Yezhou Yang

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University of Maryland ∙ Arizona State University ∙ Association for Computing Machinery

Assistant Professor at School of Computing, Informatics, and Decision Systems at Engineering, Arizona State University.

Low to High Dimensional Modality Hallucination using Aggregated Fields of View

Real-world robotics systems deal with data from a multitude of modalitie...
07/13/2020 ∙ by Kausic Gunasekar, et al. ∙ 8 ∙ share

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Weak Supervision and Referring Attention for Temporal-Textual Association Learning

A system capturing the association between video frames and textual quer...
06/21/2020 ∙ by Zhiyuan Fang, et al. ∙ 6 ∙ share

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Resisting the Distracting-factors in Pedestrian Detection

Pedestrian detection has been heavily studied in the last decade due to ...
05/15/2020 ∙ by Zhe Wang, et al. ∙ 0 ∙ share

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ViTAA: Visual-Textual Attributes Alignment in Person Search by Natural Language

Person search by natural language aims at retrieving a specific person i...
05/15/2020 ∙ by Zhe Wang, et al. ∙ 1 ∙ share

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Learning hierarchical behavior and motion planning for autonomous driving

Learning-based driving solution, a new branch for autonomous driving, is...
05/08/2020 ∙ by Jingke Wang, et al. ∙ 0 ∙ share

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Diverse Visuo-Lingustic Question Answering (DVLQA) Challenge

Existing question answering datasets mostly contain homogeneous contexts...
05/01/2020 ∙ by Shailaja Sampat, et al. ∙ 6 ∙ share

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memeBot: Towards Automatic Image Meme Generation

Image memes have become a widespread tool used by people for interacting...
04/30/2020 ∙ by Aadhavan Sadasivam, et al. ∙ 0 ∙ share

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Enabling Incremental Knowledge Transfer for Object Detection at the Edge

Object detection using deep neural networks (DNNs) involves a huge amoun...
04/13/2020 ∙ by Mohammad Farhadi Bajestani, et al. ∙ 0 ∙ share

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Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning

Captioning is a crucial and challenging task for video understanding. In...
03/11/2020 ∙ by Zhiyuan Fang, et al. ∙ 37 ∙ share

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From Seeing to Moving: A Survey on Learning for Visual Indoor Navigation (VIN)

Visual Indoor Navigation (VIN) task has drawn increasing attentions from...
02/26/2020 ∙ by Xin Ye, et al. ∙ 0 ∙ share

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VQA-LOL: Visual Question Answering under the Lens of Logic

Logical connectives and their implications on the meaning of a natural l...
02/19/2020 ∙ by Tejas Gokhale, et al. ∙ 23 ∙ share

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Good, Better, Best: Textual Distractors Generation for Multi-Choice VQA via Policy Gradient

Textual distractors in current multi-choice VQA datasets are not challen...
10/21/2019 ∙ by Jiaying Lu, et al. ∙ 0 ∙ share

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A Novel Design of Adaptive and Hierarchical Convolutional Neural Networks using Partial Reconfiguration on FPGA

Nowadays most research in visual recognition using Convolutional Neural ...
09/05/2019 ∙ by Mohammad Farhadi, et al. ∙ 6 ∙ share

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Integrating Knowledge and Reasoning in Image Understanding

Deep learning based data-driven approaches have been successfully applie...
06/24/2019 ∙ by Somak Aditya, et al. ∙ 0 ∙ share

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Blocksworld Revisited: Learning and Reasoning to Generate Event-Sequences from Image Pairs

The process of identifying changes or transformations in a scene along w...
05/28/2019 ∙ by Tejas Gokhale, et al. ∙ 0 ∙ share

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Fluorescence Image Histology Pattern Transformation using Image Style Transfer

Confocal laser endomicroscopy (CLE) allow on-the-fly in vivo intraoperat...
05/15/2019 ∙ by Mohammadhassan Izadyyazdanabadi, et al. ∙ 0 ∙ share

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Active Adversarial Evader Tracking with a Probabilistic Pursuer under the Pursuit-Evasion Game Framework

Given a mapped environment, we formulate the problem of visually trackin...
04/19/2019 ∙ by Varun Chandra Jammula, et al. ∙ 0 ∙ share

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Modularized Textual Grounding for Counterfactual Resilience

Computer Vision applications often require a textual grounding module wi...
04/07/2019 ∙ by Zhiyuan Fang, et al. ∙ 0 ∙ share

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TKD: Temporal Knowledge Distillation for Active Perception

Deep neural networks based methods have been proved to achieve outstandi...
03/04/2019 ∙ by Mohammad Farhadi, et al. ∙ 0 ∙ share

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Image Decomposition and Classification through a Generative Model

We demonstrate in this paper that a generative model can be designed to ...
02/09/2019 ∙ by Houpu Yao, et al. ∙ 0 ∙ share

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Improving Model Robustness with Transformation-Invariant Attacks

Vulnerability of neural networks under adversarial attacks has raised se...
01/31/2019 ∙ by Houpu Yao, et al. ∙ 0 ∙ share

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How Shall I Drive? Interaction Modeling and Motion Planning towards Empathetic and Socially-Graceful Driving

While intelligence of autonomous vehicles (AVs) has significantly advanc...
01/28/2019 ∙ by Yi Ren, et al. ∙ 0 ∙ share

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Spatial Knowledge Distillation to aid Visual Reasoning

For tasks involving language and vision, the current state-of-the-art me...
12/10/2018 ∙ by Somak Aditya, et al. ∙ 0 ∙ share

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GAPLE: Generalizable Approaching Policy LEarning for Robotic Object Searching in Indoor Environment

We study the problem of learning a generalizable action policy for an in...
09/21/2018 ∙ by Xin Ye, et al. ∙ 0 ∙ share

