Sadeep Jayasumana

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All published works

Action	Title	Year	Authors
+ PDF Chat	LatentCRF: Continuous CRF for Efficient Latent Diffusion	2024	Kanchana Ranasinghe Sadeep Jayasumana Andreas Veit Ayan Chakrabarti Daniel Gläsner Michael S. Ryoo Srikumar Ramalingam Sanjiv Kumar
+ PDF Chat	Efficient Document Ranking with Learnable Late Interactions	2024	Ziwei Ji Himanshu Jain Andreas Veit Sashank J. Reddi Sadeep Jayasumana Ankit Singh Rawat Aditya Krishna Menon Felix Yu Sanjiv Kumar
+	Rethinking FID: Towards a Better Evaluation Metric for Image Generation	2024	Sadeep Jayasumana Srikumar Ramalingam Andreas Veit Daniel Gläsner Ayan Chakrabarti Sanjiv Kumar
+	EmbedDistill: A Geometric Knowledge Distillation for Information Retrieval	2023	Seungyeon Kim Ankit Singh Rawat Manzil Zaheer Sadeep Jayasumana Veeranjaneyulu Sadhanala Wittawat Jitkrittum Aditya Krishna Menon Rob Fergus Sanjiv Kumar
+	MarkovGen: Structured Prediction for Efficient Text-to-Image Generation	2023	Sadeep Jayasumana Daniel Gläsner Srikumar Ramalingam Andreas Veit Ayan Chakrabarti Sanjiv Kumar
+	When does mixup promote local linearity in learned representations?	2022	Arslan Chaudhry Aditya Krishna Menon Andreas Veit Sadeep Jayasumana Srikumar Ramalingam Sanjiv Kumar
+	Disentangling Sampling and Labeling Bias for Learning in Large-Output Spaces	2021	Ankit Singh Rawat Aditya Krishna Menon Wittawat Jitkrittum Sadeep Jayasumana Felix X. Yu Sashank J. Reddi Sanjiv Kumar
+	Balancing Constraints and Submodularity in Data Subset Selection.	2021	Srikumar Ramalingam Daniel Gläsner Kaushal Patel Raviteja Vemulapalli Sadeep Jayasumana Sanjiv Kumar
+	Less is more: Selecting informative and diverse subsets with balancing constraints	2021	Srikumar Ramalingam Daniel Gläsner Kaushal Patel Raviteja Vemulapalli Sadeep Jayasumana Sanjiv Kumar
+	Disentangling Sampling and Labeling Bias for Learning in Large-Output Spaces	2021	Ankit Singh Rawat Aditya Krishna Menon Wittawat Jitkrittum Sadeep Jayasumana Felix X. Yu Sashank J. Reddi Sanjiv Kumar
+	Kernelized Classification in Deep Networks.	2020	Sadeep Jayasumana Srikumar Ramalingam Sanjiv Kumar
+	Long-tail learning via logit adjustment	2020	Aditya Krishna Menon Sadeep Jayasumana Ankit Singh Rawat Himanshu Jain Andreas Veit Sanjiv Kumar
+	Long-tail learning via logit adjustment	2020	Aditya Krishna Menon Sadeep Jayasumana Ankit Singh Rawat Himanshu Jain Andreas Veit Sanjiv Kumar
+	Kernelized Classification in Deep Networks	2020	Sadeep Jayasumana Srikumar Ramalingam Sanjiv Kumar
+	Bipartite Conditional Random Fields for Panoptic Segmentation	2019	Sadeep Jayasumana Kanchana Ranasinghe Mayuka Jayawardhana Sahan Liyanaarachchi Harsha Ranasinghe
+ PDF Chat	Higher Order Conditional Random Fields in Deep Neural Networks	2016	Anurag Arnab Sadeep Jayasumana Shuai Zheng Philip H. S. Torr
+	Prototypical Priors: From Improving Classification to Zero-Shot Learning	2015	Saumya Jetley Bernardino Romera‐Paredes Sadeep Jayasumana Philip H. S. Torr
+ PDF Chat	Conditional Random Fields as Recurrent Neural Networks	2015	Shuai Zheng Sadeep Jayasumana Bernardino Romera‐Paredes Vibhav Vineet Zhizhong Su Dalong Du Chang Huang Philip H. S. Torr
+	Higher Order Potentials in End-to-End Trainable Conditional Random Fields	2015	Anurag Arnab Sadeep Jayasumana Shuai Zheng Philip H. S. Torr
+	Higher Order Conditional Random Fields in Deep Neural Networks	2015	Anurag Arnab Sadeep Jayasumana Shuai Zheng Philip H. S. Torr
+	Kernels on Riemannian Manifolds	2015	Sadeep Jayasumana Richard Hartley Mathieu Salzmann
+ PDF Chat	Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels	2015	Sadeep Jayasumana Richard Hartley Mathieu Salzmann Hongdong Li Mehrtash Harandi
+	Prototypical Priors: From Improving Classification to Zero-Shot Learning	2015	Saumya Jetley Bernardino Romera‐Paredes Sadeep Jayasumana Philip H. S. Torr
+	Prototypical Priors: From Improving Classification to Zero-Shot Learning	2015	Saumya Jetley Bernardino Romera‐Paredes Sadeep Jayasumana Philip Torr
