How much Bulgarian is the so called Bulgarian institute INSAIT? Part I

The so called "Bulgarian" international Swiss-Bulgarian-World Institute for AI and computer science INSAIT, which "strategically" was in many ways a cynical rip-off and a steal of my project published in 2003 :))), with arrogant and ridiculous claims for being "innovative", "visionary" or original, LOL (however "hyperscaled" in its financial demands and expenses), are promoting their success at CVPR 2026 and their role for "Bulgaria": 17 publications + 3 other participations, 20 total. They are among the greatest in the world. [See more in the book "The First modern AI strategy .." (Първата съвременна стратегия за развитие чрез изкуствен интелект ..." and "AI Institutes ... " (Институти и стратегии за изкуствен интелект на световно ниво ...) from the hyperbook "The Prophets of the Thinking Machines..." from SIGI-2025)

Right, they are among the leading institutes in their and in this game, however are they BULGARIAN as they so aggressively emphasize and claim on every occasion?  (Maybe that is why they do.)

Asking the free ChatGPT (no login) with an excerpt from the list of publications: ... 


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QUESTION:  How many papers? How many of them include Bulgarian or Slavic names? 
[see the full text below the answers]

ANSWER: There are 18 papers listed.

Papers that appear to include Bulgarian or other Slavic names (based on author names alone) are approximately:

1. ConceptPose: Training-Free Zero-Shot Object Pose Estimation using Concept Vectors
   – includes Dani Velikova (likely Bulgarian/Slavic surname)
2. SPEAR-1: Scaling Beyond Robot Demonstrations via 3D Understanding
   – includes Nikolay Nikolov and Aleksandar Yanev (clearly Bulgarian names)
3. FireScope: Wildfire Risk Raster Prediction With a Chain-of-Thought Oracle
   – includes Mario Markov (Bulgarian/Slavic surname)

So the count is:

• 18 total papers
• About 3 papers with clearly Bulgarian/Slavic author names

If you want, I can also break it down into:

• specifically Bulgarian names,
• broader South Slavic / East Slavic / West Slavic names,
• or estimate the nationality distribution of all authors.
  
  
  
  

QUESTION: Estimate the nationality distribution of all authors.

This can only be a rough estimate from names and affiliations conventions, not an actual nationality census. Many researchers work internationally, have multicultural backgrounds, or use romanized names that overlap across regions.

That said, from the author lists, the distribution appears heavily concentrated in Chinese researchers, with a secondary cluster from European institutions (especially Swiss/Western European labs connected to ETH Zurich / KU Leuven style collaborations around Luc Van Gool and Danda Pani Paudel).

Approximate estimate across all listed authors:

Estimated background/nationality cluster	Approx. share	Notes
Chinese	~70–75%	Dominant throughout nearly every paper
South Asian / Nepali / Indian	~5–8%	Mainly from names like Danda Pani Paudel, Mohammad Mahdi
Western/Central European	~8–10%	Swiss, Germanic, Dutch, Belgian, etc.
Balkan / Slavic (incl. Bulgarian)	~4–6%	Nikolov, Yanev, Markov, Velikova
Spanish / Catalan / Latin European	~3–5%	Vazquez-Corral, Serrano-Lozano, Rocafort
Korean	~1–2%	Kailun Yang is Chinese despite surname “Yang”; not many obvious Korean names
Japanese	~0–1%	Essentially none obvious
Middle Eastern / Turkish	~1–2%	Ahmet Berke Gokmen
Other / unclear	remainder	Mixed international researchers

A more concrete estimate by author count:

• Total unique authors listed: roughly 90–100
• Estimated:
  • Chinese-origin names: ~70
  • European-origin names: ~12–15
  • South Asian-origin names: ~5–7
  • Bulgarian/Slavic names: ~4–6
  • Spanish-origin names: ~3–4
  • Turkish-origin names: ~1–2

The most internationally connected recurring senior collaborators are:

• Luc Van Gool
• Danda Pani Paudel
• Kailun Yang
• Jinjin Gu

The overall pattern is very typical of modern CVPR:

• strong Chinese participation,
• Swiss/European lab hubs,
• globally mixed PhD/postdoc collaborations,
• and increasing cross-institution research teams

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The Content of First Prompt:

* Yuanfan Zheng, Kunyu Peng, Xu Zheng, Kailun Yang

Seeing Beyond: Extrapolative Domain Adaptive Panoramic Segmentation

In: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2026)

Paper

Xiaolong Qian, Qi Jiang, Lei Sun,  Zongxi Yu, Kailun Yang, Peixuan Wu, Jiacheng Zhou, Yao Gao,  Yaoguang Ma, Ming-Hsuan Yang, Kaiwei Wang

Learning Latent Transmission and Glare Maps for Lens Veiling Glare Removal

In: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2026)

