activity
20172022
most citedNetwork Sketching: Exploiting Binary Structure in Deep CNNs

13 citations · 48 across the 13 of their papers we have counts for

collaborators
Showing 2021Show all

5 papers · 1 filter

cs.CV2021★ 2 cited

Transferable End-to-end Room Layout Estimation via Implicit Encoding

Hao Zhao, Rene Ranftl, Yurong Chen +1

We study the problem of estimating room layouts from a single panorama image. Most former works have two stages: feature extraction and parametric model fitting. Here we propose an…

cs.CV2021★ 4 cited

Semi-supervised Implicit Scene Completion from Sparse LiDAR

Pengfei Li, Yongliang Shi, Tianyu Liu +3

Recent advances show that semi-supervised implicit representation learning can be achieved through physical constraints like Eikonal equations. However, this scheme has not yet bee…

cs.CV2021★ 2 cited

Cerberus Transformer: Joint Semantic, Affordance and Attribute Parsing

Xiaoxue Chen, Tianyu Liu, Hao Zhao +2

Multi-task indoor scene understanding is widely considered as an intriguing formulation, as the affinity of different tasks may lead to improved performance. In this paper, we tack…

cs.CV2021★ 3 cited

Pointly-supervised 3D Scene Parsing with Viewpoint Bottleneck

Liyi Luo, Beiwen Tian, Hao Zhao +1

Semantic understanding of 3D point clouds is important for various robotics applications. Given that point-wise semantic annotation is expensive, in this paper, we address the chal…

cs.CV2021

PQ-Transformer: Jointly Parsing 3D Objects and Layouts from Point Clouds

Xiaoxue Chen, Hao Zhao, Guyue Zhou +1

3D scene understanding from point clouds plays a vital role for various robotic applications. Unfortunately, current state-of-the-art methods use separate neural networks for diffe…