+	Higher Order Conditional Random Fields in Deep Neural Networks	2015	Anurag Arnab Sadeep Jayasumana Shuai Zheng Philip Torr
+	Optimizing Over Radial Kernels on Compact Manifolds	2014	Sadeep Jayasumana Richard Hartley Mathieu Salzmann Hongdong Li Mehrtash Harandi
+	Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices	2014	Sadeep Jayasumana Richard Hartley Mathieu Salzmann Hongdong Li Mehrtash Harandi
+	A Framework for Shape Analysis via Hilbert Space Embedding	2014	Sadeep Jayasumana Mathieu Salzmann Hongdong Li Mehrtash Harandi
+ PDF Chat	Optimizing over Radial Kernels on Compact Manifolds	2014	Sadeep Jayasumana Richard Hartley Mathieu Salzmann Hongdong Li Mehrtash Harandi
+	Expanding the Family of Grassmannian Kernels: An Embedding Perspective	2014	Mehrtash Harandi Mathieu Salzmann Sadeep Jayasumana Richard Hartley Hongdong Li
+	Optimizing Over Radial Kernels on Compact Manifolds	2014	Sadeep Jayasumana Richard Hartley Mathieu Salzmann Hongdong Li Mehrtash Harandi
+	Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices	2014	Sadeep Jayasumana Richard Hartley Mathieu Salzmann Hongdong Li Mehrtash Harandi
+	A Framework for Shape Analysis via Hilbert Space Embedding	2014	Sadeep Jayasumana Mathieu Salzmann Hongdong Li Mehrtash Harandi
+ PDF Chat	A Framework for Shape Analysis via Hilbert Space Embedding	2013	Sadeep Jayasumana Mathieu Salzmann Hongdong Li Mehrtash Harandi
+ PDF Chat	Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices	2013	Sadeep Jayasumana Richard Hartley Mathieu Salzmann Hongdong Li Mehrtash Harandi

Common Coauthors

Coauthor	Papers Together
Mathieu Salzmann	12
Mehrtash Harandi	11
Hongdong Li	11
Richard Hartley	9
Sanjiv Kumar	8
Aditya Krishna Menon	7
Andreas Veit	7
Ankit Singh Rawat	6
Sanjiv Kumar	6
Shuai Zheng	5
Philip H. S. Torr	5
Daniel Gläsner	5
Anurag Arnab	4
Srikumar Ramalingam	4
Bernardino Romera‐Paredes	4
Srikumar Ramalingam	4
Himanshu Jain	3
Ayan Chakrabarti	3
Sashank J. Reddi	3
Wittawat Jitkrittum	3
Saumya Jetley	3
Raviteja Vemulapalli	2
Kanchana Ranasinghe	2
Philip Torr	2
Felix X. Yu	2
Kaushal Patel	2
Michael S. Ryoo	1
Zhizhong Su	1
Chang Huang	1
Harsha Ranasinghe	1
Rob Fergus	1
Vibhav Vineet	1
Seungyeon Kim	1
Arslan Chaudhry	1
Ziwei Ji	1
Manzil Zaheer	1
Mayuka Jayawardhana	1
Dalong Du	1
Felix Yu	1
Philip H. S. Torr	1
Sahan Liyanaarachchi	1
Veeranjaneyulu Sadhanala	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Harmonic Analysis on Semigroups	1984	Christian Berg Jens Peter Christensen Paul Ressel	10
+ PDF Chat	Convolutional feature masking for joint object and stuff segmentation	2015	Jifeng Dai Kaiming He Jian Sun	5
+ PDF Chat	Metric spaces and positive definite functions	1938	I. J. Schoenberg	5
+	Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials	2012	Philipp Krähenbühl Vladlen Koltun	5
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	5
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	5
+ PDF Chat	Shape Manifolds, Procrustean Metrics, and Complex Projective Spaces	1984	David G. Kendall	4
+ PDF Chat	Learning Graphical Model Parameters with Approximate Marginal Inference	2013	Justin Domke	4
+	Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour	2017	Priya Goyal Piotr Dollár Ross Girshick Pieter Noordhuis Lukasz Wesolowski Aapo Kyrola Andrew Tulloch Yangqing Jia Kaiming He	4
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	4
+ PDF Chat	Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation	2016	Guosheng Lin Chunhua Shen Anton van den Hengel Ian Reid	4
+ PDF Chat	BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation	2015	Jifeng Dai Kaiming He Jian Sun	3
+	Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs	2014	Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Murphy Alan Yuille	3
+ PDF Chat	Semi-intrinsic Mean Shift on Riemannian Manifolds	2012	Rui Caseiro João F. Henriques Pedro Martins Jorge Batista	3
+ PDF Chat	Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach	2012	Mehrtash Harandi Conrad Sanderson Richard Hartley Brian C. Lovell	3
+ PDF Chat	Deformable part models are convolutional neural networks	2015	Ross Girshick Forrest Iandola Trevor Darrell Jitendra Malik	3
