Avisek Lahiri

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 27

Top Topics

Vessel Segmentation

Knowledge Sharing

Top Venues

Publications

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)
Avisek Lahiri, Junjie Ke, Daniel Vlasic, Xinwei Yao, Tianli Yu, Feng Yang
Identifying Document Images with Glare Using Global and Localized Feature Fusion. ICIP (2022)
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)
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 (2021)
Avisek Lahiri, Sourav Bairagya, Sutanu Bera, Siddhant Haldar, Prabir Kumar Biswas
Lightweight Modules for Efficient Deep Learning Based Image Restoration. IEEE Trans. Circuits Syst. Video Technol. 31 (4) (2021)
Avisek Lahiri, Arnav Kumar Jain, Sanskar Agrawal, Pabitra Mitra, Prabir Kumar Biswas
Prior Guided GAN Based Semantic Inpainting. CVPR (2020)
Avisek Lahiri, Vineet Jain, Arnab Mondal, Prabir Kumar Biswas
Retinal Vessel Segmentation Under Extreme Low Annotation: A Gan Based Semi-Supervised Approach. ICIP (2020)
Avisek Lahiri, Sourav Bairagya, Sutanu Bera, Siddhant Haldar, Prabir Kumar Biswas
Lightweight Modules for Efficient Deep Learning based Image Restoration. CoRR (2020)
Avisek Lahiri, Arnav Kumar Jain, Divyasri Nadendla, Prabir Kumar Biswas
Faster Unsupervised Semantic Inpainting: A GAN Based Approach. CoRR (2019)
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 (2019)
Avisek Lahiri, Arnav Kumar Jain, Divyasri Nadendla, Prabir Kumar Biswas
Faster Unsupervised Semantic Inpainting: A GAN Based Approach. ICIP (2019)
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)
Avisek Lahiri, Vineet Jain, Arnab Mondal, Prabir Kumar Biswas
Retinal Vessel Segmentation under Extreme Low Annotation: A Generative Adversarial Network Approach. CoRR (2018)
Avisek Lahiri, Abhinav Agarwalla, Prabir Kumar Biswas
Unsupervised Domain Adaptation for Learning Eye Gaze from a Million Synthetic Images: An Adversarial Approach. CoRR (2018)
Avisek Lahiri, Abhinav Agarwalla, Prabir Kumar Biswas
Unsupervised Domain Adaptation for Learning Eye Gaze from a Million Synthetic Images: An Adversarial Approach. ICVGIP (2018)
Avisek Lahiri, Arnav Kumar Jain, Divyasri Nadendla, Prabir Kumar Biswas
Improved Techniques for GAN based Facial Inpainting. CoRR (2018)
Avisek Lahiri, Charan Reddy, Prabir Kumar Biswas
Unsupervised Adversarial Visual Level Domain Adaptation for Learning Video Object Detectors from Images. CoRR (2018)
Avisek Lahiri, Biswajit Paria, Prabir Kumar Biswas
Forward Stagewise Additive Model for Collaborative Multiview Boosting. IEEE Trans. Neural Networks Learn. Syst. 29 (2) (2018)
Biswajit Paria, Avisek Lahiri, Prabir Kumar Biswas
PolicyGAN: Training generative adversarial networks using policy gradient. ICAPR (2017)
Avisek Lahiri, Kumar Ayush, Prabir Kumar Biswas, Pabitra Mitra
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)
Avisek Lahiri, Arnav Kumar Jain, Prabir Kumar Biswas, Pabitra Mitra
Improving Consistency and Correctness of Sequence Inpainting using Semantically Guided Generative Adversarial Network. CoRR (2017)
Avisek Lahiri, Biswajit Paria, Prabir Kumar Biswas
Forward Stagewise Additive Model for Collaborative Multiview Boosting. CoRR (2016)
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)
Avisek Lahiri, Sourya Roy, Anirban Santara, Pabitra Mitra, Prabir Kumar Biswas
WEPSAM: Weakly Pre-Learnt Saliency Model. CoRR (2016)
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 (2016)
Avisek Lahiri, Biswajit Paria, Prabir Kumar Biswas
COMA-boost: co-operative multi agent AdaBoost. ICVGIP (2016)
Avisek Lahiri, Prabir Kumar Biswas
A scalable model for knowledge sharing based supervised learning using AdaBoost. ICAPR (2015)
Avisek Lahiri, Prabir K. Biswas
Knowledge Sharing and Cooperation Based Adaptive Boosting for Robust Eye Detection. ICVGIP (2014)
Avisek Lahiri, Prabir Kumar Biswas
A New Framework for Multiclass Classification Using Multiview Assisted Adaptive Boosting. ACCV (3) (2014)