Weijian Deng

Orcid: 0000-0003-1565-742X

According to our database1, Weijian Deng authored at least 26 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
AutoEval: Are Labels Always Necessary for Classifier Accuracy Evaluation?
IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

An Empirical Study Into What Matters for Calibrating Vision-Language Models.
CoRR, 2024

Ray Deformation Networks for Novel View Synthesis of Refractive Objects.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
3D-GPT: Procedural 3D Modeling with Large Language Models.
CoRR, 2023

Adaptive Calibrator Ensemble for Model Calibration under Distribution Shift.
CoRR, 2023

Confidence and Dispersity Speak: Characterising Prediction Matrix for Unsupervised Accuracy Estimation.
CoRR, 2023

Split to Learn: Gradient Split for Multi-Task Human Image Analysis.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP).
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Confidence and Dispersity Speak: Characterizing Prediction Matrix for Unsupervised Accuracy Estimation.
Proceedings of the International Conference on Machine Learning, 2023

Adaptive Calibrator Ensemble: Navigating Test Set Difficulty in Out-of-Distribution Scenarios.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A Bag-of-Prototypes Representation for Dataset-Level Applications.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results.
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Reparameterized Residual Feature Network For Lightweight Image Super-Resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Fine-Grained Classification via Categorical Memory Networks.
IEEE Trans. Image Process., 2022

On the Strong Correlation Between Model Invariance and Generalization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Rethinking Triplet Loss for Domain Adaptation.
IEEE Trans. Circuits Syst. Video Technol., 2021

What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments?
Proceedings of the 38th International Conference on Machine Learning, 2021

Ranking Models in Unlabeled New Environments.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Are Labels Always Necessary for Classifier Accuracy Evaluation?
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Are Labels Necessary for Classifier Accuracy Evaluation?
CoRR, 2020

2019
Vehicle Re-Identification with Location and Time Stamps.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Domain Alignment with Triplets.
CoRR, 2018

Similarity-preserving Image-image Domain Adaptation for Person Re-identification.
CoRR, 2018

Image-Image Domain Adaptation With Preserved Self-Similarity and Domain-Dissimilarity for Person Re-Identification.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

A Word Embedding Transfer Model for Robust Text Categorization.
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2018

2017
SVDNet for Pedestrian Retrieval.
Proceedings of the IEEE International Conference on Computer Vision, 2017


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