Amit Sethi

According to our database, Amit Sethi authored at least 112 papers between 2002 and 2024.

Collaborative distances:

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

2024

Joint Super-resolution and Tissue Patch Classification for Whole Slide Histological Images.

Zhongao Sun, Alexander V. Khvostikov, Andrey S. Krylov, Amit Sethi, Ilya Mikhailov, Pavel Malkov

Program. Comput. Softw., June, 2024

The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue.

Philippe Weitz, Masi Valkonen, Leslie Solorzano, Circe Carr, Kimmo Kartasalo, Constance Boissin, Sonja Koivukoski, Aino Kuusela, Dusan Rasic, Yanbo Feng, Sandra Kristiane Sinius Pouplier, Abhinav Sharma, Kajsa Ledesma Eriksson, Stephanie Robertson, Christian Marzahl, Chandler D. Gatenbee, Alexander R. A. Anderson, Marek Wodzinski, Artur Jurgas, Niccolò Marini, Manfredo Atzori, Henning Müller, Daniel Budelmann, Nick Weiss, Stefan Heldmann, Johannes Lotz, Jelmer M. Wolterink, Bruno De Santi, Abhijeet Patil, Amit Sethi, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Mahtab Farrokh, Neeraj Kumar, Russell Greiner, Leena Latonen, Anne-Vibeke Laenkholm, Johan Hartman, Pekka Ruusuvuori, Mattias Rantalainen

Medical Image Anal., 2024

Network Inversion for Training-Like Data Reconstruction.

Pirzada Suhail, Amit Sethi

CoRR, 2024

Cross-Domain Evaluation of Few-Shot Classification Models: Natural Images vs. Histopathological Images.

Ardhendu Sekhar, Aditya Bhattacharya, Vinayak Goyal, Vrinda Goel, Aditya Bhangale, Ravi Kant Gupta, Amit Sethi

CoRR, 2024

FedStein: Enhancing Multi-Domain Federated Learning Through James-Stein Estimator.

Sunny Gupta, Nikita Jangid, Amit Sethi

CoRR, 2024

Semantic Segmentation Based Quality Control of Histopathology Whole Slide Images.

Abhijeet Patil, Garima Jain, Harsh Diwakar, Jay Sawant, Tripti Bameta, Swapnil Rane, Amit Sethi

CoRR, 2024

Normalizing Flow-Based Metric for Image Generation.

Pranav Jeevan, Neeraj Nixon, Amit Sethi

CoRR, 2024

Efficient Quality Control of Whole Slide Pathology Images with Human-in-the-loop Training.

Abhijeet Patil, Harsh Diwakar, Jay Sawant, Nikhil Cherian Kurian, Subhash Yadav, Swapnil Rane, Tripti Bameta, Amit Sethi

CoRR, 2024

FLeNS: Federated Learning with Enhanced Nesterov-Newton Sketch.

Sunny Gupta, Mohit Jindal, Pankhi Kashyap, Pranav Jeevan, Amit Sethi

CoRR, 2024

EDSNet: Efficient-DSNet for Video Summarization.

Ashish Prasad, Pranav Jeevan, Amit Sethi

CoRR, 2024

WaveMixSR-V2: Enhancing Super-resolution with Higher Efficiency.

Pranav Jeevan, Neeraj Nixon, Amit Sethi

CoRR, 2024

HER2 and FISH Status Prediction in Breast Biopsy H&E-Stained Images Using Deep Learning.

Ardhendu Sekhar, Vrinda Goel, Garima Jain, Abhijeet Patil, Ravi Kant Gupta, Amit Sethi

CoRR, 2024

Network Inversion of Convolutional Neural Nets.

Pirzada Suhail, Amit Sethi

CoRR, 2024

Which Backbone to Use: A Resource-efficient Domain Specific Comparison for Computer Vision.

Pranav Jeevan, Amit Sethi

CoRR, 2024

Advancing Gene Selection in Oncology: A Fusion of Deep Learning and Sparsity for Precision Gene Selection.

