Qing Lian - RankMe

37 papers A* 9A 1Misc 1Journal 23Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Toward Deep Representation Learning for Event-Enhanced Visual Autonomous Perception: The eAP Dataset. IEEE Trans. Robotics Jinghang Li, Shichao Li, Qing Lian, Peiliang Li, Xiaozhi Chen, Yi Zhou
2026	J	`jnl`	Toward Deep Representation Learning for Event-Enhanced Visual Autonomous Perception: the eAP Dataset. CoRR Jinghang Li, Shichao Li, Qing Lian, Peiliang Li, Xiaozhi Chen, Yi Zhou
2025	A*	`conf`	Learning Better Representations for Crowded Pedestrians in Offboard LiDAR-Camera 3D Tracking-by-detection. ICRA Shichao Li, Peiliang Li, Qing Lian, Peng Yun, Xiaozhi Chen
2025	J	`jnl`	Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection. CoRR Shichao Li, Peiliang Li, Qing Lian, Peng Yun, Xiaozhi Chen
2025	J	`jnl`	Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning. J. Mach. Learn. Res. Yong Lin, Chen Liu, Chenlu Ye, Qing Lian, Yuan Yao, Tong Zhang
2025	A*	`conf`	Towards Generalizable Multi-Camera 3D Object Detection via Perspective Rendering. AAAI Hao Lu, Yunpeng Zhang, Guoqing Wang, Qing Lian, Dalong Du, Ying-Cong Chen
2024	A	`conf`	Adv3D: Generating 3D Adversarial Examples for 3D Object Detection in Driving Scenarios with NeRF. IROS Leheng Li, Qing Lian, Ying-Cong Chen
2024	A*	`conf`	MEDL-U: Uncertainty-aware 3D Automatic Annotation based on Evidential Deep Learning. ICRA Helbert Paat, Qing Lian, Weilong Yao, Tong Zhang
2024	A*	`conf`	MLLM-Protector: Ensuring MLLM's Safety without Hurting Performance. EMNLP Renjie Pi, Tianyang Han, Jianshu Zhang, Yueqi Xie, Rui Pan, Qing Lian, Hanze Dong, Jipeng Zhang, Tong Zhang
2024	J	`jnl`	MLLM-Protector: Ensuring MLLM's Safety without Hurting Performance. CoRR Renjie Pi, Tianyang Han, Yueqi Xie, Rui Pan, Qing Lian, Hanze Dong, Jipeng Zhang, Tong Zhang
2024	J	`jnl`	OmniBooth: Learning Latent Control for Image Synthesis with Multi-modal Instruction. CoRR Leheng Li, Weichao Qiu, Xu Yan, Jing He, Kaiqiang Zhou, Yingjie Cai, Qing Lian, Bingbing Liu, Ying-Cong Chen
2024	—	`conf`	R-Tuning: Instructing Large Language Models to Say 'I Don't Know'. NAACL-HLT Hanning Zhang, Shizhe Diao, Yong Lin, Yi R. Fung, Qing Lian, Xingyao Wang, Yangyi Chen, Heng Ji, Tong Zhang
2024	J	`jnl`	SyntheOcc: Synthesize Geometric-Controlled Street View Images through 3D Semantic MPIs. CoRR Leheng Li, Weichao Qiu, Yingjie Cai, Xu Yan, Qing Lian, Bingbing Liu, Ying-Cong Chen
2024	J	`jnl`	The Instinctive Bias: Spurious Images lead to Hallucination in MLLMs. CoRR Tianyang Han, Qing Lian, Rui Pan, Renjie Pi, Jipeng Zhang, Shizhe Diao, Yong Lin, Tong Zhang
2024	A*	`conf`	The Instinctive Bias: Spurious Images lead to Illusion in MLLMs. EMNLP Tianyang Han, Qing Lian, Rui Pan, Renjie Pi, Jipeng Zhang, Shizhe Diao, Yong Lin, Tong Zhang
2023	J	`jnl`	Adv3D: Generating 3D Adversarial Examples in Driving Scenarios with NeRF. CoRR Leheng Li, Qing Lian, Ying-Cong Chen
2023	Misc	`conf`	DORT: Modeling Dynamic Objects in Recurrent for Multi-Camera 3D Object Detection and Tracking. CoRL Qing Lian, Tai Wang, Dahua Lin, Jiangmiao Pang
