Chris
Tegho



Chris is a machine learning engineer with a focus on computer vision, language modeling, and generative models, and is interested in the intersection of art and machine learning, with a focus on multiplicity, relations to others, queerness, and movement.


Recent artistic collaborations include work with artist Zach Blas on Cultus, an installation commissioned by Arebyte Gallery and Secession, and developing a few-shot gas canister detector for Forensic Architecture.


Chris executed challenging tasks throughout entire pipelines, from dealing with small amounts of data (as little as 10 training data points) all the way to deploying ML models that serve thousands of requests per second.


Chris completed a Master's in Machine Learning at the University of Cambridge in August 2017.


research interests
video language models — few shot learning — generative models — Bayesian modeling — computer vision: video understanding, video generation, object and movement detection


other interests
contemporary dance — internal family systems psychotherapy —compassion therapy

contributions

2023 

CULTUS with Zach Blas — commissioned by Arebyte Gallery, London, UK, and Secession, Vienna, Austria
— text generation
Read more︎  

Profundior with Zach Blas — commissioned by Berlin Biennale for Contemporary Art, exhibited at Hamburger Bahnhof
— diffusion video generation
— text generation
Read more︎

2022

576 Tears with Zach Blas — commissioned by UP Projects for “This is Public Space” series
— live GANs video generation
— live sentiment camera based detection
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2021

Triple Chaser, with Forensic Architecture —exhibited at Uncanny Valley: Being human in the age of AI, at the de Young Museum in San Fransisco
research work in collaboration with Forensic Architecture.
developped a few shot detector for detecting tear-gas canisters in videos, for assisting human rights investigations.
— object detection 
— video understanding
Read more︎


Machines of Loving Grace, with DJ and producer Sonikku music video for single release Lifestyle with Boilerroom TV
— audio reactive StyleGANs video generation
Read more︎


2020

The Doors with Zach Blas — commissioned by Edith-Russ-Haus für Medienkunst, Oldenburg, de Young Museum, San Fransisco, and Van Abbemuseum, Eidhoven
— GANs video generation
— text generation
Read more︎

2019

MELTS INTO LOVE with Xin — album cover
— neural style transfer


CAD Conspiracy: Pattern Recognition in Contemporary Art with Mahan Moalemi and Bahar Noorizadeh — commissioned by the Mosaic Rooms, London
— GANs image generation


publications

  1. D’Cruz, A., Tegho, C., Greaves, S., & Kermode L. (2022). Detecting Tear Gas Canisters With Limited Training Data. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 
    equal contribution

  2. Tegho, C., Budzianowski, P., & Gašić, M. (2018). Benchmarking Uncertainty Estimates With Deep Reinforcement Learning for Dialogue Policy Optimisation. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP).

  3. Tegho, C., Budzianowski, P., & Gašić, M. (2017). Uncertainty Estimates for Efficient Neural Network-based Dialogue Policy Optimisation. Accepted at the Bayesian Deep Learning Workshop, 31st Conference on Neural Information Processing Systems (NeurIPS).

machine learning work

2022 - Present
Unitary, London, UK
— Develop and deploy multimodal machine learning models and pipelines for detecting harmful content in videos, images and text


2017 - 2022
Calipsa, London, UK
— Design, implement and evaluate models and software prototypes for object detection and motion detection in videos


Chris Tegho —

Mark

The Doors with Zach Blas 


                    Photo Credits: Zach Blas 

        Commissioned by Edith-Russ-Haus für Medienkunst, Oldenburg, de Young Museum, San Fransisco, and Van Abbemuseum, Eidhoven                         The Doors is a multimedia installation exploring psychedelia, drug use, and artificial intelligence, set within a mystical artificial garden featuring six channels of video comprised of computer graphics sequences and psychedelic machine learning-generated imagery.

The installation envisions a psychedelic trip on nootropics, featuring spoken word poetry generated by AI, trained on corporate nootropics literature and Jim Morrison's writing and voice, with CGI lizards roaming across black mirror screens, and an artificial grass sigil inspired by sacred geometry.

The Doors proposes AI as generative of a new psychedelic experience for the nootropics age, evoking a 1960s liquid light show and provoking hallucinations of how to see and control the future, optimize the brain for labor, and live forever.

Contributions:
I generated 36 differently themed videos with GANs trained on image datasets of psychedelic rock posters, LSD blotter art, brains, glass architecture, sacred geometry, broken glass, and lizard skin. I also
generated 6 poems using a GPT-2 model trained on corporate nootropics literature and Morrison’s writing.



Mark