Renjing Xu

According to our database, Renjing Xu authored at least 24 papers between 2022 and 2024.

Collaborative distances:

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

2024

TriHelper: Zero-Shot Object Navigation with Dynamic Assistance.

Lingfeng Zhang, Qiang Zhang, Hao Wang, Erjia Xiao, Zixuan Jiang, Honglei Chen, Renjing Xu

CoRR, 2024

Spiking Wavelet Transformer.

Yuetong Fang, Ziqing Wang, Lingfeng Zhang, Jiahang Cao, Honglei Chen, Renjing Xu

CoRR, 2024

EventRPG: Event Data Augmentation with Relevance Propagation Guidance.

Mingyuan Sun, Donghao Zhang, Zongyuan Ge, Jiaxu Wang, Jia Li, Zheng Fang, Renjing Xu

CoRR, 2024

Decode Neural signal as Speech.

Yiqian Yang, Yiqun Duan, Qiang Zhang, Renjing Xu, Hui Xiong

CoRR, 2024

Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Model.

Hao Cheng, Erjia Xiao, Jindong Gu, Le Yang, Jinhao Duan, Jize Zhang, Jiahang Cao, Kaidi Xu, Renjing Xu

CoRR, 2024

Whole-body Humanoid Robot Locomotion with Human Reference.

Qiang Zhang, Peter Cui, David Yan, Jingkai Sun, Yiqun Duan, Arthur Zhang, Renjing Xu

CoRR, 2024

Physical Priors Augmented Event-Based 3D Reconstruction.

Jiaxu Wang, Junhao He, Ziyi Zhang, Renjing Xu

CoRR, 2024

Learning Robust Generalizable Radiance Field with Visibility and Feature Augmented Point Representation.

Jiaxu Wang, Ziyi Zhang, Renjing Xu

CoRR, 2024

Spiking Denoising Diffusion Probabilistic Models.

Jiahang Cao, Ziqing Wang, Hanzhong Guo, Hao Cheng, Qiang Zhang, Renjing Xu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Learning to Generate and Manipulate 3D Radiance Field by a Hierarchical Diffusion Framework with CLIP Latent.

Jiaxu Wang, Ziyi Zhang, Renjing Xu

Comput. Graph. Forum, October, 2023

Contrastive pre-training and linear interaction attention-based transformer for universal medical reports generation.

Zhihong Lin, Donghao Zhang, Danli Shi, Renjing Xu, Qingyi Tao, Lin Wu, Mingguang He, Zongyuan Ge

J. Biomed. Informatics, February, 2023

Bursting Spikes: Efficient and High-performance SNNs for Event-based Vision.

Ziqing Wang, Yuetong Fang, Jiahang Cao, Renjing Xu

CoRR, 2023

ACT: Adversarial Consistency Models.

Fei Kong, Jinhao Duan, Lichao Sun, Hao Cheng, Renjing Xu, Hengtao Shen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu

CoRR, 2023

Pursing the Sparse Limitation of Spiking Deep Learning Structures.

Hao Cheng, Jiahang Cao, Erjia Xiao, Mengshu Sun, Le Yang, Jize Zhang, Xue Lin, Bhavya Kailkhura, Kaidi Xu, Renjing Xu

CoRR, 2023

Fully Spiking Neural Network for Legged Robots.

Xiaoyang Jiang, Qiang Zhang, Jingkai Sun, Renjing Xu

CoRR, 2023

Gaining the Sparse Rewards by Exploring Binary Lottery Tickets in Spiking Neural Network.

Hao Cheng, Jiahang Cao, Erjia Xiao, Pu Zhao, Mengshu Sun, Jiaxu Wang, Jize Zhang, Xue Lin, Bhavya Kailkhura, Kaidi Xu, Renjing Xu

CoRR, 2023

RBFormer: Improve Adversarial Robustness of Transformer by Robust Bias.

Hao Cheng, Jinhao Duan, Hui Li, Lyutianyang Zhang, Jiahang Cao, Ping Wang, Jize Zhang, Kaidi Xu, Renjing Xu

CoRR, 2023

Prompt, Plan, Perform: LLM-based Humanoid Control via Quantized Imitation Learning.

Jingkai Sun, Qiang Zhang, Yiqun Duan, Xiaoyang Jiang, Chong Cheng, Renjing Xu

CoRR, 2023

Chasing Day and Night: Towards Robust and Efficient All-Day Object Detection Guided by an Event Camera.

Jiahang Cao, Xu Zheng, Yuanhuiyi Lyu, Jiaxu Wang, Renjing Xu, Lin Wang

CoRR, 2023

Shifting Attention to Relevance: Towards the Uncertainty Estimation of Large Language Models.

Jinhao Duan, Hao Cheng, Shiqi Wang, Chenan Wang, Alex Zavalny, Renjing Xu, Bhavya Kailkhura, Kaidi Xu

CoRR, 2023

TTPOINT: A Tensorized Point Cloud Network for Lightweight Action Recognition with Event Cameras.

Hongwei Ren, Yue Zhou, Haotian Fu, Yulong Huang, Renjing Xu, Bojun Cheng

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Masked Spiking Transformer.

Ziqing Wang, Yuetong Fang, Jiahang Cao, Qiang Zhang, Zhongrui Wang, Renjing Xu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

RBFormer: Improve Adversarial Robustness of Transformers by Robust Bias.

Hao Cheng, Jinhao Duan, Hui Li, Jiahang Cao, Ping Wang, Lyutianyang Zhang, Jize Zhang, Kaidi Xu, Renjing Xu

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

Efficient Spiking Transformer Enabled By Partial Information.

Ziqing Wang, Yuetong Fang, Jiahang Cao, Zhongrui Wang, Renjing Xu

CoRR, 2022