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Short video collection is an easy way for users to consume coherent content on various online short video platforms, such as TikTok, YouTube, Douyin, and WeChat Channel. These collections cover a wide range of content, including online courses, TV series,...

Due to the ever-growing powers in sensing, computing, communicating and storing, mobile devices (e.g., smartphone, smartwatch, smart glasses) become ubiquitous and an indispensable part of people’s daily life. Until now, mobile devices have been ...

Audio-Visual Event Localization (AVEL) aims to locate events that are both visible and audible in a video. Existing AVEL methods primarily focus on learning generic localization patterns that are applicable to all events. However, events often exhibit ...

To provide instant communication for hearing-impaired people, it is essential to achieve real-time sign language processing anytime anywhere. Therefore, in this paper, we propose a Region-aware Temporal Graph based neural Network (RTG-Net), aiming to ...

There are two problems that widely exist in current end-to-end sign language processing architecture. One is the CTC spike phenomenon which weakens the visual representational ability in Continuous Sign Language Recognition (CSLR). The other one is the ...

Unsupervised readability assessment aims to evaluate the reading difficulty of text without any manually-labeled data for model training. This is a challenging task because the absence of labeled data makes it difficult for the model to understand what ...

Speech is a natural communication way between people and a good way for human-computer interaction. However, speech with audible voices often faces the following problems, e.g., being affected by surrounding noises, breaking the quiet environment, leaking ...

Ride-pooling, which accommodates multiple passenger requests in a single trip, has the potential to substantially enhance the throughput of mobility-on-demand (MoD) systems. This paper investigates MoD systems that operate mixed fleets composed of “basic ...

Recognizing emotions from multi-modal data is an emotion recognition task that requires strong multi-modal representation ability. The general approach to this task is to naturally train the representation model on training data without intervention. ...

Emotion-cause pair extraction (ECPE) is a recently proposed task that aims to extract the potential clause pairs of emotions and its corresponding causes in a document. In this article, we propose a new paradigm for the ECPE task. We cast the task as a ...

Emerging on-demand service platforms (OSPs) have recently embraced teamwork as a strategy for stimulating workers’ productivity and mediating temporal supply and demand imbalances. This research investigates the team contest scheme design problem ...

For deep ordinal classification, learning a well-structured feature space specific to ordinal classification is helpful to properly capture the ordinal nature among classes. Intuitively, when Euclidean distance metric is used, an ideal ordinal layout in ...

The increased market penetration of route guidance tools–relaying real-time traffic information to drivers–can have damaging effects on transportation networks, including traffic congestion oscillation resulting from the overreaction ...

Open intent classification is a practical yet challenging task in dialogue systems. Its objective is to accurately classify samples of known intents while at the same time detecting those of open (unknown) intents. Existing methods usually use outlier ...

Pen-based handwriting has become one of the major human-computer interaction methods. Traditional approaches either require writing on the specific supporting device like the touch screen, or limit the way of using the pen to pure rotation or ...

Ride-sourcing services play an increasingly important role in meeting mobility needs in many metropolitan areas. Yet, aside from delivering passengers from their origins to destinations, ride-sourcing vehicles generate a significant number of vacant trips ...

The dynamic pricing problem of a freeway corridor with high-occupancy toll (HOT) lanes was formulated and solved based on a point queue abstraction of the traffic system <xref ref-type="bibr" rid="ref1">[1]</xref>. However, existing pricing strategies ...

As an essential communication way for deaf-mutes, sign languages are expressed by human actions. To distinguish human actions for sign language understanding, the skeleton which contains position information of human pose can provide an important cue, ...