172 results on '"Tang, Zhenmin"'
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2. Hierarchical Feature Alignment Network for Unsupervised Video Object Segmentation
3. Statistical guaranted noisy tensor recovery by fusing low-rankness on all orientations in frequency-original domains
4. Co-mining: Mining informative samples with noisy labels
5. Depth and Video Segmentation Based Visual Attention for Embodied Question Answering
6. Pedestrian Attribute Recognition with Occlusion in Low Resolution Surveillance Scenarios
7. Robust learning from noisy web data for fine-Grained recognition
8. Statistical Guaranted Noisy Tensor Recovery by Fusing Low-Rankness on All Orientations in Frequency-Original Domains
9. Orientation Invariant Tensor Completion In Both Spectual And Space Domains
10. Semi‐Paired Semi‐Supervised Deep Hashing for cross‐view retrieval
11. A Novel Multi-Sample Data Augmentation Method for Oriented Object Detection in Remote Sensing Images
12. Idology and Its Applications in Public Security and Network Security
13. Dynamic Re-Weighting and Cross-Camera Learning for Unsupervised Person Re-Identification
14. Dense Semantics-Assisted Networks for Video Action Recognition
15. Robust Principal Component Analysis Based Speaker Verification Under Additive Noise Conditions
16. Deep Convex NMF for Image Clustering
17. A Semi-supervised Learning Algorithm Based on Low Rank and Weighted Sparse Graph for Face Recognition
18. Extracting Visual Knowledge from the Internet: Making Sense of Image Data
19. Single-Sample Face Recognition Based on Shared Generative Adversarial Network
20. Semantically Meaningful Class Prototype Learning for One-Shot Image Segmentation
21. Guided by Meta-Set: A Data-Driven Method for Fine-Grained Visual Recognition
22. Enhanced Feature Alignment for Unsupervised Domain Adaptation of Semantic Segmentation
23. Co-LDL: A Co-Training-Based Label Distribution Learning Method for Tackling Label Noise
24. Exploiting Web Images for Fine-Grained Visual Recognition by Eliminating Open-Set Noise and Utilizing Hard Examples
25. Co-Mining: Mining Informative Samples with Noisy Labels
26. Exploiting Web Images for Fine-Grained Visual Recognition via Dynamic Loss Correction and Global Sample Selection
27. Robust Learning From Noisy Web Images Via Data Purification for Fine-Grained Recognition
28. Local Self-Attention on Fine-grained Cross-media Retrieval
29. Local Similarity Based Linear Discriminant Analysis for Face Recognition with Single Sample per Person
30. Extracting Useful Knowledge from Noisy Web Images via Data Purification for Fine-Grained Recognition
31. Information-theoretic measures of uncertainty for interval-set decision tables
32. Robust gait recognition using hybrid descriptors based on Skeleton Gait Energy Image
33. Jo-SRC: A Contrastive Approach for Combating Noisy Labels
34. Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation
35. Supervised Kernel Self-Organizing Map
36. Real-Time Head Pose Estimation by RGB-D Camera
37. Exploiting textual queries for dynamically visual disambiguation
38. Multi-View Label Prediction for Unsupervised Learning Person Re-Identification
39. Generative Adversarial and Self-Attention Based Fine-Grained Cross-Media Retrieval
40. A Variable Muitlgranulation Rough Sets Approach
41. Data-driven Meta-set Based Fine-Grained Visual Recognition
42. Feature mask network for person re-identification
43. Web-Supervised Network for Fine-Grained Visual Classification
44. Classification Constrained Discriminator For Domain Adaptive Semantic Segmentation
45. Web-Supervised Network with Softly Update-Drop Training for Fine-Grained Visual Classification
46. True-Color and Grayscale Video Person Re-Identification
47. Exploiting Category Similarity-Based Distributed Labeling for Fine-Grained Visual Classification
48. Semi-Paired Asymmetric Deep Cross-Modal Hashing Learning
49. Uniform Generic Representation for Single Sample Face Recognition
50. Feature Affinity-Based Pseudo Labeling for Semi-Supervised Person Re-Identification
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