Weijian Deng
19 papers · 2017–2025 · 5 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (10) 🏃 Academic Marathon (8) 🧭 Keyword Pioneer 🌍 Conference Polyglot (5) 🌈 Renaissance Researcher (5)
🌍
Conference Polyglot
(5)
🏃
Academic Marathon
(8)
🌈
Renaissance Researcher
(5)
🤝
Dynamic Duo
(10)
🔥
Unstoppable
(5)
💎
Century Club
(19)
⚡
Prolific Year
(5)
🗃️
Keyword Collector
(83)
❓
The Questioner
(3)
Conferences
CVPR (5)
ICCV (5)
ICML (4)
NIPS (3)
WACV (2)
Top co-authors
Keywords
distribution shift
(5)
out-of-distribution detection
(2)
prediction confidence
(2)
model evaluation
(2)
volume rendering
(2)
uncertainty quantification
(2)
person re-identification
(2)
transparent object
(2)
domain adaptation
(2)
contrastive learning
(2)
6d pose estimation
(2)
image segmentation
(1)
feature quantization
(1)
model calibration
(1)
object recognition
(1)
zero-shot learning
(1)
human analysis
(1)
knowledge distillation
(1)
transfer learning
(1)
self-supervised learning
(1)
Papers
Manual-PA: Learning 3D Part Assembly from Instruction Diagrams
ICCV 2025
Ranked from Within: Ranking Large Multimodal Models Without Labels
ICML 2025
Pos3R: 6D Pose Estimation for Unseen Objects Made Easy
CVPR 2025
Can We Achieve Efficient Diffusion Without Self-Attention? Distilling Self-Attention into Convolutions
ICCV 2025
Differentiable Neural Surface Refinement for Modeling Transparent Objects
CVPR 2024
MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts
NIPS 2024
Ray Deformation Networks for Novel View Synthesis of Refractive Objects
WACV 2024
An Empirical Study Into What Matters for Calibrating Vision-Language Models
ICML 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)
NIPS 2023
Adaptive Calibrator Ensemble: Navigating Test Set Difficulty in Out-of-Distribution Scenarios
ICCV 2023
Split To Learn: Gradient Split for Multi-Task Human Image Analysis
WACV 2023
Confidence and Dispersity Speak: Characterizing Prediction Matrix for Unsupervised Accuracy Estimation
ICML 2023
On the Strong Correlation Between Model Invariance and Generalization
NIPS 2022
What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments?
ICML 2021
Ranking Models in Unlabeled New Environments
ICCV 2021
Are Labels Always Necessary for Classifier Accuracy Evaluation?
CVPR 2021
Image-Image Domain Adaptation With Preserved Self-Similarity and Domain-Dissimilarity for Person Re-Identification
CVPR 2018
SVDNet for Pedestrian Retrieval
ICCV 2017