Stebėti
Zhiwu Lu
Pavadinimas
Cituota
Cituota
Metai
Pre-trained models: Past, present and future
X Han, Z Zhang, N Ding, Y Gu, X Liu, Y Huo, J Qiu, Y Yao, A Zhang, ...
AI Open 2, 225-250, 2021
6282021
Counterfactual VQA: A Cause-Effect Look at Language Bias
Y Niu, K Tang, H Zhang, Z Lu, XS Hua, JR Wen
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 12700 …, 2021
3772021
SVT-Net: Super Light-Weight Sparse Voxel Transformer for Large Scale Place Recognition
Z Fan, Z Song, H Liu, Z Lu, J He, X Du
AAAI Conference on Artificial Intelligence (AAAI), 2022
319*2022
Learning Depth-Guided Convolutions for Monocular 3D Object Detection
M Ding, Y Huo, H Yi, Z Wang, J Shi, Z Lu, P Luo
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 11672 …, 2020
2962020
Zero and Few Shot Learning with Semantic Feature Synthesis and Competitive Learning
Z Lu, J Guan, A Li, T Xiang, A Zhao, JR Wen
IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (7), 2510-2523, 2021
228*2021
Towards artificial general intelligence via a multimodal foundation model
N Fei, Z Lu, Y Gao, G Yang, Y Huo, J Wen, H Lu, R Song, X Gao, T Xiang, ...
Nature Communications 13 (1), 3094, 2022
164*2022
Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy
A Li, T Luo, Z Lu, T Xiang, L Wang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 7212-7220, 2019
1452019
Learning from Weak and Noisy Labels for Semantic Segmentation
Z Lu, Z Fu, T Xiang, P Han, L Wang, X Gao
IEEE Transactions on Pattern Analysis and Machine Intelligence 39 (3), 486-500, 2017
1352017
Recursive Visual Attention in Visual Dialog
Y Niu, H Zhang, M Zhang, J Zhang, Z Lu, JR Wen
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 6679-6688, 2019
1322019
WenLan: Bridging vision and language by large-scale multi-modal pre-training
Y Huo, M Zhang, G Liu, H Lu, Y Gao, G Yang, J Wen, H Zhang, B Xu, ...
arXiv preprint arXiv:2103.06561, 2021
1192021
MELR: Meta-Learning via Modeling Episode-Level Relationships for Few-Shot Learning
N Fei, Z Lu, T Xiang, S Huang
International Conference on Learning Representations (ICLR), 2021
1192021
Constrained spectral clustering via exhaustive and efficient constraint propagation
Z Lu, HHS Ip
European Conference on Computer Vision (ECCV), 1-14, 2010
992010
Exhaustive and efficient constraint propagation: A graph-based learning approach and its applications
Z Lu, Y Peng
International Journal of Computer Vision 103 (3), 306-325, 2013
972013
IEPT: Instance-Level and Episode-Level Pretext Tasks for Few-Shot Learning
M Zhang, J Zhang, Z Lu, T Xiang, M Ding, S Huang
International Conference on Learning Representations (ICLR), 2021
942021
Multi-Modal Multi-Scale Deep Learning for Large-Scale Image Annotation
Y Niu, Z Lu, JR Wen, T Xiang, SF Chang
IEEE Transactions on Image Processing 28 (4), 1720-1731, 2019
912019
Domain-Adaptive Few-Shot Learning
A Zhao, M Ding, Z Lu, T Xiang, Y Niu, J Guan, JR Wen
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 1390-1399, 2021
902021
Zero-shot scene classification for high spatial resolution remote sensing images
A Li, Z Lu, L Wang, T Xiang, JR Wen
IEEE Transactions on Geoscience and Remote Sensing 55 (7), 4157-4167, 2017
892017
Z-Score Normalization, Hubness, and Few-Shot Learning
N Fei, Y Gao, Z Lu, T Xiang
IEEE/CVF International Conference on Computer Vision (ICCV), 142-151, 2021
752021
Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow
M Ding, Z Wang, B Zhou, J Shi, Z Lu, P Luo
AAAI Conference on Artificial Intelligence (AAAI), 10713-10720, 2020
732020
COTS: Collaborative Two-Stream Vision-Language Pre-Training Model for Cross-Modal Retrieval
H Lu, N Fei, Y Huo, Y Gao, Z Lu, JR Wen
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 15692 …, 2022
622022
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