Jiale Cao

Orcid: 0000-0002-5160-6841

According to our database1, Jiale Cao authored at least 72 papers between 2015 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Multi-feature self-attention super-resolution network.
Vis. Comput., May, 2024

Toward Generalizable Multispectral Pedestrian Detection.
IEEE Trans. Intell. Transp. Syst., May, 2024

ESGN: Efficient Stereo Geometry Network for Fast 3D Object Detection.
IEEE Trans. Circuits Syst. Video Technol., April, 2024

Deep intra-image contrastive learning for weakly supervised one-step person search.
Pattern Recognit., March, 2024

A many-objective evolutionary algorithm based on interaction force and hybrid optimization mechanism.
Swarm Evol. Comput., 2024

Multi-query and multi-level enhanced network for semantic segmentation.
Pattern Recognit., 2024

C2BG-Net: Cross-modality and cross-scale balance network with global semantics for multi-modal 3D object detection.
Neural Networks, 2024

Localization-aware logit mimicking for object detection in adverse weather conditions.
Image Vis. Comput., 2024

iSeg: An Iterative Refinement-based Framework for Training-free Segmentation.
CoRR, 2024

Parameter-Efficient Fine-Tuning for Continual Learning: A Neural Tangent Kernel Perspective.
CoRR, 2024

Multi-Granularity Language-Guided Multi-Object Tracking.
CoRR, 2024

VFMM3D: Releasing the Potential of Image by Vision Foundation Model for Monocular 3D Object Detection.
CoRR, 2024

Implicit and Explicit Language Guidance for Diffusion-based Visual Perception.
CoRR, 2024

SGD: Street View Synthesis with Gaussian Splatting and Diffusion Prior.
CoRR, 2024

CLIP-VIS: Adapting CLIP for Open-Vocabulary Video Instance Segmentation.
CoRR, 2024

A many-objective evolutionary algorithm based on reference vector guided selection and two diversity and convergence enhancement strategies.
Appl. Soft Comput., 2024

An enhanced diversity indicator-based many-objective evolutionary algorithm with shape-conforming convergence metric.
Appl. Soft Comput., 2024

DB-SAM: Delving into High Quality Universal Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

SED: A Simple Encoder-Decoder for Open-Vocabulary Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

An Evolutionary Algorithm with Feasibility Tracking Strategy for Constrained Multi-Objective Optimization Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023
Visual-quality-driven unsupervised image dehazing.
Neural Networks, October, 2023

Spatial attention-guided deformable fusion network for salient object detection.
Multim. Syst., October, 2023

Context and detail interaction network for stereo rain streak and raindrop removal.
Neural Networks, September, 2023

Hierarchical Regression and Classification for Accurate Object Detection.
IEEE Trans. Neural Networks Learn. Syst., May, 2023

Real-Time Stereo 3D Car Detection With Shape-Aware Non-Uniform Sampling.
IEEE Trans. Intell. Transp. Syst., April, 2023

Semantic-aware self-supervised depth estimation for stereo 3D detection.
Pattern Recognit. Lett., March, 2023

SipMaskv2: Enhanced Fast Image and Video Instance Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Latent Feature Pyramid Network for Object Detection.
IEEE Trans. Multim., 2023

Cross-Modal Local Calibration and Global Context Modeling Network for RGB-Infrared Remote-Sensing Object Detection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Global Context Aggregation Network for Lightweight Saliency Detection of Surface Defects.
CoRR, 2023

CINFormer: Transformer network with multi-stage CNN feature injection for surface defect segmentation.
CoRR, 2023

DFormer: Diffusion-guided Transformer for Universal Image Segmentation.
CoRR, 2023

Transformer-based stereo-aware 3D object detection from binocular images.
CoRR, 2023

LEAPS: End-to-End One-Step Person Search With Learnable Proposals.
CoRR, 2023

Attentive Alignment Network for Multispectral Pedestrian Detection.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

A Spatial-Temporal Deformable Attention Based Framework for Breast Lesion Detection in Videos.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Continuous Seizure Detection Based on Transformer and Long-Term iEEG.
IEEE J. Biomed. Health Informatics, 2022

From Handcrafted to Deep Features for Pedestrian Detection: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Non-linear perceptual multi-scale network for single image super-resolution.
Neural Networks, 2022

Saliency detection network with two-stream encoder and interactive decoder.
Neurocomputing, 2022

PCNet: Paired channel feature volume network for accurate and efficient depth estimation.
Neurocomputing, 2022

Improving 2D object detection with binocular images for outdoor surveillance.
Neurocomputing, 2022

Multi-stream densely connected network for semantic segmentation.
IET Comput. Vis., 2022

Multi-scale Feature Aggregation for Crowd Counting.
CoRR, 2022

3D Vision with Transformers: A Survey.
CoRR, 2022

TransFiner: A Full-Scale Refinement Approach for Multiple Object Tracking.
CoRR, 2022

Learning a Dynamic Cross-Modal Network for Multispectral Pedestrian Detection.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Video Instance Segmentation via Multi-Scale Spatio-Temporal Split Attention Transformer.
Proceedings of the Computer Vision - ECCV 2022, 2022

PSTR: End-to-End One-Step Person Search With Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Illumination-Guided Transformer-Based Network for Multispectral Pedestrian Detection.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021
TJU-DHD: A Diverse High-Resolution Dataset for Object Detection.
IEEE Trans. Image Process., 2021

Improving Single Shot Object Detection With Feature Scale Unmixing.
IEEE Trans. Image Process., 2021

EGFN: Efficient Geometry Feature Network for Fast Stereo 3D Object Detection.
CoRR, 2021

Shape Prior Non-Uniform Sampling Guided Real-time Stereo 3D Object Detection.
CoRR, 2021

An MOEA/D-ACO Algorithm with Finite Pheromone Weights for Bi-objective TTP.
Proceedings of the Data Mining and Big Data - 6th International Conference, 2021

Track To Detect and Segment: An Online Multi-Object Tracker.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Taking a Look at Small-Scale Pedestrians and Occluded Pedestrians.
IEEE Trans. Image Process., 2020

High-Level Semantic Networks for Multi-Scale Object Detection.
IEEE Trans. Circuits Syst. Video Technol., 2020

SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation.
Proceedings of the Computer Vision - ECCV 2020, 2020

NETNet: Neighbor Erasing and Transferring Network for Better Single Shot Object Detection.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

D2Det: Towards High Quality Object Detection and Instance Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
JCS-Net: Joint Classification and Super-Resolution Network for Small-Scale Pedestrian Detection in Surveillance Images.
IEEE Trans. Inf. Forensics Secur., 2019

Hierarchical Shot Detector.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Triply Supervised Decoder Networks for Joint Detection and Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Randomly translational activation inspired by the input distributions of ReLU.
Neurocomputing, 2018

Exploring Multi-Branch and High-Level Semantic Networks for Improving Pedestrian Detection.
CoRR, 2018

2017
Learning Multilayer Channel Features for Pedestrian Detection.
IEEE Trans. Image Process., 2017

Cascade Learning by Optimally Partitioning.
IEEE Trans. Cybern., 2017

Learning Sampling Distributions for Efficient Object Detection.
IEEE Trans. Cybern., 2017

2016
Pedestrian Detection Inspired by Appearance Constancy and Shape Symmetry.
IEEE Trans. Image Process., 2016

2015
Learning Sampling Functions for Efficient Object Detection.
CoRR, 2015


  Loading...