Hung-Ting Su
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Google, National Taiwan University, Robotics Research (United States)as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0009-0007-5212-0927
- OpenAlex ID
- A5034130957as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 9
Class-agnostic Few-shot Object Counting,
DECCNet: Depth Enhanced Crowd Counting,
Dual-Awareness Attention for Few-Shot Object Detection,
Learning from 2D: Pixel-to-Point Knowledge Transfer for 3D Pretraining.,
MonoDTR: Monocular 3D Object Detection with Depth-Aware Transformer,
OCID-Ref: A 3D Robotic Dataset With Embodied Language For Clutter Scene Grounding,
ReDAL: Region-based and Diversity-aware Active Learning for Point Cloud Semantic Segmentation,
S<sup>3</sup>: Learnable Sparse Signal Superdensity for Guided Depth Estimation
+1 more
← Authored by 9
Class-agnostic Few-shot Object Counting,
DECCNet: Depth Enhanced Crowd Counting,
Dual-Awareness Attention for Few-Shot Object Detection,
Learning from 2D: Pixel-to-Point Knowledge Transfer for 3D Pretraining.,
MonoDTR: Monocular 3D Object Detection with Depth-Aware Transformer,
OCID-Ref: A 3D Robotic Dataset With Embodied Language For Clutter Scene Grounding,
ReDAL: Region-based and Diversity-aware Active Learning for Point Cloud Semantic Segmentation,
S<sup>3</sup>: Learnable Sparse Signal Superdensity for Guided Depth Estimation
+1 more
Affiliated with 1
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Summary
Hung-Ting Su is a human[1].