Antoni B. Chan

Wide-Area Crowd Counting: Multi-View Fusion Networks for Counting in Large Scenes

Crowd counting in single-view images has achieved outstanding performanc...
12/02/2020 ∙ by Qi Zhang, et al. ∙ 0 ∙ share

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Improve Generalization and Robustness of Neural Networks via Weight Scale Shifting Invariant Regularizations

Using weight decay to penalize the L2 norms of weights in neural network...
08/07/2020 ∙ by Ziquan Liu, et al. ∙ 0 ∙ share

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Tracking-by-Counting: Using Network Flows on Crowd Density Maps for Tracking Multiple Targets

State-of-the-art multi-object tracking (MOT) methods follow the tracking...
07/18/2020 ∙ by Weihong Ren, et al. ∙ 0 ∙ share

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Compare and Reweight: Distinctive Image Captioning Using Similar Images Sets

A wide range of image captioning models has been developed, achieving si...
07/14/2020 ∙ by Jiuniu Wang, et al. ∙ 0 ∙ share

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Fine-Grained Crowd Counting

Current crowd counting algorithms are only concerned about the number of...
07/13/2020 ∙ by Jia Wan, et al. ∙ 0 ∙ share

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Single-Frame based Deep View Synchronization for Unsynchronized Multi-Camera Surveillance

Multi-camera surveillance has been an active research topic for understa...
07/08/2020 ∙ by Qi Zhang, et al. ∙ 8 ∙ share

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Over-crowdedness Alert! Forecasting the Future Crowd Distribution

In recent years, vision-based crowd analysis has been studied extensivel...
06/09/2020 ∙ by Yuzhen Niu, et al. ∙ 0 ∙ share

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3D Crowd Counting via Multi-View Fusion with 3D Gaussian Kernels

Crowd counting has been studied for decades and a lot of works have achi...
03/18/2020 ∙ by Qi Zhang, et al. ∙ 13 ∙ share

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Towards Diverse and Accurate Image Captions via Reinforcing Determinantal Point Process

Although significant progress has been made in the field of automatic im...
08/14/2019 ∙ by Qingzhong Wang, et al. ∙ 0 ∙ share

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ROAM: Recurrently Optimizing Tracking Model

Online updating a tracking model to adapt to object appearance variation...
07/28/2019 ∙ by Tianyu Yang, et al. ∙ 0 ∙ share

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Visual Tracking via Dynamic Memory Networks

Template-matching methods for visual tracking have gained popularity rec...
07/12/2019 ∙ by Tianyu Yang, et al. ∙ 0 ∙ share

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Accelerating Monte Carlo Bayesian Inference via Approximating Predictive Uncertainty over Simplex

Estimating the uncertainty of a Bayesian model has been investigated for...
05/29/2019 ∙ by Yufei Cui, et al. ∙ 0 ∙ share

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Describing like humans: on diversity in image captioning

Recently, the state-of-the-art models for image captioning have overtake...
03/28/2019 ∙ by Qingzhong Wang, et al. ∙ 0 ∙ share

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A Fully Bayesian Infinite Generative Model for Dynamic Texture Segmentation

Generative dynamic texture models (GDTMs) are widely used for dynamic te...
01/13/2019 ∙ by Sahar Yousefi, et al. ∙ 0 ∙ share

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Gated Hierarchical Attention for Image Captioning

Attention modules connecting encoder and decoders have been widely appli...
10/30/2018 ∙ by Qingzhong Wang, et al. ∙ 0 ∙ share

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EMHMM Simulation Study

Eye Movement analysis with Hidden Markov Models (EMHMM) is a method for ...
10/17/2018 ∙ by Antoni B. Chan, et al. ∙ 0 ∙ share

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CNN+CNN: Convolutional Decoders for Image Captioning

Image captioning is a challenging task that combines the field of comput...
05/23/2018 ∙ by Qingzhong Wang, et al. ∙ 0 ∙ share

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Learning Dynamic Memory Networks for Object Tracking

Template-matching methods for visual tracking have gained popularity rec...
03/20/2018 ∙ by Tianyu Yang, et al. ∙ 0 ∙ share

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Recurrent Filter Learning for Visual Tracking

