1 citations · 1 across the 4 of their papers we have counts for
6 papers
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,…
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…
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…
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…
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…
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…