activity
20232025
most citedFoAM: Foresight-Augmented Multi-Task Imitation Policy for Robotic Manipulation

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2025

Semore: VLM-guided Enhanced Semantic Motion Representations for Visual Reinforcement Learning

Wentao Wang, Chunyang Liu, Kehua Sheng +2

The growing exploration of Large Language Models (LLM) and Vision-Language Models (VLM) has opened avenues for enhancing the effectiveness of reinforcement learning (RL). However,…

cs.AI2025

Video-STR: Reinforcing MLLMs in Video Spatio-Temporal Reasoning with Relation Graph

Wentao Wang, Heqing Zou, Tianze Luo +8

Recent progress in Multimodal Large Language Models (MLLMs) has demonstrated strong semantic understanding capabilities, but struggles to perform precise spatio-temporal understand…

cs.CV2025

EgoTwin: Dreaming Body and View in First Person

Jingqiao Xiu, Fangzhou Hong, Yicong Li +5

While exocentric video synthesis has achieved great progress, egocentric video generation remains largely underexplored, which requires modeling first-person view content along wit…

cs.RO2024★ 1 cited

FoAM: Foresight-Augmented Multi-Task Imitation Policy for Robotic Manipulation

Litao Liu, Wentao Wang, Yifan Han +5

Multi-task imitation learning (MTIL) has shown significant potential in robotic manipulation by enabling agents to perform various tasks using a single policy. This simplifies the…

cs.CV2024

CosmicMan: A Text-to-Image Foundation Model for Humans

Shikai Li, Jianglin Fu, Kaiyuan Liu +3

We present CosmicMan, a text-to-image foundation model specialized for generating high-fidelity human images. Unlike current general-purpose foundation models that are stuck in the…

cs.RO2023

PyPose v0.6: The Imperative Programming Interface for Robotics

Zitong Zhan, Xiangfu Li, Qihang Li +33

PyPose is an open-source library for robot learning. It combines a learning-based approach with physics-based optimization, which enables seamless end-to-end robot learning. It has…