Necati Cihan Camgöz

Orcid: 0000-0002-6866-4482

Affiliations:
  • University of Surrey, Centre for Vision, Speech, and Signal Processing, Guildford, UK


According to our database1, Necati Cihan Camgöz authored at least 55 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Using an LLM to Turn Sign Spottings into Spoken Language Sentences.
CoRR, 2024

Towards Privacy-Aware Sign Language Translation at Scale.
CoRR, 2024

2023
A Free Lunch with Influence Functions? An Empirical Evaluation of Influence Functions for Average Treatment Effect Estimation.
Trans. Mach. Learn. Res., 2023

D'ya Like DAGs? A Survey on Structure Learning and Causal Discovery.
ACM Comput. Surv., 2023


Is context all you need? Scaling Neural Sign Language Translation to Large Domains of Discourse.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learnt Contrastive Concept Embeddings for Sign Recognition.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Data-Free Class-Incremental Hand Gesture Recognition.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023


2022
A Free Lunch with Influence Functions? Improving Neural Network Estimates with Concepts from Semiparametric Statistics.
CoRR, 2022


Hierarchical I3D for Sign Spotting.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Signing at Scale: Learning to Co-Articulate Signs for Large-Scale Photo-Realistic Sign Language Production.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Continuous 3D Multi-Channel Sign Language Production via Progressive Transformers and Mixture Density Networks.
Int. J. Comput. Vis., 2021

Skeletal Graph Self-Attention: Embedding a Skeleton Inductive Bias into Sign Language Production.
CoRR, 2021

Targeted VAE: Variational and Targeted Learning for Causal Inference.
Proceedings of the IEEE International Conference on Smart Data Services, 2021

Mixed SIGNals: Sign Language Production via a Mixture of Motion Primitives.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

SeeHear: Signer Diarisation and a New Dataset.
Proceedings of the IEEE International Conference on Acoustics, 2021

Anonysign: Novel Human Appearance Synthesis for Sign Language Video Anonymisation.
Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

Looking for the Signs: Identifying Isolated Sign Instances in Continuous Video Footage.
Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

Content4All Open Research Sign Language Translation Datasets.
Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

Shadow-Mapping for Unsupervised Neural Causal Discovery.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

VDSM: Unsupervised Video Disentanglement With State-Space Modeling and Deep Mixtures of Experts.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Evaluating the Immediate Applicability of Pose Estimation for Sign Language Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Skeletor: Skeletal Transformers for Robust Body-Pose Estimation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Weakly Supervised Learning with Multi-Stream CNN-LSTM-HMMs to Discover Sequential Parallelism in Sign Language Videos.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Text2Sign: Towards Sign Language Production Using Neural Machine Translation and Generative Adversarial Networks.
Int. J. Comput. Vis., 2020

Everybody Sign Now: Translating Spoken Language to Photo Realistic Sign Language Video.
CoRR, 2020

Targeted VAE: Structured Inference and Targeted Learning for Causal Parameter Estimation.
CoRR, 2020

BosphorusSign22k Sign Language Recognition Dataset.
CoRR, 2020

A Phonology-based Approach for Isolated Sign Production Assessment in Sign Language.
Proceedings of the Companion Publication of the 2020 International Conference on Multimodal Interaction, 2020

Gated Variational AutoEncoders: Incorporating Weak Supervision to Encourage Disentanglement.
Proceedings of the 15th IEEE International Conference on Automatic Face and Gesture Recognition, 2020

Progressive Transformers for End-to-End Sign Language Production.
Proceedings of the Computer Vision - ECCV 2020, 2020

SLRTP 2020: The Sign Language Recognition, Translation & Production Workshop.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Multi-channel Transformers for Multi-articulatory Sign Language Translation.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

NestedVAE: Isolating Common Factors via Weak Supervision.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Sign Language Transformers: Joint End-to-End Sign Language Recognition and Translation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Adversarial Training for Multi-Channel Sign Language Production.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019
Approximation of Ensemble Boundary Using Spectral Coefficients.
IEEE Trans. Neural Networks Learn. Syst., 2019

HMM-based Approaches to Model Multichannel Information in Sign Language Inspired from Articulatory Features-based Speech Processing.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
SMILE Swiss German Sign Language Dataset.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Neural Sign Language Translation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Sign Language Production using Neural Machine Translation and Generative Adversarial Networks.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
An Energy-Efficient Multi-Tier Architecture for Fall Detection on Smartphones.
Sensors, 2017

Particle Filter Based Probabilistic Forced Alignment for Continuous Gesture Recognition.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

SubUNets: End-to-End Hand Shape and Continuous Sign Language Recognition.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Isolated sign language recognition using Improved Dense Trajectories.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

BosphorusSign: A Turkish Sign Language Recognition Corpus in Health and Finance Domains.
Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

Using Convolutional 3D Neural Networks for User-independent continuous gesture recognition.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Sign Language Recognition for Assisting the Deaf in Hospitals.
Proceedings of the Human Behavior Understanding - 7th International Workshop, 2016

2015
Facial landmark localization in depth images using Supervised Descent Method.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

Facial Landmark Localization in Depth Images Using Supervised Ridge Descent.
Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

2014
Gesture Recognition Using Template Based Random Forest Classifiers.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

2013
A fast and accurate motion detection algorithm for embedded systems.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

2012
Image processing capabilities of new generation arm cores for WMSNs.
Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012


  Loading...