activity
20242026
most citedEnhancing Visual Question Answering through Ranking-Based Hybrid Training and Multimodal Fusion

1 citations · 1 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CV2026

MoWorld: A Flash World Model

Team Moxin, Deyi Ji, Tianrun Chen +37

The future of World Models depends not only on scaling model capability, but also on scaling practicality and inference efficiency. High-frame-rate inference enables responsive per…

cs.AI2025

FreeAskWorld: An Interactive and Closed-Loop Simulator for Human-Centric Embodied AI

Yuhang Peng, Yizhou Pan, Xinning He +6

As embodied intelligence emerges as a core frontier in artificial intelligence research, simulation platforms must evolve beyond low-level physical interactions to capture complex,…

cs.CV2025

RoadSceneBench: A Lightweight Benchmark for Mid-Level Road Scene Understanding

Xiyan Liu, Han Wang, Yuhu Wang +4

Understanding mid-level road semantics, which capture the structural and contextual cues that link low-level perception to high-level planning, is essential for reliable autonomous…

cs.RO2025

Embodied Cognition Augmented End2End Autonomous Driving

Ling Niu, Xiaoji Zheng, Han Wang +4

In recent years, vision-based end-to-end autonomous driving has emerged as a new paradigm. However, popular end-to-end approaches typically rely on visual feature extraction networ…

cs.CV2025

GoViG: Goal-Conditioned Visual Navigation Instruction Generation via Multimodal Reasoning

Fengyi Wu, Yifei Dong, Yilong Dai +7

We introduce Goal-Conditioned Visual Navigation Instruction Generation (GoViG), a new task that aims to generate contextually coherent navigation instructions solely from egocentri…

cs.CV2025

Dynamic Double Space Tower

Weikai Sun, Shijie Song, Han Wang

The Visual Question Answering (VQA) task requires the simultaneous understanding of image content and question semantics. However, existing methods often have difficulty handling c…

cs.RO2025

Bench2FreeAD: A Benchmark for Vision-based End-to-end Navigation in Unstructured Robotic Environments

Yuhang Peng, Sidong Wang, Jihaoyu Yang +3

Most current end-to-end (E2E) autonomous driving algorithms are built on standard vehicles in structured transportation scenarios, lacking exploration of robot navigation for unstr…

cs.RO2024

Dynamic Open-Vocabulary 3D Scene Graphs for Long-term Language-Guided Mobile Manipulation

Zhijie Yan, Shufei Li, Zuoxu Wang +5

Enabling mobile robots to perform long-term tasks in dynamic real-world environments is a formidable challenge, especially when the environment changes frequently due to human-robo…

cs.CV2024★ 1 cited

Enhancing Visual Question Answering through Ranking-Based Hybrid Training and Multimodal Fusion

Peiyuan Chen, Zecheng Zhang, Yiping Dong +2

Visual Question Answering (VQA) is a challenging task that requires systems to provide accurate answers to questions based on image content. Current VQA models struggle with comple…