Abhishek Sharma

Publication Activity (10 Years)

Years Active: 2010-2022
Publications (10 Years): 10

Top Venues

CoRR

CVPR

BMVC

NIPS

University of Maryland, College Park, MD, USA (PHD)

Education History

University of Maryland, College Park, MD, USA

PHD

Publications

Bharat Singh, Mahyar Najibi, Abhishek Sharma, Larry S. Davis
Scale Normalized Image Pyramids With AutoFocus for Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44 (7) (2022)
Shlok Kumar Mishra, Anshul Shah, Ankan Bansal, Janit Anjaria, Abhyuday N. Jagannatha, Abhishek Sharma, David Jacobs, Dilip Krishnan
Object-aware Cropping for Self-Supervised Learning. Trans. Mach. Learn. Res. 2022 (2022)
Shlok Kumar Mishra, Anshul Shah, Ankan Bansal, Janit Anjaria, Jonghyun Choi, Abhinav Shrivastava, Abhishek Sharma, David Jacobs
Learning visual representations for transfer learning by suppressing texture. BMVC (2022)
Bharat Singh, Mahyar Najibi, Abhishek Sharma, Larry S. Davis
Scale Normalized Image Pyramids with AutoFocus for Object Detection. CoRR (2021)
Shlok Mishra, Anshul Shah, Ankan Bansal, Abhyuday Jagannatha, Abhishek Sharma, David W. Jacobs, Dilip Krishnan
Object-Aware Cropping for Self-Supervised Learning. CoRR (2021)
Rohun Tripathi, Vasu Singla, Mahyar Najibi, Bharat Singh, Abhishek Sharma, Larry Davis
ASAP-NMS: Accelerating Non-Maximum Suppression Using Spatially Aware Priors. CoRR (2020)
Shlok Kumar Mishra, Pranav Goel, Abhishek Sharma, Abhyuday Jagannatha, David W. Jacobs, Hal Daumé III
Towards Automatic Generation of Questions from Long Answers. CoRR (2020)
Shlok Kumar Mishra, Anshul Shah, Ankan Bansal, Jonghyun Choi, Abhinav Shrivastava, Abhishek Sharma, David W. Jacobs
Learning Visual Representations for Transfer Learning by Suppressing Texture. CoRR (2020)
Bharat Singh, Hengduo Li, Abhishek Sharma, Larry S. Davis
R-FCN-3000 at 30fps: Decoupling Detection and Classification. CVPR (2018)
Bharat Singh, Hengduo Li, Abhishek Sharma, Larry S. Davis
R-FCN-3000 at 30fps: Decoupling Detection and Classification. CoRR (2017)
Abhishek Sharma, Oncel Tuzel, David W. Jacobs
Deep Hierarchical Parsing for Semantic Segmentation. CoRR (2015)
Abhishek Sharma, Oncel Tuzel, David W. Jacobs
Deep hierarchical parsing for semantic segmentation. CVPR (2015)
Behjat Siddiquie, Brandyn White, Abhishek Sharma, Larry S. Davis
Multi-Modal Image Retrieval for Complex Queries using Small Codes. ICMR (2014)
Abhishek Sharma, Oncel Tuzel, Ming-Yu Liu
Recursive Context Propagation Network for Semantic Scene Labeling. NIPS (2014)
Angjoo Kanazawa, Abhishek Sharma, David W. Jacobs
Locally Scale-Invariant Convolutional Neural Networks. CoRR (2014)
Sanja Fidler, Abhishek Sharma, Raquel Urtasun
A Sentence Is Worth a Thousand Pixels. CVPR (2013)
Abhishek Sharma, Murad Al Haj, Jonghyun Choi, Larry S. Davis, David W. Jacobs
Robust pose invariant face recognition using coupled latent space discriminant analysis. Comput. Vis. Image Underst. 116 (11) (2012)
Jonghyun Choi, Abhishek Sharma, David W. Jacobs, Larry S. Davis
Data insufficiency in sketch versus photo face recognition. CVPR Workshops (2012)
Abhishek Sharma, Abhishek Kumar, Hal Daumé III, David W. Jacobs
Generalized Multiview Analysis: A discriminative latent space. CVPR (2012)
Abhishek Sharma, David W. Jacobs
Bypassing synthesis: PLS for face recognition with pose, low-resolution and sketch. CVPR (2011)
Abhishek Sharma, Anamika Dubey, Abhyuday N. Jagannatha, R. S. Anand
Pose invariant face recognition based on hybrid-global linear regression. Neural Comput. Appl. 19 (8) (2010)
Abhishek Sharma, Hao Shi
Innovative Rated-Resource Peer-to-Peer Network CoRR (2010)
Abhishek Sharma, Anamika Dubey, Pushkar Tripathi, Vinod Kumar
Pose invariant virtual classifiers from single training image using novel hybrid-eigenfaces. Neurocomputing 73 (10-12) (2010)

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Publication Activity (10 Years)

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Abhishek Sharma