Qiuxia Lai

Orcid: 0000-0001-6872-5540

According to our database1, Qiuxia Lai authored at least 28 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Self-Supervised Video Representation Learning via Capturing Semantic Changes Indicated by Saccades.
IEEE Trans. Circuits Syst. Video Technol., August, 2024

Spatial attention for human-centric visual understanding: An Information Bottleneck method.
Comput. Vis. Image Underst., 2024

Vector Quantization Prompting for Continual Learning.
CoRR, 2024

Evaluating Text-to-Image Generative Models: An Empirical Study on Human Image Synthesis.
CoRR, 2024

Poly Kernel Inception Network for Remote Sensing Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
EEG-based visual stimuli classification via reusable LSTM.
Biomed. Signal Process. Control., April, 2023

On EDA-Driven Learning for SAT Solving.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

BIFRNet: A Brain-Inspired Feature Restoration DNN for Partially Occluded Image Recognition.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Weakly Supervised Visual Saliency Prediction.
IEEE Trans. Image Process., 2022

Salient Object Detection in the Deep Learning Era: An In-Depth Survey.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

DeepSAT: An EDA-Driven Learning Framework for SAT.
CoRR, 2022

SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

What You See is Not What the Network Infers: Detecting Adversarial Examples Based on Semantic Contradiction.
Proceedings of the 29th Annual Network and Distributed System Security Symposium, 2022

T-WaveNet: A Tree-Structured Wavelet Neural Network for Time Series Signal Analysis.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Understanding More About Human and Machine Attention in Deep Neural Networks.
IEEE Trans. Multim., 2021

Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction.
CoRR, 2021

MixDefense: A Defense-in-Depth Framework for Adversarial Example Detection Based on Statistical and Semantic Analysis.
CoRR, 2021

TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Information Bottleneck Approach to Spatial Attention Learning.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020
Multi-View Video Synopsis via Simultaneous Object-Shifting and View-Switching Optimization.
IEEE Trans. Image Process., 2020

Video Saliency Prediction Using Spatiotemporal Residual Attentive Networks.
IEEE Trans. Image Process., 2020

Video super-resolution via pre-frame constrained and deep-feature enhanced sparse reconstruction.
Pattern Recognit., 2020

T-WaveNet: Tree-Structured Wavelet Neural Network for Sensor-Based Time Series Analysis.
CoRR, 2020

DeepFuse: An IMU-Aware Network for Real-Time 3D Human Pose Estimation from Multi-View Image.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

2019
Human vs Machine Attention in Neural Networks: A Comparative Study.
CoRR, 2019

Salient Object Detection in the Deep Learning Era: An In-Depth Survey.
CoRR, 2019

2018
Temporal Coherent Video Super-resolution via Pre-frame-constrained Sparse Reconstruction.
Proceedings of Computer Graphics International 2018, 2018

2017
Multi-video object synopsis integrating optimal view switching.
Proceedings of the SIGGRAPH Asia 2017 Technical Briefs, Bangkok, Thailand, November 27, 2017


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