Class-aware adversarial transformers for medical image segmentation

C You, R Zhao, F Liu, S Dong… - Advances in …, 2022 - proceedings.neurips.cc
Transformers have made remarkable progress towards modeling long-range dependencies
within the medical image analysis domain. However, current transformer-based models …

Tall: Thumbnail layout for deepfake video detection

Y Xu, J Liang, G Jia, Z Yang… - Proceedings of the …, 2023 - openaccess.thecvf.com
The growing threats of deepfakes to society and cybersecurity have raised enormous public
concerns, and increasing efforts have been devoted to this critical topic of deepfake video …

Towards generic image manipulation detection with weakly-supervised self-consistency learning

Y Zhai, T Luan, D Doermann… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
As advanced image manipulation techniques emerge, detecting the manipulation becomes
increasingly important. Despite the success of recent learning-based approaches for image …

How to Handle Sketch-Abstraction in Sketch-Based Image Retrieval?

S Koley, AK Bhunia, A Sain… - Proceedings of the …, 2024 - openaccess.thecvf.com
In this paper we propose a novel abstraction-aware sketch-based image retrieval framework
capable of handling sketch abstraction at varied levels. Prior works had mainly focused on …

What Sketch Explainability Really Means for Downstream Tasks?

H Bandyopadhyay, PN Chowdhury… - Proceedings of the …, 2024 - openaccess.thecvf.com
In this paper we explore the unique modality of sketch for explainability emphasising the
profound impact of human strokes compared to conventional pixel-oriented studies. Beyond …

SketchFaceNeRF: Sketch-based facial generation and editing in neural radiance fields

L Gao, FL Liu, SY Chen, K Jiang, C Li… - ACM Transactions on …, 2023 - orca.cardiff.ac.uk
Realistic 3D facial generation based on Neural Radiance Fields (NeRFs) from 2D sketches
benefits various applications. Despite the high realism of free-view rendering results of …

Fighting malicious media data: A survey on tampering detection and deepfake detection

J Wang, Z Li, C Zhang, J Chen, Z Wu, LS Davis… - arXiv preprint arXiv …, 2022 - arxiv.org
Online media data, in the forms of images and videos, are becoming mainstream
communication channels. However, recent advances in deep learning, particularly deep …

LightPainter: interactive portrait relighting with freehand scribble

Y Mei, H Zhang, X Zhang, J Zhang… - Proceedings of the …, 2023 - openaccess.thecvf.com
Recent portrait relighting methods have achieved realistic results of portrait lighting effects
given a desired lighting representation such as an environment map. However, these …

Self-driven dual-path learning for reference-based line art colorization under limited data

S Wu, X Yan, W Liu, S Xu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Synthesizing color images based on line arts while considering the styles of reference
photos is a flexible form of artistic creation that has recently attracted public attention …

Escaping data scarcity for high-resolution heterogeneous face hallucination

Y Mei, P Guo, VM Patel - … of the IEEE/CVF conference on …, 2022 - openaccess.thecvf.com
Abstract In Heterogeneous Face Recognition (HFR), the objective is to match faces across
two different domains such as visible and thermal. Large domain discrepancy makes HFR a …