Hoai, D.L.[Duy Le]
* 2022: Attention-based Method for Multi-label Facial Action Unit Detection, An
Hoai, M.[Minh]
* 2011: Joint segmentation and classification of human actions in video
* 2012: Max-Margin Early Event Detectors
* 2013: Discriminative Sub-categorization
* 2014: Action Recognition From Weak Alignment of Body Parts
* 2014: Improving Human Action Recognition Using Score Distribution and Ranking
* 2014: Learning discriminative localization from weakly labeled data
* 2014: Max-Margin Early Event Detectors
* 2014: Regularized Max Pooling for Image Categorization
* 2014: Talking Heads: Detecting Humans and Recognizing Their Interactions
* 2014: Thread-Safe: Towards Recognizing Human Actions Across Shot Boundaries
* 2015: Leave-One-Out Kernel Optimization for Shadow Detection
* 2015: Recognizing cultural events in images: A study of image categorization models
* 2016: Improving Human Action Recognition by Non-action Classification
* 2016: Large-Scale Training of Shadow Detectors with Noisily-Annotated Shadow Examples
* 2016: Noisy Label Recovery for Shadow Detection in Unfamiliar Domains
* 2016: Region Ranking SVM for Image Classification
* 2017: Shadow Detection with Conditional Generative Adversarial Networks
* 2017: X-Ray Scattering Image Classification Using Deep Learning
* 2018: A+D Net: Training a Shadow Detector with Adversarial Shadow Attenuation
* 2018: Back to the beginning: Starting point detection for early recognition of ongoing human actions
* 2018: Good View Hunting: Learning Photo Composition from Dense View Pairs
* 2018: Iterative Crowd Counting
* 2018: Latent Bi-Constraint SVM for Video-Based Object Recognition
* 2018: Leave-One-Out Kernel Optimization for Shadow Detection and Removal
* 2018: Predicting Body Movement and Recognizing Actions: An Integrated Framework for Mutual Benefits
* 2018: Pulling Actions out of Context: Explicit Separation for Effective Combination
* 2019: GIF2Video: Color Dequantization and Temporal Interpolation of GIF Images
* 2020: Active Vision for Early Recognition of Human Actions
* 2020: Learning Visual Emotion Representations From Web Data
* 2020: Predicting Goal-Directed Human Attention Using Inverse Reinforcement Learning
* 2020: Uncertainty Estimation and Sample Selection for Crowd Counting
* 2021: Adaptive Streaming of 360-Degree Videos with Reinforcement Learning
* 2021: Dictionary-guided Scene Text Recognition
* 2021: Explore Image Deblurring via Encoded Blur Kernel Space
* 2021: Knowledge Distillation for Human Action Anticipation
* 2021: Large Scale Shadow Annotation and Detection Using Lazy Annotation and Stacked CNNs
* 2021: Learning To Count Everything
* 2021: Lipstick ain't enough: Beyond Color Matching for In-the-Wild Makeup Transfer
* 2021: Progressive Knowledge Distillation for Early Action Recognition
* 2021: Progressive Semantic Segmentation
* 2021: Sequence-to-Segments Networks for Detecting Segments in Videos
* 2021: Supervoxel Attention Graphs for Long-Range Video Modeling
* 2021: Toward Realistic Single-View 3D Object Reconstruction with Unsupervised Learning from Multiple Images
* 2022: Characterizing Target-absent Human Attention
* 2022: Few-Shot Object Counting and Detection
* 2022: Forward Propagation, Backward Regression, and Pose Association for Hand Tracking in the Wild
* 2022: From Within to Between: Knowledge Distillation for Cross Modality Retrieval
* 2022: Self-supervised Learning with Multi-view Rendering for 3d Point Cloud Analysis
* 2022: Target-Absent Human Attention
* 2022: Vicinal Counting Networks
* 2022: Whose Hands are These? Hand Detection and Hand-Body Association in the Wild
* 2023: Gazeformer: Scalable, Effective and Fast Prediction of Goal-Directed Human Attention
* 2023: HyperCUT: Video Sequence from a Single Blurry Image using Unsupervised Ordering
* 2023: Interactive Class-Agnostic Object Counting
* 2023: Object Detection with Self-Supervised Scene Adaptation
* 2023: Patch-level Gaze Distribution Prediction for Gaze Following
Includes: Hoai, M.[Minh] Hoai, M.
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