195 Result(s)
within
Computer Science
Artificial Intelligence
Qing-**ang Wang
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Article
Spatially-Varying Illumination-Aware Indoor Harmonization
In this paper, we address the problem of spatially-varying illumination-aware indoor harmonization. Existing image harmonization works either focus on extracting no more than 2D information (e.g., low-level st...
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Article
Open AccessMulti-view Heterogeneous Graph Neural Networks for Node Classification
Recently, with graph neural networks (GNNs) becoming a powerful technique for graph representation, many excellent GNN-based models have been proposed for processing heterogeneous graphs, which are termed Hete...
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Article
ZMNet: feature fusion and semantic boundary supervision for real-time semantic segmentation
Feature fusion module is an essential component of real-time semantic segmentation networks to bridge the semantic gap among different feature layers. However, many networks are inefficient in multi-level feat...
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Article
ViDSOD-100: A New Dataset and a Baseline Model for RGB-D Video Salient Object Detection
With the rapid development of depth sensor, more and more RGB-D videos could be obtained. Identifying the foreground in RGB-D videos is a fundamental and important task. However, the existing salient object de...
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Article
Open AccessJoint training with local soft attention and dual cross-neighbor label smoothing for unsupervised person re-identification
Existing unsupervised person re-identification approaches fail to fully capture the fine-grained features of local regions, which can result in people with similar appearances and different identities being as...
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Article
Optimal Strategy for Aircraft Pursuit-evasion Games via Self-play Iteration
In this paper, the pursuit-evasion game with state and control constraints is solved to achieve the Nash equilibrium of both the pursuer and the evader with an iterative self-play technique. Under the conditio...
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Article
Open AccessSemantic Spectral Clustering with Contrastive Learning and Neighbor Mining
Deep spectral clustering techniques are considered one of the most efficient clustering algorithms in data mining field. The similarity between instances and the disparity among classes are two critical factor...
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Article
Collaborative learning of supervision and correlation for generalized zero-shot extreme multi-label learning
Generalized zero-shot extreme multi-label learning (GZXML) aims to predict relevant labels for unknown instances from a set of seen and unseen labels and is widely used in engineering applications. Since the s...
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Article
Open AccessIntuitionistic Fuzzy Extreme Learning Machine with the Truncated Pinball Loss
Fuzzy extreme learning machine (FELM) is an effective algorithm for dealing with classification problems with noises, which uses a membership function to effectively suppress noise in data. However, FELM has t...
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Article
Open AccessDE3TC: Detecting Events with Effective Event Type Information and Context
Event Detection (ED) is a crucial information extraction task that aims to identify the event triggers and classify them into predefined event types. However, most existing methods did not perform well when pr...
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Article
Towards High-Performance Graph Processing: From a Hardware/Software Co-Design Perspective
Graph processing has been widely used in many scenarios, from scientific computing to artificial intelligence. Graph processing exhibits irregular computational parallelism and random memory accesses, unlike t...
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Article
Offline handwritten mathematical expression recognition based on YOLOv5s
The error accumulation in traditional offline handwritten mathematical expression recognition (OHMER) becomes challenging, because of the two-dimensional structure and writing arbitrariness of offline handwrit...
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Article
Open AccessTLC-XML: Transformer with Label Correlation for Extreme Multi-label Text Classification
Extreme multi-label text classification (XMTC) annotates related labels for unknown text from large-scale label sets. Transformer-based methods have become the dominant approach for solving the XMTC task due t...
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Article
Machine reading comprehension model based on query reconstruction technology and deep learning
Machine reading comprehension is introduced to improve machines’ readability and understandability of human languages. This sophisticated version of natural language processing is used for testing and improvin...
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Chapter and Conference Paper
Joint Training or Not: An Exploration of Pre-trained Speech Models in Audio-Visual Speaker Diarization
The scarcity of labeled audio-visual datasets is a constraint for training superior audio-visual speaker diarization systems. To improve the performance of audio-visual speaker diarization, we leverage pre-tra...
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Chapter and Conference Paper
Consensusless Blockchain: A Promising High-Performance Blockchain Without Consensus
Consensus is unnecessary when the truth is available. In this paper, we present a new perspective of rebuilding the blockchain without consensus. When the consensus phase is eliminated from a blockchain, trans...
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Article
Towards High-Resolution Specular Highlight Detection
Specular highlight detection is an essential task with various applications in computer vision. This paper aims to detect specular highlights in single high-resolution images using deep learning while avoiding...
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Chapter and Conference Paper
Construction and Evaluation of the Five-in-One Practice Teaching Model
In response to the economic and social development of Tibet Autonomous Region and the demand for information technology construction in the new engineering era, this paper analyzes the communication engineerin...
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Article
Principal relation component reasoning-enhanced social relation recognition
Social relationships (SRs) are the basis of human life. Hence, the ability to accurately recognize interpersonal relations in public spaces based on visual observations helps policymakers improve mental health...
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Article
ACKSNet: adaptive center keypoint selection for object detection
Keypoint-based detectors generate a large number of false positives due to incorrect keypoint matching in the object detection task. In this paper, we propose an adaptive center keypoint selection method (ACKS...
