Seoyoung Ahn

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All published works
Action Title Year Authors
+ PDF Chat Look Hear: Gaze Prediction for Speech-directed Human Attention 2024 Sounak Mondal
Seoyoung Ahn
Zhibo Yang
Niranjan Balasubramanian
Dimitris Samaras
Gregory J. Zelinsky
Minh Hoai
+ PDF Chat Gazeformer: Scalable, Effective and Fast Prediction of Goal-Directed Human Attention 2023 Sounak Mondal
Zhibo Yang
Seoyoung Ahn
Dimitris Samaras
Gregory J. Zelinsky
Minh Hoai
+ Predicting Human Attention using Computational Attention 2023 Zhibo Yang
Sounak Mondal
Seoyoung Ahn
Gregory J. Zelinsky
Minh Hoai
Dimitris Samaras
+ Gazeformer: Scalable, Effective and Fast Prediction of Goal-Directed Human Attention 2023 Sounak Mondal
Zhibo Yang
Seoyoung Ahn
Dimitris Samaras
Gregory J. Zelinsky
Minh Hoai
+ Affinity-based Attention in Self-supervised Transformers Predicts Dynamics of Object Grouping in Humans 2023 Hossein Adeli
Seoyoung Ahn
Nikolaus Kriegeskorte
Gregory J. Zelinsky
+ PDF Chat Predicting Visual Attention in Graphic Design Documents 2022 Souradeep Chakraborty
Zijun Wei
Conor Kelton
Seoyoung Ahn
Aruna Balasubramanian
Gregory J. Zelinsky
Dimitris Samaras
+ Target-absent Human Attention 2022 Zhibo Yang
Sounak Mondal
Seoyoung Ahn
Gregory J. Zelinsky
Minh Hoai
Dimitris Samaras
+ Reconstruction-guided attention improves the robustness and shape processing of neural networks 2022 Seoyoung Ahn
Hossein Adeli
Gregory J. Zelinsky
+ Recurrent Attention Models with Object-centric Capsule Representation for Multi-object Recognition. 2021 Hossein Adeli
Seoyoung Ahn
Gregory J. Zelinsky
+ PDF Chat Predicting Goal-directed Attention Control Using Inverse-Reinforcement Learning 2021 Gregory J. Zelinsky
Yupei Chen
Seoyoung Ahn
Hossein Adeli
Zhibo Yang
Lihan Huang
Dimitrios Samaras
Minh Hoai
+ Recurrent Attention Models with Object-centric Capsule Representation for Multi-object Recognition 2021 Hossein Adeli
Seoyoung Ahn
Gregory J. Zelinsky
+ Predicting Goal-Directed Human Attention Using Inverse Reinforcement Learning 2020 Zhibo Yang
Lihan Huang
Yupei Chen
Zijun Wei
Seoyoung Ahn
Gregory J. Zelinsky
Dimitris Samaras
Minh Hoai
+ Predicting Goal-directed Attention Control Using Inverse-Reinforcement Learning. 2020 Gregory J. Zelinsky
Yupei Chen
Seoyoung Ahn
Hossein Adeli
Zhibo Yang
Lihan Huang
Dimitrios Samaras
Minh Hoai
+ Predicting Goal-directed Human Attention Using Inverse Reinforcement Learning 2020 Zhibo Yang
Lihan Huang
Yupei Chen
Zijun Wei
Seoyoung Ahn
Gregory J. Zelinsky
Dimitris Samaras
Minh Hoai
+ Predicting Goal-directed Attention Control Using Inverse-Reinforcement Learning 2020 Gregory J. Zelinsky
Yupei Chen
Seoyoung Ahn
Hossein Adeli
Zhibo Yang
Lihan Huang
Dimitrios Samaras
Minh Hoai
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ Proximal Policy Optimization Algorithms 2017 John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
5
+ Generative Adversarial Imitation Learning 2016 Jonathan Ho
Stefano Ermon
5
+ PDF Chat Finding any Waldo with zero-shot invariant and efficient visual search 2018 Mengmi Zhang
Jiashi Feng
Keng Teck
Joo‐Hwee Lim
Qi Zhao
Gabriel Kreiman
4
+ PDF Chat DeepFix: A Fully Convolutional Neural Network for Predicting Human Eye Fixations 2017 Srinivas S S Kruthiventi
