Three-Dimensional Metamorphosis Using Multiplanar Representation. - Mahesh Ramasubramanian; Anurag Mittal (ICMCS, Vol. 1, 1999)

Scene Modeling for Wide Area Surveillance and Image Synthesis. - Anurag Mittal; Daniel P. Huttenlocher (CVPR, 2000)

M2Tracker: A Multi-view Approach to Segmenting and Tracking People in a Cluttered Scene Using Region-Based Stereo. - Anurag Mittal; Larry S. Davis (ECCV (1), 2002)

Parsing video programs into individual segments using FSA modeling. - Anurag Mittal; Loong Fah Cheong; Asuthosh Nair (ICIP (2), 2002)

Human Body Pose Estimation Using Silhouette Shape Analysis. - Anurag Mittal; Liang Zhao; Larry S. Davis (AVSS, 2003)

Background Modeling and Subtraction of Dynamic Scenes. - Antoine Monnet; Anurag Mittal; Nikos Paragios; Visvanathan Ramesh (ICCV, 2003)

M2Tracker: A Multi-View Approach to Segmenting and Tracking People in a Cluttered Scene. - Anurag Mittal; Larry S. Davis (Int. J. Comput. Vis., 2003)

Motion-Based Background Subtraction Using Adaptive Kernel Density Estimation. - Anurag Mittal; Nikos Paragios (CVPR (2), 2004)

Visibility Analysis and Sensor Planning in Dynamic Environments. - Anurag Mittal; Larry S. Davis (ECCV (1), 2004)

Uncalibrated stereo rectification for automatic 3d surveillance. - Ser-Nam Lim; Anurag Mittal; Larry S. Davis; Nikos Paragios (ICIP, 2004)

Fast Illumination-Invariant Background Subtraction Using Two Views: Error Analysis, Sensor Placement and Applications. - Ser-Nam Lim; Anurag Mittal; Larry S. Davis; Nikos Paragios (CVPR (1), 2005)

Constructing task visibility intervals for a surveillance system. - Ser-Nam Lim; Anurag Mittal; Larry Davis 001 (VSSN@MM, 2005)

Multi-view Reconstruction of Static and Dynamic Scenes. - Motilal Agrawal; Anurag Mittal; Larry S. Davis (Handbook of Mathematical Models in Computer Vision, 2006)

Constraint Integration for Multiview Pose Estimation of Humans with Self-Occlusions. - Abhinav Gupta 001; Anurag Mittal; Larry S. Davis (3DPVT, 2006)

An Intensity-augmented Ordinal Measure for Visual Correspondence. - Anurag Mittal; Visvanathan Ramesh (CVPR (1), 2006)

A Framework for Feature Selection for Background Subtraction. - Toufiq Parag; Ahmed M. Elgammal; Anurag Mittal (CVPR (2), 2006)

Generalized Multi-sensor Planning. - Anurag Mittal (ECCV (1), 2006)

Constructing task visibility intervals for video surveillance. - Ser-Nam Lim; Larry S. Davis; Anurag Mittal (Multim. Syst., 2006)

Task Scheduling in Large Camera Networks. - Ser-Nam Lim; Larry S. Davis; Anurag Mittal (ACCV (1), 2007)

Illumination and Affine- Invariant Point Matching using an Ordinal Approach. - Raj Gupta; Anurag Mittal (ICCV, 2007)

COST: An Approach for Camera Selection and Multi-Object Inference Ordering in Dynamic Scenes. - Abhinav Gupta 001; Anurag Mittal; Larry S. Davis (ICCV, 2007)

SMD: A Locally Stable Monotonic Change Invariant Feature Descriptor. - Raj Gupta; Anurag Mittal (ECCV (2), 2008)

Multi-stage Contour Based Detection of Deformable Objects. - Saiprasad Ravishankar; Arpit Jain; Anurag Mittal (ECCV (1), 2008)

A General Method for Sensor Planning in Multi-Sensor Systems: Extension to Random Occlusion. - Anurag Mittal; Larry S. Davis (Int. J. Comput. Vis., 2008)

Constraint Integration for Efficient Multiview Pose Estimation with Self-Occlusions. - Abhinav Gupta 001; Anurag Mittal; Larry S. Davis (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Automated feature extraction for early detection of diabetic retinopathy in fundus images. - Saiprasad Ravishankar; Arpit Jain; Anurag Mittal (CVPR, 2009)

Scene modeling and change detection in dynamic scenes: A subspace approach. - Anurag Mittal; Antoine Monnet; Nikos Paragios (Comput. Vis. Image Underst., 2009)

Robust order-based methods for feature description. - Raj Gupta; Harshal Patil; Anurag Mittal (CVPR, 2010)

Foreground-background separation on GPU using order based approaches. - Raj Gupta; Reddy M. Sailaja; Swagatika Panda; Sushant Sharma; Anurag Mittal (ICVGIP, 2010)