2023	J	`jnl`	DORT: Modeling Dynamic Objects in Recurrent for Multi-Camera 3D Object Detection and Tracking. CoRR Qing Lian, Tai Wang, Dahua Lin, Jiangmiao Pang
2023	A*	`conf`	Lift3D: Synthesize 3D Training Data by Lifting 2D GAN to 3D Generative Radiance Field. CVPR Leheng Li, Qing Lian, Luozhou Wang, Ningning Ma, Yingcong Chen
2023	J	`jnl`	Lift3D: Synthesize 3D Training Data by Lifting 2D GAN to 3D Generative Radiance Field. CoRR Leheng Li, Qing Lian, Luozhou Wang, Ningning Ma, Yingcong Chen
2023	J	`jnl`	MEDL-U: Uncertainty-aware 3D Automatic Annotator based on Evidential Deep Learning. CoRR Helbert Paat, Qing Lian, Weilong Yao, Tong Zhang
2023	J	`jnl`	Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning. CoRR Yong Lin, Chen Liu, Chenlu Ye, Qing Lian, Yuan Yao, Tong Zhang
2023	J	`jnl`	R-Tuning: Teaching Large Language Models to Refuse Unknown Questions. CoRR Hanning Zhang, Shizhe Diao, Yong Lin, Yi R. Fung, Qing Lian, Xingyao Wang, Yangyi Chen, Heng Ji, Tong Zhang
2023	J	`jnl`	Towards Generalizable Multi-Camera 3D Object Detection via Perspective Debiasing. CoRR Hao Lu, Yunpeng Zhang, Qing Lian, Dalong Du, Yingcong Chen
2022	A*	`conf`	Exploring Geometric Consistency for Monocular 3D Object Detection. CVPR Qing Lian, Botao Ye, Ruijia Xu, Weilong Yao, Tong Zhang
2022	J	`jnl`	MV-FCOS3D++: Multi-View Camera-Only 4D Object Detection with Pretrained Monocular Backbones. CoRR Tai Wang, Qing Lian, Chenming Zhu, Xinge Zhu, Wenwei Zhang
2022	A*	`conf`	MonoJSG: Joint Semantic and Geometric Cost Volume for Monocular 3D Object Detection. CVPR Qing Lian, Peiliang Li, Xiaozhi Chen
2022	J	`jnl`	MonoJSG: Joint Semantic and Geometric Cost Volume for Monocular 3D Object Detection. CoRR Qing Lian, Peiliang Li, Xiaozhi Chen
2022	—	`conf`	Semi-supervised Monocular 3D Object Detection by Multi-view Consistency. ECCV (8) Qing Lian, Yanbo Xu, Weilong Yao, Yingcong Chen, Tong Zhang
2022	J	`jnl`	Weakly Supervised Disentangled Generative Causal Representation Learning. J. Mach. Learn. Res. Xinwei Shen, Furui Liu, Hanze Dong, Qing Lian, Zhitang Chen, Tong Zhang
2021	J	`jnl`	Contrastive ACE: Domain Generalization Through Alignment of Causal Mechanisms. CoRR Yunqi Wang, Furui Liu, Zhitang Chen, Qing Lian, Shoubo Hu, Jianye Hao, Yik-Chung Wu
2021	J	`jnl`	Geometry-aware data augmentation for monocular 3D object detection. CoRR Qing Lian, Botao Ye, Ruijia Xu, Weilong Yao, Tong Zhang
2020	J	`jnl`	Disentangled Generative Causal Representation Learning. CoRR Xinwei Shen, Furui Liu, Hanze Dong, Qing Lian, Zhitang Chen, Tong Zhang
2019	A*	`conf`	Constructing Self-Motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach. ICCV Qing Lian, Lixin Duan, Fengmao Lv, Boqing Gong
2019	J	`jnl`	Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach. CoRR Qing Lian, Fengmao Lv, Lixin Duan, Boqing Gong
2019	J	`jnl`	Known-class Aware Self-ensemble for Open Set Domain Adaptation. CoRR Qing Lian, Wen Li, Lin Chen, Lixin Duan
2018	—	`conf`	Domain Adaptive Semantic Segmentation Through Structure Enhancement. ECCV Workshops (2) Fengmao Lv, Qing Lian, Guowu Yang, Guosheng Lin, Sinno Jialin Pan, Lixin Duan