Kaiyang Zhou
18 papers · 2019–2026 · 7 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 ↓+7 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (41) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π
Grand Slam
π§¬
Topic Evolution
π
Trend Setter
β
The Questioner
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(71)
Top co-authors
Research topics
Deep Learning
(10)
Machine Learning
(9)
Artificial Intelligence
(7)
Core AI
(6)
Learning Types Β· Deep Learning
(6)
Computer Vision
(5)
Application Areas
(5)
Learning Types Β· Machine Learning
(5)
Analysis
(4)
Core Methods
(3)
Learning Paradigms
(3)
Architectures
(2)
Models
(2)
Processing
(2)
Techniques
(2)
Keywords
few-shot learning
(4)
vision-language model
(3)
domain adaptation
(3)
domain generalization
(3)
temporal reasoning
(2)
video understanding
(2)
panoptic segmentation
(2)
prompt learning
(2)
transfer learning
(2)
knowledge distillation
(2)
scene graph generation
(2)
convolutional neural network
(2)
object detection
(1)
uncertainty quantification
(1)
temporal modeling
(1)
calibration
(1)
anomaly detection
(1)
semantic segmentation
(1)
chain-of-thought reasoning
(1)
adversarial learning
(1)
Papers
Streaming Video Instruction Tuning
CVPR 2026
Bootstrapping Grounded Chain-of-Thought in Multimodal LLMs for Data-Efficient Model Adaptation
ICCV 2025
Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models
CVPR 2024
Octopus: Embodied Vision-Language Programmer from Environmental Feedback
ECCV 2024
Open-Vocabulary Calibration for Fine-tuned CLIP
ICML 2024
Prompting Vision Foundation Models for Pathology Image Analysis
CVPR 2024
4D Panoptic Scene Graph Generation
NeurIPS 2023
Panoptic Video Scene Graph Generation
CVPR 2023
What Makes Good Examples for Visual In-Context Learning?
NeurIPS 2023
Conditional Prompt Learning for Vision-Language Models
CVPR 2022
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection
NeurIPS 2022
Open-Vocabulary DETR with Conditional Matching
ECCV 2022
Panoptic Scene Graph Generation
ECCV 2022
Domain Generalization with MixStyle
ICLR 2021
Energy-Based Open-World Uncertainty Modeling for Confidence Calibration
ICCV 2021
Deep Domain-Adversarial Image Generation for Domain Generalisation
AAAI 2020
Learning to Generate Novel Domains for Domain Generalization
ECCV 2020
Omni-Scale Feature Learning for Person Re-Identification
ICCV 2019