Zhiwu Lu
Cited by
Cited by
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
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
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
Constrained spectral clustering via exhaustive and efficient constraint propagation
Z Lu, HHS Ip
European Conference on Computer Vision (ECCV), 1-14, 2010
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
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
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
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
Image categorization with spatial mismatch kernels
Z Lu, HHS Ip
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 397-404, 2009
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
Domain-Invariant Projection Learning for Zero-Shot Recognition
A Zhao, M Ding, J Guan, Z Lu, T Xiang, JR Wen
32nd Conference on Neural Information Processing Systems (NeurIPS), 1025-1036, 2018
Multi-modal constraint propagation for heterogeneous image clustering
Z Fu, HHS Ip, H Lu, Z Lu
ACM International Conference on Multimedia (ACM MM), 143-152, 2011
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
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
Image categorization by learning with context and consistency
Z Lu, HHS Ip
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2719-2726, 2009
CMsearch: simultaneous exploration of protein sequence space and structure space improves not only protein homology detection but also protein structure prediction
X Cui, Z Lu, S Wang, J Jing-Yan Wang, X Gao
Bioinformatics 32 (12), i332-i340, 2016
Image classification by visual bag-of-words refinement and reduction
Z Lu, L Wang, JR Wen
Neurocomputing 173, 373-384, 2016
Image categorization via robust pLSA
Z Lu, Y Peng, HHS Ip
Pattern Recognition Letters 31 (1), 36-43, 2010
From Comparing Clusterings to Combining Clusterings
Z Lu, Y Peng, J Xiao
AAAI Conference on Artificial Intelligence (AAAI), 665-670, 2008
Noise-robust semi-supervised learning via fast sparse coding
Z Lu, L Wang
Pattern Recognition 48 (2), 605-612, 2015
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