Search Results - "Yang, Ceyuan"
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1
Semantic Hierarchy Emerges in Deep Generative Representations for Scene Synthesis
Published in International journal of computer vision (01-05-2021)“…Despite the great success of Generative Adversarial Networks (GANs) in synthesizing images, there lacks enough understanding of how photo-realistic images are…”
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Journal Article -
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When Deep Learning Meets Metric Learning: Remote Sensing Image Scene Classification via Learning Discriminative CNNs
Published in IEEE transactions on geoscience and remote sensing (01-05-2018)“…Remote sensing image scene classification is an active and challenging task driven by many applications. More recently, with the advances of deep learning…”
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Journal Article -
3
InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANs
Published in IEEE transactions on pattern analysis and machine intelligence (01-04-2022)“…Although generative adversarial networks (GANs) have made significant progress in face synthesis, there lacks enough understanding of what GANs have learned in…”
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Journal Article -
4
Temporal Pyramid Network for Action Recognition
Published in 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2020)“…Visual tempo characterizes the dynamics and the temporal scale of an action. Modeling such visual tempos of different actions facilitates their recognition…”
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Conference Proceeding -
5
Instance Localization for Self-supervised Detection Pretraining
Published in 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2021)“…Prior research on self-supervised learning has led to considerable progress on image classification, but often with degraded transfer performance on object…”
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Conference Proceeding -
6
Generative Hierarchical Features from Synthesizing Images
Published in 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2021)“…Generative Adversarial Networks (GANs) have recently advanced image synthesis by learning the underlying distribution of the observed data. However, how the…”
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Conference Proceeding -
7
Adapting Object Detectors via Selective Cross-Domain Alignment
Published in 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2019)“…State-of-the-art object detectors are usually trained on public datasets. They often face substantial difficulties when applied to a different domain, where…”
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Conference Proceeding -
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3D-aware Image Synthesis via Learning Structural and Textural Representations
Published in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2022)“…Making generative models 3D-aware bridges the 2D image space and the 3D physical world yet remains challenging. Recent attempts equip a Generative Adversarial…”
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Conference Proceeding -
9
GH-Feat: Learning Versatile Generative Hierarchical Features From GANs
Published in IEEE transactions on pattern analysis and machine intelligence (01-06-2023)“…Recent years witness the tremendous success of generative adversarial networks (GANs) in synthesizing photo-realistic images. GAN generator learns to compose…”
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Journal Article -
10
Spatial Steerability of GANs via Self-Supervision from Discriminator
Published in IEEE transactions on pattern analysis and machine intelligence (01-12-2024)“…Generative models make huge progress to the photorealistic image synthesis in recent years. To enable humans to steer the image generation process and…”
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Journal Article -
11
Learning to Represent and Recreate Data
Published 01-01-2022“…Computer vision has been significantly advanced with the help of state-of-the-art algorithms, high-performance computing resources and the most important…”
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Dissertation -
12
Cross-Model Pseudo-Labeling for Semi-Supervised Action Recognition
Published in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2022)“…Semi-supervised action recognition is a challenging but important task due to the high cost of data annotation. A common approach to this problem is to assign…”
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Conference Proceeding -
13
Improving GAN Equilibrium by Raising Spatial Awareness
Published in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2022)“…The success of Generative Adversarial Networks (GANs) is largely built upon the adversarial training between a generator (G) and a discriminator (D). They are…”
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Conference Proceeding -
14
DisCoScene: Spatially Disentangled Generative Radiance Fields for Controllable 3D-aware Scene Synthesis
Published in 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2023)“…Existing 3D-aware image synthesis approaches mainly focus on generating a single canonical object and show limited capacity in composing a complex scene…”
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Conference Proceeding -
15
GLeaD: Improving GANs with A Generator-Leading Task
Published in 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2023)“…Generative adversarial network (GAN) is formulated as a two-player game between a generator (G) and a discriminator (D), where D is asked to differentiate…”
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Conference Proceeding -
16
Scaling Laws For Diffusion Transformers
Published 10-10-2024“…Diffusion transformers (DiT) have already achieved appealing synthesis and scaling properties in content recreation, e.g., image and video generation. However,…”
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Journal Article -
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GH-Feat: Learning Versatile Generative Hierarchical Features from GANs
Published 12-01-2023“…Recent years witness the tremendous success of generative adversarial networks (GANs) in synthesizing photo-realistic images. GAN generator learns to compose…”
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Journal Article -
18
Towards Smooth Video Composition
Published 14-12-2022“…Video generation requires synthesizing consistent and persistent frames with dynamic content over time. This work investigates modeling the temporal relations…”
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Journal Article -
19
BerfScene: Bev-conditioned Equivariant Radiance Fields for Infinite 3D Scene Generation
Published in 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (16-06-2024)“…Generating large-scale 3D scenes cannot simply apply existing 3D object synthesis technique since 3D scenes usually hold complex spatial configurations and…”
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Conference Proceeding -
20
3DitScene: Editing Any Scene via Language-guided Disentangled Gaussian Splatting
Published 28-05-2024“…Scene image editing is crucial for entertainment, photography, and advertising design. Existing methods solely focus on either 2D individual object or 3D…”
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Journal Article