Cheng Zhang

Affiliations:
  • 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 24 papers between 2016 and 2024.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
FabricDiffusion: High-Fidelity Texture Transfer for 3D Garments Generation from In-The-Wild Clothing Images.
CoRR, 2024

Visual Data Diagnosis and Debiasing with Concept Graphs.
CoRR, 2024

EVALALIGN: Supervised Fine-Tuning Multimodal LLMs with Human-Aligned Data for Evaluating Text-to-Image Models.
CoRR, 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

Generalizable Human Gaussians for Sparse View Synthesis.
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
OVO: Open-Vocabulary Occupancy.
CoRR, 2023

ITI-Gen: Inclusive Text-to-Image Generation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Learning with Free Object Segments for Long-Tailed Instance Segmentation.
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
WLAN-Log-Based Superspreader Detection in the COVID-19 Pandemic.
CoRR, 2021

A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection.
CoRR, 2021

On Model Calibration for Long-Tailed Object Detection and Instance Segmentation.
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
ACOUSTIC-TURF: Acoustic-based Privacy-Preserving COVID-19 Contact Tracing.
CoRR, 2020

Thoracic Disease Identification and Localization using Distance Learning and Region Verification.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019
An Empirical Study on Leveraging Scene Graphs for Visual Question Answering.
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

Third-Eye: A Mobilephone-Enabled Crowdsensing System for Air Quality Monitoring.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

MV-Sports: A Motion and Vision Sensor Integration-Based Sports Analysis System.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

2016
Outdoor Air Quality Level Inference via Surveillance Cameras.
Mob. Inf. Syst., 2016

Scene-free multi-class weather classification on single images.
Neurocomputing, 2016

Siamese neural network based gait recognition for human identification.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016


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