Publications

Link to Google Scholar page 

Link to DBLP page 

Journal Articles:

• Co-segmentation inspired attention module for video-based computer vision tasks.  A Subramaniam, J Vaidya, MAM Ameen, A Nambiar, A Mittal.  Computer Vision and Image Understanding (CVIU), 2022. 
• On the role of question encoder sequence model in robust visual question answering.  KV Gouthaman and Anurag Mittal.  Pattern Recognition, 2022. 
• Linguistically-aware Attention for Reducing the Semantic-Gap in Vision-Language Tasks'.  KV Gouthaman, Athira Nambiar and Anurag Mittal.  Pattern Recognition, 2021. 
• WDN: A Wide and Deep Network to Divide-and-Conquer Image Super-resolution.  Vikram Singh and Anurag Mittal.  IEEE Journal of Selected Topics in Signal Processing, 2021. 
• Refining high-frequencies for sharper super-resolution and deblurring.  Vikram Singh, Keerthan Ramnath and Anurag Mittal.  Computer Vision and Image Understanding (CVIU), 2020. 
• Adaptive Locally Affine-Invariant Shape Matching using a Dynamic Programming - based Approach.  Smit Marvaniya, Raj Gupta and Anurag Mittal.  Machine Vision and Applications (MVA), 2018.  arXiv version.
• Part-based Deformable Object Detection with a Single Sketch .  Sreyasee Das Bhattacharya and Anurag Mittal.  Computer Vision and Image Understanding (Elsevier). (CVIU).  2015. Link to CVIU version     
  
• Scene Modeling and Change Detection in Dynamic Scenes: A Subspace Approach .  Anurag Mittal, Antoine Monnet and Nikos Paragios.  Computer Vision and Image Understanding (Elsevier). (CVIU).  Jan 2009, Vol 113(1), pp. 63-79. Link to CVIU version     
  
• Constraint Integration for Efficient Multiview Pose Estimation with Self-Occlusions .  Abhinav Gupta, Anurag Mittal and Larry S. Davis.  IEEE Transactions on Pattern Analysis and Machine Intelligence. (PAMI).  Mar 2008, Vol 30(3), pp. 493-506. Link to IEEE version     
  
• A General Method for Sensor Planning in Multi-Sensor Systems: Extension to Random Occlusion .  Anurag Mittal and Larry S. Davis.  International Journal of Computer Vision (Kluwer). (IJCV).  Jan 2008, Vol 76(1), pp. 31-52. Link to Springer version     
  
• Constructing Task Visibility Intervals for Video Surveillance .  Ser-Nam Lim, Larry S. Davis and Anurag Mittal.  ACM Multimedia Systems Journal (Special Issue on Multimedia Surveillance Systems),   Dec 2006, Vol. 12(3), pp. 211-226. Link to Springer version          
  
• M²Tracker: A Multi-View Approach to Segmenting and Tracking People in a Cluttered Scene.  Anurag Mittal and Larry S. Davis.  International Journal of Computer Vision (IJCV).  Feb/March 2003, Vol. 51 (3), pp. 189-203. Link to Springer/Kluwer version   Some results Link to M2Tracker Multi-Camera Multi-Person Simultaneous Capture Dataset  
  

Selected Conference Publications*:

• Reducing Language Biases in Visual Question Answering with Visually-Grounded Question Encoder. .  Gouthaman KV and Anurag Mittal.   In European Conference on Computer Vision (ECCV), Virtual Conference, Aug 2020.
  
• Co-segmentation Inspired Attention Networks for Video-based Person Re-identification .  ArulKumar, Athira Nambiar and Anurag Mittal.   In IEEE International Conference on Computer Vision (ICCV), Seoul, South Korea, Oct-Nov 2019.
  
