Shunlin Lu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
7
Venues
5
Active years
2023–2025
Best venue rank
A*
Where they publish
Papers
7 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | 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 |
| 2025 | ICCV | 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 |
| 2025 | ICCV | ARMO: Autoregressive Rigging for Multi-Category Objects. | Mingze Sun, Shiwei Mao, Keyi Chen, Yurun Chen, Shunlin Lu, Jingbo Wang, Junting Dong, Ruqi Huang |
| 2025 | ICCV | 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 |
| 2024 | ICML | HumanTOMATO: Text-aligned Whole-body Motion Generation. | Shunlin Lu, Ling-Hao Chen, Ailing Zeng, Jing Lin, Ruimao Zhang, Lei Zhang, Heung-Yeung Shum |
| 2023 | ICASSP | 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 |
| 2023 | ICLR | Learning to Linearize Deep Neural Networks for Secure and Efficient Private Inference. | Souvik Kundu, Shunlin Lu, Yuke Zhang, Jacqueline Tiffany Liu, Peter A. Beerel |