2 citations · 3 across the 7 of their papers we have counts for
8 papers
PhysiFlow: Physics-Aware Humanoid Whole-Body VLA via Multi-Brain Latent Flow Matching and Robust Tracking
Weikai Qin, Sichen Wu, Ci Chen +5
In the domain of humanoid robot control, the fusion of Vision-Language-Action (VLA) with whole-body control is essential for semantically guided execution of real-world tasks. Howe…
Fusion4CA: Boosting 3D Object Detection via Comprehensive Image Exploitation
Kang Luo, Xin Chen, Yangyi Xiao +1
Nowadays, an increasing number of works fuse LiDAR and RGB data in the bird's-eye view (BEV) space for 3D object detection in autonomous driving systems. However, existing methods…
Uni-Hand: Universal Hand Motion Forecasting in Egocentric Views
Junyi Ma, Wentao Bao, Jingyi Xu +5
Forecasting how human hands move in egocentric views is critical for applications like augmented reality and human-robot policy transfer. Recently, several hand trajectory predicti…
Novel Diffusion Models for Multimodal 3D Hand Trajectory Prediction
Junyi Ma, Wentao Bao, Jingyi Xu +3
Predicting hand motion is critical for understanding human intentions and bridging the action space between human movements and robot manipulations. Existing hand trajectory predic…
EADReg: Probabilistic Correspondence Generation with Efficient Autoregressive Diffusion Model for Outdoor Point Cloud Registration
Linrui Gong, Jiuming Liu, Junyi Ma +3
Diffusion models have shown the great potential in the point cloud registration (PCR) task, especially for enhancing the robustness to challenging cases. However, existing diffusio…
MADiff: Motion-Aware Mamba Diffusion Models for Hand Trajectory Prediction on Egocentric Videos
Junyi Ma, Xieyuanli Chen, Wentao Bao +2
Understanding human intentions and actions through egocentric videos is important on the path to embodied artificial intelligence. As a branch of egocentric vision techniques, hand…
Diff-IP2D: Diffusion-Based Hand-Object Interaction Prediction on Egocentric Videos
Junyi Ma, Jingyi Xu, Xieyuanli Chen +1
Understanding how humans would behave during hand-object interaction is vital for applications in service robot manipulation and extended reality. To achieve this, some recent work…
Cam4DOcc: Benchmark for Camera-Only 4D Occupancy Forecasting in Autonomous Driving Applications
Junyi Ma, Xieyuanli Chen, Jiawei Huang +6
Understanding how the surrounding environment changes is crucial for performing downstream tasks safely and reliably in autonomous driving applications. Recent occupancy estimation…