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Active Object Perceiver: Recognition-guided Policy Learning for Object Searching on Mobile Robots

We study the problem of learning a navigation policy for a robot to acti...
07/30/2018 ∙ by Xin Ye, et al. ∙ 0 ∙ share

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Interpretable Partitioned Emebedding for Customized Fashion Outfit Composition

Intelligent fashion outfit composition becomes more and more popular in ...
06/13/2018 ∙ by Zunlei Feng, et al. ∙ 6 ∙ share

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Interpretable Partitioned Embedding for Customized Fashion Outfit Composition

Intelligent fashion outfit composition becomes more and more popular in ...
06/13/2018 ∙ by Zunlei Feng, et al. ∙ 0 ∙ share

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Weakly Supervised Attention Learning for Textual Phrases Grounding

Grounding textual phrases in visual content is a meaningful yet challeng...
05/01/2018 ∙ by Zhiyuan Fang, et al. ∙ 0 ∙ share

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Prospects for Theranostics in Neurosurgical Technology: Empowering Confocal Laser Endomicroscopy Diagnostics via Deep Learning

Confocal laser endomicroscopy (CLE) is an advanced optical fluorescence ...
04/26/2018 ∙ by Mohammadhassan Izadyyazdanabadi, et al. ∙ 0 ∙ share

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Weakly-Supervised Learning-Based Feature Localization in Confocal Laser Endomicroscopy Glioma Images

Confocal Laser Endomicroscope (CLE) is a novel handheld fluorescence ima...
04/25/2018 ∙ by Mohammadhassan Izadyyazdanabadi, et al. ∙ 0 ∙ share

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Transductive Unbiased Embedding for Zero-Shot Learning

Most existing Zero-Shot Learning (ZSL) methods have the strong bias prob...
03/30/2018 ∙ by Jie Song, et al. ∙ 0 ∙ share

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Explicit Reasoning over End-to-End Neural Architectures for Visual Question Answering

Many vision and language tasks require commonsense reasoning beyond data...
03/23/2018 ∙ by Somak Aditya, et al. ∙ 0 ∙ share

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Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields

Recently, in the community of Neural Style Transfer, several algorithms ...
02/20/2018 ∙ by Yongcheng Jing, et al. ∙ 0 ∙ share

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DeepSIC: Deep Semantic Image Compression

Incorporating semantic information into the codecs during image compress...
01/29/2018 ∙ by Sihui Luo, et al. ∙ 0 ∙ share

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Improving utility of brain tumor confocal laser endomicroscopy: objective value assessment and diagnostic frame detection with convolutional neural networks

Confocal laser endomicroscopy (CLE), although capable of obtaining image...
01/06/2018 ∙ by Mohammadhassan Izadyyazdanabadi, et al. ∙ 0 ∙ share

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TripletGAN: Training Generative Model with Triplet Loss

As an effective way of metric learning, triplet loss has been widely use...
11/14/2017 ∙ by Gongze Cao, et al. ∙ 0 ∙ share

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Convolutional Neural Networks: Ensemble Modeling, Fine-Tuning and Unsupervised Semantic Localization for Intraoperative CLE Images

Confocal laser endomicroscopy (CLE) is an advanced optical fluorescence ...
09/10/2017 ∙ by Mohammadhassan Izadyyazdanabadi, et al. ∙ 0 ∙ share

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On the Importance of Consistency in Training Deep Neural Networks

We explain that the difficulties of training deep neural networks come f...
08/02/2017 ∙ by Chengxi Ye, et al. ∙ 0 ∙ share

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Neural Style Transfer: A Review

The recent work of Gatys et al. demonstrated the power of Convolutional ...
05/11/2017 ∙ by Yongcheng Jing, et al. ∙ 0 ∙ share

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Answering Image Riddles using Vision and Reasoning through Probabilistic Soft Logic

In this work, we explore a genre of puzzles ("image riddles") which invo...
11/17/2016 ∙ by Somak Aditya, et al. ∙ 0 ∙ share

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Fast Task-Specific Target Detection via Graph Based Constraints Representation and Checking

In this work, we present a fast target detection framework for real-worl...
11/14/2016 ∙ by Went Luan, et al. ∙ 0 ∙ share

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Prediction of Manipulation Actions

Looking at a person's hands one often can tell what the person is going ...
10/03/2016 ∙ by Cornelia Fermuller, et al. ∙ 0 ∙ share

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Reliable Attribute-Based Object Recognition Using High Predictive Value Classifiers

We consider the problem of object recognition in 3D using an ensemble of...
09/12/2016 ∙ by Wentao Luan, et al. ∙ 0 ∙ share

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LightNet: A Versatile, Standalone Matlab-based Environment for Deep Learning

LightNet is a lightweight, versatile and purely Matlab-based deep learni...
05/09/2016 ∙ by Chengxi Ye, et al. ∙ 0 ∙ share

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What Can I Do Around Here? Deep Functional Scene Understanding for Cognitive Robots

For robots that have the capability to interact with the physical enviro...
01/29/2016 ∙ by Chengxi Ye, et al. ∙ 0 ∙ share

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Neural Self Talk: Image Understanding via Continuous Questioning and Answering

In this paper we consider the problem of continuously discovering image ...
12/10/2015 ∙ by Yezhou Yang, et al. ∙ 0 ∙ share

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Learning the Semantics of Manipulation Action

In this paper we present a formal computational framework for modeling m...
12/04/2015 ∙ by Yezhou Yang, et al. ∙ 0 ∙ share

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From Images to Sentences through Scene Description Graphs using Commonsense Reasoning and Knowledge

In this paper we propose the construction of linguistic descriptions of ...
11/10/2015 ∙ by Somak Aditya, et al. ∙ 0 ∙ share

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Yezhou Yang

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