2.3 W, Linearly-Polarized Superfluorescent Generation From a Polarization-Mai…
We present a high-power, polarization-maintaining (PM) Er 3+ -doped fluoride fiber amplifier, which enables watt- level, linearly-polarized (LP) superfluorescent outputs around 2.8 μm by using a n…
Widar3.0 : Zero-Effort Cross-Domain Gesture Recognition With Wi-Fi
With the development of signal processing technology, the ubiquitous Wi-Fi devices open an unprecedented opportunity to solve the challenging human gesture recognition problem by learning motion re…
Time-Varying Optical Spin-Orbit Interactions in Tight Focusing of Self-Torque…
Self-torque has recently been observed as a novel property of light that features time-varying orbital angular momentum (OAM) along a light pulse. This property offers an additional degree of freed…
Multi-Attribute Discriminative Representation Learning for Prediction of Adve…
Adverse drug-drug interaction (ADDI) is a significant life-threatening issue, posing a leading cause of hospitalizations and deaths in healthcare systems. This paper proposes a unified Multi-Attrib…
High Operating Temperature Mid-Infrared InGaAs/GaAs Submonolayer Quantum Dot …
Monolithic integration of infrared photodetectors on a silicon platform is a promising solution for the development of scalable and affordable photodetectors and infrared focal plane arrays. We rep…
Cross-Domain Facial Expression Recognition: A Unified Evaluation Benchmark an…
Facial expression recognition (FER) has received significant attention in the past decade with witnessed progress, but data inconsistencies among different FER datasets greatly hinder the generaliz…
Bridging the Gap Between Few-Shot and Many-Shot Learning via Distribution Cal…
A major gap between few-shot and many-shot learning is the data distribution empirically oserved by the model during training. In few-shot learning, the learned model can easily become over-fitted …
Structured Multimodal Attentions for TextVQA
Text based Visual Question Answering (TextVQA) is a recently raised challenge requiring models to read text in images and answer natural language questions by jointly reasoning over the question, t…
Exploring the Balance Between Computational Thinking and Learning Motivation …
Computational thinking (CT) skills are generally regarded as a basic ability for problem-solving and are gradually filtering down to younger age groups. Existing research has attempted to increase …
PRIN/SPRIN: On Extracting Point-Wise Rotation Invariant Features
Point cloud analysis without pose priors is very challenging in real applications, as the orientations of point clouds are often unknown. In this paper, we propose a brand new point-set learning fr…
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