Vittal Premachandran

20 papers A* 3A 1B 1Journal 8Unranked 6

Year	Rank	Type	Title / Venue / Authors
2019	—	`conf`	Deep Residual Learning for Instrument Segmentation in Robotic Surgery. MLMI@MICCAI Daniil Pakhomov, Vittal Premachandran, Max Allan, Mahdi Azizian, Nassir Navab
2017	J	`jnl`	Deep Residual Learning for Instrument Segmentation in Robotic Surgery. CoRR Daniil Pakhomov, Vittal Premachandran, Max Allan, Mahdi Azizian, Nassir Navab
2017	J	`jnl`	Empirical Minimum Bayes Risk Prediction. IEEE Trans. Pattern Anal. Mach. Intell. Vittal Premachandran, Daniel Tarlow, Alan L. Yuille, Dhruv Batra
2017	A	`conf`	PASCAL Boundaries: A Semantic Boundary Dataset with a Deep Semantic Boundary Detector. WACV Vittal Premachandran, Boyan Bonev, Xiaochen Lian, Alan L. Yuille
2017	J	`jnl`	Visual Concepts and Compositional Voting. CoRR Jianyu Wang, Zhishuai Zhang, Cihang Xie, Yuyin Zhou, Vittal Premachandran, Jun Zhu, Lingxi Xie, Alan L. Yuille
2015	J	`jnl`	Discovering Internal Representations from Object-CNNs Using Population Encoding. CoRR Jianyu Wang, Zhishuai Zhang, Vittal Premachandran, Alan L. Yuille
2015	J	`jnl`	PASCAL Boundaries: A Class-Agnostic Semantic Boundary Dataset. CoRR Vittal Premachandran, Boyan Bonev, Alan L. Yuille
2014	A*	`conf`	Empirical Minimum Bayes Risk Prediction: How to Extract an Extra Few % Performance from Vision Models with Just Three More Parameters. CVPR Vittal Premachandran, Daniel Tarlow, Dhruv Batra
2014	—	`—`	Exploiting shape properties for improved retrieval, discrimination and recognition Vittal Premachandran
2013	—	`conf`	Can relative skill be determined from a photographic portfolio? Human Vision and Electronic Imaging Abhishek Agrawal, Vittal Premachandran, Rajesh Somavarapu, Ramakrishna Kakarala
2013	A*	`conf`	Consensus of k-NNs for Robust Neighborhood Selection on Graph-Based Manifolds. CVPR Vittal Premachandran, Ramakrishna Kakarala
2013	—	`conf`	Dense sampling of shape interiors for improved representation. Image Processing: Machine Vision Applications Vittal Premachandran, Ramakrishna Kakarala
2013	—	`conf`	Improving shape context using geodesic information and reflection invariance. Intelligent Robots and Computer Vision: Algorithms and Techniques Vittal Premachandran, Ramakrishna Kakarala
2013	J	`jnl`	Perceptually motivated shape context which uses shape interiors. Pattern Recognit. Vittal Premachandran, Ramakrishna Kakarala
2013	—	`conf`	Rating Image Aesthetics Using a Crowd Sourcing Approach. PSIVT Workshops Abhishek Agrawal, Vittal Premachandran, Ramakrishna Kakarala
2013	A*	`conf`	Three-Dimensional Bilateral Symmetry Plane Estimation in the Phase Domain. CVPR Ramakrishna Kakarala, Prabhu Kaliamoorthi, Vittal Premachandran
2013	B	`conf`	What parts of a shape are discriminative? ICIP Vittal Premachandran, Ramakrishna Kakarala
2012	J	`jnl`	Perceptually Motivated Shape Context Which Uses Shape Interiors CoRR Vittal Premachandran, Ramakrishna Kakarala
2011	—	`conf`	Comparing automated and human ratings of photographic aesthetics. CIC Ramakrishna Kakarala, Todd S. Sachs, Vittal Premachandran
2010	J	`jnl`	Measuring the effectiveness of bad pixel detection algorithms using the ROC curve. IEEE Trans. Consumer Electron. Vittal Premachandran, Ramakrishna Kakarala