Shunlin Lu
According to our database1,
Shunlin Lu
authored at least 8 papers
between 2022 and 2024.
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Bibliography
2024
MotionCLR: Motion Generation and Training-free Editing via Understanding Attention Mechanisms.
CoRR, 2024
CoRR, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
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.
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.
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
P<sup>2</sup>M-DeTrack: Processing-in-Pixel-in-Memory for Energy-efficient and Real-Time Multi-Object Detection and Tracking.
Proceedings of the 30th IFIP/IEEE 30th International Conference on Very Large Scale Integration, 2022