Qing Lian

According to our database, Qing Lian authored at least 26 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

OmniBooth: Learning Latent Control for Image Synthesis with Multi-modal Instruction.

Leheng Li, Weichao Qiu, Xu Yan, Jing He, Kaiqiang Zhou, Yingjie Cai, Qing Lian, Bingbing Liu, Ying-Cong Chen

CoRR, 2024

SyntheOcc: Synthesize Geometric-Controlled Street View Images through 3D Semantic MPIs.

Leheng Li, Weichao Qiu, Yingjie Cai, Xu Yan, Qing Lian, Bingbing Liu, Ying-Cong Chen

CoRR, 2024

The Instinctive Bias: Spurious Images lead to Hallucination in MLLMs.

Tianyang Han, Qing Lian, Rui Pan, Renjie Pi, Jipeng Zhang, Shizhe Diao, Yong Lin, Tong Zhang

CoRR, 2024

MLLM-Protector: Ensuring MLLM's Safety without Hurting Performance.

Renjie Pi, Tianyang Han, Yueqi Xie, Rui Pan, Qing Lian, Hanze Dong, Jipeng Zhang, Tong Zhang

CoRR, 2024

R-Tuning: Instructing Large Language Models to Say 'I Don't Know'.

Hanning Zhang, Shizhe Diao, Yong Lin, Yi R. Fung, Qing Lian, Xingyao Wang, Yangyi Chen, Heng Ji, Tong Zhang

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

MEDL-U: Uncertainty-aware 3D Automatic Annotation based on Evidential Deep Learning.

Helbert Paat, Qing Lian, Weilong Yao, Tong Zhang

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

MLLM-Protector: Ensuring MLLM's Safety without Hurting Performance.

Renjie Pi, Tianyang Han, Jianshu Zhang, Yueqi Xie, Rui Pan, Qing Lian, Hanze Dong, Jipeng Zhang, Tong Zhang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

The Instinctive Bias: Spurious Images lead to Illusion in MLLMs.

Tianyang Han, Qing Lian, Rui Pan, Renjie Pi, Jipeng Zhang, Shizhe Diao, Yong Lin, Tong Zhang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

R-Tuning: Teaching Large Language Models to Refuse Unknown Questions.

Hanning Zhang, Shizhe Diao, Yong Lin, Yi R. Fung, Qing Lian, Xingyao Wang, Yangyi Chen, Heng Ji, Tong Zhang

CoRR, 2023

Towards Generalizable Multi-Camera 3D Object Detection via Perspective Debiasing.

Hao Lu, Yunpeng Zhang, Qing Lian, Dalong Du, Yingcong Chen

CoRR, 2023

MEDL-U: Uncertainty-aware 3D Automatic Annotator based on Evidential Deep Learning.

Helbert Paat, Qing Lian, Weilong Yao, Tong Zhang

CoRR, 2023

Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning.

Yong Lin, Chen Liu, Chenlu Ye, Qing Lian, Yuan Yao, Tong Zhang

CoRR, 2023

Adv3D: Generating 3D Adversarial Examples in Driving Scenarios with NeRF.

Leheng Li, Qing Lian, Ying-Cong Chen

CoRR, 2023

Lift3D: Synthesize 3D Training Data by Lifting 2D GAN to 3D Generative Radiance Field.

Leheng Li, Qing Lian, Luozhou Wang, Ningning Ma, Yingcong Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DORT: Modeling Dynamic Objects in Recurrent for Multi-Camera 3D Object Detection and Tracking.

Qing Lian, Tai Wang, Dahua Lin, Jiangmiao Pang

Proceedings of the Conference on Robot Learning, 2023

2022

Weakly Supervised Disentangled Generative Causal Representation Learning.

Xinwei Shen, Furui Liu, Hanze Dong, Qing Lian, Zhitang Chen, Tong Zhang

J. Mach. Learn. Res., 2022

MV-FCOS3D++: Multi-View Camera-Only 4D Object Detection with Pretrained Monocular Backbones.

Tai Wang, Qing Lian, Chenming Zhu, Xinge Zhu, Wenwei Zhang

CoRR, 2022

Semi-supervised Monocular 3D Object Detection by Multi-view Consistency.

Qing Lian, Yanbo Xu, Weilong Yao, Yingcong Chen, Tong Zhang

Proceedings of the Computer Vision - ECCV 2022, 2022

Exploring Geometric Consistency for Monocular 3D Object Detection.

Qing Lian, Botao Ye, Ruijia Xu, Weilong Yao, Tong Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

MonoJSG: Joint Semantic and Geometric Cost Volume for Monocular 3D Object Detection.

Qing Lian, Peiliang Li, Xiaozhi Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Contrastive ACE: Domain Generalization Through Alignment of Causal Mechanisms.

Yunqi Wang, Furui Liu, Zhitang Chen, Qing Lian, Shoubo Hu, Jianye Hao, Yik-Chung Wu

CoRR, 2021

Geometry-aware data augmentation for monocular 3D object detection.

Qing Lian, Botao Ye, Ruijia Xu, Weilong Yao, Tong Zhang

CoRR, 2021

2020

Disentangled Generative Causal Representation Learning.

Xinwei Shen, Furui Liu, Hanze Dong, Qing Lian, Zhitang Chen, Tong Zhang

CoRR, 2020

2019

Known-class Aware Self-ensemble for Open Set Domain Adaptation.

Qing Lian, Wen Li, Lin Chen, Lixin Duan

CoRR, 2019

Constructing Self-Motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach.

Qing Lian, Lixin Duan, Fengmao Lv, Boqing Gong

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Domain Adaptive Semantic Segmentation Through Structure Enhancement.

Fengmao Lv, Qing Lian, Guowu Yang, Guosheng Lin, Sinno Jialin Pan, Lixin Duan

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018