61 citations · 65 across the 5 of their papers we have counts for
5 papers
D2NT: A High-Performing Depth-to-Normal Translator
Yi Feng, Bohuan Xue, Ming Liu +2
Surface normal holds significant importance in visual environmental perception, serving as a source of rich geometric information. However, the state-of-the-art (SoTA) surface norm…
Temporal Segment Transformer for Action Segmentation
Zhichao Liu, Leshan Wang, Desen Zhou +5
Recognizing human actions from untrimmed videos is an important task in activity understanding, and poses unique challenges in modeling long-range temporal relations. Recent works…
SIM2E: Benchmarking the Group Equivariant Capability of Correspondence Matching Algorithms
Shuai Su, Zhongkai Zhao, Yixin Fei +3
Correspondence matching is a fundamental problem in computer vision and robotics applications. Solving correspondence matching problems using neural networks has been on the rise r…
SDA-SNE: Spatial Discontinuity-Aware Surface Normal Estimation via Multi-Directional Dynamic Programming
Nan Ming, Yi Feng, Rui Fan
The state-of-the-art (SoTA) surface normal estimators (SNEs) generally translate depth images into surface normal maps in an end-to-end fashion. Although such SNEs have greatly min…
Multi-Scale Feature Fusion: Learning Better Semantic Segmentation for Road Pothole Detection
Jiahe Fan, Mohammud J. Bocus, Brett Hosking +4
This paper presents a novel pothole detection approach based on single-modal semantic segmentation. It first extracts visual features from input images using a convolutional neural…