activity
20242026
most citedA Survey of Embodied Learning for Object-Centric Robotic Manipulation

16 citations · 28 across the 9 of their papers we have counts for

collaborators

10 papers

cs.RO2026

UniLAP: A Unified Latent Action Policy for Cross-Embodiment Manipulation

Lei Yao, Qiao Feng, Mutian Tong +3

Latent Action Models (LAMs) can capture manipulation priors from action-free videos, but discrete latents usually impose a granularity bottleneck, limiting their ability to represe…

cs.CV2026

EARL: Towards a Unified Analysis-Guided Reinforcement Learning Framework for Egocentric Interaction Reasoning and Pixel Grounding

Yuejiao Su, Xinshen Zhang, Zhen Ye +3

Understanding human--environment interactions from egocentric vision is essential for assistive robotics and embodied intelligent agents, yet existing multimodal large language mod…

cs.CV2026

HAMMER: Harnessing MLLM via Cross-Modal Integration for Intention-Driven 3D Affordance Grounding

Lei Yao, Yong Chen, Yuejiao Su +3

Humans commonly identify 3D object affordance through observed interactions in images or videos, and once formed, such knowledge can be generically generalized to novel objects. In…

cs.RO2026

IGV-RRT: Prior-Real-Time Observation Fusion for Active Object Search in Changing Environments

Wei Zhang, Ping Gong, Yujie Wang +7

Object Goal Navigation (ObjectNav) in temporally changing indoor environments is challenging because object relocation can invalidate historical scene knowledge. To address this is…

cs.CV2026

Interaction-aware Representation Modeling with Co-occurrence Consistency for Egocentric Hand-Object Parsing

Yuejiao Su, Yi Wang, Lei Yao +2

A fine-grained understanding of egocentric human-environment interactions is crucial for developing next-generation embodied agents. One fundamental challenge in this area involves…

cs.CV2026

LaSSM: Efficient Semantic-Spatial Query Decoding via Local Aggregation and State Space Models for 3D Instance Segmentation

Lei Yao, Yi Wang, Yawen Cui +2

Query-based 3D scene instance segmentation from point clouds has attained notable performance. However, existing methods suffer from the query initialization dilemma due to the spa…

cs.CV2025

GVSynergy-Det: Synergistic Gaussian-Voxel Representations for Multi-View 3D Object Detection

Yi Zhang, Yi Wang, Lei Yao +1

Image-based 3D object detection aims to identify and localize objects in 3D space using only RGB images, eliminating the need for expensive depth sensors required by point cloud-ba…

cs.CV2025

GaussianCross: Cross-modal Self-supervised 3D Representation Learning via Gaussian Splatting

Lei Yao, Yi Wang, Yi Zhang +2

The significance of informative and robust point representations has been widely acknowledged for 3D scene understanding. Despite existing self-supervised pre-training counterparts…

cs.RO2024★ 16 cited

A Survey of Embodied Learning for Object-Centric Robotic Manipulation

Ying Zheng, Lei Yao, Yuejiao Su +5

Embodied learning for object-centric robotic manipulation is a rapidly developing and challenging area in embodied AI. It is crucial for advancing next-generation intelligent robot…

cs.CV2024★ 12 cited

SGIFormer: Semantic-guided and Geometric-enhanced Interleaving Transformer for 3D Instance Segmentation

Lei Yao, Yi Wang, Moyun Liu +1

In recent years, transformer-based models have exhibited considerable potential in point cloud instance segmentation. Despite the promising performance achieved by existing methods…