Abhishek Sharma

24 papers A* 5A 1B 1Journal 14Unranked 2
YearRankTypeTitle / Venue / Authors
2022 A conf
Learning visual representations for transfer learning by suppressing texture.
BMVC
Shlok Kumar Mishra, Anshul Shah, Ankan Bansal, Janit Anjaria, Jonghyun Choi, Abhinav Shrivastava, Abhishek Sharma, David Jacobs
2022 J jnl
Object-aware Cropping for Self-Supervised Learning.
Trans. Mach. Learn. Res.
Shlok Kumar Mishra, Anshul Shah, Ankan Bansal, Janit Anjaria, Abhyuday N. Jagannatha, Abhishek Sharma, David Jacobs, Dilip Krishnan
2022 J jnl
Scale Normalized Image Pyramids With AutoFocus for Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Bharat Singh, Mahyar Najibi, Abhishek Sharma, Larry S. Davis
2021 J jnl
Object-Aware Cropping for Self-Supervised Learning.
CoRR
Shlok Mishra, Anshul Shah, Ankan Bansal, Abhyuday Jagannatha, Abhishek Sharma, David Jacobs, Dilip Krishnan
2021 J jnl
Scale Normalized Image Pyramids with AutoFocus for Object Detection.
CoRR
Bharat Singh, Mahyar Najibi, Abhishek Sharma, Larry S. Davis
2020 J jnl
ASAP-NMS: Accelerating Non-Maximum Suppression Using Spatially Aware Priors.
CoRR
Rohun Tripathi, Vasu Singla, Mahyar Najibi, Bharat Singh, Abhishek Sharma, Larry Davis
2020 J jnl
Learning Visual Representations for Transfer Learning by Suppressing Texture.
CoRR
Shlok Kumar Mishra, Anshul Shah, Ankan Bansal, Jonghyun Choi, Abhinav Shrivastava, Abhishek Sharma, David W. Jacobs
2020 J jnl
Towards Automatic Generation of Questions from Long Answers.
CoRR
Shlok Kumar Mishra, Pranav Goel, Abhishek Sharma, Abhyuday Jagannatha, David W. Jacobs, Hal Daumé III
2018 A* conf
R-FCN-3000 at 30fps: Decoupling Detection and Classification.
CVPR
Bharat Singh, Hengduo Li, Abhishek Sharma, Larry S. Davis
2017 J jnl
R-FCN-3000 at 30fps: Decoupling Detection and Classification.
CoRR
Bharat Singh, Hengduo Li, Abhishek Sharma, Larry S. Davis
2015 J jnl
Deep Hierarchical Parsing for Semantic Segmentation.
CoRR
Abhishek Sharma, Oncel Tuzel, David W. Jacobs
2015 A* conf
Deep hierarchical parsing for semantic segmentation.
CVPR
Abhishek Sharma, Oncel Tuzel, David W. Jacobs
2015 — —
Learning from Multiple Views of Data.
Abhishek Sharma
2014 J jnl
Locally Scale-Invariant Convolutional Neural Networks.
CoRR
Angjoo Kanazawa, Abhishek Sharma, David W. Jacobs
2014 B conf
Multi-Modal Image Retrieval for Complex Queries using Small Codes.
ICMR
Behjat Siddiquie, Brandyn White, Abhishek Sharma, Larry S. Davis
2014 — conf
Recursive Context Propagation Network for Semantic Scene Labeling.
NIPS
Abhishek Sharma, Oncel Tuzel, Ming-Yu Liu
2013 A* conf
A Sentence Is Worth a Thousand Pixels.
CVPR
Sanja Fidler, Abhishek Sharma, Raquel Urtasun
2012 — conf
Data insufficiency in sketch versus photo face recognition.
CVPR Workshops
Jonghyun Choi, Abhishek Sharma, David W. Jacobs, Larry S. Davis
2012 A* conf
Generalized Multiview Analysis: A discriminative latent space.
CVPR
Abhishek Sharma, Abhishek Kumar, Hal Daumé III, David W. Jacobs
2012 J jnl
Robust pose invariant face recognition using coupled latent space discriminant analysis.
Comput. Vis. Image Underst.
Abhishek Sharma, Murad Al Haj, Jonghyun Choi, Larry S. Davis, David W. Jacobs
2011 A* conf
Bypassing synthesis: PLS for face recognition with pose, low-resolution and sketch.
CVPR
Abhishek Sharma, David W. Jacobs
2010 J jnl
Innovative Rated-Resource Peer-to-Peer Network
CoRR
Abhishek Sharma, Hao Shi
2010 J jnl
Pose invariant face recognition based on hybrid-global linear regression.
Neural Comput. Appl.
Abhishek Sharma, Anamika Dubey, Abhyuday N. Jagannatha, R. S. Anand
2010 J jnl
Pose invariant virtual classifiers from single training image using novel hybrid-eigenfaces.
Neurocomputing
Abhishek Sharma, Anamika Dubey, Pushkar Tripathi, Vinod Kumar