7 December 2020
Podcast and transcript on 3rd Robot Learning Workshop at NeurIPS 2020 with Julien Perez, group lead machine learning and optimization at NAVER LABS Europe and co-organiser of the workshop.
2020
24 November 2020
A new approach to image search uses images returned by traditional search methods as nodes in a graph neural network through which similarity signals are propagated, achieving improved ranking in cross-modal retrieval.
2020
5 November 2020
A new greedy, brute-force solution improves fairness in ranking and encompasses realistic scenarios with multiple, unknown protected groups.
2020
16 October 2020
By incorporating a set of reusable constructs that enable advanced functionality, Flow makes platform-agnostic application modelling, creation, distribution and maintenance easy.
2020
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