Ao Luo
26 papers · 2020–2026 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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Research topics
Computer Vision
(18)
Deep Learning
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Machine Learning
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Processing
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Artificial Intelligence
(6)
Core AI
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Core Methods
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Learning Types Β· Machine Learning
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Healthcare & Medicine
(2)
Natural Language Processing
(2)
Keywords
motion estimation
(6)
optical flow
(6)
diffusion model
(4)
video processing
(3)
optical flow estimation
(3)
graph neural network
(2)
generative model
(2)
medical imaging
(2)
event camera
(2)
image generation
(1)
dense matching
(1)
scene understanding
(1)
uncertainty quantification
(1)
feature learning
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image classification
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feature extraction
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model distillation
(1)
domain adaptation
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contrastive learning
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knowledge distillation
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Papers
DMAligner: Enhancing Image Alignment via Diffusion Model Based View Synthesis
CVPR 2026
GeneVAR: Causal MeanFlow for Autoregressive Gene-to-WSI Tile Synthesis
CVPR 2026
I2CD: An Invertible Causal Framework for Compositional Zero-Shot Learning via Disentangle-Compose-Disentangle
AAAI 2026
Optical Flow Matching: Reframing Optical Flow as Continuous Transport Dynamics
CVPR 2026
Forensics Adapter: Adapting CLIP for Generalizable Face Forgery Detection
CVPR 2025
MExD: An Expert-Infused Diffusion Model for Whole-Slide Image Classification
CVPR 2025
Advancing Open-Set Domain Generalization Using Evidential Bi-Level Hardest Domain Scheduler
NeurIPS 2024
Better Explain Transformers by Illuminating Important Information
EACL 2024
Efficient Meshflow and Optical Flow Estimation from Event Cameras
CVPR 2024
FlowDiffuser: Advancing Optical Flow Estimation with Diffusion Models
CVPR 2024
FocusDiffuser: Perceiving Local Disparities for Camouflaged Object Detection
ECCV 2024
LightenDiffusion: Unsupervised Low-Light Image Enhancement with Latent-Retinex Diffusion Models
ECCV 2024
RecDiffusion: Rectangling for Image Stitching with Diffusion Models
CVPR 2024
SCP: Spherical-Coordinate-Based Learned Point Cloud Compression
AAAI 2024
Cross-View Language Modeling: Towards Unified Cross-Lingual Cross-Modal Pre-training
ACL 2023
Explicit Motion Disentangling for Efficient Optical Flow Estimation
ICCV 2023
GAFlow: Incorporating Gaussian Attention into Optical Flow
ICCV 2023
Learning Optical Flow from Event Camera with Rendered Dataset
ICCV 2023
Learning Optical Flow with Adaptive Graph Reasoning
AAAI 2022
Learning Optical Flow With Kernel Patch Attention
CVPR 2022
RealFlow: EM-Based Realistic Optical Flow Dataset Generation from Videos
ECCV 2022
Probabilistic Model Distillation for Semantic Correspondence
CVPR 2021
Uncertainty-Guided Transformer Reasoning for Camouflaged Object Detection
ICCV 2021
WebSRC: A Dataset for Web-Based Structural Reading Comprehension
EMNLP 2021
Cascade Graph Neural Networks for RGB-D Salient Object Detection
ECCV 2020
Hybrid Graph Neural Networks for Crowd Counting
AAAI 2020