Efficient Space-Time Video Super Resolution Using Low-Resolution Flow and Mask Upsampling.
Saikat Dutta , Nisarg A. Shah, Anurag Mittal
Appeared in
IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2021, virtual, June 19-25, 2021,
pp.314-323, Jun 2021.
WDN: A Wide and Deep Network to Divide-and-Conquer Image Super-Resolution.
Vikram Singh, Anurag Mittal
Appeared in
IEEE J. Sel. Top. Signal Process.,
Vol 15, pp.264-278, 2021.
Domain Adaptive Knowledge Distillation for Driving Scene Semantic Segmentation.
Divya Kothandaraman, Athira M. Nambiar, Anurag Mittal
Appeared in
IEEE Winter Conference on Applications of Computer Vision Workshops, WACV Workshops 2021, Waikola, HI, USA, January 5-9, 2021,
pp.134-143, Jan 2021.
Linguistically-aware attention for reducing the semantic gap in vision-language tasks.
Reducing Language Biases in Visual Question Answering with Visually-Grounded Question Encoder.
Gouthaman KV, Anurag Mittal
Appeared in
Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XIII (ECCV 2020),
Lecture Notes in Computer Science, Vol 12358, pp.18-34, Aug 2020.
Stacked Adversarial Network for Zero-Shot Sketch based Image Retrieval.
Co-Segmentation Inspired Attention Networks for Video-Based Person Re-Identification.
Arulkumar Subramaniam, Athira Nambiar, Anurag Mittal
Appeared in
2019 IEEE/CVF International Conference on Computer Vision, ICCV 2019, Seoul, Korea (South), October 27 - November 2, 2019 (ICCV 2019),
pp.562-572, Nov 2019.
Adversarial Joint-Distribution Learning for Novel Class Sketch-Based Image Retrieval.
Anubha Pandey, Ashish Mishra, Vinay Kumar Verma, Anurag Mittal
Appeared in
2019 IEEE/CVF International Conference on Computer Vision Workshops, ICCV Workshops 2019, Seoul, Korea (South), October 27-28, 2019,
pp.1391-1400, Oct 2019.
Feature Ensemble Networks with Re-Ranking for Recognizing Disguised Faces in the Wild.
A 978GOPS/W Flexible Streaming Processor for Real-Time Image Processing Applications in 22nm FDSOI.
Sander Smets, Toon Goedem, Anurag Mittal, Marian Verhelst
Appeared in
IEEE International Solid- State Circuits Conference, ISSCC 2019, San Francisco, CA, USA, February 17-21, 2019 (ISSCC 2019),
pp.44-46, Feb 2019.
Data Augmentation Using Part Analysis for Shape Classification.
Deep Neural Networks with Inexact Matching for Person Re-Identification.
Arulkumar Subramaniam, Moitreya Chatterjee, Anurag Mittal
Appeared in
Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain,
pp.2667-2675, Dec 2016.
Bi-modal First Impressions Recognition Using Temporally Ordered Deep Audio and Stochastic Visual Features.
Improving Gradient Histogram Based Descriptors for Pedestrian Detection in Datasets with Large Variations.
Prashanth Balasubramanian, Sarthak Pathak, Anurag Mittal
Appeared in
2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2016, Las Vegas, NV, USA, June 26 - July 1, 2016,
pp.1177-1186, Jul 2016.
CoMaL: Good Features to Match on Object Boundaries.
Swarna Kamlam Ravindran, Anurag Mittal
Appeared in
2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016, Las Vegas, NV, USA, June 27-30, 2016 (CVPR 2016),
pp.336-345, Jun 2016.
Mixture of parts revisited: Expressive part interactions for Pose Estimation.
Anoop R. Katti, Anurag Mittal
Appeared in
2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops, Boston, MA, USA, June 7-12, 2015,
pp.59-67, Jun 2015.
Co-operative Pedestrians Group Tracking in Crowded Scenes Using an MST Approach.
Achint Setia, Anurag Mittal
Appeared in
2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2014, Waikoloa, HI, USA, January 5-9, 2015 (WACV 2014),
pp.102-108, Jan 2015.
Part-based deformable object detection with a single sketch.
A Performance Evaluation of Feature Descriptors for Image Stitching in Architectural Images.
Prashanth Balasubramanian, Vinay Kumar Verma, Anurag Mittal
Appeared in
Computer Vision - ACCV 2014 Workshops - Singapore, Singapore, November 1-2, 2014, Revised Selected Papers, Part II,
Lecture Notes in Computer Science, Vol 9009, pp.517-528, Nov 2014.
