Chenchen Zhu

Orcid: 0009-0002-6346-6441

According to our database1, Chenchen Zhu authored at least 44 papers between 2004 and 2024.

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Bibliography

2024
LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding.
CoRR, 2024

A Pairwise Comparison Relation-assisted Multi-objective Evolutionary Neural Architecture Search Method with Multi-population Mechanism.
CoRR, 2024

EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Task offloading and resource allocation for intersection scenarios in vehicular edge computing.
Int. J. Sens. Networks, 2023

SqueezeSAM: User friendly mobile interactive segmentation.
CoRR, 2023

Gen2Det: Generate to Detect.
CoRR, 2023

Diversify, Don't Fine-Tune: Scaling Up Visual Recognition Training with Synthetic Images.
CoRR, 2023

Exploring Open-Vocabulary Semantic Segmentation without Human Labels.
CoRR, 2023

EgoObjects: A Large-Scale Egocentric Dataset for Fine-Grained Object Understanding.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Going Denser with Open-Vocabulary Part Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Exploring Open-Vocabulary Semantic Segmentation from CLIP Vision Encoder Distillation Only.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Enhanced Training of Query-Based Object Detection via Selective Query Recollection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

An AAE-based Proactive Content Chunked Caching Scheme with Mobility Prediction in VANETs.
Proceedings of the 2023 4th International Conference on Computing, 2023

2022
Towards Object Detection in the Real World.
PhD thesis, 2022

3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding.
CoRR, 2022

Unitail: Detecting, Reading, and Matching in Retail Scene.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
NCMS: Towards accurate anchor free object detection through ℓ2 norm calibration and multi-feature selection.
Comput. Vis. Image Underst., 2020

Solving Missing-Annotation Object Detection with Background Recalibration Loss.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Soft Anchor-Point Object Detection.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Adversarial-Based Knowledge Distillation for Multi-Model Ensemble and Noisy Data Refinement.
CoRR, 2019

MMDetection: Open MMLab Detection Toolbox and Benchmark.
CoRR, 2019

A Novel Collaborative Control Strategy for Enhanced Training of Vehicle Recognition.
Proceedings of the 90th IEEE Vehicular Technology Conference, 2019

Feature Selective Anchor-Free Module for Single-Shot Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Bounding Box Regression With Uncertainty for Accurate Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Enhancing Interior and Exterior Deep Facial Features for Face Detection in the Wild.
Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018

Seeing Small Faces From Robust Anchor's Perspective.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
DeepSafeDrive: A grammar-aware driver parsing approach to Driver Behavioral Situational Awareness (DB-SAW).
Pattern Recognit., 2017

Semi self-training beard/moustache detection and segmentation simultaneously.
Image Vis. Comput., 2017

Reformulating Level Sets as Deep Recurrent Neural Network Approach to Semantic Segmentation.
CoRR, 2017

Faster than Real-Time Facial Alignment: A 3D Spatial Transformer Network Approach in Unconstrained Poses.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Robust Hand Detection and Classification in Vehicles and in the Wild.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016
CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection.
CoRR, 2016

Robust hand detection in Vehicles.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Weakly Supervised Facial Analysis with Dense Hyper-Column Features.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

Multiple Scale Faster-RCNN Approach to Driver's Cell-Phone Usage and Hands on Steering Wheel Detection.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

Towards a deep learning framework for unconstrained face detection.
Proceedings of the 8th IEEE International Conference on Biometrics Theory, 2016

2014
Prediction of solar power generation based on the principal components analysis and the BP neural network.
Proceedings of the IEEE 3rd International Conference on Cloud Computing and Intelligence Systems, 2014

Distributed class dependent feature analysis - A big data approach.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013
Multifocus image fusion based on robust principal component analysis.
Pattern Recognit. Lett., 2013

RAS: A Task Scheduling Algorithm Based on Resource Attribute Selection in a Task Scheduling Framework.
Proceedings of the Internet and Distributed Computing Systems, 2013

A robust fusion scheme for multifocus images using sparse features.
Proceedings of the IEEE International Conference on Acoustics, 2013

2011
Novel Mechano-Luminescent Sensors Based on Piezoelectric/Electroluminescent Composites.
Sensors, 2011

2004
Small Phylogeny Problem: Character Evolution Trees.
Proceedings of the Combinatorial Pattern Matching, 15th Annual Symposium, 2004


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