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Shaochen Zhang

4 accepted papers

2026

Omni-AD: A Large-scale and Versatile Benchmark for Industrial Anomaly Detection

CVPR 2026

Industrial Anomaly Detection (IAD) has attracted significant attention and witnessed rapid development. However, the advancement in this field is hindered by two key issues: the performance saturation of existing benchmarks, limiting discriminative evaluation of different IAD methods, and the absenc

Cited by 0SourceScholar
2026

OmniSpatial: Towards Comprehensive Spatial Reasoning Benchmark for Vision Language Models

ICLR 2026poster

Spatial reasoning is a key aspect of cognitive psychology and remains a bottleneck for current vision-language models (VLMs). While extensive research has aimed to evaluate or improve VLMs' understanding of basic spatial relations, such as distinguishing left from right, near from far, and object co…

Cited by 0SourcecodeScholar
2025

SCDA-Net: Structure Completion and Density Awareness Network for LiDAR-Based 3D Object Detection

RA-L 2025

As a fundamental task in various application scenarios, including autonomous driving and mobile robotic systems, 3D object detection has received extensive attention from researchers in both academia and industry. However, due to the working principle of LiDAR and external factors such as occlusion,

Cited by 0SourceScholar
2024

ShapeLLM: Universal 3D Object Understanding for Embodied Interaction

ECCV 2024poster

"This paper presents , the first 3D Multimodal Large Language Model (LLM) designed for embodied interaction, exploring a universal 3D object understanding with 3D point clouds and languages. is built upon an improved 3D encoder by extending [?] to that benefits from multi-view image distillation for…