FSL) approaches are usually based on an assumption th...
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11/07/2020
Grading the Severity of Arteriolosclerosis from Retinal Arterio-venous Crossing Patterns
The status of retinal arteriovenous crossing is of great significance fo...
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10/19/2020
Noisy-LSTM: Improving Temporal Awareness for Video Semantic Segmentation
Semantic video segmentation is a key challenge for various applications....
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10/11/2020
Constructing a Visual Relationship Authenticity Dataset
A visual relationship denotes a relationship between two objects in an i...
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09/30/2020
Demographic Influences on Contemporary Art with Unsupervised Style Embeddings
Computational art analysis has, through its reliance on classification t...
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09/14/2020
SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition
Explainable artificial intelligence is gaining attention. However, most ...
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09/01/2020
Uncovering Hidden Challenges in Query-Based Video Moment Retrieval
The query-based moment retrieval is a problem of localising a specific c...
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08/28/2020
A Dataset and Baselines for Visual Question Answering on Art
Answering questions related to art pieces (paintings) is a difficult tas...
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07/22/2020
Depthwise Spatio-Temporal STFT Convolutional Neural Networks for Human Action Recognition
Conventional 3D convolutional neural networks (CNNs) are computationally...
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07/17/2020
Knowledge-Based Video Question Answering with Unsupervised Scene Descriptions
To understand movies, humans constantly reason over the dialogues and ac...
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05/27/2020
Joint Learning of Vessel Segmentation and Artery/Vein Classification with Post-processing
Retinal imaging serves as a valuable tool for diagnosis of various disea...
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04/22/2020
Yoga-82: A New Dataset for Fine-grained Classification of Human Poses
Human pose estimation is a well-known problem in computer vision to loca...
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04/17/2020
Knowledge-Based Visual Question Answering in Videos
We propose a novel video understanding task by fusing knowledge-based an...
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12/12/2019
IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks
Retinal vessel segmentation is of great interest for diagnosis of retina...
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10/23/2019
KnowIT VQA: Answering Knowledge-Based Questions about Videos
We propose a novel video understanding task by fusing knowledge-based an...
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09/17/2019
BUDA.ART: A Multimodal Content-Based Analysis and Retrieval System for Buddha Statues
We introduce BUDA.ART, a system designed to assist researchers in Art Hi...
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09/17/2019
Historical and Modern Features for Buddha Statue Classification
While Buddhism has spread along the Silk Roads, many pieces of art have ...
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04/24/2019
Understanding Art through Multi-Modal Retrieval in Paintings
In computer vision, visual arts are often studied from a purely aestheti...
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04/10/2019
Context-Aware Embeddings for Automatic Art Analysis
Automatic art analysis aims to classify and retrieve artistic representa...
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03/27/2019
Rethinking the Evaluation of Video Summaries
Video summarization is a technique to create a short skim of the origina...
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07/07/2018
Representing a Partially Observed Non-Rigid 3D Human Using Eigen-Texture and Eigen-Deformation
Reconstruction of the shape and motion of humans from RGB-D is a challen...
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06/12/2018
iParaphrasing: Extracting Visually Grounded Paraphrases via an Image
A paraphrase is a restatement of the meaning of a text in other words. P...
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09/25/2017
Summarization of User-Generated Sports Video by Using Deep Action Recognition Features
Automatically generating a summary of sports video poses the challenge o...
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09/28/2016
Video Summarization using Deep Semantic Features
This paper presents a video summarization technique for an Internet vide...
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08/08/2016