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07/20/2023
See More and Know More: Zero-shot Point Cloud Segmentation via Multi-modal Visual Data
Zero-shot point cloud segmentation aims to make deep models capable of r...
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06/01/2023
Discriminative Deep Feature Visualization for Explainable Face Recognition
Despite the huge success of deep convolutional neural networks in face r...
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05/15/2023
Towards Visual Saliency Explanations of Face Recognition
Deep convolutional neural networks have been pushing the frontier of fac...
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04/12/2023
Assessment Framework for Deepfake Detection in Real-world Situations
Detecting digital face manipulation in images and video has attracted ex...
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04/12/2023
Explanation of Face Recognition via Saliency Maps
Despite the significant progress in face recognition in the past years, ...
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03/30/2023
Impact of Video Processing Operations in Deepfake Detection
The detection of digital face manipulation in video has attracted extens...
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03/15/2023
Identity-Preserving Knowledge Distillation for Low-resolution Face Recognition
Low-resolution face recognition (LRFR) has become a challenging problem ...
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12/06/2022
Semi-supervised Deep Large-baseline Homography Estimation with Progressive Equivalence Constraint
Homography estimation is erroneous in the case of large-baseline due to ...
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11/27/2022
Cross-domain Few-shot Segmentation with Transductive Fine-tuning
Few-shot segmentation (FSS) expects models trained on base classes to wo...
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05/08/2022
Unsupervised Homography Estimation with Coplanarity-Aware GAN
Estimating homography from an image pair is a fundamental problem in ima...
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03/22/2022
A New Approach to Improve Learning-based Deepfake Detection in Realistic Conditions
Deep convolutional neural networks have achieved exceptional results on ...
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03/22/2022
A Novel Framework for Assessment of Learning-based Detectors in Realistic Conditions with Application to Deepfake Detection
Deep convolutional neural networks have shown remarkable results on mult...
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12/09/2021
Style Mixing and Patchwise Prototypical Matching for One-Shot Unsupervised Domain Adaptive Semantic Segmentation
In this paper, we tackle the problem of one-shot unsupervised domain ada...
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11/14/2021
Impact of Benign Modifications on Discriminative Performance of Deepfake Detectors
Deepfakes are becoming increasingly popular in both good faith applicati...
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12/02/2020
Contour Transformer Network for One-shot Segmentation of Anatomical Structures
Accurate segmentation of anatomical structures is vital for medical imag...
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07/06/2020
Learning to Segment Anatomical Structures Accurately from One Exemplar
Accurate segmentation of critical anatomical structures is at the core o...
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04/17/2020
Structured Landmark Detection via Topology-Adapting Deep Graph Learning
Image landmark detection aims to automatically identify the locations of...
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10/12/2018
Does Haze Removal Help CNN-based Image Classification?
Hazy images are common in real scenarios and many dehazing methods have ...
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05/17/2018
Design Identification of Curve Patterns on Cultural Heritage Objects: Combining Template Matching and CNN-based Re-Ranking
The surfaces of many cultural heritage objects were embellished with var...
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02/03/2018
Modeling Text with Graph Convolutional Network for Cross-Modal Information Retrieval
Cross-modal information retrieval aims to find heterogeneous data of var...
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11/07/2017
Curve-Structure Segmentation from Depth Maps: A CNN-based Approach and Its Application to Exploring Cultural Heritage Objects
Motivated by the important archaeological application of exploring cultu...
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11/15/2016