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Avisek Lahiri
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2020 – today
- 2024
- [c15]Wan-Duo Kurt Ma, Avisek Lahiri, John P. Lewis, Thomas Leung, W. Bastiaan Kleijn
:
Directed Diffusion: Direct Control of Object Placement through Attention Guidance. AAAI 2024: 4098-4106 - 2022
- [c14]Avisek Lahiri, Junjie Ke, Daniel Vlasic, Xinwei Yao
Identifying Document Images with Glare Using Global and Localized Feature Fusion. ICIP 2022: 756-760 - 2021
- [j2]Avisek Lahiri
Lightweight Modules for Efficient Deep Learning Based Image Restoration. IEEE Trans. Circuits Syst. Video Technol. 31(4): 1395-1410 (2021) - [c13]Avisek Lahiri, Vivek Kwatra, Christian Früh, John Lewis, Chris Bregler:
LipSync3D: Data-Efficient Learning of Personalized 3D Talking Faces From Video Using Pose and Lighting Normalization. CVPR 2021: 2755-2764 - [i12]Avisek Lahiri, Vivek Kwatra, Christian Früh, John Lewis, Chris Bregler:
LipSync3D: Data-Efficient Learning of Personalized 3D Talking Faces from Video using Pose and Lighting Normalization. CoRR abs/2106.04185 (2021) - 2020
- [c12]Avisek Lahiri, Arnav Kumar Jain, Sanskar Agrawal, Pabitra Mitra, Prabir Kumar Biswas:
Prior Guided GAN Based Semantic Inpainting. CVPR 2020: 13693-13702 - [c11]Avisek Lahiri, Vineet Jain, Arnab Mondal, Prabir Kumar Biswas:
Retinal Vessel Segmentation Under Extreme Low Annotation: A Gan Based Semi-Supervised Approach. ICIP 2020: 418-422 - [i11]Avisek Lahiri, Sourav Bairagya, Sutanu Bera, Siddhant Haldar, Prabir Kumar Biswas:
Lightweight Modules for Efficient Deep Learning based Image Restoration. CoRR abs/2007.05835 (2020)
2010 – 2019
- 2019
- [c10]Avisek Lahiri, Arnav Kumar Jain, Divyasri Nadendla, Prabir Kumar Biswas:
Faster Unsupervised Semantic Inpainting: A GAN Based Approach. ICIP 2019: 2706-2710 - [c9]Avisek Lahiri, Sri Charan Ragireddy, Prabir Kumar Biswas, Pabitra Mitra:
Unsupervised Adversarial Visual Level Domain Adaptation for Learning Video Object Detectors From Images. WACV 2019: 1807-1815 - [i10]Avisek Lahiri, Arnav Kumar Jain, Divyasri Nadendla, Prabir Kumar Biswas:
Faster Unsupervised Semantic Inpainting: A GAN Based Approach. CoRR abs/1908.04968 (2019) - [i9]Avisek Lahiri, Arnav Kumar Jain, Prabir Kumar Biswas:
The Angel is in the Priors: Improving GAN based Image and Sequence Inpainting with Better Noise and Structural Priors. CoRR abs/1908.05861 (2019) - 2018
- [j1]Avisek Lahiri
Forward Stagewise Additive Model for Collaborative Multiview Boosting. IEEE Trans. Neural Networks Learn. Syst. 29(2): 470-485 (2018) - [c8]Avisek Lahiri, Abhinav Agarwalla, Prabir Kumar Biswas:
Unsupervised Domain Adaptation for Learning Eye Gaze from a Million Synthetic Images: An Adversarial Approach. ICVGIP 2018: 69:1-69:9 - [i8]Avisek Lahiri, Vineet Jain, Arnab Mondal, Prabir Kumar Biswas:
Retinal Vessel Segmentation under Extreme Low Annotation: A Generative Adversarial Network Approach. CoRR abs/1809.01348 (2018) - [i7]Avisek Lahiri, Charan Reddy, Prabir Kumar Biswas:
Unsupervised Adversarial Visual Level Domain Adaptation for Learning Video Object Detectors from Images. CoRR abs/1810.02074 (2018) - [i6]Avisek Lahiri, Abhinav Agarwalla, Prabir Kumar Biswas:
Unsupervised Domain Adaptation for Learning Eye Gaze from a Million Synthetic Images: An Adversarial Approach. CoRR abs/1810.07926 (2018) - [i5]Avisek Lahiri, Arnav Kumar Jain, Divyasri Nadendla, Prabir Kumar Biswas:
Improved Techniques for GAN based Facial Inpainting. CoRR abs/1810.08774 (2018) - 2017
- [c7]Avisek Lahiri, Kumar Ayush
Generative Adversarial Learning for Reducing Manual Annotation in Semantic Segmentation on Large Scale Miscroscopy Images: Automated Vessel Segmentation in Retinal Fundus Image as Test Case. CVPR Workshops 2017: 794-800 - [c6]Biswajit Paria, Avisek Lahiri, Prabir Kumar Biswas:
PolicyGAN: Training generative adversarial networks using policy gradient. ICAPR 2017: 1-6 - [i4]Avisek Lahiri, Arnav Kumar Jain, Prabir Kumar Biswas, Pabitra Mitra:
Improving Consistency and Correctness of Sequence Inpainting using Semantically Guided Generative Adversarial Network. CoRR abs/1711.06106 (2017) - 2016
- [c5]Avisek Lahiri, Abhijit Guha Roy, Debdoot Sheet, Prabir Kumar Biswas:
Deep neural ensemble for retinal vessel segmentation in fundus images towards achieving label-free angiography. EMBC 2016: 1340-1343 - [c4]Avisek Lahiri, Biswajit Paria, Prabir Kumar Biswas:
COMA-boost: co-operative multi agent AdaBoost. ICVGIP 2016: 43:1-43:8 - [i3]Avisek Lahiri, Sourya Roy, Anirban Santara, Pabitra Mitra, Prabir Kumar Biswas:
WEPSAM: Weakly Pre-Learnt Saliency Model. CoRR abs/1605.01101 (2016) - [i2]Avisek Lahiri, Biswajit Paria, Prabir Kumar Biswas:
Forward Stagewise Additive Model for Collaborative Multiview Boosting. CoRR abs/1608.01874 (2016) - [i1]Avisek Lahiri, Abhijit Guha Roy, Debdoot Sheet, Prabir Kumar Biswas:
Deep Neural Ensemble for Retinal Vessel Segmentation in Fundus Images towards Achieving Label-free Angiography. CoRR abs/1609.05871 (2016) - 2015
- [c3]Avisek Lahiri, Prabir Kumar Biswas:
A scalable model for knowledge sharing based supervised learning using AdaBoost. ICAPR 2015: 1-6 - 2014
- [c2]Avisek Lahiri, Prabir Kumar Biswas:
A New Framework for Multiclass Classification Using Multiview Assisted Adaptive Boosting. ACCV (3) 2014: 128-143 - [c1]Avisek Lahiri, Prabir K. Biswas:
Knowledge Sharing and Cooperation Based Adaptive Boosting for Robust Eye Detection. ICVGIP 2014: 13:1-13:8
Coauthor Index
aka: Prabir K. Biswas
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