Junyi Wu
11 papers · 2024–2026 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (29) 💎 Century Club · Bronze ⚡ Prolific Year · Productive
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Keyword Collector
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Deep Learning
(9)
Machine Learning
(8)
Computer Vision
(7)
Application Areas · Machine Learning
(5)
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Artificial Intelligence
(4)
Core AI · Artificial Intelligence
(4)
Models
(4)
Optimization & Theory · Deep Learning
(4)
Analysis
(3)
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(3)
Optimization & Theory · Machine Learning
(3)
Core AI · Computer Vision
(2)
Generation
(2)
Application Areas · Deep Learning
(1)
Keywords
vision transformer
(3)
model quantization
(2)
low-bit quantization
(2)
multimodal learning
(2)
image generation
(2)
model interpretability
(2)
pedestrian attribute recognition
(2)
diffusion transformer
(2)
attention visualization
(2)
representation learning
(2)
diffusion model
(2)
model compression
(2)
neural network optimization
(1)
prompt learning
(1)
feature attribution
(1)
instance segmentation
(1)
multi-task learning
(1)
sample selection
(1)
conditional generation
(1)
saliency mapping
(1)
Papers
Consistent Instance Field for Dynamic Scene Understanding
CVPR 2026
MCMoE: Completing Missing Modalities with Mixture of Experts for Incomplete Multimodal Action Quality Assessment
AAAI 2026
CaO2: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation
ICCV 2025
Enhanced Visual-Semantic Interaction with Tailored Prompts for Pedestrian Attribute Recognition
CVPR 2025
QuantCache: Adaptive Importance-Guided Quantization with Hierarchical Latent and Layer Caching for Video Generation
ICCV 2025
QuEST: Low-bit Diffusion Model Quantization via Efficient Selective Finetuning
ICCV 2025
Dataset Quantization with Active Learning based Adaptive Sampling
ECCV 2024
On the Faithfulness of Vision Transformer Explanations
CVPR 2024
PTQ4DiT: Post-training Quantization for Diffusion Transformers
NeurIPS 2024
Selective and Orthogonal Feature Activation for Pedestrian Attribute Recognition
AAAI 2024
Token Transformation Matters: Towards Faithful Post-hoc Explanation for Vision Transformer
CVPR 2024