381 results on '"Michael S. Lew"'
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2. Multi-Scale Fusion of Gated Neighborhood Attention Transformers for Single Image Deraining.
3. Sketch-Based 3D Shape Retrieval With Multi-View Fusion Transformer.
4. Causal Inference-based Few-Shot Class-Incremental Learning.
5. Lifelong Visible-Infrared Person Re-Identification via a Tri-Token Transformer with a Query-Key Mechanism.
6. Multi-Domain Lifelong Visual Question Answering via Self-Critical Distillation.
7. FedVQA: Personalized Federated Visual Question Answering over Heterogeneous Scenes.
8. COCA: COllaborative CAusal Regularization for Audio-Visual Question Answering.
9. Lifelong Fine-Grained Image Retrieval.
10. Dual selective knowledge transfer for few-shot classification.
11. A Memorizing and Generalizing Framework for Lifelong Person Re-Identification.
12. Deep Learning for Instance Retrieval: A Survey.
13. Deep cross-modal hashing with multi-task latent space learning.
14. Core-attributes enhanced generative adversarial networks for robust image enhancement.
15. Modality Blur and Batch Alignment Learning for Twin Noisy Labels-based Visible-infrared Person Re-identification.
16. Meta Reconciliation Normalization for Lifelong Person Re-Identification.
17. VQA-BC: Robust Visual Question Answering Via Bidirectional Chaining.
18. Feature Estimations Based Correlation Distillation for Incremental Image Retrieval.
19. A Language Prior Based Focal Loss for Visual Question Answering.
20. Lifelong Person Re-Identification via Adaptive Knowledge Accumulation.
21. From Superficial to Deep: Language Bias driven Curriculum Learning for Visual Question Answering.
22. Transformation-consistent semi-supervised learning for prostate CT radiotherapy.
23. Comparison of deep learning and hand crafted features for mining simulation data.
24. Norm Loss: An efficient yet effective regularization method for deep neural networks.
25. Dual Gaussian-based Variational Subspace Disentanglement for Visible-Infrared Person Re-Identification.
26. Multi-stage hybrid embedding fusion network for visual question answering.
27. New Ideas and Trends in Deep Multimodal Content Understanding: A Review.
28. Few-shot and meta-learning methods for image understanding: a survey.
29. Domain Uncertainty Based On Information Theory for Cross-Modal Hash Retrieval.
30. A Comparison of CNN and Classic Features for Image Retrieval.
31. Learning a Domain-Invariant Embedding for Unsupervised Person Re-identification.
32. A survey of traditional and deep learning-based feature descriptors for high dimensional data in computer vision.
33. On the Exploration of Incremental Learning for Fine-grained Image Retrieval.
34. A Dual Prediction Network for Image Captioning.
35. An Extensive Study of Cycle-Consistent Generative Networks for Image-to-Image Translation.
36. Learning Fluid Flows.
37. SwapGAN: A Multistage Generative Approach for Person-to-Person Fashion Style Transfer.
38. CycleMatch: A cycle-consistent embedding network for image-text matching.
39. Deep Image Retrieval: A Survey.
40. Preprint: Norm Loss: An efficient yet effective regularization method for deep neural networks.
41. Integrating Information Theory and Adversarial Learning for Cross-modal Retrieval.
42. PREPRINT: Comparison of deep learning and hand crafted features for mining simulation data.
43. Learning a Recurrent Residual Fusion Network for Multimodal Matching.
44. Improving the discrimination between foreground and background for semantic segmentation.
45. What Convnets Make for Image Captioning?
46. On the Exploration of Convolutional Fusion Networks for Visual Recognition.
47. New Ideas and Trends in Deep Multimodal Content Understanding: A Review.
48. Fusion that matters: convolutional fusion networks for visual recognition.
49. CNN-RNN: a large-scale hierarchical image classification framework.
50. Bag of Surrogate Parts Feature for Visual Recognition.
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