Weijia Wu
16 papers · 2023–2026 · 6 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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🌉 Interdisciplinary Bridge · Silver 🌍 Conference Polyglot · Silver 🗺️ Taxonomy Completionist (28) 🧭 Keyword Pioneer 💎 Century Club · Bronze
🗃️
Keyword Collector
(75)
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Prolific Year · Productive
Top co-authors
Research topics
Deep Learning
(11)
Machine Learning
(9)
Models
(8)
Computer Vision
(7)
Application Areas
(7)
Artificial Intelligence
(4)
Core AI · Artificial Intelligence
(4)
Generation
(4)
Analysis
(3)
Architectures
(3)
Learning Types · Machine Learning
(3)
Learning Types · Deep Learning
(2)
Optimization & Theory
(2)
Natural Language Processing
(1)
Core AI · Computer Vision
(1)
Keywords
diffusion model
(4)
model compression
(3)
instance segmentation
(2)
semantic segmentation
(2)
generative model
(2)
synthetic data
(2)
scene understanding
(1)
data augmentation
(1)
domain generalization
(1)
knowledge distillation
(1)
weakly supervised learning
(1)
in-context learning
(1)
prompt engineering
(1)
image synthesis
(1)
image generation
(1)
object localization
(1)
attention mechanism
(1)
text-to-image generation
(1)
efficient inference
(1)
image editing
(1)
Papers
Learning to Parse and Reconstruct: Bidirectional Modeling of Question-to-Program Mapping
AAAI 2026
WEAVE: Unleashing and Benchmarking the In-context Interleaved Comprehension and Generation
CVPR 2026
ChatGen: Automatic Text-to-Image Generation From FreeStyle Chatting
CVPR 2025
MovieBench: A Hierarchical Movie Level Dataset for Long Video Generation
CVPR 2025
ControlCap: Controllable Region-level Captioning
ECCV 2024
DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data
CVPR 2024
Drag Anything: Motion Control for Anything using Entity Representation
ECCV 2024
EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models
ICLR 2024
MotionDirector: Motion Customization of Text-to-Video Diffusion Models
ECCV 2024
ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification
NeurIPS 2024
BiViT: Extremely Compressed Binary Vision Transformers
ICCV 2023
DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models
NeurIPS 2023
DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion Models
ICCV 2023
Generative Prompt Model for Weakly Supervised Object Localization
ICCV 2023
Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models
NeurIPS 2023
PTQD: Accurate Post-Training Quantization for Diffusion Models
NeurIPS 2023