Yuhang Lu
12 papers · 2018–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (7) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (7) π Cross-Pollinator (9)
π
Conference Polyglot
(7)
ποΈ
Keyword Collector
(62)
π
Conference Pioneer
π
Century Club
(11)
π₯
Unstoppable
(5)
β
The Questioner
(2)
Conferences
AAAI (4)
ECCV (2)
ICCV (2)
CVPR (1)
IJCAI (1)
NIPS (1)
WACV (1)
Top co-authors
Keywords
semantic segmentation
(3)
unsupervised learning
(2)
homography estimation
(2)
autonomous driving
(2)
scene understanding
(2)
domain adaptation
(2)
image alignment
(2)
graph representation learning
(1)
image generation
(1)
zero-shot learning
(1)
style transfer
(1)
optimal transport
(1)
3d scene understanding
(1)
knowledge distillation
(1)
visual saliency
(1)
multi-modal learning
(1)
3d occupancy prediction
(1)
computer vision
(1)
depth estimation
(1)
anomaly detection
(1)
Papers
OT-ALD: Aligning Latent Distributions with Optimal Transport for Accelerated Image-to-Image Translation
AAAI 2026
ReAL-AD: Towards Human-Like Reasoning in End-to-End Autonomous Driving
ICCV 2025
Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning
IJCAI 2025
Can LVLMs Obtain a Driverβs License? A Benchmark Towards Reliable AGI for Autonomous Driving
AAAI 2025
OctreeOcc: Efficient and Multi-Granularity Occupancy Prediction Using Octree Queries
NIPS 2024
Towards Visual Saliency Explanations of Face Verification
WACV 2024
See More and Know More: Zero-shot Point Cloud Segmentation via Multi-modal Visual Data
ICCV 2023
Semi-supervised Deep Large-Baseline Homography Estimation with Progressive Equivalence Constraint
AAAI 2023
Unsupervised Homography Estimation With Coplanarity-Aware GAN
CVPR 2022
Style Mixing and Patchwise Prototypical Matching for One-Shot Unsupervised Domain Adaptive Semantic Segmentation
AAAI 2022
Structured Landmark Detection via Topology-Adapting Deep Graph Learning
ECCV 2020
Does Haze Removal Help CNN-based Image Classification?
ECCV 2018