Kumar Ayush
R. Venkatesh Babu
3
+ Deep Gaze I: Boosting Saliency Prediction with Feature Maps Trained on ImageNet 2015 Matthias KĂŒmmerer
Lucas Theis
Matthias Bethge
3
+ PDF Chat Predicting Human Eye Fixations via an LSTM-Based Saliency Attentive Model 2018 Marcella Cornia
Lorenzo Baraldi
Giuseppe Serra
Rita Cucchiara
3
+ PDF Chat Actions in the Eye: Dynamic Gaze Datasets and Learnt Saliency Models for Visual Recognition 2014 Stefan Mathe
Cristian Sminchisescu
3
+ PDF Chat What Do Different Evaluation Metrics Tell Us About Saliency Models? 2018 Zoya Bylinskii
Tilke Judd
Aude Oliva
Antonio Torralba
Frédo Durand
3
+ PDF Chat PET: An eye-tracking dataset for animal-centric Pascal object classes 2015 Syed Omer Gilani
Ramanathan Subramanian
Yan Yan
David Melcher
Nicu Sebe
Stefan Winkler
3
+ Predicting Goal-Directed Human Attention Using Inverse Reinforcement Learning 2020 Zhibo Yang
Lihan Huang
Yupei Chen
Zijun Wei
Seoyoung Ahn
Gregory J. Zelinsky
Dimitris Samaras
Minh Hoai
3
+ High-Dimensional Continuous Control Using Generalized Advantage Estimation 2015 John Schulman
Philipp Moritz
Sergey Levine
Michael I. Jordan
Pieter Abbeel
2
+ PDF Chat Salient Object Detection: A Benchmark 2015 Ali Borji
Ming‐Ming Cheng
Huaizu Jiang
Jia Li
2
+ PDF Chat PERCH: Perception via search for multi-object recognition and localization 2016 Venkatraman Narayanan
Maxim Likhachev
2
+ Maximum Entropy Deep Inverse Reinforcement Learning 2015 Markus Wulfmeier
Peter OndrĂșĆĄka
Ingmar Posner
2
+ Panoptic Segmentation 2019 Alexander Kirillov
Kaiming He
Ross Girshick
Carsten Rother
Piotr DollĂĄr
2
+ Stabilizing Training of Generative Adversarial Networks through Regularization 2017 Kevin A. Roth
Aurélien Lucchi
Sebastian Nowozin
Thomas Hofmann
2
+ PDF Chat Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification 2015 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
2
+ PDF Chat Panoptic Feature Pyramid Networks 2019 Alexander Kirillov
Ross Girshick
Kaiming He
Piotr DollĂĄr
2
+ Learning Robust Rewards with Adversarial Inverse Reinforcement Learning 2017 Justin Fu
Katie Luo
Sergey Levine
2
+ PDF Chat Learning to detect chest radiographs containing pulmonary lesions using visual attention networks 2019 Emanuele Pesce
Samuel Withey
Petros-Pavlos Ypsilantis
Robert Bakewell
Vicky Goh
Giovanni Montana
1
+ PDF Chat TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes 2018 Shangbang Long
Jiaqiang Ruan
Wenjie Zhang
Xin He
Wenhao Wu
Cong Yao
1
+ PDF Chat UNet++: A Nested U-Net Architecture for Medical Image Segmentation 2018 Zongwei Zhou
Md Mahfuzur Rahman Siddiquee
Nima Tajbakhsh
Jianming Liang
1
+ PDF Chat PathGAN: Visual Scanpath Prediction with Generative Adversarial Networks 2019 Marc Assens
Xavier GirĂł-i-Nieto
Kevin McGuinness
Noel E. O’Connor
1
+ MONet: Unsupervised Scene Decomposition and Representation 2019 Christopher Burgess
Löıc Matthey
Nicholas Watters
Rishabh Kabra
Irina Higgins
Matthew Botvinick
Alexander Lerchner
1
+ Capsule Networks with Max-Min Normalization 2019 Zhao Zhen
Ashley Kleinhans
Gursharan Sandhu
Ishan Patel
Unnikrishnan Kuzhiumparambil
1
+ Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift 2015 Sergey Ioffe
Christian Szegedy
1
+ Attentional Neural Network: Feature Selection Using Cognitive Feedback 2014 Qian Wang
