24 citations · 68 across the 9 of their papers we have counts for
9 papers
Point Cloud Instance Segmentation with Semi-supervised Bounding-Box Mining
Yongbin Liao, Hongyuan Zhu, Yanggang Zhang +3
Point cloud instance segmentation has achieved huge progress with the emergence of deep learning. However, these methods are usually data-hungry with expensive and time-consuming d…
Densely Semantic Enhancement for Domain Adaptive Region-free Detectors
Bo Zhang, Tao Chen, Bin Wang +3
Unsupervised domain adaptive object detection aims to adapt a well-trained detector from its original source domain with rich labeled data to a new target domain with unlabeled dat…
Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation
Yazhou Yao, Tao Chen, Guosen Xie +5
Semantic segmentation aims to classify every pixel of an input image. Considering the difficulty of acquiring dense labels, researchers have recently been resorting to weak labels…
EADNet: Efficient Asymmetric Dilated Network for Semantic Segmentation
Qihang Yang, Tao Chen, Jiayuan Fan +3
Due to real-time image semantic segmentation needs on power constrained edge devices, there has been an increasing desire to design lightweight semantic segmentation neural network…
Semantically Meaningful Class Prototype Learning for One-Shot Image Semantic Segmentation
Tao Chen, Guosen Xie, Yazhou Yao +4
One-shot semantic image segmentation aims to segment the object regions for the novel class with only one annotated image. Recent works adopt the episodic training strategy to mimi…
PIDNet: An Efficient Network for Dynamic Pedestrian Intrusion Detection
Jingchen Sun, Jiming Chen, Tao Chen +2
Vision-based dynamic pedestrian intrusion detection (PID), judging whether pedestrians intrude an area-of-interest (AoI) by a moving camera, is an important task in mobile surveill…
Coarse-to-Fine Gaze Redirection with Numerical and Pictorial Guidance
Jingjing Chen, Jichao Zhang, Enver Sangineto +3
Gaze redirection aims at manipulating the gaze of a given face image with respect to a desired direction (i.e., a reference angle) and it can be applied to many real life scenarios…
Cascade EF-GAN: Progressive Facial Expression Editing with Local Focuses
Rongliang Wu, Gongjie Zhang, Shijian Lu +1
Recent advances in Generative Adversarial Nets (GANs) have shown remarkable improvements for facial expression editing. However, current methods are still prone to generate artifac…
Latent Tree Models and Approximate Inference in Bayesian Networks
Yi Wang, Nevin L. Zhang, Tao Chen
We propose a novel method for approximate inference in Bayesian networks (BNs). The idea is to sample data from a BN, learn a latent tree model (LTM) from the data offline, and whe…