DPCM Coders with Adaptive Prediction for NTSC Composite TV Signals. - Venkat Devarajan; K. R. Rao 001 (IEEE Trans. Commun., 1980)

On 3-D Real-Time Perspective Generation from a Multiresolution Photo-Mosaic Data Base. - John T. Hooks Jr.; Garth J. Martinsen; Venkat Devarajan (CVGIP Graph. Model. Image Process., 1993)

Analysis of call packing and rearrangement in a multi stage switch. - Youngsong Mun; Yuqiang Tang; Venkat Devarajan (IEEE Trans. Commun., 1994)

Image correlation under full-perspective distortion. - W. Bryan Bell; Venkat Devarajan (Visual Information Processing, 1996)

Texture Mapping 3D Models of Real-World Scenes. - Frederick M. Weinhaus; Venkat Devarajan (ACM Comput. Surv., 1997)

Intersecting features extraction from 2D orthographic projections. - Rajan Ganesan; Venkat Devarajan (Comput. Aided Des., 1998)

Automatic identification of non-intersecting machining features from 2D CAD input. - Lee-Wen Tyan; Venkat Devarajan (Comput. Aided Des., 1998)

Analysis of area-based image matching under perspective distortion for a planar object model. - W. Bryan Bell; Venkat Devarajan; Steven J. Apollo (J. Electronic Imaging, 1999)

A conceptual approach managing design resource. - Fujun Wang; John J. Mills; Venkat Devarajan (Comput. Ind., 2002)

Instructor Station for Virtual Laparoscopic Surgery: Requirements and Design. - A. Gande; Venkat Devarajan (Computer Graphics and Imaging, 2003)

A honeycomb model for soft tissue deformation. - Xiuzhong Wang; Venkat Devarajan (VRCAI, 2004)

2D structured mass-spring system parameter optimization based on axisymmetric bending for rigid cloth simulation. - Xiuzhong Wang; Venkat Devarajan (VRCAI, 2004)

1D and 2D structured mass-spring models with preload. - Xiuzhong Wang; Venkat Devarajan (Vis. Comput., 2005)

Modeling Isotropic Organs Using Beam Models for the Haptic Simulation of Blunt Dissections. - Vishal Dalmiya; Guillermo Ramirez; Venkat Devarajan (MMVR, 2007)

Determination of Key and Driving Points of a Beam Model for Tissue Simulation. - Vishal Dalmiya; Sumit Tandon; Pradeep Mohanraj; Venkat Devarajan (MMVR, 2007)

Multi-stage branch-and-bound for maximum variance disparity clustering. - Ninad Thakoor; Venkat Devarajan; Jean Gao (ICPR, 2008)

Design and Simulation of a Visual and Haptic Assisted Biopsy (ViHAB) System. - Sumit Tandon; Venkat Devarajan (MMVR, 2008)

Parameter Optimization for 3D Mass-spring-damper Models. - Xiuzhong Wang; Venkat Devarajan (MMVR, 2008)

Multihypothesis Prior for Segmentation of Stereo Disparity. - Ninad Thakoor; Jean Gao; Venkat Devarajan (IEEE Signal Process. Lett., 2008)

Multistage Branch-and-Bound Merging for Planar Surface Segmentation in Disparity Space. - Ninad Thakoor; Jean Gao; Venkat Devarajan (IEEE Trans. Image Process., 2008)

Improved 2D mass-spring-damper model with unstructured triangular meshes. - Xiuzhong Wang; Venkat Devarajan (Vis. Comput., 2008)

Computation complexity of branch-and-bound model selection. - Ninad Thakoor; Venkat Devarajan; Jean Gao (ICCV, 2009)

Nonrigid conflation for vector datasets using EM algorithm and Mixture of Gaussian approach. - Ganesh Krishnamurthy; Venkat Devarajan; Irinel Dragan (IGARSS, 2010)

Multibody Structure-and-Motion Segmentation by Branch-and-Bound Model Selection. - Ninad Thakoor; Jean Gao; Venkat Devarajan (IEEE Trans. Image Process., 2010)

A Quantitative Methodology to Evaluate Motion-Based Animation Techniques. - Gutemberg Guerra-Filho; George Raphael; Venkat Devarajan (MIG, 2011)

Fast Algorithms for Low-Delay SBR Filterbanks in MPEG-4 AAC-ELD. - Ravi K. Chivukula; Yuriy A. Reznik; Venkat Devarajan; Mythreya Jayendra-Lakshman (IEEE Trans. Speech Audio Process., 2012)

Fast algorithms for low-delay TDAC filterbanks in MPEG-4 AAC-ELD. - Ravi K. Chivukula; Yuriy A. Reznik; Yanyan Hu; Venkat Devarajan; Mythreya Jayendra-Lakshman (IEEE ACM Trans. Audio Speech Lang. Process., 2014)

LapTool-Net: A Contextual Detector of Surgical Tools in Laparoscopic Videos Based on Recurrent Convolutional Neural Networks. - Babak Namazi; Ganesh Sankaranarayanan; Venkat Devarajan (CoRR, 2019)

Identifying Training Stop Point with Noisy Labeled Data. - Sree Ram Kamabattula; Venkat Devarajan; Babak Namazi; Ganesh Sankaranarayanan (CoRR, 2020)

Generation and Analysis of Feature-Dependent Pseudo Noise for Training Deep Neural Networks. - Sree Ram Kamabattula; Kumudha Musini; Babak Namazi; Ganesh Sankaranarayanan; Venkat Devarajan (SMC, 2021)