Shiyu Zhao

Orcid: 0000-0002-4978-725X

Affiliations:
  • Meta
  • Rutgers University, Piscataway, NJ, USA


According to our database1, Shiyu Zhao authored at least 20 papers between 2018 and 2025.

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Bibliography

2025
LED: LLM Enhanced Open-Vocabulary Object Detection without Human Curated Data Generation.
CoRR, March, 2025

APEER : Automatic Prompt Engineering Enhances Large Language Model Reranking.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model Adaptation.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Accelerating Multimodal Large Language Models by Searching Optimal Vision Token Reduction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

MLLM-as-a-Judge for Image Safety without Human Labeling.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Token-Budget-Aware LLM Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Taming Self-Training for Open-Vocabulary Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Generating Enhanced Negatives for Training Language-Based Object Detectors.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

AIDE: An Automatic Data Engine for Object Detection in Autonomous Driving.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Improving Pseudo Labels for Open-Vocabulary Object Detection.
CoRR, 2023

OmniLabel: A Challenging Benchmark for Language-Based Object Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Exploiting Unlabeled Data with Vision and Language Models for Object Detection.
Proceedings of the Computer Vision - ECCV 2022, 2022

Global Matching with Overlapping Attention for Optical Flow Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
RefineDNet: A Weakly Supervised Refinement Framework for Single Image Dehazing.
IEEE Trans. Image Process., 2021

Simulation of Atmospheric Visibility Impairment.
IEEE Trans. Image Process., 2021

Deep Animation Video Interpolation in the Wild.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Dehazing Evaluation: Real-World Benchmark Datasets, Criteria, and Baselines.
IEEE Trans. Image Process., 2020

2019
Super-Resolution for Monocular Depth Estimation With Multi-Scale Sub-Pixel Convolutions and a Smoothness Constraint.
IEEE Access, 2019

Evaluation of Defogging: A Real-World Benchmark Dataset, A New Criterion and Baselines.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

2018
A CNN-Based Depth Estimation Approach with Multi-scale Sub-pixel Convolutions and a Smoothness Constraint.
Proceedings of the Computer Vision - ACCV 2018, 2018


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