Haoping Bai

According to our database1, Haoping Bai authored at least 19 papers between 2017 and 2024.

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

Timeline

2017
2018
2019
2020
2021
2022
2023
2024
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Synth4Seg - Learning Defect Data Synthesis for Defect Segmentation using Bi-level Optimization.
CoRR, 2024

TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights.
CoRR, 2024

MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains.
CoRR, 2024

Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation.
CoRR, 2024

Empowering Unsupervised Domain Adaptation with Large-scale Pre-trained Vision-Language Models.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

VeCLIP: Improving CLIP Training via Visual-Enriched Captions.
Proceedings of the Computer Vision - ECCV 2024, 2024

Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
From Scarcity to Efficiency: Improving CLIP Training via Visual-enriched Captions.
CoRR, 2023

VISION Datasets: A Benchmark for Vision-based InduStrial InspectiON.
CoRR, 2023

RGI: robust GAN-inversion for mask-free image inpainting and unsupervised pixel-wise anomaly detection.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
PAEDID: Patch Autoencoder Based Deep Image Decomposition For Pixel-level Defective Region Segmentation.
CoRR, 2022

Analyzing Material Recognition Performance of Thermal Tactile Sensing using a Large Materials Database and a Real Robot.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

2021
Self-supervised Semi-supervised Learning for Data Labeling and Quality Evaluation.
CoRR, 2021

BatchQuant: Quantized-for-all Architecture Search with Robust Quantizer.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection.
Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

2020
SUOD: Toward Scalable Unsupervised Outlier Detection.
CoRR, 2020

MTL-NAS: Task-Agnostic Neural Architecture Search Towards General-Purpose Multi-Task Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018
Towards Material Classification of Scenes Using Active Thermography.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017
A Model that Predicts the Material Recognition Performance of Thermal Tactile Sensing.
CoRR, 2017


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