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In this paper, we tackle the problem of detailed hand-object 3D reconstruction from monocular video with unknown objects, for applications where the required accuracy and level of detail is important, e.g. object hand-over in human–robot ...

• Object-agnostic hand-object 3D reconstruction from monocular hand-object motion video
• Robust rigid-transformation estimation network that leverages large pre-trained model
• Two-stage pipeline for 3D hand-object reconsruction
• New ...

Image Matching is a core component of all best-performing algorithms and pipelines in 3D vision. Yet despite matching being fundamentally a 3D problem, intrinsically linked to camera pose and scene geometry, it is typically treated as a 2D ...

We present a new dataset of densely sampled spatio-temporal 4D human motion data of different actors, outfits and motions. The dataset contains different actors wearing different outfits while performing different motions in each outfit. It ...

• 4DHumanOutfit, datacube of dynamic 4D human motion of 20 actors in 7 outfits each, performing 11 motions per outfit.
• A subset of 18 actors in 6 outfits and 10 motions released for research purposes.
• Evaluation protocols and ...

Masked Image Modeling (MIM) has recently been established as a potent pre- training paradigm. A pretext task is constructed by masking patches in an input image, and this masked content is then predicted by a neural network using visible patches as sole ...

We propose a full study and methodology for multi-view stereo reconstruction with performance capture data. Multi-view 3D reconstruction has largely been studied with general, high resolution and high texture content inputs, where classic low-...

We introduce DOPE, the first method to detect and estimate whole-body 3D human poses, including bodies, hands and faces, in the wild. Achieving this level of details is key for a number of applications that require understanding the interactions ...

In this paper, we present the CLEAR visualizer tool, which supports the debugging task of behavioural models being analyzed using model checking techniques. The tool provides visualization techniques for simplifying the comprehension of counterexamples ...

This paper presents a tool for debugging behavioural models being analysed using model checking techniques. It consists of three parts: (i) one for annotating a behavioural model given a temporal formula, (ii) one for visualizing the erroneous ...

The rise of virtual and augmented reality fuels an increased need for content suitable to these new technologies including 3D contents obtained from real scenes. We consider in this paper the problem of 3D shape reconstruction from multi-view RGB ...

• Deployment strategies for text creation tasks were proposed.
• Strategies were ...

Automatically generating text of high quality in tasks such as translation, summarization, and narrative writing is difficult as these tasks require creativity, which only humans currently exhibit. However, crowdsourcing such tasks is ...

Stream processing has become extremely popular for analyzing huge volumes of data for a variety of applications, including IoT, social networks, retail, and software logs analysis. Streams of data are produced continuously and are mined to extract ...

In this paper, we introduce item-centric mining, a new semantics for mining long-tailed datasets. Our algorithm, TopPI, finds for each item its top-k most frequent closed itemsets. While most mining algorithms focus on the globally most frequent ...

Distributed stream processing engines continuously execute series of operators on data streams. Horizontal scaling is achieved by deploying multiple instances of each operator in order to process data tuples in parallel. As the application is ...

We study a particular kind of join, coined Ranked Temporal Join (RTJ), featuring predicates that compare time intervals and a scoring function associated with each predicate to quantify how well it is satisfied. RTJ queries are prevalent in a variety of ...

The problem of summarizing a large collection of homogeneous items has been addressed extensively in particular in the case of geo-tagged datasets (e.g. Flickr photos and tags). In our work, we study the problem of summarizing large collections of ...

One of the greatest challenges in the embedded systems area is to empower software developers with tools that speed up the debugging of QoS properties in applications. Typical streaming applications, such as multimedia (audio/video) decoding, fulfill ...

The popularity of social-networking sites has increased rapidly over the last decade. A basic functionalities of social-networking sites is to present users with streams of events shared by their friends. At a systems level, materialized per-user views ...

Distributed search engines comprise multiple sites deployed across geographically distant regions, each site being specialized to serve the queries of local users. When a search site cannot accurately compute the results of a query, it must forward the ...

Social networking systems present users with online event streams that include recent activities of their friends. Materialized per-user views are a common way to generate such event streams on-line and with low latency. We propose improving throughput ...

Social feeds are used in many popular Web applications. They let users produce events, as well as read feeds containing the events generated by their friends. This paper investigates the design of an in-memory platform to manage social feeds. We show ...