+ PDF Chat	Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices	2013	Sadeep Jayasumana Richard Hartley Mathieu Salzmann Hongdong Li Mehrtash Harandi	3
+	Decoupling Representation and Classifier for Long-Tailed Recognition	2019	Bingyi Kang Saining Xie Marcus Rohrbach Zhicheng Yan Albert Gordo Jiashi Feng Yannis Kalantidis	3
+ PDF Chat	SMOTE: Synthetic Minority Over-sampling Technique	2002	Nitesh V. Chawla Kevin W. Bowyer Lawrence Hall W. Philip Kegelmeyer	3
+	Clustering and dimensionality reduction on Riemannian manifolds	2008	Alvina Goh René Vidal	3
+	Multi-Scale Context Aggregation by Dilated Convolutions	2015	Fisher Yu Vladlen Koltun	3
+	Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss	2019	Kaidi Cao Colin Wei Adrien Gaidon Nikos Aréchiga Tengyu Ma	3
+ PDF Chat	Statistical Computations on Grassmann and Stiefel Manifolds for Image and Video-Based Recognition	2011	Pavan Turaga Ashok Veeraraghavan Anuj Srivastava Rama Chellappa	3
+	Non-Euclidean statistics for covariance matrices, with applications to diffusion tensor imaging	2009	Ian L. Dryden Alexey Koloydenko Diwei Zhou	3
+	A sequential algorithm for training text classifiers	1994	David Lewis William A. Gale	3
+	The Logit Model and Response-Based Samples	1989	Yu Xie Charles F. Manski	3
+	Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation	2015	George Papandreou Liang-Chieh Chen Kevin Murphy Alan Yuille	3
+ PDF Chat	Large-Scale Long-Tailed Recognition in an Open World	2019	Ziwei Liu Zhongqi Miao Xiaohang Zhan Jiayun Wang Boqing Gong Stella X. Yu	3
+ PDF Chat	A Riemannian Framework for Tensor Computing	2005	Xavier Pennec Pierre Fillard Nicholas Ayache	3
+ PDF Chat	A Framework for Shape Analysis via Hilbert Space Embedding	2013	Sadeep Jayasumana Mathieu Salzmann Hongdong Li Mehrtash Harandi	3
+ PDF Chat	A systematic study of the class imbalance problem in convolutional neural networks	2018	Mateusz Buda Atsuto Maki Maciej A. Mazurowski	3
+	Statistical shape analysis: clustering, learning, and testing	2005	Anuj Srivastava S. K. Joshi Washington Mio Xiuwen Liu	3
+	Class-Balanced Loss Based on Effective Number of Samples	2019	Yin Cui Menglin Jia Tsung-Yi Lin Yang Song Serge Belongie	3
+	Positive definite matrices and the Symmetric Stein Divergence	2011	Suvrit Sra	3
+ PDF Chat	Log‐Euclidean metrics for fast and simple calculus on diffusion tensors	2006	Vincent Arsigny Pierre Fillard Xavier Pennec Nicholas Ayache	3
+	Distilling the Knowledge in a Neural Network	2015	Geoffrey E. Hinton Oriol Vinyals Jay B. Dean	3
+	Learning with non-positive kernels	2004	Cheng Soon Ong Xavier Mary Stéphane Canu Alexander J. Smola	3
+	Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation	2014	Jonathan Tompson Arjun Jain Yann LeCun Christoph Bregler	3
+	The Devil is in the Tails: Fine-grained Classification in the Wild	2017	Grant Van Horn Pietro Perona	3
+ PDF Chat	Convexity, Classification, and Risk Bounds	2006	Peter L. Bartlett Michael I. Jordan Jon McAuliffe	2
+ PDF Chat	Optimizing over Radial Kernels on Compact Manifolds	2014	Sadeep Jayasumana Richard Hartley Mathieu Salzmann Hongdong Li Mehrtash Harandi	2
+	Positive definite functions on spheres	1942	I. J. Schoenberg	2
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	2
+	Semantic Image Segmentation via Deep Parsing Network	2015	Ziwei Liu Xiaoxiao Li Ping Luo Chen Change Loy Xiaoou Tang	2
+	Is Pinocchio’s Nose Long or His Head Small? Learning Shape Distances for Classification	2007	Daniel Gill Ya’acov Ritov Gideon Dror	2
+ PDF Chat	Principled Parallel Mean-Field Inference for Discrete Random Fields	2016	Pierre Baqué Timur Bagautdinov François Fleuret Pascal Fua	2
+	Reviving Threshold-Moving: a Simple Plug-in Bagging Ensemble for Binary and Multiclass Imbalanced Data.	2016	Guillem Collell Dražen Prelec Kaustubh R. Patil	2
+	The foundations of cost-sensitive learning	2001	Charles Elkan	2
+	Fully Connected Deep Structured Networks	2015	Alexander G. Schwing Raquel Urtasun	2
+	Composite Binary Losses	2010	Mark D. Reid Robert C. Williamson	2