Negin Sokhandan

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	Automated Virtual Product Placement and Assessment in Images using Diffusion Models	2024	Mohammad Mahmudul Alam Negin Sokhandan Emmett D. Goodman
+ PDF Chat	DocBed: A Multi-Stage OCR Solution for Documents with Complex Layouts	2022	Wenzhen Zhu Negin Sokhandan Guang Yang Sujitha Martin Suchitra Sathyanarayana
+	DocBed: A Multi-Stage OCR Solution for Documents with Complex Layouts	2022	Wenzhen Zhu Negin Sokhandan Guang Yang Sujitha Martin Suchitra Sathyanarayana
+	A Few-Shot Sequential Approach for Object Counting	2020	Negin Sokhandan Pegah Kamousi Alejandro Sanín Posada Eniola Alese Negar Rostamzadeh

Common Coauthors

Coauthor	Papers Together
Sujitha Martin	2
Guang Yang	2
Wenzhen Zhu	2
Suchitra Sathyanarayana	2
Alejandro Sanín Posada	1
Negar Rostamzadeh	1
Eniola Alese	1
Mohammad Mahmudul Alam	1
Emmett D. Goodman	1
Pegah Kamousi	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+	Fully Convolutional Crowd Counting On Highly Congested Scenes	2016	Mark Marsden Kevin McGuinness Suzanne Little Noel E. O’Connor	1
+	Prototypical Networks for Few-shot Learning	2017	Jake Snell Kevin Swersky Richard S. Zemel	1
+	Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks	2017	Chelsea Finn Pieter Abbeel Sergey Levine	1
+	Meta-SGD: Learning to Learn Quickly for Few-Shot Learning	2017	Zhenguo Li Fengwei Zhou Fei Chen Hang Li	1
+ PDF Chat	Fully Convolutional Neural Networks for Page Segmentation of Historical Document Images	2018	Christoph Wick Frank Puppe	1
+	Reptile: a Scalable Metalearning Algorithm	2018	Alex Nichol John Schulman	1
+	On First-Order Meta-Learning Algorithms.	2018	Alex Nichol Joshua Achiam John Schulman	1
+	Uncertainty in Multitask Transfer Learning	2018	Alexandre Lacoste Boris N. Oreshkin Wonchang Chung Thomas Boquet Negar Rostamzadeh David Krueger	1
+	Few-Shot Segmentation Propagation with Guided Networks	2018	Kate Rakelly Evan Shelhamer Trevor Darrell Alexei A. Efros Sergey Levine	1
+ PDF Chat	Where Are the Blobs: Counting by Localization with Point Supervision	2018	Issam Laradji Negar Rostamzadeh Pedro O. Pinheiro David Vázquez Mark Schmidt	1
+ PDF Chat	Chargrid: Towards Understanding 2D Documents	2018	Anoop R Katti Christian Reisswig Cordula Guder Sebastian Brarda Steffen Bickel Johannes Höhne Jean Baptiste Faddoul	1
+	Precise Detection in Densely Packed Scenes	2019	Eran Goldman Roei Herzig Aviv Eisenschtat Oria Ratzon Itsik Levi Jacob Goldberger Tal Hassner	1
+	Locate, Size and Count: Accurately Resolving People in Dense Crowds via Detection	2019	Deepak Babu Sam Skand Vishwanath Peri Mukuntha Narayanan Sundararaman Amogh Kamath R. Venkatesh Babu	1
+ PDF Chat	Object Counting and Instance Segmentation With Image-Level Supervision	2019	Hisham Cholakkal Guolei Sun Fahad Shahbaz Khan Ling Shao	1
+ PDF Chat	CNN-Based cascaded multi-task learning of high-level prior and density estimation for crowd counting	2017	Vishwanath A. Sindagi Vishal M. Patel	1
+ PDF Chat	Low-Shot Visual Recognition by Shrinking and Hallucinating Features	2017	Bharath Hariharan Ross Girshick	1
+	LSTD: A Low-Shot Transfer Detector for Object Detection	2018	Hao Chen Yali Wang Guoyou Wang Yu Qiao	1
