Kunhong Li
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Guangxi University, Sichuan Agricultural Universityas 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
- 0000-0002-5708-1812
- OpenAlex ID
- A5047532570, A5113843786as 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 13
A DTW distance-based seismic waveform clustering method for layers of varying thickness,
Adv-Depth: Self-Supervised Monocular Depth Estimation With an Adversarial Loss,
A Lightweight Detection Model for SAR Aircraft in a Complex Environment,
Conjunction of Active and Semi-Supervised Learning for Wireline Logs-Based Automatic Lithology Identification,
Decoupling Makes Weakly Supervised Local Feature Better,
Distortion-Aware Monocular Depth Estimation for Omnidirectional Images,
Horizon extraction using ordered clustering on a directed and colored graph,
LoS: Local Structure-Guided Stereo Matching
+5 more
← Authored by 13
A DTW distance-based seismic waveform clustering method for layers of varying thickness,
Adv-Depth: Self-Supervised Monocular Depth Estimation With an Adversarial Loss,
A Lightweight Detection Model for SAR Aircraft in a Complex Environment,
Conjunction of Active and Semi-Supervised Learning for Wireline Logs-Based Automatic Lithology Identification,
Decoupling Makes Weakly Supervised Local Feature Better,
Distortion-Aware Monocular Depth Estimation for Omnidirectional Images,
Horizon extraction using ordered clustering on a directed and colored graph,
LoS: Local Structure-Guided Stereo Matching
+5 more
Affiliated with 2
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Summary
Kunhong Li is a human[1].