José M. Alvarez
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Nvidiaas 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
- 0000-0002-7535-6322
- OpenAlex ID
- A5101540588, A5142811824as 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
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 41
3-D LiDAR + Monocular Camera: An Inverse-Depth-Induced Fusion Framework for Urban Road Detection,
A cluster-based approach for visualizing and categorizing the impacts of shale barrier configurations on SAGD production,
A Cluster-Based Approach for Visualizing and Quantifying the Uncertainty in the Impacts of Uncertain Shale Barrier Configurations on SAGD Production,
An Illumination-Invariant Nonparametric Model for Urban Road Detection,
A-ViT: Adaptive Tokens for Efficient Vision Transformer,
Bridging the Day and Night Domain Gap for Semantic Segmentation,
Compression-aware Training of Deep Networks,
Context Based Emotion Recognition using EMOTIC Dataset
+33 more
← Authored by 41
3-D LiDAR + Monocular Camera: An Inverse-Depth-Induced Fusion Framework for Urban Road Detection,
A cluster-based approach for visualizing and categorizing the impacts of shale barrier configurations on SAGD production,
A Cluster-Based Approach for Visualizing and Quantifying the Uncertainty in the Impacts of Uncertain Shale Barrier Configurations on SAGD Production,
An Illumination-Invariant Nonparametric Model for Urban Road Detection,
A-ViT: Adaptive Tokens for Efficient Vision Transformer,
Bridging the Day and Night Domain Gap for Semantic Segmentation,
Compression-aware Training of Deep Networks,
Context Based Emotion Recognition using EMOTIC Dataset
+33 more
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Summary
José M. Alvarez is a human[1].