Shunlin Lu

According to our database1, Shunlin Lu authored at least 8 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
MotionCLR: Motion Generation and Training-free Editing via Understanding Attention Mechanisms.
CoRR, 2024

Story3D-Agent: Exploring 3D Storytelling Visualization with Large Language Models.
CoRR, 2024

MotionLLM: Understanding Human Behaviors from Human Motions and Videos.
CoRR, 2024

HumanTOMATO: Text-aligned Whole-body Motion Generation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Motion-X: A Large-scale 3D Expressive Whole-body Human Motion Dataset.
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


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