Shunlin Lu

According to our database, Shunlin Lu authored at least 15 papers between 2022 and 2025.

Collaborative distances:

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

2025

LoFA: Learning to Predict Personalized Priors for Fast Adaptation of Visual Generative Models.

Yiming Hao, Mutian Xu, Chongjie Ye, Jie Qin, Shunlin Lu, Yipeng Qin, Xiaoguang Han

CoRR, December, 2025

Behavior Foundation Model for Humanoid Robots.

Weishuai Zeng, Shunlin Lu, Kangning Yin, Xiaojie Niu, Minyue Dai, Jingbo Wang, Jiangmiao Pang

CoRR, September, 2025

Motion-X++: A Large-Scale Multimodal 3D Whole-body Human Motion Dataset.

Yuhong Zhang, Jing Lin, Ailing Zeng, Guanlin Wu, Shunlin Lu, Yurong Fu, Yuanhao Cai, Ruimao Zhang, Haoqian Wang, Lei Zhang

CoRR, January, 2025

MotionStreamer: Streaming Motion Generation via Diffusion-Based Autoregressive Model in Causal Latent Space.

Lixing Xiao, Shunlin Lu, Huaijin Pi, Ke Fan, Liang Pan, Yueer Zhou, Ziyong Feng, Xiaowei Zhou, Sida Peng, Jingbo Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

ARMO: Autoregressive Rigging for Multi-Category Objects.

Mingze Sun, Shiwei Mao, Keyi Chen, Yurun Chen, Shunlin Lu, Jingbo Wang, Junting Dong, Ruqi Huang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Go to Zero: Towards Zero-Shot Motion Generation with Million-Scale Data.

Ke Fan, Shunlin Lu, Minyue Dai, Runyi Yu, Lixing Xiao, Zhiyang Dou, Junting Dong, Lizhuang Ma, Jingbo Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

ScaMo: Exploring the Scaling Law in Autoregressive Motion Generation Model.

Shunlin Lu, Jingbo Wang, Zeyu Lu, Ling-Hao Chen, Wenxun Dai, Junting Dong, Zhiyang Dou, Bo Dai, Ruimao Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

MotionCLR: Motion Generation and Training-free Editing via Understanding Attention Mechanisms.

Ling-Hao Chen, Wenxun Dai, Xuan Ju, Shunlin Lu, Lei Zhang

CoRR, 2024

Story3D-Agent: Exploring 3D Storytelling Visualization with Large Language Models.

Yuzhou Huang, Yiran Qin, Shunlin Lu, Xintao Wang, Rui Huang, Ying Shan, Ruimao Zhang

CoRR, 2024

MotionLLM: Understanding Human Behaviors from Human Motions and Videos.

Ling-Hao Chen, Shunlin Lu, Ailing Zeng, Hao Zhang, Benyou Wang, Ruimao Zhang, Lei Zhang

CoRR, 2024

HumanTOMATO: Text-aligned Whole-body Motion Generation.

Shunlin Lu, Ling-Hao Chen, Ailing Zeng, Jing Lin, Ruimao Zhang, Lei Zhang, Heung-Yeung Shum

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Motion-X: A Large-scale 3D Expressive Whole-body Human Motion Dataset.

Jing Lin, Ailing Zeng, Shunlin Lu, Yuanhao Cai, Ruimao Zhang, Haoqian Wang, Lei Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning to Linearize Deep Neural Networks for Secure and Efficient Private Inference.

Souvik Kundu, Shunlin Lu, Yuke Zhang, Jacqueline Tiffany Liu, Peter A. Beerel

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Sparse Mixture Once-for-all Adversarial Training for Efficient in-situ Trade-off between Accuracy and Robustness of DNNs.

Souvik Kundu, Sairam Sundaresan, Sharath Nittur Sridhar, Shunlin Lu, Han Tang, Peter A. Beerel

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

P²M-DeTrack: Processing-in-Pixel-in-Memory for Energy-efficient and Real-Time Multi-Object Detection and Tracking.

Gourav Datta, Souvik Kundu, Zihan Yin, Joe Mathai, Zeyu Liu, Zixu Wang, Mulin Tian, Shunlin Lu, Ravi Teja Lakkireddy, Andrew G. Schmidt, Wael Abd-Almageed, Ajey P. Jacob, Akhilesh R. Jaiswal, Peter A. Beerel

Proceedings of the 30th IFIP/IEEE 30th International Conference on Very Large Scale Integration, 2022