Pengguang Chen

Orcid: 0009-0004-1746-5127

According to our database1, Pengguang Chen authored at least 22 papers between 2016 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
BAL: Balancing Diversity and Novelty for Active Learning.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

VLPose: Bridging the Domain Gap in Pose Estimation with Language-Vision Tuning.
CoRR, 2024

MOODv2: Masked Image Modeling for Out-of-Distribution Detection.
CoRR, 2024

2023
Adaptive Perspective Distillation for Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Challenge LLMs to Reason About Reasoning: A Benchmark to Unveil Cognitive Depth in LLMs.
CoRR, 2023

MoTCoder: Elevating Large Language Models with Modular of Thought for Challenging Programming Tasks.
CoRR, 2023

Defect Spectrum: A Granular Look of Large-Scale Defect Datasets with Rich Semantics.
CoRR, 2023

A Scale-Invariant Task Balancing Approach for Multi-Task Learning.
CoRR, 2023

TagCLIP: Improving Discrimination Ability of Open-Vocabulary Semantic Segmentation.
CoRR, 2023

Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is All You Need.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
SEA: Bridging the Gap Between One- and Two-stage Detector Distillation via SEmantic-aware Alignment.
CoRR, 2022

2021
Adversarial Attacks on ML Defense Models Competition.
CoRR, 2021

Exploring and Improving Mobile Level Vision Transformers.
CoRR, 2021

Deep Structured Instance Graph for Distilling Object Detectors.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Distilling Knowledge via Knowledge Review.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Jigsaw Clustering for Unsupervised Visual Representation Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
GridMask Data Augmentation.
CoRR, 2020

2019
Fast and Practical Neural Architecture Search.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
A general framework for big data knowledge discovery and integration.
Concurr. Comput. Pract. Exp., 2018

2017
Ship Track Regression Based on Support Vector Machine.
IEEE Access, 2017

2016
Visual tracking via adaptive multi-task feature learning with calibration and identification.
Signal Process. Image Commun., 2016

Combination of spatio-temporal and transform domain for sparse occlusion estimation by optical flow.
Neurocomputing, 2016


  Loading...