Chenkai Zhang

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2025
A Survey on Remote Sensing Foundation Models: From Vision to Multimodality.
CoRR, March, 2025

KwaiChat: A Large-Scale Video-Driven Multilingual Mixed-Type Dialogue Corpus.
CoRR, March, 2025

Semantic matters: A constrained approach for zero-shot video action recognition.
Pattern Recognit., 2025

Dynamics analysis and DSP implementation of a new four-dimensional discrete memristor hyperchaotic map.
Integr., 2025

A novel 3D hyperchaotic map coupled with discrete tangent memristor: Dynamic analysis, DSP implementation, and image encryption application.
Expert Syst. Appl., 2025

KwaiChat: A Large-Scale Video-Driven Multilingual Mixed-Type Dialogue Corpus.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

SeriesBench: A Benchmark for Narrative-Driven Drama Series Understanding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Sharing Facial Cues at Different Target Positions to Support Virtual Collaboration.
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025

GODBench: A Benchmark for Multimodal Large Language Models in Video Comment Art.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Toward Explainable End-to-End Driving Models via Simplified Objectification Constraints.
IEEE Trans. Intell. Transp. Syst., October, 2024

A dual-branch siamese spatial-spectral transformer attention network for Hyperspectral Image Change Detection.
Expert Syst. Appl., March, 2024

Learning the Color Space for Effective Fabric Defect Detection.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

Frozen is better than learning: A new design of prototype-based classifier for semantic segmentation.
Pattern Recognit., 2024

A cross-modal feature aggregation and enhancement network for hyperspectral and LiDAR joint classification.
Expert Syst. Appl., 2024

A Survey on Data Synthesis and Augmentation for Large Language Models.
CoRR, 2024

Generalizable Semantic Vision Query Generation for Zero-shot Panoptic and Semantic Segmentation.
CoRR, 2024

A Physics-Informed Neural Network Based on the Boltzmann Equation with Multiple-Relaxation-Time Collision Operators.
Axioms, 2024

Whatever could be, could be: Visualizing Future Movement Predictions.
Proceedings of the IEEE Conference Virtual Reality and 3D User Interfaces, 2024

Comprehensive Evaluation of End-to-End Driving Model Explanations for Autonomous Vehicles.
Proceedings of the 19th International Joint Conference on Computer Vision, 2024

Superpowering Emotion Through Multimodal Cues in Collaborative VR.
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2024

Centroid Module for Shaping Feature Space in Semantic Segmentation.
Proceedings of the 2024 3rd Asia Conference on Algorithms, Computing and Machine Learning, 2024

CROCODILE: Crop-Based Contrastive Discriminative Learning for Enhancing Explainability of End-to-End Driving Models.
Proceedings of the Computer Vision - ACCV 2024 Workshops, 2024

2023
Adaptive Fast Image Encryption Algorithm Based on Three-Dimensional Chaotic System.
Entropy, October, 2023

MTHM: Self-Supervised Multitask Anomaly Detection With Hard Example Mining.
IEEE Trans. Instrum. Meas., 2023

Multimodal Transformer Network for Hyperspectral and LiDAR Classification.
IEEE Trans. Geosci. Remote. Sens., 2023

A fast piecewise image encryption scheme combining NC1DNSM and P-Box.
Integr., 2023

CLIP Is Also a Good Teacher: A New Learning Framework for Inductive Zero-shot Semantic Segmentation.
CoRR, 2023

More Persuasive Explanation Method for End-to-End Driving Models.
IEEE Access, 2023

Refined Objectification for Improving End-to-End Driving Model Explanation Persuasibility<sup>*</sup>.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Adapting Generic Features to A Specific Task: A Large Discrepancy Knowledge Distillation for Image Anomaly Detection.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

2021
A Machine Learning-Based Approach to Analyze Information Used for Steering Control.
IEEE Access, 2021

Evaluation of visualization performance of CNN models using driver model.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2021

Improving Visual Search Tasks by Bending the Virtual City Twins: A Preliminary Study in Virtual Reality.
Proceedings of the OzCHI '21: 33rd Australian Conference on Human-Computer Interaction, Melbourne, VI, Australia, 30 November 2021, 2021

2020
ZJU-Leaper: A Benchmark Dataset for Fabric Defect Detection and a Comparative Study.
IEEE Trans. Artif. Intell., 2020


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