b'Yezhou Yang'

research

∙ 06/29/2022

Formalizing and Evaluating Requirements of Perception Systems for Automated Vehicles using Spatio-Temporal Perception Logic

Automated vehicles (AV) heavily depend on robust perception systems. Cur...

Mohammad Hekmatnejad, et al. ∙

research

∙ 04/28/2022

Tragedy Plus Time: Capturing Unintended Human Activities from Weakly-labeled Videos

In videos that contain actions performed unintentionally, agents do not ...

Arnav Chakravarthy, et al. ∙

research

∙ 04/27/2022

SSR-GNNs: Stroke-based Sketch Representation with Graph Neural Networks

This paper follows cognitive studies to investigate a graph representati...

Sheng Cheng, et al. ∙

research

∙ 02/17/2022

Attributable-Watermarking of Speech Generative Models

Generative models are now capable of synthesizing images, speeches, and ...

Yongbaek Cho, et al. ∙

research

∙ 12/09/2021

Injecting Semantic Concepts into End-to-End Image Captioning

Tremendous progress has been made in recent years in developing better i...

Zhiyuan Fang, et al. ∙

research

∙ 09/16/2021

Targeted Attack on Deep RL-based Autonomous Driving with Learned Visual Patterns

Recent studies demonstrated the vulnerability of control policies learne...

Prasanth Buddareddygari, et al. ∙

research

∙ 06/02/2021

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...

Joshua Feinglass, et al. ∙

research

∙ 04/13/2021

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 ...

Shailaja Keyur Sampat, et al. ∙

research

∙ 04/05/2021

Compressing Visual-linguistic Model via Knowledge Distillation

Despite exciting progress in pre-training for visual-linguistic (VL) rep...

Zhiyuan Fang, et al. ∙

research

∙ 04/02/2021

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

Traffic monitoring cameras are powerful tools for traffic management and...

Duo Lu, et al. ∙

research

∙ 01/12/2021

SEED: Self-supervised Distillation For Visual Representation

This paper is concerned with self-supervised learning for small models. ...

Zhiyuan Fang, et al. ∙

research

∙ 12/04/2020

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

Methodologies for training VQA models assume the availability of dataset...

Pratyay Banerjee, et al. ∙

research

∙ 10/27/2020

Decentralized Attribution of Generative Models

There have been growing concerns regarding the fabrication of contents t...

Changhoon Kim, et al. ∙

research

∙ 09/18/2020

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

While progress has been made on the visual question answering leaderboar...

Tejas Gokhale, et al. ∙

research

∙ 07/13/2020

Low to High Dimensional Modality Hallucination using Aggregated Fields of View

Real-world robotics systems deal with data from a multitude of modalitie...

Kausic Gunasekar, et al. ∙

research

∙ 06/21/2020

Weak Supervision and Referring Attention for Temporal-Textual Association Learning

A system capturing the association between video frames and textual quer...

Zhiyuan Fang, et al. ∙

research

∙ 05/15/2020

Resisting the Distracting-factors in Pedestrian Detection

Pedestrian detection has been heavily studied in the last decade due to ...

Zhe Wang, et al. ∙

research

∙ 05/15/2020

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

Person search by natural language aims at retrieving a specific person i...

Zhe Wang, et al. ∙

research

∙ 05/08/2020

Learning hierarchical behavior and motion planning for autonomous driving

Learning-based driving solution, a new branch for autonomous driving, is...

Jingke Wang, et al. ∙

research

∙ 05/01/2020

Diverse Visuo-Lingustic Question Answering (DVLQA) Challenge

Existing question answering datasets mostly contain homogeneous contexts...

Shailaja Sampat, et al. ∙

research

∙ 04/30/2020

memeBot: Towards Automatic Image Meme Generation

Image memes have become a widespread tool used by people for interacting...

Aadhavan Sadasivam, et al. ∙

research

∙ 04/13/2020

Enabling Incremental Knowledge Transfer for Object Detection at the Edge

Object detection using deep neural networks (DNNs) involves a huge amoun...

Mohammad Farhadi Bajestani, et al. ∙

research

∙ 03/11/2020

Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning

Captioning is a crucial and challenging task for video understanding. In...

Zhiyuan Fang, et al. ∙

research

∙ 02/26/2020

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

Visual Indoor Navigation (VIN) task has drawn increasing attentions from...

