Deli Zhao

Orcid: 0000-0002-8838-578X

According to our database1, Deli Zhao authored at least 81 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
In-Domain GAN Inversion for Faithful Reconstruction and Editability.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Space Group Constrained Crystal Generation.
CoRR, 2024

Latent Space Editing in Transformer-Based Flow Matching.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Latent Space Editing in Transformer-Based Flow Matching.
CoRR, 2023

I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models.
CoRR, 2023

Few-shot Action Recognition with Captioning Foundation Models.
CoRR, 2023

Towards More Accurate Diffusion Model Acceleration with A Timestep Aligner.
CoRR, 2023

AnyDoor: Zero-shot Object-level Image Customization.
CoRR, 2023

MomentDiff: Generative Video Moment Retrieval from Random to Real.
CoRR, 2023

Eliminating Lipschitz Singularities in Diffusion Models.
CoRR, 2023

Cones 2: Customizable Image Synthesis with Multiple Subjects.
CoRR, 2023

VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation.
CoRR, 2023

CLIP-guided Prototype Modulating for Few-shot Action Recognition.
CoRR, 2023

Rethinking Efficient Tuning Methods from a Unified Perspective.
CoRR, 2023

UKnow: A Unified Knowledge Protocol for Common-Sense Reasoning and Vision-Language Pre-training.
CoRR, 2023

LinkGAN: Linking GAN Latents to Pixels for Controllable Image Synthesis.
CoRR, 2023

FaceComposer: A Unified Model for Versatile Facial Content Creation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

VideoComposer: Compositional Video Synthesis with Motion Controllability.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Customizable Image Synthesis with Multiple Subjects.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MomentDiff: Generative Video Moment Retrieval from Random to Real.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Res-Tuning: A Flexible and Efficient Tuning Paradigm via Unbinding Tuner from Backbone.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

RLEG: Vision-Language Representation Learning with Diffusion-based Embedding Generation.
Proceedings of the International Conference on Machine Learning, 2023

Cones: Concept Neurons in Diffusion Models for Customized Generation.
Proceedings of the International Conference on Machine Learning, 2023

Composer: Creative and Controllable Image Synthesis with Composable Conditions.
Proceedings of the International Conference on Machine Learning, 2023

The Devil is in the Wrongly-classified Samples: Towards Unified Open-set Recognition.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

LinkGAN: Linking GAN Latents to Pixels for Controllable Image Synthesis.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-trained Vision-Language Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

RLIPv2: Fast Scaling of Relational Language-Image Pre-training.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Disentangling Spatial and Temporal Learning for Efficient Image-to-Video Transfer Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Space-time Prompting for Video Class-incremental Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Scanning Only Once: An End-to-end Framework for Fast Temporal Grounding in Long Videos.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Progressive Spatio-Temporal Prototype Matching for Text-Video Retrieval.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

ViM: Vision Middleware for Unified Downstream Transferring.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Efficient-VQGAN: Towards High-Resolution Image Generation with Efficient Vision Transformers.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Self-Organizing Pathway Expansion for Non-Exemplar Class-Incremental Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Dimensionality-Varying Diffusion Process.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RA-CLIP: Retrieval Augmented Contrastive Language-Image Pre-Training.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

LipFormer: High-fidelity and Generalizable Talking Face Generation with A Pre-learned Facial Codebook.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

MoLo: Motion-Augmented Long-Short Contrastive Learning for Few-Shot Action Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Neural Dependencies Emerging from Learning Massive Categories.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Disentangled Inference for GANs With Latently Invertible Autoencoder.
Int. J. Comput. Vis., 2022

Improving GANs with A Dynamic Discriminator.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Improving 3D-aware Image Synthesis with A Geometry-aware Discriminator.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Rank Diminishing in Deep Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Region-Based Semantic Factorization in GANs.
Proceedings of the International Conference on Machine Learning, 2022

Principled Knowledge Extrapolation with GANs.
Proceedings of the International Conference on Machine Learning, 2022

Weakly Supervised High-Fidelity Clothing Model Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Low-Rank Subspaces in GANs.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Understanding Noise Injection in GANs.
Proceedings of the 38th International Conference on Machine Learning, 2021

Uncertainty Principles of Encoding GANs.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
On Noise Injection in Generative Adversarial Networks.
CoRR, 2020

Perceptual Image Super-Resolution with Progressive Adversarial Network.
CoRR, 2020

In-Domain GAN Inversion for Real Image Editing.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Latent Variables on Spheres for Sampling and Spherical Inference.
CoRR, 2019

Curriculum Learning for Deep Generative Models with Clustering.
CoRR, 2019

LIA: Latently Invertible Autoencoder with Adversarial Learning.
CoRR, 2019

2018
DeepExposure: Learning to Expose Photos with Asynchronously Reinforced Adversarial Learning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2016
Recognizing an Action Using Its Name: A Knowledge-Based Approach.
Int. J. Comput. Vis., 2016

A Precise and Robust Clustering Approach Using Homophilic Degrees of Graph Kernel.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Learning Stable Linear Dynamical Systems with the Weighted Least Square Method.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Sparse Coding and Dictionary Learning with Linear Dynamical Systems.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Determining step sizes in geometric optimization algorithms.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Network Representation Learning with Rich Text Information.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Scalable Gaussian Process Regression Using Deep Neural Networks.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

A new retraction for accelerating the Riemannian three-factor low-rank matrix completion algorithm.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Homophilic Clustering by Locally Asymmetric Geometry.
CoRR, 2014

Errata: Distant Supervision for Relation Extraction with Matrix Completion.
CoRR, 2014

Zeta Hull Pursuits: Learning Nonconvex Data Hulls.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Distant Supervision for Relation Extraction with Matrix Completion.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
Agglomerative clustering via maximum incremental path integral.
Pattern Recognit., 2013

Face Recognition via Archetype Hull Ranking.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Face Recognition Using Face Patch Networks.
Proceedings of the IEEE International Conference on Computer Vision, 2013

2012
Graph Degree Linkage: Agglomerative Clustering on a Directed Graph.
Proceedings of the Computer Vision - ECCV 2012, 2012

2008
Cyclizing Clusters via Zeta Function of a Graph.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Classification via semi-Riemannian spaces.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Linear local tangent space alignment and application to face recognition.
Neurocomputing, 2007

Laplacian PCA and Its Applications.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Contextual Distance for Data Perception.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Linear Laplacian Discrimination for Feature Extraction.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Formulating LLE using alignment technique.
Pattern Recognit., 2006

2004
A Matrix-Oriented Method for Appearance-Based Data Compression - An Idea from Group Representation Theory.
Proceedings of the Advances in Biometric Person Authentication, 2004


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