Yongqin Xian
30 papers · 2016–2026 · 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.
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Research topics
Machine Learning
(22)
Deep Learning
(20)
Learning Types Β· Machine Learning
(18)
Computer Vision
(15)
Learning Types Β· Deep Learning
(13)
Artificial Intelligence
(12)
Core AI
(9)
Analysis
(8)
Core Methods
(8)
Application Areas
(6)
Processing
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Techniques
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Architectures
(4)
Models
(4)
Generation
(3)
Keywords
zero-shot learning
(9)
representation learning
(5)
semantic embedding
(4)
vision-language model
(3)
semantic segmentation
(3)
image classification
(3)
multimodal learning
(3)
contrastive learning
(3)
large language model
(3)
knowledge distillation
(3)
compositional zero-shot learning
(3)
transfer learning
(2)
few-shot learning
(2)
generative adversarial network
(2)
multimodal large language model
(2)
transformer architecture
(2)
diffusion model
(2)
model compression
(2)
knowledge transfer
(2)
feature generation
(2)
Papers
FINER: MLLMs Hallucinate under Fine-grained Negative Queries
CVPR 2026
Active Data Curation Effectively Distills Large-Scale Multimodal Models
CVPR 2025
LIME: Localized Image Editing via Attention Regularization in Diffusion Models
WACV 2025
LOGICZSL: Exploring Logic-induced Representation for Compositional Zero-shot Learning
CVPR 2025
MOBIUS: Big-to-Mobile Universal Instance Segmentation via Multi-modal Bottleneck Fusion and Calibrated Decoder Pruning
ICCV 2025
Omnia de EgoTempo: Benchmarking Temporal Understanding of Multi-Modal LLMs in Egocentric Videos
CVPR 2025
TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters
ICLR 2025
UIP2P: Unsupervised Instruction-based Image Editing via Edit Reversibility Constraint
ICCV 2025
LocCa: Visual Pretraining with Location-aware Captioners
NeurIPS 2024
PALM: Predicting Actions through Language Models
ECCV 2024
SILC: Improving Vision Language Pretraining with Self-Distillation
ECCV 2024
Text-Conditioned Resampler For Long Form Video Understanding
ECCV 2024
CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution
CVPR 2023
Detecting Adversarial Faces Using Only Real Face Self-Perturbations
IJCAI 2023
I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification
CVPR 2023
Learning Prototype Classifiers for Long-Tailed Recognition
IJCAI 2023
Urban Scene Semantic Segmentation With Low-Cost Coarse Annotation
WACV 2023
Weakly-Supervised Domain Adaptive Semantic Segmentation With Prototypical Contrastive Learning
CVPR 2023
3D Compositional Zero-Shot Learning with DeCompositional Consensus
ECCV 2022
I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classification
NeurIPS 2022
VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning
CVPR 2022
Distilling Audio-Visual Knowledge by Compositional Contrastive Learning
CVPR 2021
Learning Graph Embeddings for Compositional Zero-Shot Learning
CVPR 2021
Open World Compositional Zero-Shot Learning
CVPR 2021
Attribute Prototype Network for Zero-Shot Learning
NeurIPS 2020
F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning
CVPR 2019
Semantic Projection Network for Zero- and Few-Label Semantic Segmentation
CVPR 2019
Feature Generating Networks for Zero-Shot Learning
CVPR 2018
Zero-Shot Learning - the Good, the Bad and the Ugly
CVPR 2017
Latent Embeddings for Zero-Shot Classification
CVPR 2016