214 results on '"Alexander Wong"'
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2. MetaFood CVPR 2024 Challenge on Physically Informed 3D Food Reconstruction: Methods and Results.
3. Optimizing Synthetic Correlated Diffusion Imaging for Breast Cancer Tumour Delineation.
4. Using Multiparametric MRI with Optimized Synthetic Correlated Diffusion Imaging to Enhance Breast Cancer Pathologic Complete Response Prediction.
5. NutritionVerse-Direct: Exploring Deep Neural Networks for Multitask Nutrition Prediction from Food Images.
6. How Much You Ate? Food Portion Estimation on Spoons.
7. NutritionVerse-Real: An Open Access Manually Collected 2D Food Scene Dataset for Dietary Intake Estimation.
8. Enhancing Clinically Significant Prostate Cancer Prediction in T2-weighted Images through Transfer Learning from Breast Cancer.
9. Intra-video Positive Pairs in Self-Supervised Learning for Ultrasound.
10. Step length measurement in the wild using FMCW radar.
11. Domain-Guided Masked Autoencoders for Unique Player Identification.
12. Robust Analysis of Multi-Task Learning on a Complex Vision System.
13. Improving Breast Cancer Grade Prediction with Multiparametric MRI Created Using Optimized Synthetic Correlated Diffusion Imaging.
14. In The Wild Ellipse Parameter Estimation for Circular Dining Plates and Bowls.
15. Understanding the Limitations of Diffusion Concept Algebra Through Food.
16. Empowering Tuberculosis Screening with Explainable Self-Supervised Deep Neural Networks.
17. Double-Condensing Attention Condenser: Leveraging Attention in Deep Learning to Detect Skin Cancer from Skin Lesion Images.
18. On Calibration of Modern Quantized Efficient Neural Networks.
19. DeepfakeArt Challenge: A Benchmark Dataset for Generative AI Art Forgery and Data Poisoning Detection.
20. Explaining Explainability: Towards Deeper Actionable Insights into Deep Learning through Second-order Explainability.
21. Fast GraspNeXt: A Fast Self-Attention Neural Network Architecture for Multi-task Learning in Computer Vision Tasks for Robotic Grasping on the Edge.
22. NutritionVerse-Thin: An Optimized Strategy for Enabling Improved Rendering of 3D Thin Food Models.
23. A Survey of the Impact of Self-Supervised Pretraining for Diagnostic Tasks with Radiological Images.
24. COVIDx CXR-4: An Expanded Multi-Institutional Open-Source Benchmark Dataset for Chest X-ray Image-Based Computer-Aided COVID-19 Diagnostics.
25. Recurrence With Correlation Network for Medical Image Registration.
26. Cancer-Net PCa-Gen: Synthesis of Realistic Prostate Diffusion Weighted Imaging Data via Anatomic-Conditional Controlled Latent Diffusion.
27. NutritionVerse-3D: A 3D Food Model Dataset for Nutritional Intake Estimation.
28. TurboViT: Generating Fast Vision Transformers via Generative Architecture Search.
29. NAS-NeRF: Generative Neural Architecture Search for Neural Radiance Fields.
30. Cancer-Net BCa-S: Breast Cancer Grade Prediction using Volumetric Deep Radiomic Features from Synthetic Correlated Diffusion Imaging.
31. DVQI: A Multi-task, Hardware-integrated Artificial Intelligence System for Automated Visual Inspection in Electronics Manufacturing.
32. NutritionVerse: Empirical Study of Various Dietary Intake Estimation Approaches.
33. A Multi-Institutional Open-Source Benchmark Dataset for Breast Cancer Clinical Decision Support using Synthetic Correlated Diffusion Imaging Data.
34. Self-Supervised Pretraining Improves Performance and Inference Efficiency in Multiple Lung Ultrasound Interpretation Tasks.
35. GoalieNet: A Multi-Stage Network for Joint Goalie, Equipment, and Net Pose Estimation in Ice Hockey.
36. Cancer-Net PCa-Data: An Open-Source Benchmark Dataset for Prostate Cancer Clinical Decision Support using Synthetic Correlated Diffusion Imaging Data.
37. Systematic Architectural Design of Scale Transformed Attention Condenser DNNs via Multi-Scale Class Representational Response Similarity Analysis.
38. GHN-QAT: Training Graph Hypernetworks to Predict Quantization-Robust Parameters of Unseen Limited Precision Neural Networks.
39. DARLEI: Deep Accelerated Reinforcement Learning with Evolutionary Intelligence.
40. NutritionVerse-Synth: An Open Access Synthetically Generated 2D Food Scene Dataset for Dietary Intake Estimation.
41. FoodFusion: A Latent Diffusion Model for Realistic Food Image Generation.
42. COVID-Net USPro: An Open-Source Explainable Few-Shot Deep Prototypical Network to Monitor and Detect COVID-19 Infection from Point-of-Care Ultrasound Images.
43. PCBDet: An Efficient Deep Neural Network Object Detection Architecture for Automatic PCB Component Detection on the Edge.
44. Exploring the Utility of Self-Supervised Pretraining Strategies for the Detection of Absent Lung Sliding in M-Mode Lung Ultrasound.
45. ShapeShift: Superquadric-based Object Pose Estimation for Robotic Grasping.
46. Transferring Knowledge for Food Image Segmentation using Transformers and Convolutions.
47. COVID-Net Biochem: An Explainability-driven Framework to Building Machine Learning Models for Predicting Survival and Kidney Injury of COVID-19 Patients from Clinical and Biochemistry Data.
48. A Fair Loss Function for Network Pruning.
49. MAPLE-X: Latency Prediction with Explicit Microprocessor Prior Knowledge.
50. LightDefectNet: A Highly Compact Deep Anti-Aliased Attention Condenser Neural Network Architecture for Light Guide Plate Surface Defect Detection.
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