1 code implementation • 24 Jan 2020 • Ge Gao, Mikko Lauri, Yulong Wang, Xiaolin Hu, Jianwei Zhang, Simone Frintrop
We use depth information represented by point clouds as the input to both deep networks and geometry-based pose refinement and use separate networks for rotation and translation regression.
1 code implementation • EMNLP 2018 • Ge Gao, Eunsol Choi, Yejin Choi, Luke Zettlemoyer
We present end-to-end neural models for detecting metaphorical word use in context.
1 code implementation • 2 Mar 2021 • Ge Gao, Mikko Lauri, Xiaolin Hu, Jianwei Zhang, Simone Frintrop
In contrast, this domain gap is considerably smaller and easier to fill for depth information.
1 code implementation • NeurIPS 2023 • Ho Man Kwan, Ge Gao, Fan Zhang, Andrew Gower, David Bull
Learning-based video compression is currently a popular research topic, offering the potential to compete with conventional standard video codecs.
Ranked #1 on Video Reconstruction on UVG
1 code implementation • ACL 2022 • Ge Gao, Eunsol Choi, Yoav Artzi
We study learning from user feedback for extractive question answering by simulating feedback using supervised data.
1 code implementation • 4 Jan 2024 • Shengtao Li, Ge Gao, Yudong Liu, Yu-Shen Liu, Ming Gu
Our method maximizes the spatial expressiveness of grid features and maintains computational efficiency.
1 code implementation • 21 May 2023 • Ge Gao, Hung-Ting Chen, Yoav Artzi, Eunsol Choi
We study continually improving an extractive question answering (QA) system via human user feedback.
1 code implementation • 15 Mar 2022 • Ge Gao, Farzaneh Khoshnevisan, Min Chi
Real-world Electronic Health Records (EHRs) are often plagued by a high rate of missing data.
1 code implementation • 28 Jan 2023 • Qitong Gao, Ge Gao, Min Chi, Miroslav Pajic
In this work, we propose the variational latent branching model (VLBM) to learn the transition function of MDPs by formulating the environmental dynamics as a compact latent space, from which the next states and rewards are then sampled.
1 code implementation • 25 Oct 2023 • Nikita Mehandru, Sweta Agrawal, Yimin Xiao, Elaine C Khoong, Ge Gao, Marine Carpuat, Niloufar Salehi
A major challenge in the practical use of Machine Translation (MT) is that users lack guidance to make informed decisions about when to rely on outputs.
no code implementations • 13 Apr 2017 • Ge Gao, Mikko Lauri, Jianwei Zhang, Simone Frintrop
We propose a new saliency-guided method for generating supervoxels in 3D space.
no code implementations • 16 Aug 2018 • Ge Gao, Mikko Lauri, Jianwei Zhang, Simone Frintrop
Rotation estimation of known rigid objects is important for robotic applications such as dexterous manipulation.
no code implementations • 10 Feb 2021 • Ge Gao, Samiha Marwan, Thomas W. Price
From the log data, we extract patterns of behaviors that are predictive of students' success using an approach called differential sequence mining.
no code implementations • 21 May 2021 • Yingxia Jiao, Xiao Wang, Yu-Cheng Chou, Shouyuan Yang, Ge-Peng Ji, Rong Zhu, Ge Gao
Owing to the difficulties of mining spatial-temporal cues, the existing approaches for video salient object detection (VSOD) are limited in understanding complex and noisy scenarios, and often fail in inferring prominent objects.
no code implementations • ICCV 2021 • Ge Gao, Pei You, Rong pan, Shunyuan Han, Yuanyuan Zhang, Yuchao Dai, Hojae Lee
In recent years, neural image compression emerges as a rapidly developing topic in computer vision, where the state-of-the-art approaches now exhibit superior compression performance than their conventional counterparts.
no code implementations • 4 Mar 2022 • Han Liu, Xiaoyu Song, Ge Gao, Hehua Zhang, Yu-Shen Liu, Ming Gu
Semantic rule checking on RDFS/OWL data has been widely used in the construction industry.
