Avisek Lahiri

According to our database, Avisek Lahiri authored at least 23 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Directed Diffusion: Direct Control of Object Placement through Attention Guidance.

Wan-Duo Kurt Ma, Avisek Lahiri, John P. Lewis, Thomas Leung, W. Bastiaan Kleijn

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2022

Identifying Document Images with Glare Using Global and Localized Feature Fusion.

Avisek Lahiri, Junjie Ke, Daniel Vlasic, Xinwei Yao, Tianli Yu, Feng Yang

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

Lightweight Modules for Efficient Deep Learning Based Image Restoration.

Avisek Lahiri, Sourav Bairagya, Sutanu Bera, Siddhant Haldar, Prabir Kumar Biswas

IEEE Trans. Circuits Syst. Video Technol., 2021

LipSync3D: Data-Efficient Learning of Personalized 3D Talking Faces From Video Using Pose and Lighting Normalization.

Avisek Lahiri, Vivek Kwatra, Christian Früh, John Lewis, Chris Bregler

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Retinal Vessel Segmentation Under Extreme Low Annotation: A Gan Based Semi-Supervised Approach.

Avisek Lahiri, Vineet Jain, Arnab Mondal, Prabir Kumar Biswas

Proceedings of the IEEE International Conference on Image Processing, 2020

Prior Guided GAN Based Semantic Inpainting.

Avisek Lahiri, Arnav Kumar Jain, Sanskar Agrawal, Pabitra Mitra, Prabir Kumar Biswas

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

The Angel is in the Priors: Improving GAN based Image and Sequence Inpainting with Better Noise and Structural Priors.

Avisek Lahiri, Arnav Kumar Jain, Prabir Kumar Biswas

CoRR, 2019

Unsupervised Adversarial Visual Level Domain Adaptation for Learning Video Object Detectors From Images.

Avisek Lahiri, Sri Charan Ragireddy, Prabir Kumar Biswas, Pabitra Mitra

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Faster Unsupervised Semantic Inpainting: A GAN Based Approach.

Avisek Lahiri, Arnav Kumar Jain, Divyasri Nadendla, Prabir Kumar Biswas

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

Forward Stagewise Additive Model for Collaborative Multiview Boosting.

Avisek Lahiri, Biswajit Paria, Prabir Kumar Biswas

IEEE Trans. Neural Networks Learn. Syst., 2018

Improved Techniques for GAN based Facial Inpainting.

Avisek Lahiri, Arnav Kumar Jain, Divyasri Nadendla, Prabir Kumar Biswas

CoRR, 2018

Unsupervised Adversarial Visual Level Domain Adaptation for Learning Video Object Detectors from Images.

Avisek Lahiri, Charan Reddy, Prabir Kumar Biswas

CoRR, 2018

Retinal Vessel Segmentation under Extreme Low Annotation: A Generative Adversarial Network Approach.

Avisek Lahiri, Vineet Jain, Arnab Mondal, Prabir Kumar Biswas

CoRR, 2018

Unsupervised Domain Adaptation for Learning Eye Gaze from a Million Synthetic Images: An Adversarial Approach.

Avisek Lahiri, Abhinav Agarwalla, Prabir Kumar Biswas

Proceedings of the ICVGIP 2018: 11th Indian Conference on Computer Vision, 2018

2017

Improving Consistency and Correctness of Sequence Inpainting using Semantically Guided Generative Adversarial Network.

Avisek Lahiri, Arnav Kumar Jain, Prabir Kumar Biswas, Pabitra Mitra

CoRR, 2017

PolicyGAN: Training generative adversarial networks using policy gradient.

Biswajit Paria, Avisek Lahiri, Prabir Kumar Biswas

Proceedings of the Ninth International Conference on Advances in Pattern Recognition, 2017

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.

Avisek Lahiri, Kumar Ayush, Prabir Kumar Biswas, Pabitra Mitra

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016

WEPSAM: Weakly Pre-Learnt Saliency Model.

Avisek Lahiri, Sourya Roy, Anirban Santara, Pabitra Mitra, Prabir Kumar Biswas

CoRR, 2016

COMA-boost: co-operative multi agent AdaBoost.

Avisek Lahiri, Biswajit Paria, Prabir Kumar Biswas

Proceedings of the Tenth Indian Conference on Computer Vision, 2016

Deep neural ensemble for retinal vessel segmentation in fundus images towards achieving label-free angiography.

Avisek Lahiri, Abhijit Guha Roy, Debdoot Sheet, Prabir Kumar Biswas

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015

A scalable model for knowledge sharing based supervised learning using AdaBoost.

Avisek Lahiri, Prabir Kumar Biswas

Proceedings of the Eighth International Conference on Advances in Pattern Recognition, 2015

2014

Knowledge Sharing and Cooperation Based Adaptive Boosting for Robust Eye Detection.

Avisek Lahiri, Prabir K. Biswas

Proceedings of the 2014 Indian Conference on Computer Vision, 2014

A New Framework for Multiclass Classification Using Multiview Assisted Adaptive Boosting.

Avisek Lahiri, Prabir Kumar Biswas

Proceedings of the Computer Vision - ACCV 2014, 2014