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 | 1120 | 2018 |
Svdnet for Pedestrian Retrieval Y Sun, L Zheng, W Deng, S Wang ICCV, 2017 | 940 | 2017 |
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 | 178 | 2018 |
Are Labels Always Necessary for Classifier Accuracy Evaluation? W Deng, L Zheng CVPR, 2021 | 130 | 2021 |
Rethinking Triplet Loss for Domain Adaptation W Deng, L Zheng, Y Sun, J Jiao IEEE TCSVT, 2020 | 90 | 2020 |
What Does Rotation Prediction Tell Us About Classifier Accuracy Under Varying Testing Environments? W Deng, S Gould, L Zheng ICML, 2021 | 68 | 2021 |
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 | 41 | 2019 |
Similarity-preserving image-image domain adaptation for person re-identification W Deng, L Zheng, Q Ye, Y Yang, J Jiao arXiv preprint, 2018 | 20 | 2018 |
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 | 18 | 2023 |
On the Strong Correlation Between Model Invariance and Generalization W Deng, S Gould, L Zheng NeurIPS, 2022 | 17 | 2022 |
A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP) W Tu, W Deng, T Gedeon NeurIPS, 2023 | 11 | 2023 |
Ranking Models in Unlabeled New Environments X Sun, Y Hou, W Deng, H Li, L Zheng ICCV, 2021 | 11 | 2021 |
Confidence and Dispersity Speak: Characterizing Prediction Matrix for Unsupervised Accuracy Estimation W Deng, Y Suh, S Gould, L Zheng ICML, 2023 | 7 | 2023 |
A Bag-of-Prototypes Representation for Dataset-Level Applications W Tu, W Deng, T Gedeon, L Zheng CVPR, 2023 | 7 | 2023 |
Fine-Grained Classification via Categorical Memory Networks W Deng, J Marsh, S Gould, L Zheng IEEE TIP, 2022 | 7 | 2022 |
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 | 3* | 2023 |
AutoEval: Are Labels Always Necessary for Classifier Accuracy Evaluation? W Deng, L Zheng IEEE-TPAMI, 2024 | 2* | 2024 |
What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions? W Tu, W Deng, L Zheng, T Gedeon TMLR, 2024 | 2* | 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 | 2 | 2024 |