activity
20212026
most citedDomain Adaptation on Point Clouds via Geometry-Aware Implicits

65 citations · 80 across the 13 of their papers we have counts for

collaborators
Showing 2021Show all

5 papers · 1 filter

cs.CV2021★ 65 cited

Domain Adaptation on Point Clouds via Geometry-Aware Implicits

Yuefan Shen, Yanchao Yang, Mi Yan +3

As a popular geometric representation, point clouds have attracted much attention in 3D vision, leading to many applications in autonomous driving and robotics. One important yet u…

cs.CV2021

Object Pursuit: Building a Space of Objects via Discriminative Weight Generation

Chuanyu Pan, Yanchao Yang, Kaichun Mo +2

We propose a framework to continuously learn object-centric representations for visual learning and understanding. Existing object-centric representations either rely on supervisio…

cs.CV2021★ 2 cited

IFR-Explore: Learning Inter-object Functional Relationships in 3D Indoor Scenes

Qi Li, Kaichun Mo, Yanchao Yang +2

Building embodied intelligent agents that can interact with 3D indoor environments has received increasing research attention in recent years. While most works focus on single-obje…

cs.CV2021

ADeLA: Automatic Dense Labeling with Attention for Viewpoint Adaptation in Semantic Segmentation

Yanchao Yang, Hanxiang Ren, He Wang +5

We describe an unsupervised domain adaptation method for image content shift caused by viewpoint changes for a semantic segmentation task. Most existing methods perform domain alig…

cs.CV2021★ 7 cited

DCL: Differential Contrastive Learning for Geometry-Aware Depth Synthesis

Yuefan Shen, Yanchao Yang, Youyi Zheng +2

We describe a method for unpaired realistic depth synthesis that learns diverse variations from the real-world depth scans and ensures geometric consistency between the synthetic a…