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09/08/2023
MaskDiffusion: Boosting Text-to-Image Consistency with Conditional Mask
Recent advancements in diffusion models have showcased their impressive ...
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09/01/2023
Trust your Good Friends: Source-free Domain Adaptation by Reciprocal Neighborhood Clustering
Domain adaptation (DA) aims to alleviate the domain shift between source...
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05/14/2023
Provable Multi-instance Deep AUC Maximization with Stochastic Pooling
This paper considers a novel application of deep AUC maximization (DAM) ...
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03/28/2023
StyleDiffusion: Prompt-Embedding Inversion for Text-Based Editing
A significant research effort is focused on exploiting the amazing capac...
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03/27/2023
3D-Aware Multi-Class Image-to-Image Translation with NeRFs
Recent advances in 3D-aware generative models (3D-aware GANs) combined w...
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06/07/2022
One Ring to Bring Them All: Towards Open-Set Recognition under Domain Shift
In this paper, we investigate open-set recognition with domain shift, wh...
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05/30/2022
MVMO: A Multi-Object Dataset for Wide Baseline Multi-View Semantic Segmentation
We present MVMO (Multi-View, Multi-Object dataset): a synthetic dataset ...
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05/09/2022
Local Prediction Aggregation: A Frustratingly Easy Source-free Domain Adaptation Method
We propose a simple but effective source-free domain adaptation (SFDA) m...
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12/04/2021
Hyper-GAN: Transferring Unconditional to Conditional GANs with HyperNetworks
Conditional GANs have matured in recent years and are able to generate h...
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11/25/2021
A Novel Framework for Image-to-image Translation and Image Compression
Data-driven paradigms using machine learning are becoming ubiquitous in ...
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10/08/2021
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation
Domain adaptation (DA) aims to alleviate the domain shift between source...
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08/03/2021
Generalized Source-free Domain Adaptation
Domain adaptation (DA) aims to transfer the knowledge learned from a sou...
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05/13/2021
TransferI2I: Transfer Learning for Image-to-Image Translation from Small Datasets
Image-to-image (I2I) translation has matured in recent years and is able...
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04/28/2021
MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains
GANs largely increases the potential impact of generative models. Theref...
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11/11/2020
DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs
Image-to-image translation has recently achieved remarkable results. But...
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10/23/2020
Unsupervised Domain Adaptation without Source Data by Casting a BAIT
Unsupervised domain adaptation (UDA) aims to transfer the knowledge lear...
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07/02/2020
Globally Optimal Segmentation of Mutually Interacting Surfaces using Deep Learning
Segmentation of multiple surfaces in medical images is a challenging pro...
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03/30/2020
Semi-supervised Learning for Few-shot Image-to-Image Translation
In the last few years, unpaired image-to-image translation has witnessed...
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03/05/2020
GANwriting: Content-Conditioned Generation of Styled Handwritten Word Images
Although current image generation methods have reached impressive qualit...
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12/11/2019
MineGAN: effective knowledge transfer from GANs to target domains with few images
One of the attractive characteristics of deep neural networks is their a...
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09/05/2019
Analytical Model and Topology Evaluation of Quantum Secure Communication Network
Due to the intrinsic point-to-point feature of quantum key distribution ...
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08/19/2019
SDIT: Scalable and Diverse Cross-domain Image Translation
Recently, image-to-image translation research has witnessed remarkable p...
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07/23/2019
Controlling biases and diversity in diverse image-to-image translation
The task of unpaired image-to-image translation is highly challenging du...
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04/24/2019
Modeling and Simulation of Practical Quantum Secure Communication Network
As the Quantum Key Distribution (QKD) technology supporting the pointto-...
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03/08/2019
Mix and match networks: multi-domain alignment for unpaired image-to-image translation
This paper addresses the problem of inferring unseen cross-domain and cr...
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09/06/2018
Memory Replay GANs: learning to generate images from new categories without forgetting
Previous works on sequential learning address the problem of forgetting ...
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05/04/2018
Transferring GANs: generating images from limited data
Transferring the knowledge of pretrained networks to new domains by mean...
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04/06/2018
Mix and match networks: encoder-decoder alignment for zero-pair image translation
We address the problem of image translation between domains or modalitie...
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12/03/2016
Ensembles of Generative Adversarial Networks
Ensembles are a popular way to improve results of discriminative CNNs. T...
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05/30/2016