Cheng Zhang
Orcid: 0009-0003-6255-7648Affiliations:
- Texas A&M University, Department of Computer Science & Engineering, College Station, TX, USA (since 2024)
- Carnegie Mellon University, Pittsburgh, PA, USA (2022-2024)
- Ohio State University, Department of Computer Science and Engineering, Columbus, OH, USA (2017-2022)
According to our database1,
Cheng Zhang authored at least 31 papers
between 2016 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
TaxaAdapter: Vision Taxonomy Models are Key to Fine-grained Image Generation over the Tree of Life.
CoRR, March, 2026
From Blurry to Believable: Enhancing Low-quality Talking Heads with 3D Generative Priors.
CoRR, February, 2026
2025
Continual Unlearning for Text-to-Image Diffusion Models: A Regularization Perspective.
CoRR, November, 2025
GarmentCrafter: Progressive Novel View Synthesis for Single-View 3D Garment Reconstruction and Editing.
CoRR, March, 2025
Integrating Learning-Based Manipulation and Physics-Based Locomotion for Whole-Body Badminton Robot Control.
Proceedings of the IEEE International Conference on Robotics and Automation, 2025
Taxadiffusion: Progressively Trained Diffusion Model for Fine-Grained Species Generation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025
2024
FabricDiffusion: High-Fidelity Texture Transfer for 3D Garments Generation from In-The-Wild Clothing Images.
CoRR, 2024
EVALALIGN: Supervised Fine-Tuning Multimodal LLMs with Human-Aligned Data for Evaluating Text-to-Image Models.
CoRR, 2024
FabricDiffusion: High-Fidelity Texture Transfer for 3D Garments Generation from In-The-Wild Images.
Proceedings of the SIGGRAPH Asia 2024 Conference Papers, 2024
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024
An Empirical Study and Analysis of Text-to-Image Generation Using Large Language Model-Powered Textual Representation.
Proceedings of the Computer Vision - ECCV 2024, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
Towards Effective Usage of Human-Centric Priors in Diffusion Models for Text-based Human Image Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
High Confid. Comput., June, 2021
A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection.
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Discovering the Unknown Knowns: Turning Implicit Knowledge in the Dataset into Explicit Training Examples for Visual Question Answering.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
2020
CoRR, 2020
Thoracic Disease Identification and Localization using Distance Learning and Region Verification.
Proceedings of the 31st British Machine Vision Conference 2020, 2020
2019
Proceedings of the 30th British Machine Vision Conference 2019, 2019
2018
Learning Efficient Spatial-Temporal Gait Features with Deep Learning for Human Identification.
Neuroinformatics, 2018
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018
2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016