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. (CODES+ISSS, 2022)

Gluing Neural Networks Symbolically Through Hyperdimensional Computing. - Peter Sutor Jr.; Dehao Yuan; Douglas Summers-Stay; Cornelia Fermüller; Yiannis Aloimonos (IJCNN, 2022)

Decodable and Sample Invariant Continuous Object Encoder. - Dehao Yuan; Furong Huang; Cornelia Fermüller; Yiannis Aloimonos (ICLR, 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 (ICML, 2024)

Discovering Object Attributes by Prompting Large Language Models with Perception-Action APIs. - Angelos Mavrogiannis; Dehao Yuan; Yiannis Aloimonos (CoRR, 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 007; Levi Burner; Dehao Yuan; Cornelia Fermüller; Christopher A. Metzler; Yiannis Aloimonos (CVPR, 2025)

A Real-Time Event-Based Normal Flow Estimator. - Dehao Yuan; Cornelia Fermüller (CoRR, 2025)

Motion Segmentation and Egomotion Estimation from Event-Based Normal Flow. - Zhiyuan Hua; Dehao Yuan; Cornelia Fermüller (CoRR, 2025)