4 papers
SpatialGeo:Boosting Spatial Reasoning in Multimodal LLMs via Geometry-Semantics Fusion
Jiajie Guo, Qingpeng Zhu, Jin Zeng +3
Multimodal large language models (MLLMs) have achieved significant progress in image and language tasks due to the strong reasoning capability of large language models (LLMs). Neve…
CMPhysBench: A Benchmark for Evaluating Large Language Models in Condensed Matter Physics
Weida Wang, Dongchen Huang, Jiatong Li +32
We introduce CMPhysBench, designed to assess the proficiency of Large Language Models (LLMs) in Condensed Matter Physics, as a novel Benchmark. CMPhysBench is composed of more than…
Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention
Weida Wang, Changyong He, Jin Zeng +1
Depth images captured by Time-of-Flight (ToF) sensors are prone to noise, requiring denoising for reliable downstream applications. Previous works either focus on single-frame proc…
Towards Robust Time-of-Flight Depth Denoising with Confidence-Aware Diffusion Model
Changyong He, Jin Zeng, Jiawei Zhang +1
Time-of-Flight (ToF) sensors efficiently capture scene depth, but the nonlinear depth construction procedure often results in extremely large noise variance or even invalid areas.…