Similarity-Invariant Sketch-Based Image Retrieval in Large Databases.
Sarthak Parui, Anurag Mittal
Appeared in
Computer Vision - ECCV 2014 - 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part VI (ECCV 2014),
Lecture Notes in Computer Science, Vol 8694, pp.398-414, Sep 2014.
Revisiting Pose Estimation with Foreshortening Compensation and Color Information.
Achint Setia, Anoop R. Katti, Anurag Mittal
Appeared in
VISAPP 2014 - Proceedings of the 9th International Conference on Computer Vision Theory and Applications, Volume 2, Lisbon, Portugal, 5-8 January, 2014 (VISAPP 2014),
pp.31-38, Jan 2014.
Drawing an Automatic Sketch of Deformable Objects Using Only a Few Images.
Robust order-based methods for feature description.
Raj Gupta, Harshal Patil, Anurag Mittal
Appeared in
The Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2010, San Francisco, CA, USA, 13-18 June 2010 (CVPR 2010),
pp.334-341, Jun 2010.
Automated feature extraction for early detection of diabetic retinopathy in fundus images.
Saiprasad Ravishankar, Arpit Jain, Anurag Mittal
Appeared in
2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 20-25 June 2009, Miami, Florida, USA (CVPR 2009),
pp.210-217, Jun 2009.
Scene modeling and change detection in dynamic scenes: A subspace approach.
Multi-stage Contour Based Detection of Deformable Objects.
Saiprasad Ravishankar, Arpit Jain, Anurag Mittal
Appeared in
Computer Vision - ECCV 2008, 10th European Conference on Computer Vision, Marseille, France, October 12-18, 2008, Proceedings, Part I (ECCV 2008),
Lecture Notes in Computer Science, Vol 5302, pp.483-496, Oct 2008.
SMD: A Locally Stable Monotonic Change Invariant Feature Descriptor.
Raj Gupta, Anurag Mittal
Appeared in
Computer Vision - ECCV 2008, 10th European Conference on Computer Vision, Marseille, France, October 12-18, 2008, Proceedings, Part II (ECCV 2008),
Lecture Notes in Computer Science, Vol 5303, pp.265-277, Oct 2008.
Constraint Integration for Efficient Multiview Pose Estimation with Self-Occlusions.
Ser-Nam Lim, Larry S. Davis, Anurag Mittal
Appeared in
Computer Vision - ACCV 2007, 8th Asian Conference on Computer Vision, Tokyo, Japan, November 18-22, 2007, Proceedings, Part I (ACCV 2007),
Lecture Notes in Computer Science, Vol 4843, pp.397-407, Nov 2007.
COST: An Approach for Camera Selection and Multi-Object Inference Ordering in Dynamic Scenes.
Abhinav Gupta, Anurag Mittal, Larry S. Davis
Appeared in
IEEE 11th International Conference on Computer Vision, ICCV 2007, Rio de Janeiro, Brazil, October 14-20, 2007 (ICCV 2007),
pp.1-8, Oct 2007.
Illumination and Affine- Invariant Point Matching using an Ordinal Approach.
Raj Gupta, Anurag Mittal
Appeared in
IEEE 11th International Conference on Computer Vision, ICCV 2007, Rio de Janeiro, Brazil, October 14-20, 2007 (ICCV 2007),
pp.1-8, Oct 2007.
An Intensity-augmented Ordinal Measure for Visual Correspondence.
Anurag Mittal, Visvanathan Ramesh
Appeared in
2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 17-22 June 2006, New York, NY, USA (CVPR 2006),
pp.849-856, Jun 2006.
A Framework for Feature Selection for Background Subtraction.
Toufiq Parag, Ahmed M. Elgammal, Anurag Mittal
Appeared in
2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 17-22 June 2006, New York, NY, USA (CVPR 2006),
pp.1916-1923, Jun 2006.
Constraint Integration for Multiview Pose Estimation of Humans with Self-Occlusions.
Abhinav Gupta, Anurag Mittal, Larry S. Davis
Appeared in
3rd International Symposium on 3D Data Processing, Visualization and Transmission (3DPVT 2006), 14-16 June 2006, Chapel Hill, North Carolina, USA,
pp.900-907, Jun 2006.
Generalized Multi-sensor Planning.
Anurag Mittal
Appeared in
Computer Vision - ECCV 2006, 9th European Conference on Computer Vision, Graz, Austria, May 7-13, 2006, Proceedings, Part I (ECCV 2006),
Lecture Notes in Computer Science, Vol 3951, pp.522-535, May 2006.
Multi-view Reconstruction of Static and Dynamic Scenes.
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