Akhila Krishna K, Ravi Kant Gupta, Pranav Jeevan, Amit Sethi

CoRR, 2024

Network Inversion of Binarised Neural Nets.

Pirzada Suhail, Supratik Chakraborty, Amit Sethi

CoRR, 2024

Reverse Knowledge Distillation: Training a Large Model using a Small One for Retinal Image Matching on Limited Data.

Sahar Almahfouz Nasser, Nihar Gupte, Amit Sethi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

WaveMixSR: Resource-efficient Neural Network for Image Super-resolution.

Pranav Jeevan, Akella Srinidhi, Pasunuri Prathiba, Amit Sethi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Adversarial Transport Terms for Unsupervised Domain Adaptation.

Chirag P, Mukta Wagle, Ravi Kant Gupta, Pranav Jeevan, Amit Sethi

Proceedings of the Pattern Recognition - 27th International Conference, 2024

IDAL: Improved Domain Adaptive Learning for Natural Images Dataset.

Ravi Kant Gupta, Shounak Das, Amit Sethi

Proceedings of the Pattern Recognition - 27th International Conference, 2024

IFSENet: Harnessing Sparse Iterations for Interactive Few-Shot Segmentation Excellence.

Shreyas Chandgothia, Ardhendu Sekhar, Amit Sethi

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Few-Shot Histopathology Image Classification: Evaluating State-of-the-Art Methods and Unveiling Performance Insights.

Ardhendu Sekhar, Ravi Kant Gupta, Amit Sethi

Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024

Combining Datasets with Different Label Sets for Improved Nucleus Segmentation and Classification.

Amruta Parulekar, Utkarsh Kanwat, Ravi Kant Gupta, Medha Chippa, Thomas Jacob, Tripti Bameta, Swapnil Rane, Amit Sethi

Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024

Utilizing Radiomic Features for Automated MRI Keypoint Detection: Enhancing Graph Applications.

Sahar Almahfouz Nasser, Shashwat Pathak, Keshav Singhal, Mohit Meena, Nihar Gupte, Ananya Chinmaya, Prateek Garg, Amit Sethi

Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024

Magnification Invariant Medical Image Analysis: A Comparison of Convolutional Networks, Vision Transformers, and Token Mixers.

Pranav Jeevan, Nikhil Cherian Kurian, Amit Sethi

Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024

Unsupervised Domain Adaptation for Medical Images with an Improved Combination of Losses.

Ravi Kant Gupta, Shounak Das, Amit Sethi

Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024

2023

Utilizing Radiomic Feature Analysis For Automated MRI Keypoint Detection: Enhancing Graph Applications.

Sahar Almahfouz Nasser, Shashwat Pathak, Keshav Singhal, Mohit Meena, Nihar Gupte, Ananya Chinmaya, Prateek Garg, Amit Sethi

CoRR, 2023

Domain-Adaptive Learning: Unsupervised Adaptation for Histology Images with Improved Loss Function Combination.

Ravi Kant Gupta, Shounak Das, Amit Sethi

CoRR, 2023

Transforming Breast Cancer Diagnosis: Towards Real-Time Ultrasound to Mammogram Conversion for Cost-Effective Diagnosis.

Sahar Almahfouz Nasser, Ashutosh Sharma, Anmol Saraf, Amruta Mahendra Parulekar, Purvi Haria, Amit Sethi

CoRR, 2023

Heterogeneous graphs model spatial relationships between biological entities for breast cancer diagnosis.

Akhila Krishna K, Ravi Kant Gupta, Nikhil Cherian Kurian, Pranav Jeevan, Amit Sethi

CoRR, 2023

WavePaint: Resource-efficient Token-mixer for Self-supervised Inpainting.

Pranav Jeevan, Dharshan Sampath Kumar, Amit Sethi

CoRR, 2023

CHATTY: Coupled Holistic Adversarial Transport Terms with Yield for Unsupervised Domain Adaptation.

Chirag P, Mukta Wagle, Ravi Kant Gupta, Pranav Jeevan, Amit Sethi

CoRR, 2023

Heterogeneous Graphs Model Spatial Relationship Between Biological Entities for Breast Cancer Diagnosis.

