6 papers
Topology-Aware Neighborhood Learning for Source-Free Cross-Scene Hyperspectral Image Classification
Qingmei Li, Juepeng Zheng, Jiarui Zhang +2
Domain adaptation has advanced cross-scene hyperspectral image classification, significantly improving discriminative capability in complex scenarios. However, privacy rules or sto…
M4Human: A Large-Scale Multimodal mmWave Radar Benchmark for Human Mesh Reconstruction
Junqiao Fan, Yunjiao Zhou, Yizhuo Yang +6
Human mesh reconstruction (HMR) provides direct insights into body-environment interaction, which enables various immersive applications. While existing large-scale HMR datasets re…
RF4D:Neural Radar Fields for Novel View Synthesis in Outdoor Dynamic Scenes
Jiarui Zhang, Zhihao Li, Chong Wang +1
Neural fields (NFs) have achieved remarkable success in scene reconstruction and novel view synthesis. However, existing NF approaches that rely on RGB or LiDAR inputs often strugg…
mmPred: Radar-based Human Motion Prediction in the Dark
Junqiao Fan, Haocong Rao, Jiarui Zhang +2
Existing Human Motion Prediction (HMP) methods based on RGB-D cameras are sensitive to lighting conditions and raise privacy concerns, limiting their real-world applications such a…
EMHI: A Multimodal Egocentric Human Motion Dataset with HMD and Body-Worn IMUs
Zhen Fan, Peng Dai, Zhuo Su +6
Egocentric human pose estimation (HPE) using wearable sensors is essential for VR/AR applications. Most methods rely solely on either egocentric-view images or sparse Inertial Meas…
Can Large Multimodal Models Understand Agricultural Scenes? Benchmarking with AgroMind
Qingmei Li, Yang Zhang, Zurong Mai +10
Large Multimodal Models (LMMs) has demonstrated capabilities across various domains, but comprehensive benchmarks for agricultural remote sensing (RS) remain scarce. Existing bench…