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.

SMURF: SeMantic and linguistic UndeRstanding Fusion for Caption Evaluation via Typicality Analysis

The open-ended nature of visual captioning makes it a challenging area f...
06/02/2021 ∙ by Joshua Feinglass, et al. ∙ 0 ∙ share

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CLEVR_HYP: A Challenge Dataset and Baselines for Visual Question Answering with Hypothetical Actions over Images

Most existing research on visual question answering (VQA) is limited to ...
04/13/2021 ∙ by Shailaja Keyur Sampat, et al. ∙ 0 ∙ share

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Compressing Visual-linguistic Model via Knowledge Distillation

Despite exciting progress in pre-training for visual-linguistic (VL) rep...
04/05/2021 ∙ by Zhiyuan Fang, et al. ∙ 0 ∙ share

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CAROM – Vehicle Localization and Traffic Scene Reconstruction from Monocular Cameras on Road Infrastructures

Traffic monitoring cameras are powerful tools for traffic management and...
04/02/2021 ∙ by Duo Lu, et al. ∙ 0 ∙ share

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SEED: Self-supervised Distillation For Visual Representation

This paper is concerned with self-supervised learning for small models. ...
01/12/2021 ∙ by Zhiyuan Fang, et al. ∙ 2 ∙ share

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Self-Supervised VQA: Answering Visual Questions using Images and Captions

Methodologies for training VQA models assume the availability of dataset...
12/04/2020 ∙ by Pratyay Banerjee, et al. ∙ 3 ∙ share

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Decentralized Attribution of Generative Models

There have been growing concerns regarding the fabrication of contents t...
10/27/2020 ∙ by Changhoon Kim, et al. ∙ 0 ∙ share

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MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering

While progress has been made on the visual question answering leaderboar...
09/18/2020 ∙ by Tejas Gokhale, et al. ∙ 8 ∙ share

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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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Yezhou Yang

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