30 citations · 147 across the 31 of their papers we have counts for
20 papers · 1 filter
Locate n' Rotate: Two-stage Openable Part Detection with Foundation Model Priors
Siqi Li, Xiaoxue Chen, Haoyu Cheng +3
Detecting the openable parts of articulated objects is crucial for downstream applications in intelligent robotics, such as pulling a drawer. This task poses a multitasking challen…
Adaptive Surface Normal Constraint for Geometric Estimation from Monocular Images
Xiaoxiao Long, Yuhang Zheng, Yupeng Zheng +6
We introduce a novel approach to learn geometries such as depth and surface normal from images while incorporating geometric context. The difficulty of reliably capturing geometric…
Latency-aware Road Anomaly Segmentation in Videos: A Photorealistic Dataset and New Metrics
Beiwen Tian, Huan-ang Gao, Leiyao Cui +6
In the past several years, road anomaly segmentation is actively explored in the academia and drawing growing attention in the industry. The rationale behind is straightforward: if…
ASSIST: Interactive Scene Nodes for Scalable and Realistic Indoor Simulation
Zhide Zhong, Jiakai Cao, Songen Gu +6
We present ASSIST, an object-wise neural radiance field as a panoptic representation for compositional and realistic simulation. Central to our approach is a novel scene node data…
PAD: A Dataset and Benchmark for Pose-agnostic Anomaly Detection
Qiang Zhou, Weize Li, Lihan Jiang +4
Object anomaly detection is an important problem in the field of machine vision and has seen remarkable progress recently. However, two significant challenges hinder its research a…
NeRRF: 3D Reconstruction and View Synthesis for Transparent and Specular Objects with Neural Refractive-Reflective Fields
Xiaoxue Chen, Junchen Liu, Hao Zhao +2
Neural radiance fields (NeRF) have revolutionized the field of image-based view synthesis. However, NeRF uses straight rays and fails to deal with complicated light path changes ca…