David Crandall

research

∙ 03/29/2023

A Tensor-based Convolutional Neural Network for Small Dataset Classification

Inspired by the ConvNets with structured hidden representations, we prop...

0 Zhenhua Chen, et al. ∙

research

∙ 03/05/2023

SePaint: Semantic Map Inpainting via Multinomial Diffusion

Prediction beyond partial observations is crucial for robots to navigate...

0 Zheng Chen, et al. ∙

research

∙ 01/19/2023

LoCoNet: Long-Short Context Network for Active Speaker Detection

Active Speaker Detection (ASD) aims to identify who is speaking in each ...

0 Xizi Wang, et al. ∙

research

∙ 12/09/2022

VindLU: A Recipe for Effective Video-and-Language Pretraining

The last several years have witnessed remarkable progress in video-and-l...

6 Feng Cheng, et al. ∙

research

∙ 09/22/2022

Attention is All They Need: Exploring the Media Archaeology of the Computer Vision Research Paper

The success of deep learning has led to the rapid transformation and gro...

0 Samuel Goree, et al. ∙

research

∙ 08/15/2022

Action Recognition based on Cross-Situational Action-object Statistics

Machine learning models of visual action recognition are typically train...

4 Satoshi Tsutsui, et al. ∙

research

∙ 07/26/2022

Graph Neural Network and Spatiotemporal Transformer Attention for 3D Video Object Detection from Point Clouds

Previous works for LiDAR-based 3D object detection mainly focus on the s...

0 Junbo Yin, et al. ∙

research

∙ 04/22/2022

Reinforcing Generated Images via Meta-learning for One-Shot Fine-Grained Visual Recognition

One-shot fine-grained visual recognition often suffers from the problem ...

0 Satoshi Tsutsui, et al. ∙

research

∙ 12/19/2021

Controlling the Quality of Distillation in Response-Based Network Compression

The performance of a distillation-based compressed network is governed b...

0 Vibhas Vats, et al. ∙

research

∙ 11/15/2021

Error Diagnosis of Deep Monocular Depth Estimation Models

Estimating depth from a monocular image is an ill-posed problem: when th...

0 Jagpreet Chawla, et al. ∙

research

∙ 10/29/2021

Polyline Based Generative Navigable Space Segmentation for Autonomous Visual Navigation

Detecting navigable space is a fundamental capability for mobile robots ...

5 Zheng Chen, et al. ∙

research

∙ 07/15/2021

Applying the Case Difference Heuristic to Learn Adaptations from Deep Network Features

The case difference heuristic (CDH) approach is a knowledge-light method...

0 Xiaomeng Ye, et al. ∙

research

∙ 07/02/2021

A Survey on Deep Learning Technique for Video Segmentation

Video segmentation, i.e., partitioning video frames into multiple segmen...

0 Wenguan Wang, et al. ∙

research

∙ 06/12/2021

Reverse-engineer the Distributional Structure of Infant Egocentric Views for Training Generalizable Image Classifiers

We analyze egocentric views of attended objects from infants. This paper...

4 Satoshi Tsutsui, et al. ∙

research

∙ 04/06/2021

How to Accelerate Capsule Convolutions in Capsule Networks

How to improve the efficiency of routing procedures in CapsNets has been...

0 Zhenhua Chen, et al. ∙

research

∙ 11/23/2020

Hierarchically Decoupled Spatial-Temporal Contrast for Self-supervised Video Representation Learning

We present a novel way for self-supervised video representation learning...

0 Zehua Zhang, et al. ∙

research

∙ 11/17/2020

Whose hand is this? Person Identification from Egocentric Hand Gestures

Recognizing people by faces and other biometrics has been extensively st...

3 Satoshi Tsutsui, et al. ∙

research

∙ 10/08/2020

Deep Tiered Image Segmentation forDetecting Internal Ice Layers in Radar Imagery

Understanding the structure of the ice at the Earth's poles is important...

0 Yuchen Wang, et al. ∙

research

∙ 06/04/2020

A Computational Model of Early Word Learning from the Infant's Point of View

Human infants have the remarkable ability to learn the associations betw...

22 Satoshi Tsutsui, et al. ∙

research

∙ 04/06/2020

When, Where, and What? A New Dataset for Anomaly Detection in Driving Videos

Video anomaly detection (VAD) has been extensively studied. However, res...

