Hoai, D.L.[Duy Le]
Co Author Listing * Attention-based Method for Multi-label Facial Action Unit Detection, An
Hoai, M.[Minh]
Co Author Listing * A+D Net: Training a Shadow Detector with Adversarial Shadow Attenuation
* Action Recognition From Weak Alignment of Body Parts
* Active Vision for Early Recognition of Human Actions
* Adaptive Streaming of 360-Degree Videos with Reinforcement Learning
* Back to the beginning: Starting point detection for early recognition of ongoing human actions
* Blur2Blur: Blur Conversion for Unsupervised Image Deblurring on Unknown Domains
* Characterizing Target-absent Human Attention
* Class-Agnostic Repetitive Action Counting Using Wearable Devices
* Dictionary-guided Scene Text Recognition
* Diffusion-refined Vqa Annotations for Semi-supervised Gaze Following
* Discriminative Sub-categorization
* Error Detection in Egocentric Procedural Task Videos
* Explore Image Deblurring via Encoded Blur Kernel Space
* Few-Shot Object Counting and Detection
* Few-shot Personalized Scanpath Prediction
* Forward Propagation, Backward Regression, and Pose Association for Hand Tracking in the Wild
* From Within to Between: Knowledge Distillation for Cross Modality Retrieval
* Gazeformer: Scalable, Effective and Fast Prediction of Goal-Directed Human Attention
* GIF2Video: Color Dequantization and Temporal Interpolation of GIF Images
* Good View Hunting: Learning Photo Composition from Dense View Pairs
* HanDiffuser: Text-to-Image Generation with Realistic Hand Appearances
* HOIST-Former: Hand-Held Objects Identification, Segmentation, and Tracking in the Wild
* HyperCUT: Video Sequence from a Single Blurry Image using Unsupervised Ordering
* Improving Human Action Recognition by Non-action Classification
* Improving Human Action Recognition Using Score Distribution and Ranking
* Interactive Class-Agnostic Object Counting
* Iterative Crowd Counting
* Joint segmentation and classification of human actions in video
* Knowledge Distillation for Human Action Anticipation
* Large Scale Shadow Annotation and Detection Using Lazy Annotation and Stacked CNNs
* Large-Scale Training of Shadow Detectors with Noisily-Annotated Shadow Examples
* Latent Bi-Constraint SVM for Video-Based Object Recognition
* Learning discriminative localization from weakly labeled data
* Learning To Count Everything
* Learning Visual Emotion Representations From Web Data
* Leave-One-Out Kernel Optimization for Shadow Detection
* Leave-One-Out Kernel Optimization for Shadow Detection and Removal
* Lipstick ain't enough: Beyond Color Matching for In-the-Wild Makeup Transfer
* Look Hear: Gaze Prediction for Speech-directed Human Attention
* Max-Margin Early Event Detectors
* Noisy Label Recovery for Shadow Detection in Unfamiliar Domains
* Object Detection with Self-Supervised Scene Adaptation
* Patch-level Gaze Distribution Prediction for Gaze Following
* Predicting Body Movement and Recognizing Actions: An Integrated Framework for Mutual Benefits
* Predicting Goal-Directed Human Attention Using Inverse Reinforcement Learning
* Progressive Knowledge Distillation for Early Action Recognition
* Progressive Semantic Segmentation
* Pulling Actions out of Context: Explicit Separation for Effective Combination
* Recognizing cultural events in images: A study of image categorization models
* Region Ranking SVM for Image Classification
* Regularized Max Pooling for Image Categorization
* Self-supervised Learning with Multi-view Rendering for 3d Point Cloud Analysis
* Sequence-to-Segments Networks for Detecting Segments in Videos
* Shadow Detection with Conditional Generative Adversarial Networks
* Supervoxel Attention Graphs for Long-Range Video Modeling
* Talking Heads: Detecting Humans and Recognizing Their Interactions
* Target-Absent Human Attention
* Thread-Safe: Towards Recognizing Human Actions Across Shot Boundaries
* Toward Realistic Single-View 3D Object Reconstruction with Unsupervised Learning from Multiple Images
* Uncertainty Estimation and Sample Selection for Crowd Counting
* Unifying Top-Down and Bottom-Up Scanpath Prediction Using Transformers
* Vicinal Counting Networks
* Whose Hands are These? Hand Detection and Hand-Body Association in the Wild
* X-Ray Scattering Image Classification Using Deep Learning
Includes: Hoai, M.[Minh] Hoai, M.
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