Akhila Krishna K, Ravi Kant Gupta, Nikhil Cherian Kurian, Pranav Jeevan, Amit Sethi

Proceedings of the Graphs in Biomedical Image Analysis, and Overlapped Cell on Tissue Dataset for Histopathology, 2023

Resource-efficient image inpainting.

Dharshan Sampath Kumar, Pranav Jeevan, Amit Sethi

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Simulating Ultrasound Images from CT Scans.

Sahar Almahfouz Nasser, Amit Sethi

Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

EGFR Mutation Prediction of Lung Biopsy Images Using Deep Learning.

Ravi Kant Gupta, Shivani Nandgaonkar, Nikhil Cherian Kurian, Tripti Bameta, Subhash Yadav, Rajiv Kumar Kaushal, Swapnil Rane, Amit Sethi

Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

Improving Mitosis Detection via UNet-Based Adversarial Domain Homogenizer.

Tirupati Saketh Chandra, Sahar Almahfouz Nasser, Nikhil Cherian Kurian, Amit Sethi

Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

Robust Semi-Supervised Learning for Histopathology Images Through Self-Supervision Guided Out-of-Distribution Scoring.

Nikhil Cherian Kurian, S. Varsha, Abhijit Patil, Shashikant Khade, Amit Sethi

Proceedings of the 23rd IEEE International Conference on Bioinformatics and Bioengineering, 2023

2022

Author's Reply to "MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge".

Ruchika Verma, Neeraj Kumar, Abhijeet Patil, Nikhil Cherian Kurian, Swapnil Rane, Amit Sethi

IEEE Trans. Medical Imaging, 2022

Appraisal of Resistivity Inversion Models With Convolutional Variational Encoder-Decoder Network.

Bibin Wilson, Anand Singh, Amit Sethi

IEEE Trans. Geosci. Remote. Sens., 2022

Artificial Intelligence-based Eosinophil Counting in Gastrointestinal Biopsies.

Harsh Shah, Thomas Jacob, Amruta Parulekar, Anjali Amarapurkar, Amit Sethi

CoRR, 2022

Deriving Surface Resistivity from Polarimetric SAR Data Using Dual-Input UNet.

Bibin Wilson, Rajiv Kumar, Narayanarao Bhogapurapu, Anand Singh, Amit Sethi

CoRR, 2022

WaveMix-Lite: A Resource-efficient Neural Network for Image Analysis.

Pranav Jeevan, Kavitha Viswanathan, Amit Sethi

CoRR, 2022

Deep Multi-Scale U-Net Architecture and Noise-Robust Training Strategies for Histopathological Image Segmentation.

Nikhil Cherian Kurian, Amit Lohan, Gregory Verghese, Nimish Dharamshi, Swati Meena, Mengyuan Li, Fangfang Liu, Cheryl Gillet, Swapnil Rane, Anita Grigoriadis, Amit Sethi

CoRR, 2022

WaveMix: Resource-efficient Token Mixing for Images.

Pranav Jeevan, Amit Sethi

CoRR, 2022

Convolutional Xformers for Vision.

Pranav Jeevan, Amit Sethi

CoRR, 2022

Resource-efficient Hybrid X-formers for Vision.

Pranav Jeevan, Amit Sethi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Improved Histology Image Classification under Label Noise Via Feature Aggregating Memory Banks.

Nikhil Cherian Kurian, S. Varsha, Akshay Bajpai, Sunil Patel, Amit Sethi

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Shallow Water Bathymetry Survey Using an Autonomous Surface Vehicle.

Bibin Wilson, Anand Singh, Amit Sethi

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Perceptual cGAN for MRI Super-resolution.

Sahar Almahfouz Nasser, Saqib Shamsi, Valay Bundele, Bhavesh Garg, Amit Sethi

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

WSSAMNet: Weakly Supervised Semantic Attentive Medical Image Registration Network.

Sahar Almahfouz Nasser, Nikhil Cherian Kurian, Mohit Meena, Saqib Shamsi, Amit Sethi

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

Deep Multi-Scale U-Net Architecture and Label-Noise Robust Training Strategies for Histopathological Image Segmentation.