Xin Ye, et al. ∙

research

∙ 02/19/2020

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

Logical connectives and their implications on the meaning of a natural l...

Tejas Gokhale, et al. ∙

research

∙ 10/21/2019

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

Textual distractors in current multi-choice VQA datasets are not challen...

Jiaying Lu, et al. ∙

research

∙ 09/05/2019

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

Nowadays most research in visual recognition using Convolutional Neural ...

Mohammad Farhadi, et al. ∙

research

∙ 06/24/2019

Integrating Knowledge and Reasoning in Image Understanding

Deep learning based data-driven approaches have been successfully applie...

Somak Aditya, et al. ∙

research

∙ 05/28/2019

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

The process of identifying changes or transformations in a scene along w...

Tejas Gokhale, et al. ∙

research

∙ 05/15/2019

Fluorescence Image Histology Pattern Transformation using Image Style Transfer

Confocal laser endomicroscopy (CLE) allow on-the-fly in vivo intraoperat...

Mohammadhassan Izadyyazdanabadi, et al. ∙

research

∙ 04/19/2019

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...

Varun Chandra Jammula, et al. ∙

research

∙ 04/07/2019

Modularized Textual Grounding for Counterfactual Resilience

Computer Vision applications often require a textual grounding module wi...

Zhiyuan Fang, et al. ∙

research

∙ 03/04/2019

TKD: Temporal Knowledge Distillation for Active Perception

Deep neural networks based methods have been proved to achieve outstandi...

Mohammad Farhadi, et al. ∙

research

∙ 02/09/2019

Image Decomposition and Classification through a Generative Model

We demonstrate in this paper that a generative model can be designed to ...

Houpu Yao, et al. ∙

research

∙ 01/31/2019

Improving Model Robustness with Transformation-Invariant Attacks

Vulnerability of neural networks under adversarial attacks has raised se...

Houpu Yao, et al. ∙

research

∙ 01/28/2019

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

While intelligence of autonomous vehicles (AVs) has significantly advanc...

Yi Ren, et al. ∙

research

∙ 12/10/2018

Spatial Knowledge Distillation to aid Visual Reasoning

For tasks involving language and vision, the current state-of-the-art me...

Somak Aditya, et al. ∙

research

∙ 09/21/2018

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...

Xin Ye, et al. ∙

research

∙ 07/30/2018

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...

Xin Ye, et al. ∙

research

∙ 06/13/2018

Interpretable Partitioned Emebedding for Customized Fashion Outfit Composition

Intelligent fashion outfit composition becomes more and more popular in ...

Zunlei Feng, et al. ∙

research

∙ 06/13/2018

Interpretable Partitioned Embedding for Customized Fashion Outfit Composition

Intelligent fashion outfit composition becomes more and more popular in ...

Zunlei Feng, et al. ∙

research

∙ 05/01/2018

Weakly Supervised Attention Learning for Textual Phrases Grounding

Grounding textual phrases in visual content is a meaningful yet challeng...

Zhiyuan Fang, et al. ∙

research

∙ 04/26/2018

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

Confocal laser endomicroscopy (CLE) is an advanced optical fluorescence ...

Mohammadhassan Izadyyazdanabadi, et al. ∙

research

∙ 04/25/2018

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

Confocal Laser Endomicroscope (CLE) is a novel handheld fluorescence ima...

Mohammadhassan Izadyyazdanabadi, et al. ∙

research

∙ 03/30/2018

Transductive Unbiased Embedding for Zero-Shot Learning

Most existing Zero-Shot Learning (ZSL) methods have the strong bias prob...

Jie Song, et al. ∙

research

∙ 03/23/2018

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

Many vision and language tasks require commonsense reasoning beyond data...

Somak Aditya, et al. ∙

research

∙ 02/20/2018

Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields

Recently, in the community of Neural Style Transfer, several algorithms ...

Yongcheng Jing, et al. ∙

research

∙ 01/29/2018

DeepSIC: Deep Semantic Image Compression

Incorporating semantic information into the codecs during image compress...

Sihui Luo, et al. ∙

research

∙ 01/06/2018

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...

Mohammadhassan Izadyyazdanabadi, et al. ∙

research

∙ 11/14/2017

TripletGAN: Training Generative Model with Triplet Loss

As an effective way of metric learning, triplet loss has been widely use...

Gongze Cao, et al. ∙

Yezhou Yang

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