Real-Time Upper-Body Human Pose Estimation Using a Depth Camera. - Himanshu Prakash Jain; Anbumani Subramanian; Sukhendu Das; Anurag Mittal (MIRAGE, 2011)

Drawing an Automatic Sketch of Deformable Objects Using Only a Few Images. - Smit Marvaniya; Sreyasee Bhattacharjee; Venkatesh Manickavasagam; Anurag Mittal (ECCV Workshops (1), 2012)

A Performance Evaluation of Feature Descriptors for Image Stitching in Architectural Images. - Prashanth Balasubramanian; Vinay Kumar Verma; Anurag Mittal (ACCV Workshops (2), 2014)

Similarity-Invariant Sketch-Based Image Retrieval in Large Databases. - Sarthak Parui; Anurag Mittal (ECCV (6), 2014)

Revisiting Pose Estimation with Foreshortening Compensation and Color Information. - Achint Setia; Anoop R. Katti; Anurag Mittal (VISAPP (2), 2014)

CoMIC: Good features for detection and matching at object boundaries. - Swarna Kamlam Ravindran; Anurag Mittal (CoRR, 2014)

Mixture of parts revisited: Expressive part interactions for Pose Estimation. - Anoop R. Katti; Anurag Mittal (CVPR Workshops, 2015)

Co-operative Pedestrians Group Tracking in Crowded Scenes Using an MST Approach. - Achint Setia; Anurag Mittal (WACV, 2015)

Sketch-based Image Retrieval from Millions of Images under Rotation, Translation and Scale Variations. - Sarthak Parui; Anurag Mittal (CoRR, 2015)

Part-based deformable object detection with a single sketch. - Sreyasee Bhattacharjee; Anurag Mittal (Comput. Vis. Image Underst., 2015)

Improving Gradient Histogram Based Descriptors for Pedestrian Detection in Datasets with Large Variations. - Prashanth Balasubramanian; Sarthak Pathak; Anurag Mittal (CVPR Workshops, 2016)

CoMaL: Good Features to Match on Object Boundaries. - Swarna Kamlam Ravindran; Anurag Mittal (CVPR, 2016)

Bi-modal First Impressions Recognition Using Temporally Ordered Deep Audio and Stochastic Visual Features. - Arulkumar Subramaniam; Vismay Patel; Ashish Mishra 001; Prashanth Balasubramanian; Anurag Mittal (ECCV Workshops (3), 2016)

Deep Neural Networks with Inexact Matching for Person Re-Identification. - Arulkumar Subramaniam; Moitreya Chatterjee; Anurag Mittal (NIPS, 2016)

An Empirical Evaluation of Visual Question Answering for Novel Objects. - Santhosh K. Ramakrishnan; Ambar Pal; Gaurav Sharma; Anurag Mittal (CVPR, 2017)

CoMaL Tracking: Tracking Points at the Object Boundaries. - Santhosh K. Ramakrishnan; Swarna Kamlam Ravindran; Anurag Mittal (CVPR Workshops, 2017)

A Generative Model for Zero Shot Learning Using Conditional Variational Autoencoders. - Ashish Mishra 001; M. Shiva Krishna Reddy; Anurag Mittal; Hema A. Murthy (CVPR Workshops, 2018)

A Zero-Shot Framework for Sketch Based Image Retrieval. - Sasi Kiran Yelamarthi; M. Shiva Krishna Reddy; Ashish Mishra 001; Anurag Mittal (ECCV (4), 2018)

RTN and LFN Noise Performance in Advanced FDSOI Technology. - Luca Pirro; Olaf Zimmerhackl; Alban Zaka; Lars Müller-Meskamp; Ranjith Nelluri; Tom Hermann; Ignasi Cortes-Mayol; Andreas Huschka; Michael Otto 003; E. Nowak; Anurag Mittal; Jan Hoentschel (ESSDERC, 2018)

A Generative Approach to Zero-Shot and Few-Shot Action Recognition. - Ashish Mishra 001; Vinay Kumar Verma; M. Shiva Krishna Reddy; Arulkumar Subramaniam; Piyush Rai; Anurag Mittal (WACV, 2018)

NCC-Net: Normalized Cross Correlation Based Deep Matcher with Robustness to Illumination Variations. - Arulkumar Subramaniam; Prashanth Balasubramanian; Anurag Mittal (WACV, 2018)

Adaptive locally affine-invariant shape matching. - Smit Marvaniya; Raj Gupta; Anurag Mittal (Mach. Vis. Appl., 2018)

Co-Segmentation Inspired Attention Networks for Video-Based Person Re-Identification. - Arulkumar Subramaniam; Athira M. Nambiar; Anurag Mittal (ICCV, 2019)

Adversarial Joint-Distribution Learning for Novel Class Sketch-Based Image Retrieval. - Anubha Pandey; Ashish Mishra 001; Vinay Kumar Verma; Anurag Mittal (ICCV Workshops, 2019)

