Dehao Yuan

According to our database, Dehao Yuan authored at least 7 papers between 2022 and 2024.

Collaborative distances:

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

2024

Learning Normal Flow Directly From Event Neighborhoods.

Dehao Yuan, Levi Burner, Jiayi Wu, Minghui Liu, Jingxi Chen, Yiannis Aloimonos, Cornelia Fermüller

CoRR, 2024

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation.

Jingxi Chen, Brandon Y. Feng, Haoming Cai, Tianfu Wang, Levi Burner, Dehao Yuan, Cornelia Fermüller, Christopher A. Metzler, Yiannis Aloimonos

CoRR, 2024

Discovering Object Attributes by Prompting Large Language Models with Perception-Action APIs.

Angelos Mavrogiannis, Dehao Yuan, Yiannis Aloimonos

CoRR, 2024

A Linear Time and Space Local Point Cloud Geometry Encoder via Vectorized Kernel Mixture (VecKM).

Dehao Yuan, Cornelia Fermüller, Tahseen Rabbani, Furong Huang, Yiannis Aloimonos

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

Decodable and Sample Invariant Continuous Object Encoder.

Dehao Yuan, Furong Huang, Cornelia Fermüller, Yiannis Aloimonos

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2022

Gluing Neural Networks Symbolically Through Hyperdimensional Computing.

Peter Sutor Jr., Dehao Yuan, Douglas Summers-Stay, Cornelia Fermüller, Yiannis Aloimonos

Proceedings of the International Joint Conference on Neural Networks, 2022

Brain-Inspired Hyperdimensional Computing for Ultra-Efficient Edge AI.

Hussam Amrouch, Mohsen Imani, Xun Jiao, Yiannis Aloimonos, Cornelia Fermüller, Dehao Yuan, Dongning Ma, Hamza Errahmouni Barkam, Paul R. Genssler, Peter Sutor Jr.

Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, 2022