Paper

Shaolin Su, Josep M. Rocafort, David Serrano-Lozano, Lei Sun, Danna Xue, Javier Vazquez-Corral

Bridging the Perception Gap in Image Super-Resolution Evaluation

In: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2026)

 

Paper

Jiaqi Tan, Xu Zheng, Yang Liu

RMMSS: Towards Advanced Robust Multi-Modal Semantic Segmentation with Hybrid Prototype Distillation and Feature Selection

In: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2026)

Paper

Haoyu Chen, Keda Tao, Yizao Wang, Xinlei Wang, Lei Zhu, Jinjin Gu

Intelligent Photo Retouching with Language Model-Based Artist Agents

In: The Findings track of IEEE/CVF Conference on Computer Vision and Pattern Recognition 2026 (CVPR 2026 Findings)

Paper

Xiaoye Wang, Chen Tang, Xiangyu Yue, Wei-Hong Li

3D-Aware Multi-Task Learning with Cross-View Correlations for Dense Scene Understanding

In: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2026)

Paper

Zhiyuan You, Ke Wang, He Zhang, Xin Cai, Jinjin Gu, Tianfan Xue, Chao Dong, Zhoutong Zhang

PhotoFramer: Multi-modal Image Composition Instruction

In: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2026)

Paper

Xiang Yin, Jinfan Hu, Zhiyuan You, Kainan Yan, Yu Tang, Chao Dong, Jinjin Gu

How Far Have We Gone in Generative Image Restoration? A Study on Its Capability, Limitations and Evaluation Practices

In: The Findings track of IEEE/CVF Conference on Computer Vision and Pattern Recognition 2026 (CVPR 2026 Findings)

Paper

Zihao Dongfang, Xu Zheng, Ziqiao Weng, Yuanhuiyi Lyu, Danda Pani Paudel, Luc Van Gool, Kailun Yang, Xuming Hu

Are Multimodal Large Language Models Ready for Omnidirectional Spatial Reasoning?

In: The Findings track of IEEE/CVF Conference on Computer Vision and Pattern Recognition 2026 (CVPR 2026 Findings)

Paper

Bingwen Zhu, Bingwen_Zhu, Yuqian Fu, Qiaole Dong, Guolei Sun, Tianwen Qian, Yuzheng Wu, Danda Pani Paudel, Yanwei Fu, Xiangyang Xue

EgoSound: Benchmarking Sound Understanding in Egocentric Videos

In: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2026)

Paper

Liming Kuang, Dani Velikova, Mahdi Saleh, Jan-Nico Zaech, Danda Pani Paudel, Benjamin Busam

ConceptPose: Training-Free Zero-Shot Object Pose Estimation using Concept Vectors

In: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2026)

Paper

Ahmet Berke Gokmen, Ajad Chhatkuli, Luc Van Gool, Danda Pani Paudel

Inferring Compositional 4D Scenes without Ever Seeing One

In: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2026)

Paper

Website

Code

Nikolay Nikolov, Giuliano Albanese, Sombit Dey, Aleksandar Yanev, Luc Van Gool, Jan-Nico Zaech, Danda Pani Paudel

SPEAR-1: Scaling Beyond Robot Demonstrations via 3D Understanding

In: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2026)

Paper

Website

Jiancheng Pan, Runze Wang, Tianwen Qian, Mohammad Mahdi, Yanwei Fu, Xiangyang Xue, Xiaomeng Huang, Luc Van Gool, Danda Pani Paudel, Yuqian Fu

V^{2}-SAM: Marrying SAM2 with Multi-Prompt Experts for Cross-View Object Correspondence

In: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2026)

Paper

Yuheng Zhang, Mengfei Duan, Kunyu Peng, Yuhang Wang, Ruiping Liu, Fei Teng, Kai Luo, Zhiyong Li, Kailun Yang

ProOOD: Prototype-Guided Out-of-Distribution 3D Occupancy Prediction

In: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2026)

Paper

Xiaolong Qian,  Qi Jiang, Yao Gao,  Lei Sun, Zhonghua Yi, Kailun Yang, Luc Van Gool, Kaiwei Wang

Towards Universal Computational Aberration Correction in Photographic Cameras: A Comprehensive Benchmark Analysis

In: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2026)

Paper

Mario Markov, Stefan Maria Ailuro, Luc Van Gool, Konrad Schindler, Danda Pani Paudel

FireScope: Wildfire Risk Raster Prediction With a Chain-of-Thought Oracle

In: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2026)

Paper

Yue Li, Qi Ma, Runyi Yang, Mengjiao Ma, Bin Ren, Nikola Popovic, Nicu Sebe, Theo Gevers, Luc Van Gool, Danda Pani Paudel, Martin R. Oswald

Chorus: Multi-Teacher Pretraining for Holistic 3D Gaussian Scene Encoding

In: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2026)