0 Yu Yao, et al. ∙

research

∙ 03/31/2020

HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation

Hand-object pose estimation (HOPE) aims to jointly detect the poses of b...

10 Bardia Doosti, et al. ∙

research

∙ 03/12/2020

Interaction Graphs for Object Importance Estimation in On-road Driving Videos

A vehicle driving along the road is surrounded by many objects, but only...

0 Zehua Zhang, et al. ∙

research

∙ 03/10/2020

Learning Video Object Segmentation from Unlabeled Videos

We propose a new method for video object segmentation (VOS) that address...

0 Xiankai Lu, et al. ∙

research

∙ 01/19/2020

Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks

This work proposes a novel attentive graph neural network (AGNN) for zer...

18 Wenguan Wang, et al. ∙

research

∙ 12/18/2019

P-CapsNets: a General Form of Convolutional Neural Networks

We propose Pure CapsNets (P-CapsNets) which is a generation of normal CN...

117 Zhenhua Chen, et al. ∙

research

∙ 11/17/2019

Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition

One-shot fine-grained visual recognition often suffers from the problem ...

0 Satoshi Tsutsui, et al. ∙

research

∙ 10/31/2019

A Self Validation Network for Object-Level Human Attention Estimation

Due to the foveated nature of the human vision system, people can focus ...

8 Zehua Zhang, et al. ∙

research

∙ 06/04/2019

Active Object Manipulation Facilitates Visual Object Learning: An Egocentric Vision Study

Inspired by the remarkable ability of the infant visual learning system,...

0 Satoshi Tsutsui, et al. ∙

research

∙ 04/12/2019

Conveying Situational Information to People with Visual Impairments

Knowing who is in one's vicinity is key to managing privacy in everyday ...

0 Tousif Ahmed, et al. ∙

research

∙ 04/09/2019

Embodied Visual Recognition

Passive visual systems typically fail to recognize objects in the amodal...

22 Jianwei Yang, et al. ∙

research

∙ 12/02/2018

Unsupervised Domain Adaptation using Generative Models and Self-ensembling

Transferring knowledge across different datasets is an important approac...

0 Eman T. Hassan, et al. ∙

research

∙ 08/27/2018

Generalized Capsule Networks with Trainable Routing Procedure

CapsNet (Capsule Network) was first proposed by capsule and later anothe...

0 Zhenhua Chen, et al. ∙

research

∙ 02/21/2018

Detecting Small, Densely Distributed Objects with Filter-Amplifier Networks and Loss Boosting

Detecting small, densely distributed objects is a significant challenge:...

0 Zhenhua Chen, et al. ∙

research

∙ 06/20/2017

Using Artificial Tokens to Control Languages for Multilingual Image Caption Generation

Recent work in computer vision has yielded impressive results in automat...

0 Satoshi Tsutsui, et al. ∙

research

∙ 03/15/2017

A Hybrid Supervised-unsupervised Method on Image Topic Visualization with Convolutional Neural Network and LDA

Given the progress in image recognition with recent data driven paradigm...

0 Kai Zhen, et al. ∙

research

∙ 03/15/2017

A Data Driven Approach for Compound Figure Separation Using Convolutional Neural Networks

A key problem in automatic analysis and understanding of scientific pape...

0 Satoshi Tsutsui, et al. ∙

research

∙ 10/07/2016

Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models

Neural sequence models are widely used to model time-series data in many...

0 Ashwin K Vijayakumar, et al. ∙

research

∙ 06/24/2016

Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles

Many practical perception systems exist within larger processes that inc...

0 Stefan Lee, et al. ∙

research

∙ 01/01/2016

Sentiment/Subjectivity Analysis Survey for Languages other than English

Subjective and sentiment analysis have gained considerable attention rec...

0 Mohammed Korayem, et al. ∙

research

∙ 11/19/2015

Why M Heads are Better than One: Training a Diverse Ensemble of Deep Networks

Convolutional Neural Networks have achieved state-of-the-art performance...

0 Stefan Lee, et al. ∙

research

∙ 09/26/2012

PlaceRaider: Virtual Theft in Physical Spaces with Smartphones

As smartphones become more pervasive, they are increasingly targeted by ...

0 Robert Templeman, et al. ∙

David Crandall

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