Weijian Deng
20 papers · 2017–2026 · 5 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
Jump to papers ↓+7 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (49) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π€
Dynamic Duo
(10)
π§¬
Topic Evolution
β‘
Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
β
The Questioner
(3)
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(98)
Venues
Top co-authors
Research topics
Machine Learning
(14)
Application Areas
(9)
Learning Types Β· Machine Learning
(9)
Computer Vision
(8)
Artificial Intelligence
(7)
Deep Learning
(7)
Analysis
(7)
Core AI
(7)
Learning Types Β· Deep Learning
(5)
Core Methods
(4)
Generation
(3)
Models
(3)
Optimization & Theory
(3)
Robotics
(2)
Architectures
(2)
Keywords
distribution shift
(6)
person re-identification
(2)
model evaluation
(2)
domain adaptation
(2)
volume rendering
(2)
uncertainty quantification
(2)
6d pose estimation
(2)
prediction confidence
(2)
transparent object
(2)
contrastive learning
(2)
uncertainty estimation
(2)
out-of-distribution detection
(2)
feature quantization
(1)
image segmentation
(1)
object recognition
(1)
calibration
(1)
zero-shot learning
(1)
knowledge distillation
(1)
human analysis
(1)
self-supervised learning
(1)
Papers
When Local Rules Create Global Order: Self-Organized Representation Learning for Latent Diffusion Models
CVPR 2026
Can We Achieve Efficient Diffusion Without Self-Attention? Distilling Self-Attention into Convolutions
ICCV 2025
Manual-PA: Learning 3D Part Assembly from Instruction Diagrams
ICCV 2025
Pos3R: 6D Pose Estimation for Unseen Objects Made Easy
CVPR 2025
Ranked from Within: Ranking Large Multimodal Models Without Labels
ICML 2025
An Empirical Study Into What Matters for Calibrating Vision-Language Models
ICML 2024
Differentiable Neural Surface Refinement for Modeling Transparent Objects
CVPR 2024
MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts
NeurIPS 2024
Ray Deformation Networks for Novel View Synthesis of Refractive Objects
WACV 2024
A Bag-of-Prototypes Representation for Dataset-Level Applications
CVPR 2023
A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP)
NeurIPS 2023
Adaptive Calibrator Ensemble: Navigating Test Set Difficulty in Out-of-Distribution Scenarios
ICCV 2023
Confidence and Dispersity Speak: Characterizing Prediction Matrix for Unsupervised Accuracy Estimation
ICML 2023
Split To Learn: Gradient Split for Multi-Task Human Image Analysis
WACV 2023
On the Strong Correlation Between Model Invariance and Generalization
NeurIPS 2022
Are Labels Always Necessary for Classifier Accuracy Evaluation?
CVPR 2021
Ranking Models in Unlabeled New Environments
ICCV 2021
What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments?
ICML 2021
Image-Image Domain Adaptation With Preserved Self-Similarity and Domain-Dissimilarity for Person Re-Identification
CVPR 2018
SVDNet for Pedestrian Retrieval
ICCV 2017