activity
20172021
most citedSelf-Monitoring Navigation Agent via Auxiliary Progress Estimation

134 citations · 287 across the 9 of their papers we have counts for

collaborators

12 papers

cs.RO20211 cited

Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation

Muhammad Zubair Irshad, Chih-Yao Ma, Zsolt Kira

Deep Learning has revolutionized our ability to solve complex problems such as Vision-and-Language Navigation (VLN). This task requires the agent to navigate to a goal purely based…

cs.CV202128 cited

Unbiased Teacher for Semi-Supervised Object Detection

Yen-Cheng Liu, Chih-Yao Ma, Zijian He +6

Semi-supervised learning, i.e., training networks with both labeled and unlabeled data, has made significant progress recently. However, existing works have primarily focused on im…

cs.CV20209 cited

FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning

Chia-Wen Kuo, Chih-Yao Ma, Jia-Bin Huang +1

Recent state-of-the-art semi-supervised learning (SSL) methods use a combination of image-based transformations and consistency regularization as core components. Such methods, how…

cs.CV202053 cited

Frustratingly Simple Domain Generalization via Image Stylization

Nathan Somavarapu, Chih-Yao Ma, Zsolt Kira

Convolutional Neural Networks (CNNs) show impressive performance in the standard classification setting where training and testing data are drawn i.i.d. from a given domain. Howeve…

cs.CV2020

Who2com: Collaborative Perception via Learnable Handshake Communication

Yen-Cheng Liu, Junjiao Tian, Chih-Yao Ma +3

In this paper, we propose the problem of collaborative perception, where robots can combine their local observations with those of neighboring agents in a learnable way to improve…

cs.LG20194 cited

Manifold Graph with Learned Prototypes for Semi-Supervised Image Classification

Chia-Wen Kuo, Chih-Yao Ma, Jia-Bin Huang +1

Recent advances in semi-supervised learning methods rely on estimating the categories of unlabeled data using a model trained on the labeled data (pseudo-labeling) and using the un…