Search Results for author: Yubo Zhang

Found 13 papers, 3 papers with code

#HowYouTagTweets: Learning User Hashtagging Preferences via Personalized Topic Attention

1 code implementation EMNLP 2021 Yuji Zhang, Yubo Zhang, Chunpu Xu, Jing Li, Ziyan Jiang, Baolin Peng

It is hypothesized that one’s interests in a hashtag are related with what they said before (user history) and the existing posts present the hashtag (hashtag contexts).

A Multi-level Alignment Training Scheme for Video-and-Language Grounding

no code implementations22 Apr 2022 Yubo Zhang, Feiyang Niu, Qing Ping, Govind Thattai

To solve video-and-language grounding tasks, the key is for the network to understand the connection between the two modalities.

Semantic Similarity Semantic Textual Similarity

Doctor Recommendation in Online Health Forums via Expertise Learning

1 code implementation ACL 2022 Xiaoxin Lu, Yubo Zhang, Jing Li, Shi Zong

Huge volumes of patient queries are daily generated on online health forums, rendering manual doctor allocation a labor-intensive task.


ColDE: A Depth Estimation Framework for Colonoscopy Reconstruction

no code implementations19 Nov 2021 Yubo Zhang, Jan-Michael Frahm, Samuel Ehrenstein, Sarah K. McGill, Julian G. Rosenman, Shuxian Wang, Stephen M. Pizer

Aiming to fundamentally improve the depth estimation quality for colonoscopy 3D reconstruction, in this work we have designed a set of training losses to deal with the special challenges of colonoscopy data.

3D Reconstruction Depth Estimation +1

How Frequency Effect Graph Neural Networks

no code implementations29 Sep 2021 Xueqi Ma, Yubo Zhang, Weifeng Liu, Yue Gao

Based on the frequency principle on GNNs, we present a novel powerful GNNs framework, Multi-Scale Frequency Enhanced Graph Neural Networks (MSF-GNNs) which considers multi-scale representations from wavelet decomposition.

Node Classification

Discovering Hidden Physics Behind Transport Dynamics

no code implementations CVPR 2021 Peirong Liu, Lin Tian, Yubo Zhang, Stephen R. Aylward, Yueh Z. Lee, Marc Niethammer

To help with identifiability, we develop an advection-diffusion simulator which allows pre-training of our model by supervised learning using the velocity and diffusion tensor fields.

Optical Flow Estimation Time Series +1

Spectral Clustering with Smooth Tiny Clusters

no code implementations10 Sep 2020 Hengrui Wang, Yubo Zhang, Mingzhi Chen, Tong Yang

We first divide objects into a great many tiny clusters.

Diagnosing the Environment Bias in Vision-and-Language Navigation

1 code implementation6 May 2020 Yubo Zhang, Hao Tan, Mohit Bansal

Vision-and-Language Navigation (VLN) requires an agent to follow natural-language instructions, explore the given environments, and reach the desired target locations.

Vision and Language Navigation

Towards Safety-Aware Computing System Design in Autonomous Vehicles

no code implementations21 May 2019 Hengyu Zhao, Yubo Zhang, Pingfan Meng, Hui Shi, Li Erran Li, Tiancheng Lou, Jishen Zhao

To address this issue, we propose a `safety score' as a primary metric for measuring the level of safety in AV computing system design.

Autonomous Driving

A Study on Action Detection in the Wild

no code implementations29 Apr 2019 Yubo Zhang, Pavel Tokmakov, Martial Hebert, Cordelia Schmid

In this work we study the problem of action detection in a highly-imbalanced dataset.

Action Detection

A Structured Model For Action Detection

no code implementations CVPR 2019 Yubo Zhang, Pavel Tokmakov, Martial Hebert, Cordelia Schmid

A dominant paradigm for learning-based approaches in computer vision is training generic models, such as ResNet for image recognition, or I3D for video understanding, on large datasets and allowing them to discover the optimal representation for the problem at hand.

Action Detection Video Understanding

Gesture-based Bootstrapping for Egocentric Hand Segmentation

no code implementations9 Dec 2016 Yubo Zhang, Vishnu Naresh Boddeti, Kris M. Kitani

Concretely, our approach uses two convolutional neural networks: (1) a gesture network that uses pre-defined motion information to detect the hand region; and (2) an appearance network that learns a person specific model of the hand region based on the output of the gesture network.

Hand Segmentation

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