b'Minh Hoai'

research

∙ 09/11/2023

Interactive Class-Agnostic Object Counting

We propose a novel framework for interactive class-agnostic object count...

0 Yifeng Huang, et al. ∙

research

∙ 04/04/2023

HyperCUT: Video Sequence from a Single Blurry Image using Unsupervised Ordering

We consider the challenging task of training models for image-to-video d...

0 Bang-Dang Pham, et al. ∙

research

∙ 03/27/2023

Gazeformer: Scalable, Effective and Fast Prediction of Goal-Directed Human Attention

Predicting human gaze is important in Human-Computer Interaction (HCI). ...

0 Sounak Mondal, et al. ∙

research

∙ 03/16/2023

Predicting Human Attention using Computational Attention

Most models of visual attention are aimed at predicting either top-down ...

0 Zhibo Yang, et al. ∙

research

∙ 11/20/2022

Patch-level Gaze Distribution Prediction for Gaze Following

Gaze following aims to predict where a person is looking in a scene, by ...

0 Qiaomu Miao, et al. ∙

research

∙ 10/28/2022

Self-Supervised Learning with Multi-View Rendering for 3D Point Cloud Analysis

Recently, great progress has been made in 3D deep learning with the emer...

0 Bach Tran, et al. ∙

research

∙ 10/12/2022

Distilling Knowledge from Language Models for Video-based Action Anticipation

Anticipating future actions in a video is useful for many autonomous and...

0 Sayontan Ghosh, et al. ∙

research

∙ 07/04/2022

Target-absent Human Attention

The prediction of human gaze behavior is important for building human-co...

0 Zhibo Yang, et al. ∙

research

∙ 05/27/2022

Exemplar Free Class Agnostic Counting

We tackle the task of Class Agnostic Counting, which aims to count objec...

0 Viresh Ranjan, et al. ∙

research

∙ 09/06/2021

Toward Realistic Single-View 3D Object Reconstruction with Unsupervised Learning from Multiple Images

Recovering the 3D structure of an object from a single image is a challe...

0 Long-Nhat Ho, et al. ∙

research

∙ 04/16/2021

Learning To Count Everything

Existing works on visual counting primarily focus on one specific catego...

0 Viresh Ranjan, et al. ∙

research

∙ 04/08/2021

Progressive Semantic Segmentation

The objective of this work is to segment high-resolution images without ...

0 Chuong Huynh, et al. ∙

research

∙ 04/05/2021

Lipstick ain't enough: Beyond Color Matching for In-the-Wild Makeup Transfer

Makeup transfer is the task of applying on a source face the makeup styl...

0 Thao Nguyen, et al. ∙

research

∙ 04/01/2021

Explore Image Deblurring via Blur Kernel Space

This paper introduces a method to encode the blur operators of an arbitr...

0 Phong Tran, et al. ∙

research

∙ 03/01/2021

FineNet: Frame Interpolation and Enhancement for Face Video Deblurring

The objective of this work is to deblur face videos. We propose a method...

0 Phong Tran, et al. ∙

research

∙ 11/17/2020

Structural and Functional Decomposition for Personality Image Captioning in a Communication Game

Personality image captioning (PIC) aims to describe an image with a natu...

0 Thu Nguyen, et al. ∙

research

∙ 10/19/2020

Detecting Hands and Recognizing Physical Contact in the Wild

We investigate a new problem of detecting hands and recognizing their ph...

0 Supreeth Narasimhaswamy, et al. ∙

research

∙ 09/30/2020

Uncertainty Estimation and Sample Selection for Crowd Counting

We present a method for image-based crowd counting, one that can predict...

15 Viresh Ranjan, et al. ∙

research

∙ 09/28/2020

Distribution Matching for Crowd Counting

In crowd counting, each training image contains multiple people, where e...

4 Boyu Wang, et al. ∙

research

∙ 09/14/2020

A Study of Human Gaze Behavior During Visual Crowd Counting

In this paper, we describe our study on how humans allocate their attent...

0 Raji Annadi, et al. ∙

research

∙ 05/28/2020

Predicting Goal-directed Human Attention Using Inverse Reinforcement Learning

Being able to predict human gaze behavior has obvious importance for beh...

3 Zhibo Yang, et al. ∙

research

∙ 01/31/2020

Predicting Goal-directed Attention Control Using Inverse-Reinforcement Learning

Understanding how goal states control behavior is a question ripe for in...

21 Gregory J. Zelinsky, et al. ∙

research

∙ 10/10/2019

Visual Understanding of Multiple Attributes Learning Model of X-Ray Scattering Images

This extended abstract presents a visualization system, which is designe...

0 Xinyi Huang, et al. ∙

research

∙ 04/10/2019

Attentive Action and Context Factorization

We propose a method for human action recognition, one that can localize ...

0 Yang Wang, et al. ∙

research

∙ 04/09/2019

Contextual Attention for Hand Detection in the Wild

We present Hand-CNN, a novel convolutional network architecture for dete...

0 Supreeth Narasimhaswamy, et al. ∙

research

∙ 04/09/2019

Back to the Future: Knowledge Distillation for Human Action Anticipation

We consider the task of training a neural network to anticipate human ac...

0 Vinh Tran, et al. ∙

research

∙ 02/19/2019

BusyHands: A Hand-Tool Interaction Database for Assembly Tasks Semantic Segmentation

Visual segmentation has seen tremendous advancement recently with ready ...

4 Roy Shilkrot, et al. ∙

research

∙ 01/09/2019

GIF2Video: Color Dequantization and Temporal Interpolation of GIF images

Graphics Interchange Format (GIF) is a highly portable graphics format t...

8 Yang Wang, et al. ∙

research

∙ 08/11/2018

Fake Sentence Detection as a Training Task for Sentence Encoding

Sentence encoders are typically trained on language modeling tasks which...

0 Viresh Ranjan, et al. ∙

research

∙ 07/26/2018

Iterative Crowd Counting

In this work, we tackle the problem of crowd counting in images. We pres...

2 Viresh Ranjan, et al. ∙

research

∙ 12/04/2017

A+D-Net: Shadow Detection with Adversarial Shadow Attenuation

Single image shadow detection is a very challenging problem because of t...

1 Hieu Le, et al. ∙

research

∙ 11/10/2016

X-ray Scattering Image Classification Using Deep Learning

Visual inspection of x-ray scattering images is a powerful technique for...

0 Boyu Wang, et al. ∙

research

∙ 05/31/2016

Latent Bi-constraint SVM for Video-based Object Recognition

We address the task of recognizing objects from video input. This import...

0 Yang Liu, et al. ∙

research

∙ 04/21/2016

Improving Human Action Recognition by Non-action Classification

In this paper we consider the task of recognizing human actions in reali...

0 Yang Wang, et al. ∙

Minh Hoai

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