no code implementations • 7 Sep 2022 • Yongle Zhang, Dennis Asamoah Owusu, Marine Carpuat, Ge Gao
We manipulated the exchange of subgroup conversation logs prior to team meetings: with MT-mediated exchanges versus without.
no code implementations • 7 Sep 2022 • Ge Gao, Jian Zheng, Eun Kyoung Choe, Naomi Yamashita
Our data indicated that participants often took language detours, or visits to Mandarin resources for information about the COVID outbreak in their host countries.
no code implementations • LREC 2022 • Carley Reardon, Sejin Paik, Ge Gao, Meet Parekh, Yanling Zhao, Lei Guo, Margrit Betke, Derry Tanti Wijaya
As such, we introduce a U. S. gun violence news dataset that contains news headline and image pairings from 840 news articles with 15K high-quality, crowdsourced annotations on emotional responses to the news pairings.
no code implementations • 3 Nov 2022 • Lei Fu, Huanle Zhang, Ge Gao, Mi Zhang, Xin Liu
As a privacy-preserving paradigm for training Machine Learning (ML) models, Federated Learning (FL) has received tremendous attention from both industry and academia.
no code implementations • 2 Dec 2022 • Hairong Luo, Ge Gao, Han Huang, ZiYi Ke, Cheng Peng, Ming Gu
It can be supplemented using deep learning.
no code implementations • 18 Feb 2023 • Ge Gao, Song Ju, Markel Sanz Ausin, Min Chi
Reinforcement learning (RL) has been extensively researched for enhancing human-environment interactions in various human-centric tasks, including e-learning and healthcare.
no code implementations • 15 May 2023 • Xi Yang, Ge Gao, Min Chi
Apprenticeship learning (AL) is a process of inducing effective decision-making policies via observing and imitating experts' demonstrations.
no code implementations • 30 Aug 2023 • YuHang Zhou, Xuan Lu, Ge Gao, Qiaozhu Mei, Wei Ai
In this paper, we study how emoji usage influences developer participation and issue resolution in virtual workspaces.
no code implementations • 6 Oct 2023 • Ge Gao, Jonathan D. Chang, Claire Cardie, Kianté Brantley, Thorsten Joachim
Text retrieval plays a crucial role in incorporating factual knowledge for decision making into language processing pipelines, ranging from chat-based web search to question answering systems.
no code implementations • 5 Dec 2023 • Tianhao Peng, Ge Gao, Heming Sun, Fan Zhang, David Bull
In recent years, end-to-end learnt video codecs have demonstrated their potential to compete with conventional coding algorithms in term of compression efficiency.
no code implementations • 21 Dec 2023 • Han Huang, Yulun Wu, Junsheng Zhou, Ge Gao, Ming Gu, Yu-Shen Liu
To achieve this, we train a neural network to learn a global implicit field from the on-surface points obtained from SfM and then leverage it as a coarse geometric constraint.
no code implementations • 22 Jan 2024 • YuHang Zhou, Paiheng Xu, Xiyao Wang, Xuan Lu, Ge Gao, Wei Ai
Our objective is to validate the hypothesis that ChatGPT can serve as a viable alternative to human annotators in emoji research and that its ability to explain emoji meanings can enhance clarity and transparency in online communications.
no code implementations • 4 Mar 2024 • Snehesh Shrestha, Yantian Zha, Saketh Banagiri, Ge Gao, Yiannis Aloimonos, Cornelia Fermuller
NatSGD serves as a foundational resource at the intersection of machine learning and HRI research, and we demonstrate its effectiveness in training robots to understand tasks through multimodal human commands, emphasizing the significance of jointly considering speech and gestures.
no code implementations • 23 Apr 2024 • Ge Gao, Alexey Taymanov, Eduardo Salinas, Paul Mineiro, Dipendra Misra
In a typical setting such as writing assistants, the user interacts with a language agent to generate a response given a context, and may optionally edit the agent response to personalize it based on their latent preference, in addition to improving the correctness.