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Qing Lian
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2020 – today
- 2024
- [c9]Helbert Paat, Qing Lian, Weilong Yao, Tong Zhang:
MEDL-U: Uncertainty-aware 3D Automatic Annotation based on Evidential Deep Learning. ICRA 2024: 13976-13982 - [c8]Hanning Zhang, Shizhe Diao, Yong Lin, Yi R. Fung, Qing Lian, Xingyao Wang, Yangyi Chen, Heng Ji, Tong Zhang:
R-Tuning: Instructing Large Language Models to Say 'I Don't Know'. NAACL-HLT 2024: 7113-7139 - [i16]Renjie Pi, Tianyang Han, Yueqi Xie, Rui Pan, Qing Lian, Hanze Dong, Jipeng Zhang, Tong Zhang:
MLLM-Protector: Ensuring MLLM's Safety without Hurting Performance. CoRR abs/2401.02906 (2024) - [i15]Tianyang Han, Qing Lian, Rui Pan, Renjie Pi, Jipeng Zhang, Shizhe Diao, Yong Lin, Tong Zhang:
The Instinctive Bias: Spurious Images lead to Hallucination in MLLMs. CoRR abs/2402.03757 (2024) - 2023
- [c7]Qing Lian, Tai Wang, Dahua Lin, Jiangmiao Pang:
DORT: Modeling Dynamic Objects in Recurrent for Multi-Camera 3D Object Detection and Tracking. CoRL 2023: 3749-3765 - [c6]Leheng Li, Qing Lian, Luozhou Wang, Ningning Ma, Yingcong Chen:
Lift3D: Synthesize 3D Training Data by Lifting 2D GAN to 3D Generative Radiance Field. CVPR 2023: 332-341 - [i14]Qing Lian, Tai Wang, Dahua Lin, Jiangmiao Pang:
DORT: Modeling Dynamic Objects in Recurrent for Multi-Camera 3D Object Detection and Tracking. CoRR abs/2303.16628 (2023) - [i13]Leheng Li, Qing Lian, Luozhou Wang, Ningning Ma, Yingcong Chen:
Lift3D: Synthesize 3D Training Data by Lifting 2D GAN to 3D Generative Radiance Field. CoRR abs/2304.03526 (2023) - [i12]Leheng Li, Qing Lian, Ying-Cong Chen:
Adv3D: Generating 3D Adversarial Examples in Driving Scenarios with NeRF. CoRR abs/2309.01351 (2023) - [i11]Yong Lin, Chen Liu, Chenlu Ye, Qing Lian, Yuan Yao, Tong Zhang:
Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning. CoRR abs/2309.02476 (2023) - [i10]Helbert Paat, Qing Lian, Weilong Yao, Tong Zhang:
MEDL-U: Uncertainty-aware 3D Automatic Annotator based on Evidential Deep Learning. CoRR abs/2309.09599 (2023) - [i9]Hao Lu, Yunpeng Zhang, Qing Lian, Dalong Du, Yingcong Chen:
Towards Generalizable Multi-Camera 3D Object Detection via Perspective Debiasing. CoRR abs/2310.11346 (2023) - [i8]Hanning Zhang, Shizhe Diao, Yong Lin, Yi R. Fung, Qing Lian, Xingyao Wang, Yangyi Chen, Heng Ji, Tong Zhang:
R-Tuning: Teaching Large Language Models to Refuse Unknown Questions. CoRR abs/2311.09677 (2023) - 2022
- [j1]Xinwei Shen, Furui Liu, Hanze Dong, Qing Lian, Zhitang Chen, Tong Zhang:
Weakly Supervised Disentangled Generative Causal Representation Learning. J. Mach. Learn. Res. 23: 241:1-241:55 (2022) - [c5]Qing Lian, Peiliang Li, Xiaozhi Chen:
MonoJSG: Joint Semantic and Geometric Cost Volume for Monocular 3D Object Detection. CVPR 2022: 1060-1069 - [c4]Qing Lian, Botao Ye, Ruijia Xu, Weilong Yao, Tong Zhang:
Exploring Geometric Consistency for Monocular 3D Object Detection. CVPR 2022: 1675-1684 - [c3]Qing Lian, Yanbo Xu, Weilong Yao, Yingcong Chen, Tong Zhang:
Semi-supervised Monocular 3D Object Detection by Multi-view Consistency. ECCV (8) 2022: 715-731 - [i7]Qing Lian, Peiliang Li, Xiaozhi Chen:
MonoJSG: Joint Semantic and Geometric Cost Volume for Monocular 3D Object Detection. CoRR abs/2203.08563 (2022) - [i6]Tai Wang, Qing Lian, Chenming Zhu, Xinge Zhu, Wenwei Zhang:
MV-FCOS3D++: Multi-View Camera-Only 4D Object Detection with Pretrained Monocular Backbones. CoRR abs/2207.12716 (2022) - 2021
- [i5]Qing Lian, Botao Ye, Ruijia Xu, Weilong Yao, Tong Zhang:
Geometry-aware data augmentation for monocular 3D object detection. CoRR abs/2104.05858 (2021) - [i4]Yunqi Wang, Furui Liu, Zhitang Chen, Qing Lian, Shoubo Hu, Jianye Hao, Yik-Chung Wu:
Contrastive ACE: Domain Generalization Through Alignment of Causal Mechanisms. CoRR abs/2106.00925 (2021) - 2020
- [i3]Xinwei Shen, Furui Liu, Hanze Dong, Qing Lian, Zhitang Chen, Tong Zhang:
Disentangled Generative Causal Representation Learning. CoRR abs/2010.02637 (2020)
2010 – 2019
- 2019
- [c2]Qing Lian, Lixin Duan, Fengmao Lv, Boqing Gong:
Constructing Self-Motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach. ICCV 2019: 6757-6766 - [i2]Qing Lian, Wen Li, Lin Chen, Lixin Duan:
Known-class Aware Self-ensemble for Open Set Domain Adaptation. CoRR abs/1905.01068 (2019) - [i1]Qing Lian, Fengmao Lv, Lixin Duan, Boqing Gong:
Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach. CoRR abs/1908.09547 (2019) - 2018
- [c1]Fengmao Lv, Qing Lian, Guowu Yang, Guosheng Lin, Sinno Jialin Pan, Lixin Duan:
Domain Adaptive Semantic Segmentation Through Structure Enhancement. ECCV Workshops (2) 2018: 172-179
Coauthor Index
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last updated on 2024-10-07 21:17 CEST by the dblp team
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