Search Results for author:
Found 11 papers, 3 papers with code
Knowledge Boundary and Persona Dynamic Shape A Better Social Media Agent
For dynamic persona information, we use current action information to internally retrieve the persona information of the agent, thereby reducing the interference of diverse persona information on the current action.
Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation
In this paper, we extend the scope of this effectiveness by showing that visual robot manipulation can significantly benefit from large-scale video generative pre-training.
Ranked #2 on
Zero-shot Generalization
on CALVIN
(using extra training data)
Vision-Language Foundation Models as Effective Robot Imitators
We believe RoboFlamingo has the potential to be a cost-effective and easy-to-use solution for robotics manipulation, empowering everyone with the ability to fine-tune their own robotics policy.
MOMA-Force: Visual-Force Imitation for Real-World Mobile Manipulation
In this paper, we present a novel method for mobile manipulators to perform multiple contact-rich manipulation tasks.
Exploring Visual Pre-training for Robot Manipulation: Datasets, Models and Methods
However, the recipes of visual pre-training for robot manipulation tasks are yet to be built.
Learning to Explore Informative Trajectories and Samples for Embodied Perception
Unlike static perception methods trained on pre-collected images, the embodied agent can move around in the environment and obtain images of objects from any viewpoints.
Towards Unifying Reference Expression Generation and Comprehension
Additionally, IRTF could generate pseudo input regions for the REC task to enable a uniform way for sharing the identical representation space across the REC and REG.
Locate then Segment: A Strong Pipeline for Referring Image Segmentation
Referring image segmentation aims to segment the objects referred by a natural language expression.
Generalized Referring Expression Segmentation
Image Segmentation
+2
Cross-Modal Cross-Domain Moment Alignment Network for Person Search
Specially, we propose a moment alignment network (MAN) to solve the cross-modal cross-domain person search task in this paper.
Pose-Guided Multi-Granularity Attention Network for Text-Based Person Search
To exploit the multilevel corresponding visual contents, we propose a pose-guided multi-granularity attention network (PMA).
Skeleton-Based Action Recognition with Spatial Reasoning and Temporal Stack Learning
Skeleton-based action recognition has made great progress recently, but many problems still remain unsolved.
Ranked #81 on
Skeleton Based Action Recognition
on NTU RGB+D