+	Matching networks for one shot learning	2016	Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra	1
+ PDF Chat	Counting Everyday Objects in Everyday Scenes	2017	Prithvijit Chattopadhyay Ramakrishna Vedantam Ramprasaath R. Selvaraju Dhruv Batra Devi Parikh	1
+	Learning to learn by gradient descent by gradient descent	2016	Marcin Andrychowicz Misha Denil Sergio Luis Suárez Gómez Matthew W. Hoffman David Pfau Tom Schaul Brendan Shillingford Nando de Freitas	1
+	Point in, Box Out: Beyond Counting Persons in Crowds	2019	Yuting Liu Miaojing Shi Qijun Zhao Xiaofang Wang	1
+ PDF Chat	Low-Shot Learning from Imaginary Data	2018	Yu-Xiong Wang Ross Girshick Martial Hebert Bharath Hariharan	1
+ PDF Chat	Learning to Compare: Relation Network for Few-Shot Learning	2018	Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip H. S. Torr Timothy M. Hospedales	1
+	Meta-Learning with Latent Embedding Optimization	2018	Andrei A. Rusu Dushyant Rao Jakub Sygnowski Oriol Vinyals Razvan Pascanu Simon Osindero Raia Hadsell	1
+ PDF Chat	CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes	2018	Yuhong Li Xiaofan Zhang Deming Chen	1
+ PDF Chat	People, Penguins and Petri Dishes: Adapting Object Counting Models to New Visual Domains and Object Types Without Forgetting	2018	Mark Marsden Kevin McGuinness Suzanne Little Ciara E. Keogh Noel E. O’Connor	1
+ PDF Chat	Attention-Based Extraction of Structured Information from Street View Imagery	2017	Zbigniew Wojna Alexander N. Gorban Dar-Shyang Lee Kevin Murphy Qian Yu Yeqing Li Julian Ibarz	1
+	Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector	2019	Qi Fan Wei Zhuo Chi-Keung Tang Yu‐Wing Tai	1
+ PDF Chat	Attend to count: Crowd counting with adaptive capacity multi-scale CNNs	2019	Zhikang Zou Yu Cheng Xiaoye Qu Shouling Ji Xiaoxiao Guo Pan Zhou	1
+ PDF Chat	Precise Detection in Densely Packed Scenes	2019	Eran Goldman Roei Herzig Aviv Eisenschtat Jacob Goldberger Tal Hassner	1
+ PDF Chat	Pushing the Frontiers of Unconstrained Crowd Counting: New Dataset and Benchmark Method	2019	Vishwanath A. Sindagi Rajeev Yasarla Vishal M. Patel	1
+ PDF Chat	Few-Shot Object Detection via Feature Reweighting	2019	Bingyi Kang Zhuang Liu Xin Wang Fisher Yu Jiashi Feng Trevor Darrell	1
+ PDF Chat	PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment	2019	Kaixin Wang Jun Hao Liew Yingtian Zou Daquan Zhou Jiashi Feng	1
+ PDF Chat	Learning Spatial Awareness to Improve Crowd Counting	2019	Zhi-Qi Cheng Jun-Xiu Li Qi Dai Xiao Wu Alexander G. Hauptmann	1
+ PDF Chat	PubLayNet: Largest Dataset Ever for Document Layout Analysis	2019	Xu Zhong Jianbin Tang Antonio Jimeno Yepes	1
+ PDF Chat	dhSegment: A Generic Deep-Learning Approach for Document Segmentation	2018	Sofia Ares Oliveira Benoît Séguin Frédé́ric Kaplan	1
+	SSD: Single Shot MultiBox Detector	2016	Wei Liu Dragomir Anguelov Dumitru Erhan Christian Szegedy Scott Reed Cheng-Yang Fu Alexander C. Berg	1
+ PDF Chat	Combining Visual and Textual Features for Semantic Segmentation of Historical Newspapers	2021	Raphaël Barman Maud Ehrmann Simon Clematide Sofia Ares Oliveira Frédé́ric Kaplan	1
+ PDF Chat	Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers	2021	Sixiao Zheng Jiachen Lu Hengshuang Zhao Xiatian Zhu Zekun Luo Yabiao Wang Yanwei Fu Jianfeng Feng Tao Xiang Philip H. S. Torr	1