activity
20172025
most citedLarge-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55

53 citations · 54 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

WS-DETR: Robust Water Surface Object Detection through Vision-Radar Fusion with Detection Transformer

Huilin Yin, Pengyu Wang, Senmao Li +2

Robust object detection for Unmanned Surface Vehicles (USVs) in complex water environments is essential for reliable navigation and operation. Specifically, water surface object de…

cs.CV2025★ 1 cited

Unit Region Encoding: A Unified and Compact Geometry-aware Representation for Floorplan Applications

Huichao Zhang, Pengyu Wang, Manyi Li +2

We present the Unit Region Encoding of floorplans, which is a unified and compact geometry-aware encoding representation for various applications, ranging from interior space plann…

cs.CV2024

Segment-Anything Models Achieve Zero-shot Robustness in Autonomous Driving

Jun Yan, Pengyu Wang, Danni Wang +3

Semantic segmentation is a significant perception task in autonomous driving. It suffers from the risks of adversarial examples. In the past few years, deep learning has gradually…

cs.CV2024

MetaFood CVPR 2024 Challenge on Physically Informed 3D Food Reconstruction: Methods and Results

Jiangpeng He, Yuhao Chen, Gautham Vinod +16

The increasing interest in computer vision applications for nutrition and dietary monitoring has led to the development of advanced 3D reconstruction techniques for food items. How…

cs.CV2017★ 53 cited

Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55

Li Yi, Lin Shao, Manolis Savva +47

We introduce a large-scale 3D shape understanding benchmark using data and annotation from ShapeNet 3D object database. The benchmark consists of two tasks: part-level segmentation…