21 citations · 43 across the 16 of their papers we have counts for
16 papers
Predictive Reasoning with Augmented Anomaly Contrastive Learning for Compositional Visual Relations
Chengtai Li, Yuting He, Jianfeng Ren +4
While visual reasoning for simple analogies has received significant attention, compositional visual relations (CVR) remain relatively unexplored due to their greater complexity. T…
ERL-MPP: Evolutionary Reinforcement Learning with Multi-head Puzzle Perception for Solving Large-scale Jigsaw Puzzles of Eroded Gaps
Xingke Song, Xiaoying Yang, Chenglin Yao +4
Solving jigsaw puzzles has been extensively studied. While most existing models focus on solving either small-scale puzzles or puzzles with no gap between fragments, solving large-…
Pattern based learning and optimisation through pricing for bin packing problem
Huayan Zhang, Ruibin Bai, Tie-Yan Liu +3
As a popular form of knowledge and experience, patterns and their identification have been critical tasks in most data mining applications. However, as far as we are aware, no stud…
Scale Optimization Using Evolutionary Reinforcement Learning for Object Detection on Drone Imagery
Jialu Zhang, Xiaoying Yang, Wentao He +6
Object detection in aerial imagery presents a significant challenge due to large scale variations among objects. This paper proposes an evolutionary reinforcement learning agent, i…
Multi-View Spectrogram Transformer for Respiratory Sound Classification
Wentao He, Yuchen Yan, Jianfeng Ren +2
Deep neural networks have been applied to audio spectrograms for respiratory sound classification. Existing models often treat the spectrogram as a synthetic image while overlookin…
Mask Attack Detection Using Vascular-weighted Motion-robust rPPG Signals
Chenglin Yao, Jianfeng Ren, Ruibin Bai +3
Detecting 3D mask attacks to a face recognition system is challenging. Although genuine faces and 3D face masks show significantly different remote photoplethysmography (rPPG) sign…
Video Question Answering Using CLIP-Guided Visual-Text Attention
Shuhong Ye, Weikai Kong, Chenglin Yao +2
Cross-modal learning of video and text plays a key role in Video Question Answering (VideoQA). In this paper, we propose a visual-text attention mechanism to utilize the Contrastiv…
Confidence-based Event-centric Online Video Question Answering on a Newly Constructed ATBS Dataset
Weikai Kong, Shuhong Ye, Chenglin Yao +1
Deep neural networks facilitate video question answering (VideoQA), but the real-world applications on video streams such as CCTV and live cast place higher demands on the solver.…
Boosting the Discriminant Power of Naive Bayes
Shihe Wang, Jianfeng Ren, Xiaoyu Lian +2
Naive Bayes has been widely used in many applications because of its simplicity and ability in handling both numerical data and categorical data. However, lack of modeling of corre…
A Max-relevance-min-divergence Criterion for Data Discretization with Applications on Naive Bayes
Shihe Wang, Jianfeng Ren, Ruibin Bai +2
In many classification models, data is discretized to better estimate its distribution. Existing discretization methods often target at maximizing the discriminant power of discret…
Dynamic Texture Recognition using PDV Hashing and Dictionary Learning on Multi-scale Volume Local Binary Pattern
Ruxin Ding, Jianfeng Ren, Heng Yu +1
Spatial-temporal local binary pattern (STLBP) has been widely used in dynamic texture recognition. STLBP often encounters the high-dimension problem as its dimension increases expo…
Two-stage Rule-induction Visual Reasoning on RPMs with an Application to Video Prediction
Wentao He, Jianfeng Ren, Ruibin Bai +1
Raven's Progressive Matrices (RPMs) are frequently used in evaluating human's visual reasoning ability. Researchers have made considerable efforts in developing systems to automati…
Spatial-context-aware deep neural network for multi-class image classification
Jialu Zhang, Qian Zhang, Jianfeng Ren +2
Multi-label image classification is a fundamental but challenging task in computer vision. Over the past few decades, solutions exploring relationships between semantic labels have…
A Semi-Supervised Adaptive Discriminative Discretization Method Improving Discrimination Power of Regularized Naive Bayes
Shihe Wang, Jianfeng Ren, Ruibin Bai
Recently, many improved naive Bayes methods have been developed with enhanced discrimination capabilities. Among them, regularized naive Bayes (RNB) produces excellent performance…
Data augmentation by morphological mixup for solving Raven's Progressive Matrices
Wentao He, Jianfeng Ren, Ruibin Bai
Raven's Progressive Matrices (RPMs) are frequently used in testing human's visual reasoning ability. Recent advances of RPM-like datasets and solution models partially address the…
Analytics and Machine Learning in Vehicle Routing Research
Ruibin Bai, Xinan Chen, Zhi-Long Chen +13
The Vehicle Routing Problem (VRP) is one of the most intensively studied combinatorial optimisation problems for which numerous models and algorithms have been proposed. To tackle…