Neelima Chavali

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All published works

Action	Title	Year	Authors
+ PDF Chat	Object-Proposal Evaluation Protocol is ‘Gameable’	2016	Neelima Chavali Harsh Agrawal Aroma Mahendru Dhruv Batra
+	CloudCV: Large Scale Distributed Computer Vision as a Cloud Service	2015	Harsh Agrawal Clint Solomon Mathialagan Yash Goyal Neelima Chavali Prakriti Banik Akrit Mohapatra Ahmed Hamza Osman Dhruv Batra
+	Object-Proposal Evaluation Protocol is 'Gameable'	2015	Neelima Chavali Harsh Agrawal Aroma Mahendru Dhruv Batra
+	CloudCV: Large Scale Distributed Computer Vision as a Cloud Service	2015	Harsh Agrawal Clint Solomon Mathialagan Yash Goyal Neelima Chavali Prakriti Banik Akrit Mohapatra Ahmed Osman Dhruv Batra
+	Object-Proposal Evaluation Protocol is 'Gameable'	2015	Neelima Chavali Harsh Agrawal Aroma Mahendru Dhruv Batra

Common Coauthors

Coauthor	Papers Together
Dhruv Batra	5
Harsh Agrawal	5
Aroma Mahendru	3
Prakriti Banik	2
Yash Goyal	2
Clint Solomon Mathialagan	2
Akrit Mohapatra	2
Ahmed Osman	1
Ahmed Hamza Osman	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Learning to Segment Object Candidates	2015	Pedro O. Pinheiro Ronan Collobert Piotr Dollár	2
+	Learning Rich Features from RGB-D Images for Object Detection and Segmentation	2014	Saurabh Gupta Ross Girshick Pablo Arbeláez Jitendra Malik	2
+ PDF Chat	Convolutional feature masking for joint object and stuff segmentation	2015	Jifeng Dai Kaiming He Jian Sun	2
+ PDF Chat	segDeepM: Exploiting segmentation and context in deep neural networks for object detection	2015	Yukun Zhu Raquel Urtasun Ruslan Salakhutdinov Sanja Fidler	2
+ PDF Chat	What Makes for Effective Detection Proposals?	2015	Jan Hosang Rodrigo Benenson Piotr Dollár Bernt Schiele	2
+ PDF Chat	Going deeper with convolutions	2015	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	2
+ PDF Chat	Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation	2014	Ross Girshick Jeff Donahue Trevor Darrell Jitendra Malik	2
+	How good are detection proposals, really?	2014	Jan Hosang Rodrigo Benenson Bernt Schiele	2
+ PDF Chat	Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+	DeepID-Net: multi-stage and deformable deep convolutional neural networks for object detection	2014	Wanli Ouyang Ping Luo Xingyu Zeng Shi Qiu Yonglong Tian Hongsheng Li Shuo Yang Zhe Wang Yuanjun Xiong Qian Chen	2
+ PDF Chat	DeepProposal: Hunting Objects by Cascading Deep Convolutional Layers	2015	Amir Ghodrati Ali Diba Marco Pedersoli Tinne Tuytelaars Luc Van Gool	2
+	DeepBox: Learning Objectness with Convolutional Networks	2015	Weicheng Kuo Bharath Hariharan Jitendra Malik	2
+	ImageNet Large Scale Visual Recognition Challenge	2014	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	2
+	DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition	2013	Jeff Donahue Yangqing Jia Oriol Vinyals Judy Hoffman Ning Zhang Eric Tzeng Trevor Darrell	2
+ PDF Chat	Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks	2016	Shaoqing Ren Kaiming He Ross Girshick Jian Sun	2
+	Transferring Rich Feature Hierarchies for Robust Visual Tracking	2015	Naiyan Wang Siyi Li Abhinav Gupta Dit‐Yan Yeung	2
+ PDF Chat	Unsupervised Object Discovery and Tracking in Video Collections	2015	Suha Kwak Minsu Cho Ivan Laptev Jean Ponce Cordelia Schmid	2
+	Network In Network	2013	Min Lin Qiang Chen Shuicheng Yan	2
+ PDF Chat	Unsupervised object discovery and localization in the wild: Part-based matching with bottom-up region proposals	2015	Minsu Cho Suha Kwak Cordelia Schmid Jean Ponce	2
+ PDF Chat	DeepBox: Learning Objectness with Convolutional Networks	2015	Weicheng Kuo Bharath Hariharan Jitendra Malik	1
+	Scalable, High-Quality Object Detection	2014	Christian Szegedy Scott Reed Dumitru Erhan Dragomir Anguelov	1
+	Theano: new features and speed improvements	2012	Frédéric Bastien Pascal Lamblin Razvan Pascanu James Bergstra Ian J. Goodfellow Arnaud Bergeron Nicolas Bouchard David Warde-Farley Yoshua Bengio	1
+ PDF Chat	How will astronomy archives survive the data tsunami?	2011	G. Bruce Berriman Steven L. Groom	1
+	Caffe: Convolutional Architecture for Fast Feature Embedding	2014	Yangqing Jia Evan Shelhamer Jeff Donahue Sergey Karayev Jonathan Long Ross Girshick Sergio Guadarrama Trevor Darrell	1
+	Going Deeper with Convolutions	2014	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	1
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	1
+	DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition	2013	Jeff Donahue Yangqing Jia Oriol Vinyals Judy Hoffman Ning Zhang Eric Tzeng Trevor Darrell	1
+	Building high-level features using large scale unsupervised learning	2011	Quoc V. Le Marc’Aurelio Ranzato Rajat Monga Matthieu Devin Kai Chen Greg S. Corrado Jeff Dean Andrew Y. Ng	1
+ PDF Chat	Watch and learn: Semi-supervised learning of object detectors from videos	2015	Ishan Misra Abhinav Shrivastava Martial Hebert	1
+ PDF Chat	CNN Features Off-the-Shelf: An Astounding Baseline for Recognition	2014	Ali Sharif Razavian Hossein Azizpour Josephine Sullivan Stefan Carlsson	1
+ PDF Chat	Scalable Object Detection Using Deep Neural Networks	2014	Dumitru Erhan Christian Szegedy Alexander Toshev Dragomir Anguelov	1
+	Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition	2014	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+	Scikit-learn: Machine Learning in Python	2012	Fabián Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Peter Prettenhofer Ron J. Weiss Vincent Dubourg	1