Lihe Yang
12 papers · 2021–2026 · 3 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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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (22) 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🧬 Topic Evolution
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Keyword Collector
(50)
🔥
Unstoppable · Bronze
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Prolific Year · Productive
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Century Club · Bronze
Venues
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Research topics
Machine Learning
(10)
Computer Vision
(9)
Learning Types · Machine Learning
(8)
Analysis
(7)
Deep Learning
(6)
Learning Types · Deep Learning
(5)
Artificial Intelligence
(3)
Application Areas
(3)
Core AI · Artificial Intelligence
(3)
Processing
(3)
Architectures
(1)
Core AI · Computer Vision
(1)
Core Methods
(1)
Domain-Specific
(1)
Models
(1)
Keywords
semantic segmentation
(5)
data augmentation
(5)
semi-supervised learning
(4)
monocular depth estimation
(2)
consistency regularization
(2)
pseudo labeling
(2)
depth estimation
(2)
monocular depth
(2)
metric depth
(2)
self-supervised learning
(2)
generative model
(1)
domain adaptation
(1)
feature embedding
(1)
generalization bound
(1)
zero-shot transfer
(1)
3d vision
(1)
uncertainty estimation
(1)
vision-language model
(1)
foundation model
(1)
image segmentation
(1)
Papers
In Pursuit of Pixel Supervision for Visual Pre-training
CVPR 2026
SpatialCLIP: Learning 3D-aware Image Representations from Spatially Discriminative Language
CVPR 2025
StableDepth: Scene-Consistent and Scale-Invariant Monocular Depth
ICCV 2025
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
CVPR 2024
Depth Anything V2
NeurIPS 2024
Augmentation Matters: A Simple-Yet-Effective Approach to Semi-Supervised Semantic Segmentation
CVPR 2023
Diverse Cotraining Makes Strong Semi-Supervised Segmentor
ICCV 2023
FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models
NeurIPS 2023
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
CVPR 2023
Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning
ICCV 2023
ST++: Make Self-Training Work Better for Semi-Supervised Semantic Segmentation
CVPR 2022
Mining Latent Classes for Few-Shot Segmentation
ICCV 2021