Feature Ensemble Networks with Re-Ranking for Recognizing Disguised Faces in the Wild. - Arulkumar Subramaniam; Ajay Narayanan Sridhar; Anurag Mittal (ICCV Workshops, 2019)

A 978GOPS/W Flexible Streaming Processor for Real-Time Image Processing Applications in 22nm FDSOI. - Sander Smets; Toon Goedemé; Anurag Mittal; Marian Verhelst (ISSCC, 2019)

Data Augmentation Using Part Analysis for Shape Classification. - Vismay Patel; Niranjan Mujumdar; Prashanth Balasubramanian; Smit Marvaniya; Anurag Mittal (WACV, 2019)

Blind Deblurring Using GANs. - Manoj Kumar Lenka; Anubha Pandey; Anurag Mittal (CoRR, 2019)

Reducing Language Biases in Visual Question Answering with Visually-Grounded Question Encoder. - Gouthaman KV; Anurag Mittal (ECCV (13), 2020)

Stacked Adversarial Network for Zero-Shot Sketch based Image Retrieval. - Anubha Pandey; Ashish Mishra 001; Vinay Kumar Verma; Anurag Mittal; Hema A. Murthy (WACV, 2020)

Going Much Wider with Deep Networks for Image Super-Resolution. - Vikram Singh 002; Keerthan Ramnath; Subrahmanyam Arunachalam; Anurag Mittal (WACV, 2020)

High-Frequency Refinement for Sharper Video Super-Resolution. - Vikram Singh 002; Akshay Sharma; Sudharshann Devanathan; Anurag Mittal (WACV, 2020)

MARNet: Multi-Abstraction Refinement Network for 3D Point Cloud Analysis. - Rahul Chakwate; Arulkumar Subramaniam; Anurag Mittal (CoRR, 2020)

Refining high-frequencies for sharper super-resolution and deblurring. - Vikram Singh 002; Keerthan Ramnath; Anurag Mittal (Comput. Vis. Image Underst., 2020)

Efficient Space-Time Video Super Resolution Using Low-Resolution Flow and Mask Upsampling. - Saikat Dutta 002; Nisarg A. Shah; Anurag Mittal (CVPR Workshops, 2021)

Domain Adaptive Knowledge Distillation for Driving Scene Semantic Segmentation. - Divya Kothandaraman; Athira M. Nambiar; Anurag Mittal (WACV (Workshops), 2021)

On the Significance of Question Encoder Sequence Model in the Out-of-Distribution Performance in Visual Question Answering. - Gouthaman KV; Anurag Mittal (CoRR, 2021)

WDN: A Wide and Deep Network to Divide-and-Conquer Image Super-Resolution. - Vikram Singh 002; Anurag Mittal (IEEE J. Sel. Top. Signal Process., 2021)

Linguistically-aware attention for reducing the semantic gap in vision-language tasks. - Gouthaman KV; Athira M. Nambiar; Sai Srinivas Kancheti; Anurag Mittal (Pattern Recognit., 2021)

Non-linear Motion Estimation for Video Frame Interpolation using Space-time Convolutions. - Saikat Dutta 002; Arulkumar Subramaniam; Anurag Mittal (CVPR Workshops, 2022)

Face Age Progression with Attribute Manipulation. - Sinzith Tatikonda; Athira M. Nambiar; Anurag Mittal (ICPRAI (1), 2022)

Co-Segmentation Aided Two-Stream Architecture for Video Captioning. - Jayesh Vaidya; Arulkumar Subramaniam; Anurag Mittal (WACV, 2022)

Co-segmentation inspired attention module for video-based computer vision tasks. - Arulkumar Subramaniam; Jayesh Vaidya; Muhammed Abdul Majeed Ameen; Athira M. Nambiar; Anurag Mittal (Comput. Vis. Image Underst., 2022)

On the role of question encoder sequence model in robust visual question answering. - Gouthaman KV; Anurag Mittal (Pattern Recognit., 2022)

MOVESe: MOVablE and Moving LiDAR Scene Segmentation with Improved Navigation in Seg-label free settings. - Prashant Kumar; Onkar Susladkar; Dhruv Makwana; Anurag Mittal; Prem Kumar Kalra (CoRR, 2023)

MOVES: Movable and moving LiDAR scene segmentation in label-free settings using static reconstruction. - Prashant Kumar; Dhruv Makwana; Onkar Susladkar; Anurag Mittal; Prem Kumar Kalra (Pattern Recognit., 2024)

Unsupervised co-generation of foreground-background segmentation from Text-to-Image synthesis. - Yeruru Asrar Ahmed; Anurag Mittal (Comput. Vis. Image Underst., 2025)

End-to-end Training for Text-to-Image Synthesis using Dual-Text Embeddings. - Yeruru Asrar Ahmed; Anurag Mittal (Trans. Mach. Learn. Res., 2025)