Nikhil Cherian Kurian, Amit Lehan, Gregory Verghese, Nimish Dharamshi, Swati Meena, Mengyuan Li, Fangfang Liu, Cheryl Gillet, Swapnil Rane, Anita Grigoriadis, Amit Sethi

Proceedings of the 22nd IEEE International Conference on Bioinformatics and Bioengineering, 2022

2021

A 2021 update on cancer image analytics with deep learning.

Nikhil Cherian Kurian, Amit Sethi, Anil Reddy Konduru, Abhishek Mahajan, Swapnil Ulhas Rane

WIREs Data Mining Knowl. Discov., 2021

MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge.

Ruchika Verma, Neeraj Kumar, Abhijeet Patil, Nikhil Cherian Kurian, Swapnil Rane, Simon Graham, Quoc Dang Vu, Mieke Zwager, Shan-E-Ahmed Raza, Nasir M. Rajpoot, Xiyi Wu, Huai Chen, Yijie Huang, Lisheng Wang, Hyun Jung, G. Thomas Brown, Yanling Liu, Shuolin Liu, Seyed Alireza Fatemi Jahromi, Ali Asghar Khani, Ehsan Montahaei, Mahdieh Soleymani Baghshah, Hamid Behroozi, Pavel Semkin, Alexandr Rassadin, Prasad Dutande, Romil Lodaya, Ujjwal Baid, Bhakti Baheti, Sanjay N. Talbar, Amirreza Mahbod, Rupert Ecker, Isabella Ellinger, Zhipeng Luo, Bin Dong, Zhengyu Xu, Yuehan Yao, Shuai Lv, Ming Feng, Kele Xu, Hasib Zunair, Abdessamad Ben Hamza, Steven M. Smiley, Tang-Kai Yin, Qi-Rui Fang, Shikhar Srivastava, Dwarikanath Mahapatra, Lubomira Trnavska, Hanyun Zhang, Priya Lakshmi Narayanan, Justin Law, Yinyin Yuan, Abhiroop Tejomay, Aditya Mitkari, Dinesh Koka, Vikas Ramachandra, Lata Kini, Amit Sethi

IEEE Trans. Medical Imaging, 2021

Memory Efficient Adaptive Attention For Multiple Domain Learning.

Himanshu Pradeep Aswani, Abhiraj Sunil Kanse, Shubhang Bhatnagar, Amit Sethi

CoRR, 2021

Vision Xformers: Efficient Attention for Image Classification.

Pranav Jeevan, Amit Sethi

CoRR, 2021

Domain Generalisation for Mitosis Detection Exploting Preprocessing Homogenizers.

Sahar Almahfouz Nasser, Nikhil Cherian Kurian, Amit Sethi

Proceedings of the Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis - MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021

Fast, Self Supervised, Fully Convolutional Color Normalization Of H&E Stained Images.

Abhijeet Patil, Mohd. Talha, Aniket Bhatia, Nikhil Cherian Kurian, Sammed Mangale, Sunil Patel, Amit Sethi

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Sample Specific Generalized Cross Entropy for Robust Histology Image Classification.

Nikhil Cherian Kurian, Pragati Shuddhodhan Meshram, Abhijeet Patil, Sunil Patel, Amit Sethi

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Robust Classification of Histology Images Exploiting Adversarial Auto Encoders.

Nikhil Cherian Kurian, Gurparkash Singh, Poorvi Hebbar, Shreekanya Kodate, Swapnil Rane, Amit Sethi

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

PAL : Pretext-based Active Learning.

Shubhang Bhatnagar, Sachin Goyal, Darshan Tank, Amit Sethi

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

A Multi-Organ Nucleus Segmentation Challenge.

