22 citations · 22 across the 5 of their papers we have counts for
6 papers
Look Forward to Walk Backward: Efficient Terrain Memory for Backward Locomotion with Forward Vision
Shixin Luo, Songbo Li, Yuan Hao +4
Legged robots with egocentric forward-facing depth cameras can couple exteroception and proprioception to achieve robust forward agility on complex terrain. When these robots walk…
CReF: Cross-modal and Recurrent Fusion for Depth-conditioned Humanoid Locomotion
Yuan Hao, Ruiqi Yu, Shixin Luo +3
Stable traversal over geometrically complex terrain increasingly requires exteroceptive perception, yet prior perceptive humanoid locomotion methods often remain tied to explicit g…
MOVE: Multi-skill Omnidirectional Legged Locomotion with Limited View in 3D Environments
Songbo Li, Shixin Luo, Jun Wu +1
Legged robots possess inherent advantages in traversing complex 3D terrains. However, previous work on low-cost quadruped robots with egocentric vision systems has been limited by…
PIE: Parkour with Implicit-Explicit Learning Framework for Legged Robots
Shixin Luo, Songbo Li, Ruiqi Yu +3
Parkour presents a highly challenging task for legged robots, requiring them to traverse various terrains with agile and smooth locomotion. This necessitates comprehensive understa…
Greedy Growing Enables High-Resolution Pixel-Based Diffusion Models
Cristina N. Vasconcelos, Abdullah Rashwan, Austin Waters +22
We address the long-standing problem of how to learn effective pixel-based image diffusion models at scale, introducing a remarkably simple greedy growing method for stable trainin…
MobileNetV4 -- Universal Models for the Mobile Ecosystem
Danfeng Qin, Chas Leichner, Manolis Delakis +11
We present the latest generation of MobileNets, known as MobileNetV4 (MNv4), featuring universally efficient architecture designs for mobile devices. At its core, we introduce the…