Jiaxing Zhang
Sen Song
Zheng Zhang
1
+ Recurrent Models of Visual Attention 2014 Volodymyr Mnih
Nicolas Heess
Alex Graves
Koray Kavukcuoglu
1
+ Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks 2013 Ian Goodfellow
Yaroslav Bulatov
Julian Ibarz
Sacha Arnoud
Vinay Shet
1
+ PDF Chat Revisiting Video Saliency: A Large-Scale Benchmark and a New Model 2018 Wenguan Wang
Jianbing Shen
Fang Guo
Ming‐Ming Cheng
Ali Borji
1
+ Delving Deeper into Convolutional Networks for Learning Video Representations 2015 Nicolas Ballas
Li Yao
Chris Pal
Aaron Courville
1
+ PDF Chat Learning with rethinking: Recurrently improving convolutional neural networks through feedback 2018 Xin Li
Zequn Jie
Jiashi Feng
Changsong Liu
Shuicheng Yan
1
+ PDF Chat Squeeze-and-Excitation Networks 2019 Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
1
+ PDF Chat Residual Attention Network for Image Classification 2017 Fei Wang
Mengqing Jiang
Chen Qian
Shuo Yang
Cheng Li
Honggang Zhang
Xiaogang Wang
Xiaoou Tang
1
+ PDF Chat An Element Sensitive Saliency Model with Position Prior Learning for Web Pages 2019 Yujun Gu
Jie Chang
Ya Zhang
Yanfeng Wang
1
+ Learning Robust Rewards with Adversarial Inverse Reinforcement Learning 2017 Justin Fu
Katie Luo
Sergey Levine
1
+ PDF Chat Saliency Prediction for Mobile User Interfaces 2018 Prakhar Gupta
Shubh Gupta
Ajaykrishnan Jayagopal
Sourav Pal
Ritwik Sinha
1
+ Multi-Object Representation Learning with Iterative Variational Inference 2019 Klaus Greff
Raphaël Lopez Kaufman
Rishabh Kabra
Nick Watters
Christopher Burgess
Daniel Zoran
Löıc Matthey
Matthew Botvinick
Alexander Lerchner
1
+ PDF Chat RATM: Recurrent Attentive Tracking Model 2017 Samira Ebrahimi Kahou
Vincent Michalski
Roland Memisevic
Christopher Pal
Pascal Vincent
1
+ BAM: Bottleneck Attention Module 2018 Jongchan Park
Sanghyun Woo
Joon‐Young Lee
In So Kweon
1
+ PDF Chat Zero-Shot Object Detection: Learning to Simultaneously Recognize and Localize Novel Concepts 2019 Shafin Rahman
Salman Khan
Fatih Porikli
1
+ RoBERTa: A Robustly Optimized BERT Pretraining Approach 2019 Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
Mike Lewis
Luke Zettlemoyer
Veselin Stoyanov
1
+ Saccader: Improving Accuracy of Hard Attention Models for Vision 2019 Gamaleldin F. Elsayed
Simon Kornblith
Quoc V. Le
1
+ PyTorch: An Imperative Style, High-Performance Deep Learning Library 2019 Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
Gregory Chanan
Trevor Killeen
Zeming Lin
Natalia Gimelshein
Luca Antiga
1
+ PDF Chat Understanding and Visualizing Deep Visual Saliency Models 2019 Sen He
Hamed R. Tavakoli
Ali Borji
Yang Mi
Nicolas Pugeault
1
+ PDF Chat A Dilated Inception Network for Visual Saliency Prediction 2019 Sheng Yang
Guosheng Lin
Qiuping Jiang
Weisi Lin
1
+ Deflecting Adversarial Attacks 2020 Yao Qin
Nicholas Frosst
Colin Raffel
Garrison W. Cottrell
Geoffrey E. Hinton
1
+ PDF Chat EML-NET: An Expandable Multi-Layer NETwork for saliency prediction 2020 Sen Jia
Neil D. B. Bruce
1
+ Capsules with Inverted Dot-Product Attention Routing 2020 Yao-Hung Hubert Tsai
Nitish Srivastava
Hanlin Goh
Ruslan Salakhutdinov
1
+ Going in circles is the way forward: the role of recurrence in visual inference 2020 Ruben S. van Bergen
Nikolaus Kriegeskorte
1