Weijia Wu
15 papers · 2023–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Renaissance Researcher (5) π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (27) π Conference Polyglot (5)
π
Cross-Pollinator
(12)
π
Keyword Champion
ποΈ
Keyword Collector
(66)
π
Century Club
(14)
β‘
Prolific Year
(6)
Conferences
NIPS (4)
CVPR (3)
ECCV (3)
ICCV (3)
AAAI (1)
ICLR (1)
Top co-authors
Keywords
diffusion model
(3)
model compression
(2)
instance segmentation
(2)
semantic segmentation
(2)
synthetic datum
(2)
generative model
(2)
video generation
(1)
prompt engineering
(1)
scene understanding
(1)
data augmentation
(1)
knowledge distillation
(1)
image synthesis
(1)
text-to-image generation
(1)
object localization
(1)
domain generalization
(1)
signal-to-noise ratio
(1)
synthetic data generation
(1)
weakly supervised learning
(1)
efficient inference
(1)
attention mechanism
(1)
Papers
Learning to Parse and Reconstruct: Bidirectional Modeling of Question-to-Program Mapping
AAAI 2026
MovieBench: A Hierarchical Movie Level Dataset for Long Video Generation
CVPR 2025
ChatGen: Automatic Text-to-Image Generation From FreeStyle Chatting
CVPR 2025
Drag Anything: Motion Control for Anything using Entity Representation
ECCV 2024
ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification
NIPS 2024
DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data
CVPR 2024
ControlCap: Controllable Region-level Captioning
ECCV 2024
MotionDirector: Motion Customization of Text-to-Video Diffusion Models
ECCV 2024
EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models
ICLR 2024
Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models
NIPS 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
DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models
NIPS 2023
PTQD: Accurate Post-Training Quantization for Diffusion Models
NIPS 2023
BiViT: Extremely Compressed Binary Vision Transformers
ICCV 2023