Co-Founder at @SignapseAI, PhD Student at @CogVis, CVSSP, researching Sign Language Production supervised by Richard Bowden and @ncihancamgoz

Guildford, England
Joined April 2019
🥳🥳 Happy to announce our paper "Signing at Scale: Learning to Co-Articulate Signs for Large-Scale Photo-Realistic Sign Language Production" has been accepted at #CVPR2022 #CVPR Work done with @ncihancamgoz and Rich Bowden @CogVis. Paper details to follow.
We have successfully wrapped up the #CVPR2022 decision process with the tremendous effort of our reviewers and area chairs. The list of paper IDs of accepted papers are here: drive.google.com/file/d/15JF… The final reviews and meta reviews will be released in the next day or two. 1/2
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Ben Saunders retweeted
One more month to participate in these #ECCV2022 challenges ⏳We are looking forward to numbers better than the baselines!
We are very excited to announce the SLRTP workshop #ECCV2022 @eccvconf Challenge is open and accepting submissions. Join us to push the boundaries on 3 sign language understanding tasks: sign recognition, subtitle alignment and sign spotting! slrtp-2022.github.io/
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We are very excited to announce the SLRTP workshop #ECCV2022 @eccvconf Challenge is open and accepting submissions. Join us to push the boundaries on 3 sign language understanding tasks: sign recognition, subtitle alignment and sign spotting! slrtp-2022.github.io/
Major update regarding the WMT shared task on sign language translation: after considerable delay (for which I am very sorry) our training data and baseline code are now available. 🎉 wmt-slt.com
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My paper "Skeletal Graph Self-Attention: Embedding a Skeleton Inductive Bias into Sign Language Production" was accepted to the "Sign Language Translation and Avatar Technology" workshop at @lrec2022 🥳 Pre-print available at arxiv.org/abs/2112.05277, find out more at #SLTAT22
🎉 Pleased to announce we had 2 papers accepted to the #SLTAT22 workshop on "Sign Language Translation and Avatar Technology" at @lrec2022 sltat.cs.depaul.edu/2022/inf…🎉 Congrats to all co-authors: Harry Walsh, @BenMSaunders, @ncihancamgoz and Richard Bowden. Paper details to follow.
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The preprint of our CVPR22 paper "Signing at Scale: Learning to Co-Articulate Signs for Large-Scale Photo-Realistic Sign Language Production" is now available on ArXiv!
Signing at Scale: Learning to Co-Articulate Signs for Large-Scale Photo-Realistic Sign Language Production deepai.org/publication/signi… by @BenMSaunders et al. including @ncihancamgoz #DeepLearning #LossFunction
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Opportunities open to join my lab at CVSSP studying a PhD in Sign Language Translation/Production! Let me know if you have any questions about what a PhD here entails😀
Come join us! 🎉 We have 2 PhD studentships available researching Sign Language Production (surrey.ac.uk/fees-and-fundin…) and Sign Language Translation (surrey.ac.uk/fees-and-fundin…) 👋 If interested, send your CV and covering letter to Prof. Richard Bowden at r.bowden@surrey.ac.uk 📜🗞️
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Ben Saunders retweeted
Skeletal Graph Self-Attention: Embedding a Skeleton Inductive Bias into Sign Language Production deepai.org/publication/skele… by @BenMSaunders et al. including @ncihancamgoz #NeuralMachineTranslation #Vector
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Our paper "Skeletal Graph Self-Attention: Embedding a Skeleton Inductive Bias into Sign Language Production" is available at arxiv.org/pdf/2112.05277.pdf. We represent sign language sequences in a skeletal graph structure and propose a novel Skeletal Graph Self-Attention layer for SLP
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If you're at @ICCV_2021, check out our paper "Mixed SIGNals: Sign Language Production via a Mixture of Motion Primitives" - Session 2A & 2B Q&A sessions on Tue 12th 11am GMT and Thur 14th 6pm GMT Video available at youtu.be/PYRT6f5ZIGQ
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Our paper "Mixed SIGNals: Sign Language Production via a Mixture of Motion Primitives" was accepted at #ICCV21 ☺️☺️ The title puns are getting better!
[DECISIONS] List of accepted papers is now publicly available at: docs.google.com/spreadsheets… 1617 papers accepted - 25.9% acceptance rate. Nothing yet on CMT... hang on for meta-reviews soon.
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The preprint of our #ICCV2021 paper "Mixed SIGNals: Sign Language Production via a Mixture of Motion Primitives" is now available at arxiv.org/pdf/2107.11317.pdf
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Ben Saunders retweeted
AnonySIGN: Novel Human Appearance Synthesis for Sign Language Video Anonymisation deepai.org/publication/anony… by @BenMSaunders et al. including @ncihancamgoz #Autoencoder #ComputerVision
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My paper "AnonySign: Novel Human Appearance Synthesis for Sign Language Video Anonymisation" has been accepted for publication at Face and Gesture 2021 ☺️☺️ Details to follow!
Pleased to announce we had 3 papers accepted for publication at Face and Gesture 2021 #FG2021 @IEEEFG2021 Congrats to all authors! 🎉🎉 @ncihancamgoz @BenMSaunders @TaoJiang9
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Style code traversal between two original appearances generates novel human appearances using ANONYSIGN.
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Style consistency over a pose sequence is achieved with our proposed style loss.
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