Neeraj Kumar, Ruchika Verma, Deepak Anand, Yanning Zhou, Omer Fahri Onder, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng, Jiahui Li, Zhiqiang Hu, Yunzhi Wang, Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajeddin, Ali Gooya, Nasir M. Rajpoot, Xuhua Ren, Sihang Zhou, Qian Wang, Dinggang Shen, Cheng-Kun Yang, Chi-Hung Weng, Wei-Hsiang Yu, Chao-Yuan Yeh, Shuang Yang, Shuoyu Xu, Pak-Hei Yeung, Peng Sun, Amirreza Mahbod, Gerald Schaefer, Isabella Ellinger, Rupert Ecker, Örjan Smedby, Chunliang Wang, Benjamin Chidester, That-Vinh Ton, Minh-Triet Tran, Jian Ma, Minh N. Do, Simon Graham, Quoc Dang Vu, Jin Tae Kwak, Akshaykumar Gunda, Raviteja Chunduri, Corey Hu, Xiaoyang Zhou, Dariush Lotfi, Reza Safdari, Antanas Kascenas, Alison O'Neil, Dennis Eschweiler, Johannes Stegmaier, Yanping Cui, Baocai Yin, Kailin Chen, Xinmei Tian, Philipp Grüning, Erhardt Barth, Elad Arbel, Itay Remer, Amir Ben-Dor, Ekaterina Sirazitdinova, Matthias Kohl, Stefan Braunewell, Yuexiang Li, Xinpeng Xie, Linlin Shen, Jun Ma, Krishanu Das Baksi, Mohammad Azam Khan, Jaegul Choo, Adrián Colomer, Valery Naranjo, Linmin Pei, Khan M. Iftekharuddin, Kaushiki Roy, Debotosh Bhattacharjee, Aníbal Pedraza, Maria Gloria Bueno, Sabarinathan Devanathan, Saravanan Radhakrishnan, Praveen Koduganty, Zihan Wu, Guanyu Cai, Xiaojie Liu, Yuqin Wang, Amit Sethi

IEEE Trans. Medical Imaging, 2020

Activation Functions: Do They Represent A Trade-Off Between Modular Nature of Neural Networks And Task Performance.

Himanshu Pradeep Aswani, Amit Sethi

CoRR, 2020

Switching Loss for Generalized Nucleus Detection in Histopathology.

Deepak Anand, Gaurav Patel, Yaman Dang, Amit Sethi

CoRR, 2020

Functional Space Variational Inference for Uncertainty Estimation in Computer Aided Diagnosis.

Pranav Poduval, Hrushikesh Loya, Amit Sethi

CoRR, 2020

Image-based phenotyping of diverse Rice (Oryza Sativa L.) Genotypes.

Mukesh Kumar Vishal, Dipesh Tamboli, Abhijeet Patil, Rohit Saluja, Biplab Banerjee, Amit Sethi, Raju Dhandapani, Sudhir Kumar, Rabi Narayan Sahoo, Viswanathan Chinnusamy, J. Adinarayana

CoRR, 2020

Uncertainty Estimation in Cancer Survival Prediction.

Hrushikesh Loya, Pranav Poduval, Deepak Anand, Neeraj Kumar, Amit Sethi

CoRR, 2020

Breast Cancer Histopathology Image Classification and Localization using Multiple Instance Learning.

Abhijeet Patil, Dipesh Tamboli, Swati Meena, Deepak Anand, Amit Sethi

CoRR, 2020

Histographs: graphs in histopathology.

Deepak Anand, Shrey Gadiya, Amit Sethi

Proceedings of the Medical Imaging 2020: Digital Pathology, 2020

Self-Supervision vs. Transfer Learning: Robust Biomedical Image Analysis Against Adversarial Attacks.

Deepak Anand, Darshan Tank, Harshvardhan Tibrewal, Amit Sethi

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Satellite-Derived Bathymetry Using Deep Convolutional Neural Network.

Bibin Wilson, Nikhil Cherian Kurian, Anand Singh, Amit Sethi

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Visualization for Histopathology Images using Graph Convolutional Neural Networks.

Mookund Sureka, Abhijeet Patil, Deepak Anand, Amit Sethi

Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

2019

A Learnable Distortion Correction Module for Modulation Recognition.

