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Weijian Deng
Weijian Deng
Verified email at anu.edu.au - Homepage
Title
Cited by
Cited by
Year
Image-image domain adaptation with preserved self-similarity and domain-dissimilarity for person re-identification
W Deng, L Zheng, Q Ye, G Kang, Y Yang, J Jiao
CVPR, 2018
10852018
Svdnet for pedestrian retrieval
Y Sun, L Zheng, W Deng, S Wang
ICCV, 2017
9252017
A light and faster regional convolutional neural network for object detection in optical remote sensing images
P Ding, Y Zhang, WJ Deng, P Jia, A Kuijper
ISPRS journal of photogrammetry and remote sensing, 2018
1742018
Are labels always necessary for classifier accuracy evaluation?
W Deng, L Zheng
CVPR, 2021
1232021
Rethinking triplet loss for domain adaptation
W Deng, L Zheng, Y Sun, J Jiao
IEEE TCSVT, 2020
772020
What does rotation prediction tell us about classifier accuracy under varying testing environments?
W Deng, S Gould, L Zheng
ICML, 2021
622021
Vehicle Re-Identification with Location and Time Stamps
K Lv, H Du, Y Hou, W Deng, H Sheng, J Jiao, L Zheng
CVPR workshops, 2019
392019
Similarity-preserving image-image domain adaptation for person re-identification
W Deng, L Zheng, Q Ye, Y Yang, J Jiao
arXiv preprint, 2018
192018
3D-GPT: Procedural 3D modeling with large language models
C Sun, J Han, W Deng, X Wang, Z Qin, S Gould
arXiv preprint arXiv:2310.12945, 2023
122023
On the Strong Correlation Between Model Invariance and Generalization
W Deng, S Gould, L Zheng
NeurIPS, 2022
112022
Ranking Models in Unlabeled New Environments
X Sun, Y Hou, W Deng, H Li, L Zheng
ICCV, 2021
102021
Domain alignment with triplets
W Deng, L Zheng, J Jiao
arXiv preprint, 2018
92018
Confidence and dispersity speak: characterizing prediction matrix for unsupervised accuracy estimation
W Deng, Y Suh, S Gould, L Zheng
ICML, 2023
62023
A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP)
W Tu, W Deng, T Gedeon
NeurIPS, 2023
52023
A bag-of-prototypes representation for dataset-level applications
W Tu, W Deng, T Gedeon, L Zheng
CVPR, 2023
52023
Fine-Grained Classification via Categorical Memory Networks
W Deng, J Marsh, S Gould, L Zheng
IEEE TIP, 2022
52022
AutoEval: Are Labels Always Necessary for Classifier Accuracy Evaluation?
W Deng, L Zheng
IEEE-TPAMI, 2024
2*2024
Split To Learn: Gradient Split for Multi-Task Human Image Analysis
W Deng, Y Suh, X Yu, M Faraki, L Zheng, M Chandraker
WACV, 2023
2*2023
Adaptive Calibrator Ensemble: Navigating Test Set Difficulty in Out-of-Distribution Scenarios
Y Zou*, W Deng*, L Zheng
ICCV, 2023
1*2023
An Empirical Study Into What Matters for Calibrating Vision-Language Models
W Tu, W Deng, D Campbell, S Gould, T Gedeon
arXiv preprint arXiv:2402.07417, 2024
2024
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