Danush Kumar Venkatesh

About Me

I am a third-year PhD student at the National Center for Tumor Diseases (NCT) and School of Embedded Composite Aritificial Intelligence (SECAI) TU Dresden, Germany under the supervision of Prof. Stefanie Speidel .

My research centers on developing synthetic training data for biomedical applications, with a focus on image and video datasets using generative approaches like diffusion. Specifically, I concentrate on creating anatomically accurate structures and textures tailored for effective use in downstream applications. I am passionate about application-driven computer vision, aiming to bridge innovation with real-world impact in the biomedical field.

Research Interests

• Image synthesis: Anatomical organ generation, Shape & texture controlled synthesis
• Video generation: Temporal consistency, labeled data generation

News

• [Mar. 2025] I’m starting as a PhD Intern at Intuitive Surgical (US).
• [Nov. 2024] Our paper about anatomy aware diffusion is accepted to WACV 2025.
• [Aug. 2024] Our paper about image synthesis with diffusion is accepted to ECCVw 2024.
• [Jun. 2024] I won the Best Poster Award at EEML summer school.
• [Apr. 2024] I got accepted to EEML summer school organised by Google Deepmind.
• [Jan. 2024] Our paper on semantic consistent image generation is accepted to IPCAI 2024.
• [Jun. 2023] I will be attending the Generative Modeling Summer School (GeMSS).

Publications

Services

Conference Reviewers

• IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2025
• International Conference on Learning Representations (ICLR) 2025
• IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024

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