Recently using convolutional neural networks (CNNs) has gained popularit...
08/13/2017 ∙ by Tianyu Yang, et al. ∙ 0 ∙ share

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Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks - Counting, Detection, and Tracking

For crowded scenes, the accuracy of object-based computer vision methods...
05/29/2017 ∙ by Di Kang, et al. ∙ 0 ∙ share

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Color Orchestra: Ordering Color Palettes for Interpolation and Prediction

Color theme or color palette can deeply influence the quality and the fe...
03/17/2017 ∙ by Huy Q. Phan, et al. ∙ 0 ∙ share

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Crowd Counting by Adapting Convolutional Neural Networks with Side Information

Computer vision tasks often have side information available that is help...
11/21/2016 ∙ by Di Kang, et al. ∙ 0 ∙ share

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Heterogeneous Multi-task Learning for Human Pose Estimation with Deep Convolutional Neural Network

We propose an heterogeneous multi-task learning framework for human pose...
06/13/2014 ∙ by Sijin Li, et al. ∙ 0 ∙ share

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Leveraging Long-Term Predictions and Online-Learning in Agent-based Multiple Person Tracking

We present a multiple-person tracking algorithm, based on combining part...
02/10/2014 ∙ by Wenxi Liu, et al. ∙ 0 ∙ share

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On Approximate Inference for Generalized Gaussian Process Models

A generalized Gaussian process model (GGPM) is a unifying framework that...
11/25/2013 ∙ by Lifeng Shang, et al. ∙ 0 ∙ share

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Clustering hidden Markov models with variational HEM

The hidden Markov model (HMM) is a widely-used generative model that cop...
10/24/2012 ∙ by Emanuele Coviello, et al. ∙ 0 ∙ share

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Tech Report A Variational HEM Algorithm for Clustering Hidden Markov Models

The hidden Markov model (HMM) is a generative model that treats sequenti...
09/06/2011 ∙ by Emanuele Coviello, et al. ∙ 0 ∙ share

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Antoni B. Chan

Featured Co-authors

Dinesh Manocha

Qi Zhang

Xinchao Wang

Zheng Ma

Jia Pan

Pengfei Xu

Hongbo Fu

Wenxi Liu

Rynson W. H. Lau

Shengfeng He

Lifeng Shang

Wide-Area Crowd Counting: Multi-View Fusion Networks for Counting in Large Scenes

Improve Generalization and Robustness of Neural Networks via Weight Scale Shifting Invariant Regularizations

Tracking-by-Counting: Using Network Flows on Crowd Density Maps for Tracking Multiple Targets

Compare and Reweight: Distinctive Image Captioning Using Similar Images Sets

Fine-Grained Crowd Counting

Single-Frame based Deep View Synchronization for Unsynchronized Multi-Camera Surveillance

Over-crowdedness Alert! Forecasting the Future Crowd Distribution

3D Crowd Counting via Multi-View Fusion with 3D Gaussian Kernels

Towards Diverse and Accurate Image Captions via Reinforcing Determinantal Point Process

ROAM: Recurrently Optimizing Tracking Model

Visual Tracking via Dynamic Memory Networks

Accelerating Monte Carlo Bayesian Inference via Approximating Predictive Uncertainty over Simplex

Describing like humans: on diversity in image captioning

A Fully Bayesian Infinite Generative Model for Dynamic Texture Segmentation

Gated Hierarchical Attention for Image Captioning

EMHMM Simulation Study

CNN+CNN: Convolutional Decoders for Image Captioning

Learning Dynamic Memory Networks for Object Tracking

Recurrent Filter Learning for Visual Tracking

Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks - Counting, Detection, and Tracking

Color Orchestra: Ordering Color Palettes for Interpolation and Prediction

Crowd Counting by Adapting Convolutional Neural Networks with Side Information

Heterogeneous Multi-task Learning for Human Pose Estimation with Deep Convolutional Neural Network

Leveraging Long-Term Predictions and Online-Learning in Agent-based Multiple Person Tracking

On Approximate Inference for Generalized Gaussian Process Models

Clustering hidden Markov models with variational HEM

Tech Report A Variational HEM Algorithm for Clustering Hidden Markov Models