2 citations · 2 across the 11 of their papers we have counts for
6 papers · 1 filter
ARMFlow: AutoRegressive MeanFlow for Online 3D Human Reaction Generation
Zichen Geng, Zeeshan Hayder, Wei Liu +2
3D human reaction generation faces three main challenges:(1) high motion fidelity, (2) real-time inference, and (3) autoregressive adaptability for online scenarios. Existing metho…
FLaTEC: Frequency-Disentangled Latent Triplanes for Efficient Compression of LiDAR Point Clouds
Xiaoge Zhang, Zijie Wu, Mingtao Feng +4
Point cloud compression methods jointly optimize bitrates and reconstruction distortion. However, balancing compression ratio and reconstruction quality is difficult because low-fr…
Quantization-Aware Neuromorphic Architecture for Skin Lesion Classification on Resource-Constrained Devices
Haitian Wang, Xia Cheng, Xinyu Wang +2
On-device skin lesion analysis is constrained by the compute and energy cost of conventional CNN inference and by the need for lightweight calibration under clinical data shift. Ne…
UniHM: Universal Human Motion Generation with Object Interactions in Indoor Scenes
Zichen Geng, Zeeshan Hayder, Wei Liu +1
Human motion synthesis in complex scenes presents a fundamental challenge, extending beyond conventional Text-to-Motion tasks by requiring the integration of diverse modalities suc…
MonoDiff9D: Monocular Category-Level 9D Object Pose Estimation via Diffusion Model
Jian Liu, Wei Sun, Hui Yang +4
Object pose estimation is a core means for robots to understand and interact with their environment. For this task, monocular category-level methods are attractive as they require…
Auto-Regressive Diffusion for Generating 3D Human-Object Interactions
Zichen Geng, Zeeshan Hayder, Wei Liu +1
Text-driven Human-Object Interaction (Text-to-HOI) generation is an emerging field with applications in animation, video games, virtual reality, and robotics. A key challenge in HO…