Yingya Zhang
27 papers · 2013–2025 · 7 venues · across top CS/AI venues
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Achievements
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Keyword Collector
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Research topics
Computer Vision
(17)
Deep Learning
(17)
Machine Learning
(15)
Generation
(13)
Artificial Intelligence
(10)
Models
(10)
Core AI
(9)
Optimization & Theory Β· Machine Learning
(7)
Learning Types Β· Deep Learning
(6)
Learning Types Β· Machine Learning
(6)
Core Methods
(4)
Optimization & Theory Β· Deep Learning
(4)
Processing
(4)
Analysis
(3)
Learning Paradigms
(3)
Keywords
diffusion model
(7)
video generation
(6)
text-to-video generation
(3)
few-shot learning
(3)
temporal modeling
(3)
communication efficiency
(3)
transfer learning
(3)
contrastive learning
(2)
face generation
(2)
video customization
(2)
generative model
(2)
decentralized optimization
(2)
action recognition
(2)
non-convex optimization
(2)
video recognition
(2)
distributed training
(2)
video diffusion model
(2)
stochastic gradient descent
(2)
reward modeling
(1)
representation learning
(1)
Papers
DreamRelation: Relation-Centric Video Customization
ICCV 2025
FreeMask: Rethinking the Importance of Attention Masks for Zero-Shot Video Editing
AAAI 2025
FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion
ICCV 2025
PersonalVideo: High ID-Fidelity Video Customization without Dynamic and Semantic Degradation
ICCV 2025
Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model
CVPR 2025
AE-NeRF: Audio Enhanced Neural Radiance Field for Few Shot Talking Head Synthesis
AAAI 2024
A Recipe for Scaling up Text-to-Video Generation with Text-free Videos
CVPR 2024
DreamVideo: Composing Your Dream Videos with Customized Subject and Motion
CVPR 2024
EvolveDirector: Approaching Advanced Text-to-Image Generation with Large Vision-Language Models
NeurIPS 2024
Hierarchical Spatio-temporal Decoupling for Text-to-Video Generation
CVPR 2024
InstructVideo: Instructing Video Diffusion Models with Human Feedback
CVPR 2024
S^3D-NeRF: Single-Shot Speech-Driven Neural Radiance Field for High Fidelity Talking Head Synthesis
ECCV 2024
Disentangling Spatial and Temporal Learning for Efficient Image-to-Video Transfer Learning
ICCV 2023
Enlarging Instance-Specific and Class-Specific Information for Open-Set Action Recognition
CVPR 2023
FaceComposer: A Unified Model for Versatile Facial Content Creation
NeurIPS 2023
LipFormer: High-Fidelity and Generalizable Talking Face Generation With a Pre-Learned Facial Codebook
CVPR 2023
MoLo: Motion-Augmented Long-Short Contrastive Learning for Few-Shot Action Recognition
CVPR 2023
RLIPv2: Fast Scaling of Relational Language-Image Pre-Training
ICCV 2023
Space-time Prompting for Video Class-incremental Learning
ICCV 2023
The Devil is in the Wrongly-classified Samples: Towards Unified Open-set Recognition
ICLR 2023
VideoComposer: Compositional Video Synthesis with Motion Controllability
NeurIPS 2023
Revisiting Optimal Convergence Rate for Smooth and Non-convex Stochastic Decentralized Optimization
NeurIPS 2022
Accelerating Gossip SGD with Periodic Global Averaging
ICML 2021
Communication Efficient SGD via Gradient Sampling With Bayes Prior
CVPR 2021
DecentLaM: Decentralized Momentum SGD for Large-Batch Deep Training
ICCV 2021
Distribution Adaptive INT8 Quantization for Training CNNs
AAAI 2021
Robust Subspace Clustering via Half-Quadratic Minimization
ICCV 2013