activity
20172021
most citedCASENet: Deep Category-Aware Semantic Edge Detection

24 citations · 38 across the 7 of their papers we have counts for

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10 papers · 1 filter

cs.CV2021

Fooling LiDAR Perception via Adversarial Trajectory Perturbation

Yiming Li, Congcong Wen, Felix Juefei-Xu +1

LiDAR point clouds collected from a moving vehicle are functions of its trajectories, because the sensor motion needs to be compensated to avoid distortions. When autonomous vehicl…

cs.CV202013 cited

LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood

Abhinav Kumar, Tim K. Marks, Wenxuan Mou +6

Modern face alignment methods have become quite accurate at predicting the locations of facial landmarks, but they do not typically estimate the uncertainty of their predicted loca…

cs.CV2020

SPARE3D: A Dataset for SPAtial REasoning on Three-View Line Drawings

Wenyu Han, Siyuan Xiang, Chenhui Liu +2

Spatial reasoning is an important component of human intelligence. We can imagine the shapes of 3D objects and reason about their spatial relations by merely looking at their three…

cs.CV2019

Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering

Siheng Chen, Chaojing Duan, Yaoqing Yang +3

We propose a deep autoencoder with graph topology inference and filtering to achieve compact representations of unorganized 3D point clouds in an unsupervised manner. Many previous…

cs.CV2018

DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds

Li Ding, Chen Feng

We propose DeepMapping, a novel registration framework using deep neural networks (DNNs) as auxiliary functions to align multiple point clouds from scratch to a globally consistent…

cs.CV2018

Primitive Fitting Using Deep Boundary Aware Geometric Segmentation

Duanshun Li, Chen Feng

To identify and fit geometric primitives (e.g., planes, spheres, cylinders, cones) in a noisy point cloud is a challenging yet beneficial task for fields such as robotics and rever…