Xiangyu Yue
54 papers · 2018–2026 · 11 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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Venues
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Deep Learning
(30)
Machine Learning
(26)
Artificial Intelligence
(24)
Computer Vision
(24)
Core AI
(23)
Learning Types Β· Machine Learning
(16)
Models
(15)
Learning Types Β· Deep Learning
(14)
Generation
(12)
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(11)
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(8)
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(7)
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(6)
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(5)
Keywords
multimodal learning
(8)
semantic segmentation
(7)
diffusion model
(7)
large language model
(7)
multimodal large language model
(6)
domain adaptation
(5)
autonomous driving
(4)
foundation model
(4)
vision-language model
(4)
semi-supervised learning
(3)
point cloud
(3)
supervised fine-tuning
(3)
diffusion transformer
(3)
multi-task learning
(3)
representation learning
(3)
generative model
(3)
text-to-image generation
(3)
object detection
(3)
knowledge distillation
(3)
variational autoencoder
(3)
Papers
3D-Aware Multi-Task Learning with Cross-View Correlations for Dense Scene Understanding
CVPR 2026
Language Does Matter for Cross-Domain Few-Shot Visual Feature Enhancement
CVPR 2026
LATTICE: Democratize High-Fidelity 3D Generation at Scale
CVPR 2026
Learning While Staying Curious: Entropy-Preserving Supervised Fine-Tuning via Adaptive Self-Distillation for Large Reasoning Models
ACL 2026
MMBench-GUI: A Unified Hierarchical Evaluation Framework for Multi-Platform GUI Agents
CVPR 2026
NaTex: Seamless Texture Generation as Latent Color Diffusion
CVPR 2026
OneThinker: All-in-one Reasoning Model for Image and Video
CVPR 2026
OS-Oracle: A Comprehensive Framework for Cross-Platform GUI Critic Models
CVPR 2026
Probing Audio-Visual Reasoning in Multimodal Language Models through the Lens of Audio
ACL 2026
SpatialLogic-Bench: A Diagnostic Benchmark for Task-Oriented Spatiotemporal Reasoning
AAAI 2026
StyleDoctor: Towards Specialist Reward Model for Style-centric Generation Tasks
CVPR 2026
Transition Models: Rethinking the Generative Learning Objective
CVPR 2026
Breaking the Encoder Barrier for Seamless Video-Language Understanding
ICCV 2025
Chimera: Improving Generalist Model with Domain-Specific Experts
ICCV 2025
CMT: A Cascade MAR with Topology Predictor for Multimodal Conditional CAD Generation
ICCV 2025
DiTCtrl: Exploring Attention Control in Multi-Modal Diffusion Transformer for Tuning-Free Multi-Prompt Longer Video Generation
CVPR 2025
Divide and Conquer: Grounding LLMs as Efficient Decision-Making Agents via Offline Hierarchical Reinforcement Learning
ICML 2025
FairGen: Enhancing Fairness in Text-to-Image Diffusion Models via Self-Discovering Latent Directions
ICCV 2025
From Easy to Hard: Progressive Active Learning Framework for Infrared Small Target Detection with Single Point Supervision
ICCV 2025
HiddenDetect: Detecting Jailbreak Attacks against Multimodal Large Language Models via Monitoring Hidden States
ACL 2025
HypDAE: Hyperbolic Diffusion Autoencoders for Hierarchical Few-shot Image Generation
ICCV 2025
Learning Beyond Still Frames: Scaling Vision-Language Models with Video
ICCV 2025
RAP: Retrieval-Augmented Personalization for Multimodal Large Language Models
CVPR 2025
Reflective Planning: Vision-Language Models for Multi-Stage Long-Horizon Robotic Manipulation
CoRL 2025
Scaling Omni-modal Pretraining with Multimodal Context: Advancing Universal Representation Learning Across Modalities
ICCV 2025
SemGeoMo: Dynamic Contextual Human Motion Generation with Semantic and Geometric Guidance
CVPR 2025
SynFER: Towards Boosting Facial Expression Recognition with Synthetic Data
ICCV 2025
Training Matting Models Without Alpha Labels
AAAI 2025
UniSTD: Towards Unified Spatio-Temporal Learning across Diverse Disciplines
CVPR 2025
Unleashing Vecset Diffusion Model for Fast Shape Generation
ICCV 2025
Unposed Sparse Views Room Layout Reconstruction in the Age of Pretrain Model
ICLR 2025
Bifr\"ost: 3D-Aware Image Compositing with Language Instructions
NeurIPS 2024
Better Regression Makes Better Test-time Adaptive 3D Object Detection
ECCV 2024
Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization
ACL 2024
EMR-Merging: Tuning-Free High-Performance Model Merging
NeurIPS 2024
Lumina-Next : Making Lumina-T2X Stronger and Faster with Next-DiT
NeurIPS 2024
Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities
CVPR 2024
OneLLM: One Framework to Align All Modalities with Language
CVPR 2024
Online Vectorized HD Map Construction using Geometry
ECCV 2024
UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio Video Point Cloud Time-Series and Image Recognition
CVPR 2024
Beating Backdoor Attack at Its Own Game
ICCV 2023
Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models
ICCV 2023
Space Engage: Collaborative Space Supervision for Contrastive-Based Semi-Supervised Semantic Segmentation
ICCV 2023
Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data
AAAI 2022
Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models
ECCV 2022
RankSeg: Adaptive Pixel Classification with Image Category Ranking for Segmentation
ECCV 2022
Self-Supervised Pretraining Improves Self-Supervised Pretraining
WACV 2022
Prototypical Cross-Domain Self-Supervised Learning for Few-Shot Unsupervised Domain Adaptation
CVPR 2021
Unsupervised Point Cloud Pre-Training via Occlusion Completion
ICCV 2021
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation
CVPR 2020
Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization Without Accessing Target Domain Data
ICCV 2019
Multi-source Domain Adaptation for Semantic Segmentation
NeurIPS 2019
Counterexample-Guided Data Augmentation
IJCAI 2018
Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions
CVPR 2018