Xiaoshi Wu
9 papers · 2021–2025 · 4 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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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(29)
🐣
Hot Topic Early Bird
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(8)
Deep Learning
(7)
Computer Vision
(6)
Artificial Intelligence
(5)
Learning Types · Machine Learning
(5)
Models
(5)
Core AI · Artificial Intelligence
(4)
Generation
(4)
Learning Types · Deep Learning
(4)
Analysis
(3)
Learning Paradigms
(2)
Natural Language Processing
(1)
Application Areas
(1)
Core AI · Computer Vision
(1)
Core Methods
(1)
Keywords
text-to-image generation
(3)
diffusion model
(3)
multimodal learning
(2)
foundation model
(2)
human preference score
(2)
vision-language model
(2)
human preference
(2)
preference learning
(1)
visual question answering
(1)
transfer learning
(1)
model alignment
(1)
preference modeling
(1)
image captioning
(1)
open-vocabulary detection
(1)
multimodal reasoning
(1)
model fine-tuning
(1)
weakly supervised learning
(1)
diffusion model fine-tuning
(1)
multimodal model
(1)
object detection
(1)
Papers
HPSv3: Towards Wide-Spectrum Human Preference Score
ICCV 2025
Be-Your-Outpainter: Mastering Video Outpainting through Input-Specific Adaptation
ECCV 2024
CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching
NeurIPS 2024
Deep Reward Supervisions for Tuning Text-to-Image Diffusion Models
ECCV 2024
CORA: Adapting CLIP for Open-Vocabulary Detection With Region Prompting and Anchor Pre-Matching
CVPR 2023
Human Preference Score: Better Aligning Text-to-Image Models with Human Preference
ICCV 2023
JourneyDB: A Benchmark for Generative Image Understanding
NeurIPS 2023
Uni-Perceiver: Pre-Training Unified Architecture for Generic Perception for Zero-Shot and Few-Shot Tasks
CVPR 2022
Towers of Babel: Combining Images, Language, and 3D Geometry for Learning Multimodal Vision
ICCV 2021