Jihan Yang
14 papers · 2019–2026 · 6 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
Jump to papers ↓+4 more ↓ Show less ↑
π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (33)
π§¬
Topic Evolution
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
ποΈ
Keyword Collector
(71)
Top co-authors
Research topics
Machine Learning
(9)
Deep Learning
(7)
Learning Types Β· Deep Learning
(7)
Learning Types Β· Machine Learning
(7)
Artificial Intelligence
(6)
Computer Vision
(6)
Analysis
(6)
Application Areas
(5)
Core AI
(5)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Applications
(1)
Domain-Specific
(1)
Learning Paradigms
(1)
Methods
(1)
Keywords
semantic segmentation
(4)
vision-language model
(3)
multimodal large language model
(3)
domain adaptation
(3)
spatial reasoning
(2)
point cloud
(2)
model compression
(2)
transfer learning
(2)
contrastive learning
(2)
instance segmentation
(2)
unsupervised learning
(2)
pseudo label
(2)
knowledge distillation
(2)
3d scene understanding
(2)
3d object detection
(2)
representation learning
(2)
self-supervised learning
(1)
object detection
(1)
scene understanding
(1)
feature extraction
(1)
Papers
From Where Things Are to What They Are For: Benchmarking Spatial-Functional Intelligence in Multimodal LLMs
CVPR 2026
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
ICML 2025
Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces
CVPR 2025
Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs
NeurIPS 2024
RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understanding
CVPR 2024
V-IRL: Grounding Virtual Intelligence in Real Life
ECCV 2024
PLA: Language-Driven Open-Vocabulary 3D Scene Understanding
CVPR 2023
DODA: Data-Oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentation
ECCV 2022
Knowledge Distillation As Efficient Pre-Training: Faster Convergence, Higher Data-Efficiency, and Better Transferability
CVPR 2022
Towards Efficient 3D Object Detection with Knowledge Distillation
NeurIPS 2022
Re-Distributing Biased Pseudo Labels for Semi-Supervised Semantic Segmentation: A Baseline Investigation
ICCV 2021
ST3D: Self-Training for Unsupervised Domain Adaptation on 3D Object Detection
CVPR 2021
An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation
AAAI 2020
Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation
ICCV 2019