• A Zero-Shot Framework for Sketch based Image Retrieval   Sasikiran Yelamarthi, Shiva Krishna Reddy M, Ashish Mishra and Anurag Mittal.  In European Conference on Computer Vision (ECCV) .  , Sep 2018. 
• An Empirical Evaluation of Visual Question Answering for Novel Objects   Santhosh Kumar Ramakrishnan, Gaurav Sharma and Anurag Mittal.  In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) .  Hawaii, July 2017. 
• Deep Neural Networks with Inexact Matching for Person Re-Identification.   Arulkumar, Moitreya Chatterjee and Anurag Mittal.  In The Thirtieth Annual Conference on Neural Information Processing Systems (NIPS).  Barcelona, Dec 2016. 
• CoMaL: Good Features to Match on Object Boundaries  Swarna Kamlam and Anurag Mittal.  In IEEE International Conference on Computer Vision and Pattern Recognition(CVPR).  Las Vegas, Jun 2016.  arXiv version.
• Co-operative Pedestrians Group Tracking in Crowded Scenes using an MST Approach.  Achint Setia and Anurag Mittal.  In IEEE Winter Conference on Applications of Computer Vision (WACV) (WACV), Hawaiii, Jan 2015.  Results 
• Similarity-invariant Sketch-based Image Retrieval in Large Databases .  Sarthak Parui and Anurag Mittal.  In 13^th European Conference on Computer Vision (ECCV), Zurich, Switzerland, Sep 2014.  Link to Dataset.
  
• Robust Order-based Methods for Feature Description.  Raj Gupta, Harshal Patil and Anurag Mittal.   In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, CA, June 2010. Code
  
• Automated Feature Extraction for Early Detection of Diabetic Retinopathy in Fundus Images.  Sai Prasad, Arpit Jain and Anurag Mittal.   In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Miami, FL, June 2009.
  
• SMD: A Locally Stable Monotonic Change Invariant Feature Descriptor .  Raj Gupta and Anurag Mittal.  In 10^th European Conference on Computer Vision (ECCV), Marseille, France, Oct 2008. code
  
• Multi-Stage Contour based Detection of Deformable Objects.  Sai Prasad, Arpit Jain and Anurag Mittal.  In 10^th European Conference on Computer Vision (ECCV), Marseille, France, Oct 2008.
  
• Task Scheduling in Large Camera Networks.  Ser-Nam Lim, Anurag Mittal and Larry S. Davis.  In Asian Conference on Computer Vision (ACCV), Tokyo, Japan, Nov 2007.
  
• COST : An Approach for Camera Selection and Multi-Object Inference Ordering in Dynamic Scenes .  Abhinav Gupta, Anurag Mittal and Larry S. Davis.   In IEEE International Conference on Computer Vision (ICCV), Rio de Janeiro, Brazil, Oct 2007.
  
• Illumination and Affine-Invariant Point Matching using an Ordinal Approach .  Raj Gupta and Anurag Mittal.   In IEEE International Conference on Computer Vision (ICCV), Rio de Janeiro, Brazil, Oct 2007.
  
• An Intensity-Augmented Ordinal Measure for Visual Correspondence.  Anurag Mittal and Visvanathan Ramesh.   In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New York, NY, June 2006.
  
• A Framework for Feature Selection for Background Subtraction.  Toufiq Parag, Ahmed Elgammal and Anurag Mittal.  In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New York, NY, June 2006.
  
• Generalized Multi-Sensor Planning.  Anurag Mittal.  In 9th^th European Conference on Computer Vision (ECCV), Austria, May, 2006.
  
• Fast Illumination-invariant Background Subtraction Using Two Views: Error Analysis, Sensor Placement and Applications. Ser-Nam Lim, Anurag Mittal, Larry S. Davis and Nikos Paragios. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San Diego, CA, June 2005.
  
• Motion-Based Background Subtraction using Adaptive Kernel Density Estimation. Anurag Mittal and Nikos Paragios.  In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Washington, DC, July 2004. Some results
  
• Visibility Analysis and Sensor Planning in Dynamic Environments.  Anurag Mittal and Larry S. Davis.  In 8^th European Conference on Computer Vision (ECCV), Prague, Czech Republic, May, 2004.
  
• Background Modeling and Subtraction of Dynamic Scenes.  Antoine Monnet, Anurag Mittal, Nikos Paragios and Visvanathan Ramesh.  IEEE International Conference on Computer Vision (ICCV), Nice, France, Oct 2003. Some results
  
• Human Body pose Estimation by Shape Analysis of Silhouettes.  Anurag Mittal, Liang Zhao and Larry Davis.  IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), Orlando, Florida, July 2003.
  
