Mengchen Liu

According to our database1, Mengchen Liu authored at least 57 papers between 2013 and 2024.

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Bibliography

2024
MTD-YOLO: Multi-task deep convolutional neural network for cherry tomato fruit bunch maturity detection.
Comput. Electron. Agric., January, 2024

2023
Visual Analysis of Neural Architecture Spaces for Summarizing Design Principles.
IEEE Trans. Vis. Comput. Graph., 2023

An Evaluation of GPT-4V and Gemini in Online VQA.
CoRR, 2023

Fully Authentic Visual Question Answering Dataset from Online Communities.
CoRR, 2023

On the Hidden Waves of Image.
CoRR, 2023

Foundation Models Meet Visualizations: Challenges and Opportunities.
CoRR, 2023

TinyCLIP: CLIP Distillation via Affinity Mimicking and Weight Inheritance.
CoRR, 2023

Image is First-order Norm+Linear Autoregressive.
CoRR, 2023

Learning from Rich Semantics and Coarse Locations for Long-tailed Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Label-Efficient Representations.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

TinyCLIP: CLIP Distillation via Affinity Mimicking and Weight Inheritance.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Masked Video Distillation: Rethinking Masked Feature Modeling for Self-supervised Video Representation Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Detection Hub: Unifying Object Detection Datasets via Query Adaptation on Language Embedding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Multi-task Tomato Fruit and Bunch Maturity Detection Approach Based on Improved YOLOv7.
Proceedings of the 9th IEEE International Conference on Cloud Computing and Intelligent Systems, 2023

2022
Self-Supervised Learning based on Heat Equation.
CoRR, 2022

Video Mobile-Former: Video Recognition with Efficient Global Spatial-temporal Modeling.
CoRR, 2022

Should All Proposals be Treated Equally in Object Detection?
CoRR, 2022

Residual Mixture of Experts.
CoRR, 2022

TinyViT: Fast Pretraining Distillation for Small Vision Transformers.
Proceedings of the Computer Vision - ECCV 2022, 2022

Should All Proposals Be Treated Equally in Object Detection?
Proceedings of the Computer Vision - ECCV 2022, 2022

MiniViT: Compressing Vision Transformers with Weight Multiplexing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

BEVT: BERT Pretraining of Video Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Reduce Information Loss in Transformers for Pluralistic Image Inpainting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Mobile-Former: Bridging MobileNet and Transformer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Analyzing the Noise Robustness of Deep Neural Networks.
IEEE Trans. Vis. Comput. Graph., 2021

A survey of visual analytics techniques for machine learning.
Comput. Vis. Media, 2021

Florence: A New Foundation Model for Computer Vision.
CoRR, 2021

Weak NAS Predictors Are All You Need.
CoRR, 2021

Stronger NAS with Weaker Predictors.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Revisiting Dynamic Convolution via Matrix Decomposition.
Proceedings of the 9th International Conference on Learning Representations, 2021

CvT: Introducing Convolutions to Vision Transformers.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

MicroNet: Improving Image Recognition with Extremely Low FLOPs.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Dynamic Head: Unifying Object Detection Heads With Attentions.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
An M-Cache-Based Security Monitoring and Fault Recovery Architecture for Embedded Processor.
IEEE Trans. Very Large Scale Integr. Syst., 2020

MicroNet: Towards Image Recognition with Extremely Low FLOPs.
CoRR, 2020

Diagnosing Concept Drift with Visual Analytics.
Proceedings of the 15th IEEE Conference on Visual Analytics Science and Technology, 2020

DA-NAS: Data Adapted Pruning for Efficient Neural Architecture Search.
Proceedings of the Computer Vision - ECCV 2020, 2020

Dynamic ReLU.
Proceedings of the Computer Vision - ECCV 2020, 2020

Dynamic Convolution: Attention Over Convolution Kernels.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Improving the prediction of protein-nucleic acids binding residues via multiple sequence profiles and the consensus of complementary methods.
Bioinform., 2019

2018
Analyzing the Training Processes of Deep Generative Models.
IEEE Trans. Vis. Comput. Graph., 2018

Botanical Internet of Things: Toward Smart Indoor Farming by Connecting People, Plant, Data and Clouds.
Mob. Networks Appl., 2018

RoCoSense: Integrating Robotics, Smart Clothing and Big Data Clouds for Emotion Sensing.
Proceedings of the 14th International Wireless Communications & Mobile Computing Conference, 2018

Fully Convolutional Semi-Supervised Gan for Polsar Classification.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Analyzing the Noise Robustness of Deep Neural Networks.
Proceedings of the 13th IEEE Conference on Visual Analytics Science and Technology, 2018

2017
Towards better analysis of machine learning models: A visual analytics perspective.
Vis. Informatics, 2017

Towards Better Analysis of Deep Convolutional Neural Networks.
IEEE Trans. Vis. Comput. Graph., 2017

Smart Home 2.0: Innovative Smart Home System Powered by Botanical IoT and Emotion Detection.
Mob. Networks Appl., 2017

Job schedulers for Big data processing in Hadoop environment: testing real-life schedulers using benchmark programs.
Digit. Commun. Networks, 2017

Improving Learning-from-Crowds through Expert Validation.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016
An Uncertainty-Aware Approach for Exploratory Microblog Retrieval.
IEEE Trans. Vis. Comput. Graph., 2016

Follower-Followee Network, Communication Networks, and Vote Agreement of the U.S. Members of Congress.
Commun. Res., 2016

Mobile Cloud Platform: Architecture, Deployment and Big Data Applications.
Proceedings of the Cloud Computing, Security, Privacy in New Computing Environments, 2016

2015
Clutter-aware label layout.
Proceedings of the 2015 IEEE Pacific Visualization Symposium, 2015

2014
A survey on information visualization: recent advances and challenges.
Vis. Comput., 2014

OpinionFlow: Visual Analysis of Opinion Diffusion on Social Media.
IEEE Trans. Vis. Comput. Graph., 2014

2013
StoryFlow: Tracking the Evolution of Stories.
IEEE Trans. Vis. Comput. Graph., 2013


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