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Anurag Mittal
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2020 – today
- 2025
- [j14]Yeruru Asrar Ahmed
, Anurag Mittal:
Unsupervised co-generation of foreground-background segmentation from Text-to-Image synthesis. Comput. Vis. Image Underst. 250: 104223 (2025) - 2024
- [j13]Prashant Kumar
MOVES: Movable and moving LiDAR scene segmentation in label-free settings using static reconstruction. Pattern Recognit. 155: 110651 (2024) - [c56]Yeruru Asrar Ahmed, Anurag Mittal:
Unsupervised Co-generation of Foreground-Background Segmentation from Text-to-Image Synthesis. WACV 2024: 5046-5057 - 2023
- [i23]Prashant Kumar, Onkar Susladkar, Dhruv Makwana
MOVESe: MOVablE and Moving LiDAR Scene Segmentation with Improved Navigation in Seg-label free settings. CoRR abs/2306.14812 (2023) - 2022
- [j12]Arulkumar Subramaniam
Co-segmentation inspired attention module for video-based computer vision tasks. Comput. Vis. Image Underst. 223: 103532 (2022) - [j11]Gouthaman KV, Anurag Mittal:
On the role of question encoder sequence model in robust visual question answering. Pattern Recognit. 131: 108883 (2022) - [c55]Saikat Dutta, Arulkumar Subramaniam, Anurag Mittal:
Non-linear Motion Estimation for Video Frame Interpolation using Space-time Convolutions. CVPR Workshops 2022: 1725-1730 - [c54]Sinzith Tatikonda, Athira M. Nambiar, Anurag Mittal:
Face Age Progression with Attribute Manipulation. ICPRAI (1) 2022: 639-652 - [c53]Jayesh Vaidya, Arulkumar Subramaniam, Anurag Mittal:
Co-Segmentation Aided Two-Stream Architecture for Video Captioning. WACV 2022: 2442-2452 - [i22]Saikat Dutta, Arulkumar Subramaniam, Anurag Mittal:
Non-linear Motion Estimation for Video Frame Interpolation using Space-time Convolutions. CoRR abs/2201.11407 (2022) - 2021
- [j10]Vikram Singh
WDN: A Wide and Deep Network to Divide-and-Conquer Image Super-Resolution. IEEE J. Sel. Top. Signal Process. 15(2): 264-278 (2021) - [j9]Gouthaman KV, Athira M. Nambiar
Linguistically-aware attention for reducing the semantic gap in vision-language tasks. Pattern Recognit. 112: 107812 (2021) - [c52]Saikat Dutta, Nisarg A. Shah, Anurag Mittal:
Efficient Space-Time Video Super Resolution Using Low-Resolution Flow and Mask Upsampling. CVPR Workshops 2021: 314-323 - [c51]Divya Kothandaraman, Athira M. Nambiar, Anurag Mittal:
Domain Adaptive Knowledge Distillation for Driving Scene Semantic Segmentation. WACV (Workshops) 2021: 134-143 - [i21]Saikat Dutta, Nisarg A. Shah, Anurag Mittal:
Efficient Space-time Video Super Resolution using Low-Resolution Flow and Mask Upsampling. CoRR abs/2104.05778 (2021) - [i20]Sinzith Tatikonda, Athira M. Nambiar, Anurag Mittal:
Face Age Progression With Attribute Manipulation. CoRR abs/2106.07696 (2021) - [i19]Gouthaman KV, Anurag Mittal:
On the Significance of Question Encoder Sequence Model in the Out-of-Distribution Performance in Visual Question Answering. CoRR abs/2108.12585 (2021) - [i18]Arulkumar Subramaniam, Jayesh Vaidya, Muhammed Abdul Majeed Ameen, Athira M. Nambiar, Anurag Mittal:
Co-segmentation Inspired Attention Module for Video-based Computer Vision Tasks. CoRR abs/2111.07370 (2021) - 2020
- [j8]Vikram Singh
Refining high-frequencies for sharper super-resolution and deblurring. Comput. Vis. Image Underst. 199: 103034 (2020) - [c50]Gouthaman KV, Anurag Mittal:
Reducing Language Biases in Visual Question Answering with Visually-Grounded Question Encoder. ECCV (13) 2020: 18-34 - [c49]Vikram Singh
Going Much Wider with Deep Networks for Image Super-Resolution. WACV 2020: 2332-2343 - [c48]Anubha Pandey, Ashish Mishra, Vinay Kumar Verma, Anurag Mittal, Hema A. Murthy:
Stacked Adversarial Network for Zero-Shot Sketch based Image Retrieval. WACV 2020: 2529-2538 - [c47]Vikram Singh
High-Frequency Refinement for Sharper Video Super-Resolution. WACV 2020: 3288-3297 - [i17]Anubha Pandey, Ashish Mishra, Vinay Kumar Verma, Anurag Mittal, Hema A. Murthy:
Stacked Adversarial Network for Zero-Shot Sketch based Image Retrieval. CoRR abs/2001.06657 (2020) - [i16]Gouthaman KV, Anurag Mittal:
Reducing Language Biases in Visual Question Answering with Visually-Grounded Question Encoder. CoRR abs/2007.06198 (2020) - [i15]Gouthaman KV, Athira M. Nambiar, Kancheti Sai Srinivas, Anurag Mittal:
Linguistically-aware Attention for Reducing the Semantic-Gap in Vision-Language Tasks. CoRR abs/2008.08012 (2020) - [i14]Vikram Singh, Anurag Mittal:
WDN: A Wide and Deep Network to Divide-and-Conquer Image Super-resolution. CoRR abs/2010.03199 (2020) - [i13]Rahul Chakwate, Arulkumar Subramaniam, Anurag Mittal:
MARNet: Multi-Abstraction Refinement Network for 3D Point Cloud Analysis. CoRR abs/2011.00923 (2020) - [i12]Divya Kothandaraman, Athira M. Nambiar, Anurag Mittal:
Domain Adaptive Knowledge Distillation for Driving Scene Semantic Segmentation. CoRR abs/2011.08007 (2020)
2010 – 2019
- 2019
- [c46]Arulkumar Subramaniam, Athira M. Nambiar, Anurag Mittal:
Co-Segmentation Inspired Attention Networks for Video-Based Person Re-Identification. ICCV 2019: 562-572 - [c45]Arulkumar Subramaniam, Ajay Narayanan Sridhar, Anurag Mittal:
Feature Ensemble Networks with Re-Ranking for Recognizing Disguised Faces in the Wild. ICCV Workshops 2019: 532-541 - [c44]Anubha Pandey, Ashish Mishra, Vinay Kumar Verma, Anurag Mittal:
Adversarial Joint-Distribution Learning for Novel Class Sketch-Based Image Retrieval. ICCV Workshops 2019: 1391-1400 - [c43]Sander Smets, Toon Goedemé
A 978GOPS/W Flexible Streaming Processor for Real-Time Image Processing Applications in 22nm FDSOI. ISSCC 2019: 44-46 - [c42]Vismay Patel, Niranjan Mujumdar, Prashanth Balasubramanian, Smit Marvaniya, Anurag Mittal:
Data Augmentation Using Part Analysis for Shape Classification. WACV 2019: 1223-1232 - [i11]Manoj Kumar Lenka, Anubha Pandey, Anurag Mittal:
Blind Deblurring Using GANs. CoRR abs/1907.11880 (2019) - 2018
- [j7]Smit Marvaniya
Adaptive locally affine-invariant shape matching. Mach. Vis. Appl. 29(4): 553-572 (2018) - [c41]Ashish Mishra, M. Shiva Krishna Reddy, Anurag Mittal, Hema A. Murthy:
A Generative Model for Zero Shot Learning Using Conditional Variational Autoencoders. CVPR Workshops 2018: 2188-2196 - [c40]Sasi Kiran Yelamarthi, M. Shiva Krishna Reddy, Ashish Mishra, Anurag Mittal:
A Zero-Shot Framework for Sketch Based Image Retrieval. ECCV (4) 2018: 316-333 - [c39]Luca Pirro, Olaf Zimmerhackl, Alban Zaka, Lars Müller-Meskamp, Ranjith Nelluri, Tom Hermann, Ignasi Cortes-Mayol, Andreas Huschka, Michael Otto, E. Nowak, Anurag Mittal, Jan Hoentschel:
RTN and LFN Noise Performance in Advanced FDSOI Technology. ESSDERC 2018: 254-257 - [c38]Ashish Mishra, Vinay Kumar Verma, M. Shiva Krishna Reddy, Arulkumar Subramaniam, Piyush Rai, Anurag Mittal:
A Generative Approach to Zero-Shot and Few-Shot Action Recognition. WACV 2018: 372-380 - [c37]Arulkumar Subramaniam, Prashanth Balasubramanian, Anurag Mittal:
NCC-Net: Normalized Cross Correlation Based Deep Matcher with Robustness to Illumination Variations. WACV 2018: 1944-1953 - [i10]Ashish Mishra, Vinay Kumar Verma, M. Shiva Krishna Reddy, Arulkumar Subramaniam, Piyush Rai, Anurag Mittal:
A Generative Approach to Zero-Shot and Few-Shot Action Recognition. CoRR abs/1801.09086 (2018) - [i9]Sasi Kiran Yelamarthi, M. Shiva Krishna Reddy, Ashish Mishra, Anurag Mittal:
A Zero-Shot Framework for Sketch-based Image Retrieval. CoRR abs/1807.11724 (2018) - 2017
- [c36]Santhosh K. Ramakrishnan, Swarna Kamlam Ravindran, Anurag Mittal:
CoMaL Tracking: Tracking Points at the Object Boundaries. CVPR Workshops 2017: 2133-2142 - [c35]Santhosh K. Ramakrishnan, Ambar Pal, Gaurav Sharma, Anurag Mittal:
An Empirical Evaluation of Visual Question Answering for Novel Objects. CVPR 2017: 7312-7321 - [i8]Santhosh K. Ramakrishnan, Ambar Pal, Gaurav Sharma, Anurag Mittal:
An Empirical Evaluation of Visual Question Answering for Novel Objects. CoRR abs/1704.02516 (2017) - [i7]Santhosh K. Ramakrishnan, Swarna Kamlam Ravindran, Anurag Mittal:
CoMaL Tracking: Tracking Points at the Object Boundaries. CoRR abs/1706.02331 (2017) - [i6]Ashish Mishra, M. Shiva Krishna Reddy, Anurag Mittal, Hema A. Murthy:
A Generative Model For Zero Shot Learning Using Conditional Variational Autoencoders. CoRR abs/1709.00663 (2017) - 2016
- [c34]Swarna Kamlam Ravindran, Anurag Mittal:
CoMaL: Good Features to Match on Object Boundaries. CVPR 2016: 336-345 - [c33]Prashanth Balasubramanian, Sarthak Pathak
Improving Gradient Histogram Based Descriptors for Pedestrian Detection in Datasets with Large Variations. CVPR Workshops 2016: 1177-1186 - [c32]Arulkumar Subramaniam, Vismay Patel, Ashish Mishra, Prashanth Balasubramanian, Anurag Mittal:
Bi-modal First Impressions Recognition Using Temporally Ordered Deep Audio and Stochastic Visual Features. ECCV Workshops (3) 2016: 337-348 - [c31]Arulkumar Subramaniam, Moitreya Chatterjee, Anurag Mittal:
Deep Neural Networks with Inexact Matching for Person Re-Identification. NIPS 2016: 2667-2675 - [i5]Arulkumar Subramaniam, Vismay Patel, Ashish Mishra, Prashanth Balasubramanian, Anurag Mittal:
Bi-modal First Impressions Recognition using Temporally Ordered Deep Audio and Stochastic Visual Features. CoRR abs/1610.10048 (2016) - 2015
- [j6]Sreyasee Bhattacharjee, Anurag Mittal:
Part-based deformable object detection with a single sketch. Comput. Vis. Image Underst. 139: 73-87 (2015) - [c30]Anoop R. Katti, Anurag Mittal:
Mixture of parts revisited: Expressive part interactions for Pose Estimation. CVPR Workshops 2015: 59-67 - [c29]Achint Setia, Anurag Mittal:
Co-operative Pedestrians Group Tracking in Crowded Scenes Using an MST Approach. WACV 2015: 102-108 - [i4]Smit Marvaniya, Raj Gupta, Anurag Mittal:
Adaptive Locally Affine-Invariant Shape Matching. CoRR abs/1504.06719 (2015) - [i3]Sarthak Parui, Anurag Mittal:
Sketch-based Image Retrieval from Millions of Images under Rotation, Translation and Scale Variations. CoRR abs/1511.00099 (2015) - 2014
- [c28]Prashanth Balasubramanian, Vinay Kumar Verma, Anurag Mittal:
A Performance Evaluation of Feature Descriptors for Image Stitching in Architectural Images. ACCV Workshops (2) 2014: 517-528 - [c27]Sarthak Parui, Anurag Mittal:
Similarity-Invariant Sketch-Based Image Retrieval in Large Databases. ECCV (6) 2014: 398-414 - [c26]Achint Setia, Anoop R. Katti, Anurag Mittal:
Revisiting Pose Estimation with Foreshortening Compensation and Color Information. VISAPP (2) 2014: 31-38 - [i2]Swarna Kamlam Ravindran, Anurag Mittal:
CoMIC: Good features for detection and matching at object boundaries. CoRR abs/1412.1957 (2014) - [i1]Anoop R. Katti, Anurag Mittal:
Mixture of Parts Revisited: Expressive Part Interactions for Pose Estimation. CoRR abs/1412.6791 (2014) - 2012
- [c25]Smit Marvaniya, Sreyasee Bhattacharjee, Venkatesh Manickavasagam, Anurag Mittal:
Drawing an Automatic Sketch of Deformable Objects Using Only a Few Images. ECCV Workshops (1) 2012: 63-72 - 2011
- [c24]Himanshu Prakash Jain, Anbumani Subramanian
Real-Time Upper-Body Human Pose Estimation Using a Depth Camera. MIRAGE 2011: 227-238 - 2010
- [c23]Raj Gupta, Harshal Patil, Anurag Mittal:
Robust order-based methods for feature description. CVPR 2010: 334-341 - [c22]Raj Gupta, Reddy M. Sailaja, Swagatika Panda, Sushant Sharma, Anurag Mittal:
Foreground-background separation on GPU using order based approaches. ICVGIP 2010: 448-455
2000 – 2009
- 2009
- [j5]Anurag Mittal, Antoine Monnet, Nikos Paragios:
Scene modeling and change detection in dynamic scenes: A subspace approach. Comput. Vis. Image Underst. 113(1): 63-79 (2009) - [c21]Saiprasad Ravishankar, Arpit Jain
Automated feature extraction for early detection of diabetic retinopathy in fundus images. CVPR 2009: 210-217 - 2008
- [j4]Anurag Mittal, Larry S. Davis:
A General Method for Sensor Planning in Multi-Sensor Systems: Extension to Random Occlusion. Int. J. Comput. Vis. 76(1): 31-52 (2008) - [j3]Abhinav Gupta, Anurag Mittal, Larry S. Davis:
Constraint Integration for Efficient Multiview Pose Estimation with Self-Occlusions. IEEE Trans. Pattern Anal. Mach. Intell. 30(3): 493-506 (2008) - [c20]Raj Gupta, Anurag Mittal:
SMD: A Locally Stable Monotonic Change Invariant Feature Descriptor. ECCV (2) 2008: 265-277 - [c19]Saiprasad Ravishankar, Arpit Jain, Anurag Mittal:
Multi-stage Contour Based Detection of Deformable Objects. ECCV (1) 2008: 483-496 - 2007
- [c18]Ser-Nam Lim, Larry S. Davis, Anurag Mittal:
Task Scheduling in Large Camera Networks. ACCV (1) 2007: 397-407 - [c17]Raj Gupta, Anurag Mittal:
Illumination and Affine- Invariant Point Matching using an Ordinal Approach. ICCV 2007: 1-8 - [c16]Abhinav Gupta, Anurag Mittal, Larry S. Davis:
COST: An Approach for Camera Selection and Multi-Object Inference Ordering in Dynamic Scenes. ICCV 2007: 1-8 - 2006
- [j2]Ser-Nam Lim, Larry S. Davis, Anurag Mittal:
Constructing task visibility intervals for video surveillance. Multim. Syst. 12(3): 211-226 (2006) - [c15]Abhinav Gupta, Anurag Mittal, Larry S. Davis:
Constraint Integration for Multiview Pose Estimation of Humans with Self-Occlusions. 3DPVT 2006: 900-907 - [c14]Anurag Mittal, Visvanathan Ramesh:
An Intensity-augmented Ordinal Measure for Visual Correspondence. CVPR (1) 2006: 849-856 - [c13]Toufiq Parag, Ahmed M. Elgammal
A Framework for Feature Selection for Background Subtraction. CVPR (2) 2006: 1916-1923 - [c12]Anurag Mittal:
Generalized Multi-sensor Planning. ECCV (1) 2006: 522-535 - [p1]Motilal Agrawal, Anurag Mittal, Larry S. Davis:
Multi-view Reconstruction of Static and Dynamic Scenes. Handbook of Mathematical Models in Computer Vision 2006: 405-422 - 2005
- [c11]Ser-Nam Lim, Anurag Mittal, Larry S. Davis, Nikos Paragios:
Fast Illumination-Invariant Background Subtraction Using Two Views: Error Analysis, Sensor Placement and Applications. CVPR (1) 2005: 1071-1078 - [c10]Ser-Nam Lim, Anurag Mittal, Larry Davis:
Constructing task visibility intervals for a surveillance system. VSSN@MM 2005: 141-148 - 2004
- [c9]Anurag Mittal, Nikos Paragios:
Motion-Based Background Subtraction Using Adaptive Kernel Density Estimation. CVPR (2) 2004: 302-309 - [c8]Anurag Mittal, Larry S. Davis:
Visibility Analysis and Sensor Planning in Dynamic Environments. ECCV (1) 2004: 175-189 - [c7]Ser-Nam Lim, Anurag Mittal, Larry S. Davis, Nikos Paragios:
Uncalibrated stereo rectification for automatic 3d surveillance. ICIP 2004: 1357-1360 - 2003
- [j1]Anurag Mittal, Larry S. Davis:
M2Tracker: A Multi-View Approach to Segmenting and Tracking People in a Cluttered Scene. Int. J. Comput. Vis. 51(3): 189-203 (2003) - [c6]Anurag Mittal, Liang Zhao, Larry S. Davis:
Human Body Pose Estimation Using Silhouette Shape Analysis. AVSS 2003: 263-270 - [c5]Antoine Monnet, Anurag Mittal, Nikos Paragios, Visvanathan Ramesh:
Background Modeling and Subtraction of Dynamic Scenes. ICCV 2003: 1305-1312 - 2002
- [c4]Anurag Mittal, Larry S. Davis:
M2Tracker: A Multi-view Approach to Segmenting and Tracking People in a Cluttered Scene Using Region-Based Stereo. ECCV (1) 2002: 18-36 - [c3]Anurag Mittal, Loong Fah Cheong, Asuthosh Nair:
Parsing video programs into individual segments using FSA modeling. ICIP (2) 2002: 429-432 - 2000
- [c2]Anurag Mittal, Daniel P. Huttenlocher:
Scene Modeling for Wide Area Surveillance and Image Synthesis. CVPR 2000: 2160-2167
1990 – 1999
- 1999
- [c1]Mahesh Ramasubramanian, Anurag Mittal:
Three-Dimensional Metamorphosis Using Multiplanar Representation. ICMCS, Vol. 1 1999: 270-275
Coauthor Index
Larry Davis 0001
aka: Larry S. Davis
aka: Larry S. Davis
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