Zhongxuan Luo
17 papers · 2018–2026 · 7 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🐣 Hot Topic Early Bird
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Conference Polyglot
(7)
🏃
Academic Marathon
(6)
🧭
Keyword Pioneer
🧬
Topic Evolution
🤝
Dynamic Duo
(12)
🗃️
Keyword Collector
(85)
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Conference Pioneer
💎
Century Club
(15)
🔥
Unstoppable
(7)
Conferences
CVPR (5)
AAAI (3)
ICCV (3)
IJCAI (3)
ECCV (1)
ICLR (1)
NIPS (1)
Top co-authors
Keywords
image restoration
(4)
image fusion
(2)
neural network optimization
(2)
optimal transport
(2)
semantic segmentation
(2)
multi-modal learning
(2)
convergence analysis
(2)
few-shot learning
(1)
compressive sensing
(1)
semi-supervised learning
(1)
non-convex optimization
(1)
temporal dynamics
(1)
object detection
(1)
robust optimization
(1)
online learning
(1)
attention mechanism
(1)
medical imaging
(1)
nonconvex optimization
(1)
autonomous driving
(1)
adversarial learning
(1)
Papers
RSOD: Reliability-Guided Sonar Image Object Detection with Extremely Limited Labels
AAAI 2026
OT-ALD: Aligning Latent Distributions with Optimal Transport for Accelerated Image-to-Image Translation
AAAI 2026
Bi-level Learning of Task-Specific Decoders for Joint Registration and One-Shot Medical Image Segmentation
CVPR 2024
Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and Segmentation
ICCV 2023
DPM-OT: A New Diffusion Probabilistic Model Based on Optimal Transport
ICCV 2023
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
ReCoNet: Recurrent Correction Network for Fast and Efficient Multi-Modality Image Fusion
ECCV 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
Toward Designing Convergent Deep Operator Splitting Methods for Task-specific Nonconvex Optimization
IJCAI 2018
Fast Factorization-free Kernel Learning for Unlabeled Chunk Data Streams
IJCAI 2018
A Bridging Framework for Model Optimization and Deep Propagation
NIPS 2018