# De-An Huang

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/de-an-huang/

## Facts

| Field | Value |
| --- | --- |
| Citations | 4,108 |
| Field | Multimodal Machine Learning Applications |
| h-index | 30 |
| i10-index | 55 |
| Last Known Institution | Sanofi (United States) |
| OpenAlex ID | https://openalex.org/A5052829033 |
| ORCID iD | 0000-0002-6945-7768 |
| Works | 130 |

## Researcher papers

- [Dynamic Task Prioritization for Multitask Learning](https://scholariq.org/papers/dynamic-task-prioritization-for-multitask-learning/)
- [Spatio-Temporal Graph for Video Captioning With Knowledge Distillation](https://scholariq.org/papers/spatio-temporal-graph-for-video-captioning-with-knowledge-distillation/)
- [Self-Learning Based Image Decomposition With Applications to Single Image Denoising](https://scholariq.org/papers/self-learning-based-image-decomposition-with-applications-to-single-image/)
- [Connectionist Temporal Modeling for Weakly Supervised Action Labeling](https://scholariq.org/papers/connectionist-temporal-modeling-for-weakly-supervised-action-labeling/)
- [Unsupervised Learning of Long-Term Motion Dynamics for Videos](https://scholariq.org/papers/unsupervised-learning-of-long-term-motion-dynamics-for-videos/)
- [Coupled Dictionary and Feature Space Learning with Applications to Cross-Domain Image Synthesis and Recognition](https://scholariq.org/papers/coupled-dictionary-and-feature-space-learning-with-applications-to-cross-domain/)
- [D3TW: Discriminative Differentiable Dynamic Time Warping for Weakly Supervised Action Alignment and Segmentation](https://scholariq.org/papers/d3tw-discriminative-differentiable-dynamic-time-warping-for-weakly-supervised/)
- [Forecasting Interactive Dynamics of Pedestrians with Fictitious Play](https://scholariq.org/papers/forecasting-interactive-dynamics-of-pedestrians-with-fictitious-play/)
- [Learning to Decompose and Disentangle Representations for Video Prediction](https://scholariq.org/papers/learning-to-decompose-and-disentangle-representations-for-video-prediction/)
- [What Makes a Video a Video: Analyzing Temporal Information in Video Understanding Models and Datasets](https://scholariq.org/papers/what-makes-a-video-a-video-analyzing-temporal-information-in-video-understanding/)
- [Capturing fine-grained details for video-based automation of suturing skills assessment](https://scholariq.org/papers/capturing-fine-grained-details-for-video-based-automation-of-suturing-skills/)

## Researcher topics

- [Multimodal Machine Learning Applications](https://scholariq.org/topics/multimodal-machine-learning-applications/)
- [Human Pose and Action Recognition](https://scholariq.org/topics/human-pose-and-action-recognition/)
- [Video Analysis and Summarization](https://scholariq.org/topics/video-analysis-and-summarization/)
- [Domain Adaptation and Few-Shot Learning](https://scholariq.org/topics/domain-adaptation-and-few-shot-learning/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)

## Researcher university

- [Sanofi (United States)](https://scholariq.org/institutions/sanofi-united-states/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.