• M²Tracker: A Multi-View Approach to Segmenting and Tracking People in a Cluttered Scene Using Region-Based Stereo.  Anurag Mittal and Larry S. Davis.  In 7^th European Conference on Computer Vision (ECCV), Copenhagen, Denmark, May-Jun, 2002.  Some results   
  
• Site Modeling for Wide Area Surveillance and Image Synthesis.  Anurag Mittal and Dan Huttenlocher.  In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Hilton Head, South Carolina, June 2000. ps file
  
• Three-Dimensional Metamorphosis Using Multiplanar Representation.  Mahesh Ramasubramanium and Anurag Mittal.  In IEEE International Conference on Multimedia Computing and Systems (ICMCS), Centro Affari, Florence, Italy, June 1999.  Presentation
  

Book Chapters:

• Multi-view Reconstruction of Static and Dynamic Scenes. M. Agrawal, A. Mittal and L. Davis. In Mathematical Models in Computer Vision: The Handbook. pgs 405-422. Ed. Nikos Paragios, Yunmei Chen and Olivier Faugeras, 2005.
  

Others:

• Mixture of Parts Revisited: Expressive Part Interactions for Pose Estimation.  Anoop Katti and Anurag Mittal.  IEEE Workshop On Analysis and Modeling of Faces and Gestures (AMFG 2015).  arXiv version. 
• Drawing an automatic sketch of deformable objects using only a few images.  Smit Marvaniya, Somdutt Bhattacharjee, V Manickavasagam and Anurag Mittal.  ECCV 2012. Workshops and Demonstrations. 
• Real-time upper-body human pose estimation using a depth camera.  Himanshu Prakash Jain, A Subramanian, Sukhendu Das and Anurag Mittal. Computer Vision/Computer Graphics Collaboration Techniques, 227-238. 2011 
• Local Ternary Patterns and Maximum Bipartite Matching for Face Recognition.  Renuka Patnaik, Raj Gupta and Anurag Mittal.  In Computer Vision, Pattern Recognition, Image Processing and Graphics, 2011. 
• Foreground-Background Separation on GPU using order based approaches.  Indian Conference on Computer Vision, Pattern Recognition and Image Processing (ICVGIP), 2010.  Raj Gupta, Sailaja Reddy, Swagatika Panda, Sushant Sharma, Anurag Mittal. 
• Human Detection in Compressed Images.  S Banerjee, BP Singh, A Mittal.  Workshop along with 11th European Conference on Computer Vision (ECCV 2010) 
• Constraint Integration for Multiview Pose Estimation of Humans with Self-Occlusions.    Abhinav Gupta, Anurag Mittal and Larry S. Davis.  In Third International Symposium on 3D Data Processing, Visualization and Transmission (3DPVT), Chapel Hill, NC, USA, 2006. 
• Constructing Task Visibility Intervals for Surveillance Systems.  Ser-Nam Lim, Anurag Mittal and Larry Davis.  3rd ACM International Workshop on Video Surveillance & Sensor Networks (VSSN), 2005, Nov 11-12, Singapore. 
• "Uncalibrated Stereo Rectification for Automatic 3D Surveillance". Ser-Nam Lim, Anurag Mittal and Larry S. Davis. IEEE ICIP 2004, Oct 24-27, Singapore
• Unified Multi-Camera Detection and Tracking Using Region-Matching.  Anurag Mittal and Larry S. Davis.  In IEEE Workshop on Multi-Object Tracking (WOMOT), Vancouver, Canada, July 2001.
  

Thesis:

• Video Analysis under Severe Occlusions.  PhD Thesis, University of Maryland, College Park, 2002. 
  
• Robot Navigation with Online Control.  B.Tech. Thesis, IIT Delhi, 1997. 
  

* CVPR, ICCV and ECCV are premier conferences in Computer Vision with very rigorous reviewing procedures and acceptance rates around 15-25%.