24 August 2020
How mid-size sets of captioned images can rival with large-scale labelled image sets to learn generic representations
2020
21 August 2020
A novel efficient model for whole-body 3D pose estimation (including bodies, hands and faces), that is trained by mimicking the output of hand-, body- and face-pose experts.
2020
4 August 2020
A new method called FORCE achieves extreme sparsity in artificial neural networks by progressively removing up to 99.9% of parameters at initialization, making it a promising candidate for training networks on edge devices (like drones or smartphones).
2020
30 July 2020
Announcing 'kapture' the open source release of a new SfM and visual localization data format. Available for ECCV2020 workshop challenge on visual localization.
2020
17 July 2020
ACL 2020 was held virtually the week of July 6th. As a combined industry/academic research team, we grouped information and papers on the topics we considered emerging at this year's conference.
2020
10 July 2020
A overview of current research methods in lifelong learning (rehearse, grow, regularize), the advantages and drawback of each and where we see future work heading.
2020
6 July 2020
With Ambient Wanderer, we aim to inform the design of systems that can meet the requirements of on-the-go users looking to discover relevant points of interest, and to demonstrate the benefits of using a hybrid Wizard of Oz approach to investigate POI recommender systems.
2020
12 June 2020
A first-of-its-kind architecture that, based on a single image, predicts how a robot can pick up objects from within any scene could revolutionize applications in AR/VR and robotics.
2020
10 June 2020
1st in autonomous vehicle challenge, 2nd in local feature and 4th in handheld devices R2D2 and KAPTURE demonstrate generalizability and wide variety of applications
2020
28 May 2020
Our navigation system enables robots to adapt to specific real-world environments and use cases with only small amounts of human preference data.
2020
27 May 2020
We're releasing a state-of-the-art multilingual and multi-domain neural machine translation model specialised for biomedical data that enables translation into English from five languages (French, German, Italian, Spanish and Korean).
2020
28 April 2020
A new platform based on deep-learning approaches to handwritten-text recognition and information extraction enables data from century-old documents to be parsed and analysed, making it possible to explore epidemics and the evolution of populations over time.
2020