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Weijian Deng
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Year
Image-Image Domain Adaptation With Preserved Self-Similarity and Domain-Dissimilarity for Person Retrieval
W Deng, L Zheng, Q Ye, G Kang, Y Yang, J Jiao
CVPR, 2018
1134*2018
Svdnet for Pedestrian Retrieval
Y Sun, L Zheng, W Deng, S Wang
ICCV, 2017
9412017
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
1782018
Are Labels Always Necessary for Classifier Accuracy Evaluation?
W Deng, L Zheng
CVPR, 2021
1342021
Rethinking Triplet Loss for Domain Adaptation
W Deng, L Zheng, Y Sun, J Jiao
IEEE TCSVT, 2020
902020
What Does Rotation Prediction Tell Us About Classifier Accuracy Under Varying Testing Environments?
W Deng, S Gould, L Zheng
ICML, 2021
692021
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
412019
Similarity-preserving image-image domain adaptation for person re-identification
W Deng, L Zheng, Q Ye, Y Yang, J Jiao
arXiv preprint, 2018
222018
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
182023
On the Strong Correlation Between Model Invariance and Generalization
W Deng, S Gould, L Zheng
NeurIPS, 2022
172022
A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP)
W Tu, W Deng, T Gedeon
NeurIPS, 2023
132023
Ranking Models in Unlabeled New Environments
X Sun, Y Hou, W Deng, H Li, L Zheng
ICCV, 2021
122021
Confidence and Dispersity Speak: Characterizing Prediction Matrix for Unsupervised Accuracy Estimation
W Deng, Y Suh, S Gould, L Zheng
ICML, 2023
82023
Fine-Grained Classification via Categorical Memory Networks
W Deng, J Marsh, S Gould, L Zheng
IEEE TIP, 2022
82022
A Bag-of-Prototypes Representation for Dataset-Level Applications
W Tu, W Deng, T Gedeon, L Zheng
CVPR, 2023
72023
Adaptive Calibrator Ensemble: Navigating Test Set Difficulty in Out-of-Distribution Scenarios
Y Zou*, W Deng*, L Zheng
ICCV, 2023
4*2023
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
4*2023
AutoEval: Are Labels Always Necessary for Classifier Accuracy Evaluation?
W Deng, L Zheng
IEEE-TPAMI, 2024
3*2024
What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions?
W Tu, W Deng, L Zheng, T Gedeon
TMLR, 2024
3*2024
Ray Deformation Networks for Novel View Synthesis of Refractive Objects
W Deng, D Campbell, C Sun, S Kanitkar, M Shaffer, S Gould
WACV, 2024
22024
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Articles 1–20