Zhongxuan Luo
17 papers · 2018–2026 · 7 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.
Achievements
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πΊοΈ Taxonomy Completionist (39) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Topic Evolution
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Dynamic Duo
(13)
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Trend Setter
π
Conference Pioneer
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Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
ποΈ
Keyword Collector
(91)
Top co-authors
Research topics
Computer Vision
(13)
Deep Learning
(11)
Machine Learning
(11)
Processing
(7)
Learning Types Β· Machine Learning
(6)
Analysis
(5)
Optimization & Theory Β· Machine Learning
(5)
Mathematics & Optimization
(4)
Domain-Specific
(4)
Optimization
(4)
Optimization & Theory Β· Deep Learning
(4)
Healthcare & Medicine
(3)
Clinical
(3)
Learning Types Β· Deep Learning
(3)
Models
(3)
Keywords
image restoration
(4)
optimal transport
(3)
medical imaging
(2)
image fusion
(2)
bilevel optimization
(2)
convergence analysis
(2)
semantic segmentation
(2)
neural network optimization
(2)
multimodal learning
(2)
non-convex optimization
(2)
semi-supervised learning
(1)
compressive sensing
(1)
temporal dynamics
(1)
object detection
(1)
robust optimization
(1)
generative modeling
(1)
online learning
(1)
adversarial learning
(1)
attention mechanism
(1)
image generation
(1)
Papers
OT-ALD: Aligning Latent Distributions with Optimal Transport for Accelerated Image-to-Image Translation
AAAI 2026
RSOD: Reliability-Guided Sonar Image Object Detection with Extremely Limited Labels
AAAI 2026
Bi-level Learning of Task-Specific Decoders for Joint Registration and One-Shot Medical Image Segmentation
CVPR 2024
DPM-OT: A New Diffusion Probabilistic Model Based on Optimal Transport
ICCV 2023
Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and Segmentation
ICCV 2023
ReCoNet: Recurrent Correction Network for Fast and Efficient Multi-Modality Image Fusion
ECCV 2022
Segment, Magnify and Reiterate: Detecting Camouflaged Objects the Hard Way
CVPR 2022
Target-Aware Dual Adversarial Learning and a Multi-Scenario Multi-Modality Benchmark To Fuse Infrared and Visible for Object Detection
CVPR 2022
Toward Fast, Flexible, and Robust Low-Light Image Enhancement
CVPR 2022
Dynamic Context-Sensitive Filtering Network for Video Salient Object Detection
ICCV 2021
Retinex-Inspired Unrolling With Cooperative Prior Architecture Search for Low-Light Image Enhancement
CVPR 2021
AE-OT: A NEW GENERATIVE MODEL BASED ON EXTENDED SEMI-DISCRETE OPTIMAL TRANSPORT
ICLR 2020
Bi-level Probabilistic Feature Learning for Deformable Image Registration
IJCAI 2020
A Theoretically Guaranteed Deep Optimization Framework for Robust Compressive Sensing MRI
AAAI 2019
A Bridging Framework for Model Optimization and Deep Propagation
NeurIPS 2018
Fast Factorization-free Kernel Learning for Unlabeled Chunk Data Streams
IJCAI 2018
Toward Designing Convergent Deep Operator Splitting Methods for Task-specific Nonconvex Optimization
IJCAI 2018