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Deep Learning Accelerators (DLAs) are effective to improve both performance and energy efficiency of compute-intensive deep learning algorithms. A flexible and portable mean to exploit DLAs is using high-performance software libraries with well-...

Autonomous driving systems need to undergo rigorous testing in complex scenarios including a variety of extreme operating conditions before they can be put into use. In this process, digital twin technology can migrate the scenes in the physical world ...

Video captioning requires that the model has the abilities of video understanding, video-text alignment, and text generation. Due to the semantic gap between vision and language, conducting video-text alignment is a crucial step to reduce the semantic gap,...

With the proliferation of user-generated videos in online websites, it becomes particularly important to achieve automatic perception and understanding of human emotion/sentiment from these videos. In this paper, we present our solutions to the MuSe-...

Automatic estimation of emotional state has a wide application in human-computer interaction. In this paper, we present our solutions for the MuSe-Stress and MuSe-Physio sub-challenge of Multimodal Sentiment Analysis (MuSe 2021). The goal of these two ...

When interacting with the complex and rapid change environment, human brains often face the challenge that not only abundant external, sensory information but also sophisticated internal information need to be processed in real time with limited ...

Audio-visual speech separation has been demonstrated to be effective in solving the cocktail party problem. However, most of the models cannot meet online processing, which limits their application in video communication and human-robot interaction. ...

Person search often requires a query photo of the target person. However, in many practical scenarios, there is no guarantee that such a photo is always available. In this paper, we define the problem of sketch based person search, which uses a sketch ...

This paper presents a set of overall system design for tracking moving target with rotor Unmanned Aerial Vehicle (UAV). The tracking scene of the system is the autonomous tracking of the vehicle target in the environment with obstacles. Aiming at the ...

This paper proposes a dynamic range model and algorithm that analyzes several key factors that affect the dynamic range of imaging equipment. Through this model and algorithm, we analyze several modules that affect the dynamic range of the system, ...

Most existing image captioning methods use only the visual information of the image to guide the generation of captions, lack the guidance of effective scene semantic information, and the current visual attention mechanism cannot adjust the focus ...

The proliferation of unmanned aerial vehicles (UAVs) has flourished various intelligent services, in which the effective coordination plays a significant role in enhancing swarm execution efficiency. However, due to the unreliable communication in the ...

Communication improves the efficiency and convergence of multi-agent learning. Existing study of agent communication has been limited on predefined fixed connections. While an attention mechanism exists and is useful for scheduling the communication ...

The research of Tibetan dependency analysis is mainly limited to two challenges: lack of a dataset and reliance on expert knowledge. To resolve the preceding challenges, we first introduce a new Tibetan dependency analysis dataset, and then propose a ...

Adversarial attacks have been viewed as the primary threat to the security of neural networks. Hence, extensive adversarial defense techniques have been proposed to protect the neural networks from adversarial attacks, allowing for the application of ...

Deep Reinforcement Learning (DRL) is substantially resource-consuming, and it requires large-scale distributed computing-nodes to learn complicated tasks, like videogame and Go play. This work attempts to down-scale a distributed DRL system into a ...

Human immunodeficiency virus 1 (HIV-1) protease (PR) plays a crucial role in the maturation of the virus. The study of substrate specificity of HIV-1 PR as a new endeavor strives to increase our ability to understand how HIV-1 PR recognizes its various ...

We present a novel approach to reconstruct high-fidelity geometric human face model from a single RGB image. The main idea is to add details into a coarse 3D Morphable Model (3DMM) based model in a self-supervised way. Our observation is that most of ...

Specular highlight removal is a challenging task. We present a novel data-driven approach for automatic specular highlight removal from a single image. To this end, we build a new dataset of real-world images for specular highlight removal with ...

Bit-serial architectures (BSAs) are becoming increasingly popular in low power neural network processor (NNP) design. However, the performance and efficiency of state-of-the-art BSA NNPs are heavily depending on the distribution of ineffectual weight-...