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Haoping Bai
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2020 – today
- 2024
- [c7]Zhengfeng Lai, Haoping Bai, Haotian Zhang, Xianzhi Du, Jiulong Shan, Yinfei Yang, Chen-Nee Chuah, Meng Cao:
Empowering Unsupervised Domain Adaptation with Large-scale Pre-trained Vision-Language Models. WACV 2024: 2679-2689 - [i10]Aiwei Liu, Haoping Bai, Zhiyun Lu, Xiang Kong, Simon Wang, Jiulong Shan, Meng Cao, Lijie Wen
:
Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation. CoRR abs/2402.11907 (2024) - 2023
- [c6]Shancong Mou, Xiaoyi Gu, Meng Cao, Haoping Bai, Ping Huang, Jiulong Shan, Jianjun Shi:
RGI: robust GAN-inversion for mask-free image inpainting and unsupervised pixel-wise anomaly detection. ICLR 2023 - [i9]Shancong Mou, Xiaoyi Gu, Meng Cao, Haoping Bai, Ping Huang, Jiulong Shan, Jianjun Shi:
RGI: robust GAN-inversion for mask-free image inpainting and unsupervised pixel-wise anomaly detection. CoRR abs/2302.12464 (2023) - [i8]Haoping Bai, Shancong Mou, Tatiana Likhomanenko, Ramazan Gokberk Cinbis, Oncel Tuzel, Ping Huang, Jiulong Shan, Jianjun Shi, Meng Cao:
VISION Datasets: A Benchmark for Vision-based InduStrial InspectiON. CoRR abs/2306.07890 (2023) - [i7]Zhengfeng Lai, Haotian Zhang, Wentao Wu, Haoping Bai, Aleksei Timofeev, Xianzhi Du, Zhe Gan, Jiulong Shan, Chen-Nee Chuah, Yinfei Yang, Meng Cao:
From Scarcity to Efficiency: Improving CLIP Training via Visual-enriched Captions. CoRR abs/2310.07699 (2023) - 2022
- [c5]Haoping Bai, Haofeng Chen, Elizabeth Healy, Charles C. Kemp, Tapomayukh Bhattacharjee:
Analyzing Material Recognition Performance of Thermal Tactile Sensing using a Large Materials Database and a Real Robot. ROBIO 2022: 2255-2262 - [i6]Shancong Mou, Meng Cao, Haoping Bai, Ping Huang, Jianjun Shi, Jiulong Shan:
PAEDID: Patch Autoencoder Based Deep Image Decomposition For Pixel-level Defective Region Segmentation. CoRR abs/2203.14457 (2022) - 2021
- [c4]Yue Zhao, Xiyang Hu, Cheng Cheng, Cong Wang, Changlin Wan, Wen Wang, Jianing Yang, Haoping Bai, Zheng Li, Cao Xiao, Yunlong Wang, Zhi Qiao, Jimeng Sun, Leman Akoglu:
SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection. MLSys 2021 - [c3]Haoping Bai, Meng Cao, Ping Huang, Jiulong Shan:
BatchQuant: Quantized-for-all Architecture Search with Robust Quantizer. NeurIPS 2021: 1074-1085 - [i5]Haoping Bai, Meng Cao, Ping Huang, Jiulong Shan:
BatchQuant: Quantized-for-all Architecture Search with Robust Quantizer. CoRR abs/2105.08952 (2021) - [i4]Haoping Bai, Meng Cao, Ping Huang, Jiulong Shan:
Self-supervised Semi-supervised Learning for Data Labeling and Quality Evaluation. CoRR abs/2111.10932 (2021) - 2020
- [c2]Yuan Gao, Haoping Bai, Zequn Jie, Jiayi Ma, Kui Jia, Wei Liu
:
MTL-NAS: Task-Agnostic Neural Architecture Search Towards General-Purpose Multi-Task Learning. CVPR 2020: 11540-11549 - [i3]Yue Zhao
, Xueying Ding, Jianing Yang
, Haoping Bai:
SUOD: Toward Scalable Unsupervised Outlier Detection. CoRR abs/2002.03222 (2020) - [i2]Yuan Gao, Haoping Bai, Zequn Jie, Jiayi Ma, Kui Jia, Wei Liu:
MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning. CoRR abs/2003.14058 (2020)
2010 – 2019
- 2018
- [c1]Haoping Bai, Tapomayukh Bhattacharjee, Haofeng Chen, Ariel Kapusta, Charles C. Kemp:
Towards Material Classification of Scenes Using Active Thermography. IROS 2018: 4262-4269 - 2017
- [i1]Tapomayukh Bhattacharjee, Haoping Bai, Haofeng Chen, Charles C. Kemp:
A Model that Predicts the Material Recognition Performance of Thermal Tactile Sensing. CoRR abs/1711.01490 (2017)
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last updated on 2024-08-05 21:16 CEST by the dblp team
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