Name
Affiliation
Papers
RICHARD BOWDEN
Centre for Vision, Speech and Signal Processing, University of Surrey, UK
168
Collaborators
Citations 
PageRank 
402
1840
118.50
Referers 
Referees 
References 
4262
2839
2111
Search Limit
1001000
Title
Citations
PageRank
Year
'The Pedestrian next to the Lamppost” Adaptive Object Graphs for Better Instantaneous Mapping00.342022
Signing at Scale: Learning to Co-Articulate Signs for Large-Scale Photo-Realistic Sign Language Production00.342022
AFT-VO: Asynchronous Fusion Transformers for Multi-View Visual Odometry Estimation.00.342022
Learning an Interpretable Model for Driver Behavior Prediction with Inductive Biases.00.342022
MDN-VO: Estimating Visual Odometry with Confidence00.342021
ARC: Adversarially Robust Control Policies for Autonomous Vehicles00.342021
Enabling spatio-temporal aggregation in Birds-Eye-View Vehicle Estimation00.342021
Multi-Camera Sensor Fusion for Visual Odometry using Deep Uncertainty Estimation.00.342021
SEEHEAR: SIGNER DIARISATION AND A NEW DATASET10.362021
Weakly Supervised Reinforcement Learning For Autonomous Highway Driving Via Virtual Safety Cages00.342021
Training Adversarial Agents to Exploit Weaknesses in Deep Control Policies00.342020
Same Features, Different Day: Weakly Supervised Feature Learning For Seasonal Invariance00.342020
Multi-channel Transformers for Multi-articulatory Sign Language Translation30.392020
Text2Sign: Towards Sign Language Production Using Neural Machine Translation and Generative Adversarial Networks40.422020
Adversarial Training for Multi-Channel Sign Language Production.00.342020
Sign Language Transformers: Joint End-to-end Sign Language Recognition and Translation20.382020
SignSynth - Data-Driven Sign Language Video Generation.00.342020
Weakly Supervised Learning with Multi-Stream CNN-LSTM-HMMs to Discover Sequential Parallelism in Sign Language Videos70.532020
SLRTP 2020 - The Sign Language Recognition, Translation & Production Workshop.00.342020
A Phonology-based Approach for Isolated Sign Production Assessment in Sign Language00.342020
Gated Variational AutoEncoders: Incorporating Weak Supervision to Encourage Disentanglement00.342020
Hmm-Based Approaches To Model Multichannel Information In Sign Language Inspired From Articulatory Features-Based Speech Processing00.342019
Deep Sign: Enabling Robust Statistical Continuous Sign Language Recognition via Hybrid CNN-HMMs.50.462018
SeDAR - Semantic Detection and Ranging: Humans can localise without LiDAR, can robots?30.382018
Sign Language Production using Neural Machine Translation and Generative Adversarial Networks.10.352018
From Vision to Grasping: Adapting Visual Networks.00.342017
TMAGIC: A Model-Free 3D Tracker.10.362017
Deep Sign: Hybrid CNN-HMM for Continuous Sign Language Recognition.10.352016
Deep Hand: How To Train A Cnn On 1 Million Hand Images When Your Data Is Continuous And Weakly Labelled90.522016
Texture-Independent Long-Term Tracking Using Virtual Corners60.442016
Next-Best Stereo: Extending Next-Best View Optimisation For Collaborative Sensors.00.342016
Dense Rigid Reconstruction From Unstructured Discontinuous Video00.342015
Exploiting High Level Scene Cues in Stereo Reconstruction20.352015
Data Mining For Action Recognition00.342014
A Multitouchless Interface: Expanding User Interaction.00.342014
Guest Editorial: Tracking, Detection and Segmentation10.362014
Read My Lips: Continuous Signer Independent Weakly Supervised Viseme Recognition70.492014
Scene particles: unregularized particle-based scene flow estimation.280.822014
Natural Action Recognition Using Invariant 3d Motion Encoding80.432014
Friendly Faces: Weakly Supervised Character Identification.10.352014
ChaLearn multi-modal gesture recognition 2013: grand challenge and workshop summary180.742013
Non-linear predictors for facial feature tracking across pose and expression40.442013
Improving recognition and identification of facial areas involved in Non-Verbal Communication by feature selection.00.342013
Accurate Static Pose Estimation Combining Direct Regression And Geodesic Extrema30.392013
Hollywood 3D: Recognizing Actions in 3D Natural Scenes461.282013
Multi-touchless: Real-time fingertip detection and tracking using geodesic maxima90.482013
Long-Term Tracking through Failure Cases110.662013
May the force be with you: Force-aligned signwriting for automatic subunit annotation of corpora90.572013
A picture is worth a thousand tags: automatic web based image tag expansion40.412012
Meeting in the Middle: A top-down and bottom-up approach to detect pedestrians00.342012
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