5 papers
Eliciting Complex Spatial Reasoning in MLLMs through Wide-Baseline Matching
Hao Zhong, Muzhi Zhu, Shenyan Zeng +8
Wide-baseline matching (WBM) requires integrating geometric understanding, viewpoint changes, fine-grained perception, and occlusion reasoning, making it a challenging testbed for…
Knowledge-Preserved Model Tuning in Null-Space for Robust Spatio-Temporal Video Grounding
Haoxuan Chen, Xianqin Liu, Jian-Fang Hu
Spatio-Temporal Video Grounding aims to localize object tubes based on textual queries. While recent methods have achieved remarkable success, they mainly focus on high-quality(HQ)…
RescueBench: Can Embodied Agents Save Lives in the Wild ?
Kui Wu, Beiyu Guo, Hao Chen +6
Search-and-rescue (SAR) requires embodied agents to explore unfamiliar environments under multimodal uncertainty, perform multi-stage interactions, and retrieve spatial memory over…
Where to Look: Can Foundation Models Reach a Target Viewpoint Through Active Exploration?
Liyang Li, Muzhi Zhu, Zhiyue Zhao +5
Humans can reproduce the viewpoint specified by a target image through active head and body motion, yet spatial intelligence in foundation models has largely been studied as passiv…
Exploring Image Representation with Decoupled Classical Visual Descriptors
Chenyuan Qu, Hao Chen, Jianbo Jiao
Exploring and understanding efficient image representations is a long-standing challenge in computer vision. While deep learning has achieved remarkable progress across image under…