Thanh-Toan Do

17

Papers

17

Total Citations

Papers (17)

Learning to Complement and to Defer to Multiple Users

Probabilistic Learning to Defer: Handling Missing Expert Annotations and Controlling Workload Distribution

Instance-dependent Noisy-label Learning with Graphical Model Based Noise-rate Estimation

Sharpness-Aware Data Generation for Zero-shot Quantization

FAemb: A Function Approximation-Based Embedding Method for Image Retrieval

Simultaneous Feature Aggregating and Hashing for Large-Scale Image Search

SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration Without Correspondences

A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning

Compact Trilinear Interaction for Visual Question Answering

Scalable Place Recognition Under Appearance Change for Autonomous Driving

Preserving Clusters in Prompt Learning for Unsupervised Domain Adaptation

Enhancing Dataset Distillation via Non-Critical Region Refinement

MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation

Optimal Transport Model Distributional Robustness

Flat Seeking Bayesian Neural Networks

Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning

Bayesian Generative Active Deep Learning