5 citations · 9 across the 13 of their papers we have counts for
14 papers
Structural Action Transformer for 3D Dexterous Manipulation
Xiaohan Lei, Min Wang, Bohong Weng +2
Achieving human-level dexterity in robots via imitation learning from heterogeneous datasets is hindered by the challenge of cross-embodiment skill transfer, particularly for high-…
Primary-Fine Decoupling for Action Generation in Robotic Imitation
Xiaohan Lei, Min Wang, Wengang Zhou +2
Multi-modal distribution in robotic manipulation action sequences poses critical challenges for imitation learning. To this end, existing approaches often model the action space as…
P-RAG: Progressive Retrieval Augmented Generation For Planning on Embodied Everyday Task
Weiye Xu, Min Wang, Wengang Zhou +1
Embodied Everyday Task is a popular task in the embodied AI community, requiring agents to make a sequence of actions based on natural language instructions and visual observations…
SEDS: Semantically Enhanced Dual-Stream Encoder for Sign Language Retrieval
Longtao Jiang, Min Wang, Zecheng Li +3
Different from traditional video retrieval, sign language retrieval is more biased towards understanding the semantic information of human actions contained in video clips. Previou…
Self-Supervised Representation Learning with Spatial-Temporal Consistency for Sign Language Recognition
Weichao Zhao, Wengang Zhou, Hezhen Hu +2
Recently, there have been efforts to improve the performance in sign language recognition by designing self-supervised learning methods. However, these methods capture limited info…
MASA: Motion-aware Masked Autoencoder with Semantic Alignment for Sign Language Recognition
Weichao Zhao, Hezhen Hu, Wengang Zhou +3
Sign language recognition (SLR) has long been plagued by insufficient model representation capabilities. Although current pre-training approaches have alleviated this dilemma to so…
Instance-aware Exploration-Verification-Exploitation for Instance ImageGoal Navigation
Xiaohan Lei, Min Wang, Wengang Zhou +2
As a new embodied vision task, Instance ImageGoal Navigation (IIN) aims to navigate to a specified object depicted by a goal image in an unexplored environment. The main challenge…
Motion-aware 3D Gaussian Splatting for Efficient Dynamic Scene Reconstruction
Zhiyang Guo, Wengang Zhou, Li Li +2
3D Gaussian Splatting (3DGS) has become an emerging tool for dynamic scene reconstruction. However, existing methods focus mainly on extending static 3DGS into a time-variant repre…
Image2Sentence based Asymmetrical Zero-shot Composed Image Retrieval
Yongchao Du, Min Wang, Wengang Zhou +2
The task of composed image retrieval (CIR) aims to retrieve images based on the query image and the text describing the users' intent. Existing methods have made great progress wit…
GaussNav: Gaussian Splatting for Visual Navigation
Xiaohan Lei, Min Wang, Wengang Zhou +1
In embodied vision, Instance ImageGoal Navigation (IIN) requires an agent to locate a specific object depicted in a goal image within an unexplored environment. The primary challen…
Asymmetric Feature Fusion for Image Retrieval
Hui Wu, Min Wang, Wengang Zhou +2
In asymmetric retrieval systems, models with different capacities are deployed on platforms with different computational and storage resources. Despite the great progress, existing…
Structure Similarity Preservation Learning for Asymmetric Image Retrieval
Hui Wu, Min Wang, Wengang Zhou +1
Asymmetric image retrieval is a task that seeks to balance retrieval accuracy and efficiency by leveraging lightweight and large models for the query and gallery sides, respectivel…
HandNeRF: Neural Radiance Fields for Animatable Interacting Hands
Zhiyang Guo, Wengang Zhou, Min Wang +2
We propose a novel framework to reconstruct accurate appearance and geometry with neural radiance fields (NeRF) for interacting hands, enabling the rendering of photo-realistic ima…
Learning Token-based Representation for Image Retrieval
Hui Wu, Min Wang, Wengang Zhou +2
In image retrieval, deep local features learned in a data-driven manner have been demonstrated effective to improve retrieval performance. To realize efficient retrieval on large i…