Kumar Yashashwi, Amit Sethi, Prasanna Chaporkar

IEEE Wirel. Commun. Lett., 2019

Hyperspectral Tissue Image Segmentation Using Semi-Supervised NMF and Hierarchical Clustering.

Neeraj Kumar, Phani Krishna Uppala, Karthik Duddu, Hari Sreedhar, Vishal K. Varma, Grace Guzman, Michael J. Walsh, Amit Sethi

IEEE Trans. Medical Imaging, 2019

EEG-based functional connectivity to analyze motor recovery after stroke: A pilot study.

Safaa Eldeeb, Murat Akçakaya, Matthew Sybeldon, Stephen T. Foldes, Emiliano Santarnecchi, Alvaro Pascual-Leone, Amit Sethi

Biomed. Signal Process. Control., 2019

Improving Histopathology Classification using Learnable Preprocessing.

Viraf Patrawala, Nikhil Cherian Kurian, Amit Sethi

Proceedings of the TENCON 2019, 2019

Pixel-wise Segmentation of Right Ventricle of Heart.

Yaman Dang, Deepak Anand, Amit Sethi

Proceedings of the TENCON 2019, 2019

Fast GPU-Enabled Color Normalization for Digital Pathology.

Deepak Anand, Goutham Ramakrishnan, Amit Sethi

Proceedings of the International Conference on Systems, Signals and Image Processing, 2019

2018

Super Resolution by Comprehensively Exploiting Dependencies of Wavelet Coefficients.

Neeraj Kumar, Amit Sethi

IEEE Trans. Multim., 2018

Some New Layer Architectures for Graph CNN.

Shrey Gadiya, Deepak Anand, Amit Sethi

CoRR, 2018

Classification of Breast Cancer Histology Using Deep Learning.

Aditya Golatkar, Deepak Anand, Amit Sethi

Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018

2017

A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology.

Neeraj Kumar, Ruchika Verma, Sanuj Sharma, Surabhi Bhargava, Abhishek Vahadane, Amit Sethi

IEEE Trans. Medical Imaging, 2017

Convolutional neural networks for wavelet domain super resolution.

Neeraj Kumar, Ruchika Verma, Amit Sethi

Pattern Recognit. Lett., 2017

Color normalization of histology slides using graph regularized sparse NMF.

Lingdao Sha, Dan Schonfeld, Amit Sethi

Proceedings of the Medical Imaging 2017: Digital Pathology, 2017

Convolutional neural networks for prostate cancer recurrence prediction.

Neeraj Kumar, Ruchika Verma, Ashish Arora, Abhay Kumar, Sanchit Gupta, Amit Sethi, Peter H. Gann

Proceedings of the Medical Imaging 2017: Digital Pathology, 2017

Action recognition using spatio-temporal differential motion.

Gaurav Kumar Yadav, Amit Sethi

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Abnormal Event Detection on BMTT-PETS 2017 Surveillance Challenge.

Kothapalli Vignesh, Gaurav Kumar Yadav, Amit Sethi

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

2016

Fast Learning-Based Single Image Super-Resolution.

Neeraj Kumar, Amit Sethi

IEEE Trans. Multim., 2016

Structure-Preserving Color Normalization and Sparse Stain Separation for Histological Images.

Abhishek Vahadane, Tingying Peng, Amit Sethi, Shadi Albarqouni, Lichao Wang, Maximilian Baust, Katja Steiger, Anna Melissa Schlitter, Irene Esposito, Nassir Navab

IEEE Trans. Medical Imaging, 2016

Learning based super-resolution of histological images.

Abhishek Vahadane, Neeraj Kumar, Amit Sethi

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Detecting multiple sub-types of breast cancer in a single patient.

Ruchika Verma, Neeraj Kumar, Amit Sethi, Peter H. Gann

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Action recognition using interest points capturing differential motion information.

Gaurav Kumar Yadav, Prakhar Shukla, Amit Sethi

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Deep Learning-Based Image Kernel for Inductive Transfer.

Neeraj Kumar, Ranti Dev Sharma, Animesh Karmakar, Amit Sethi

CoRR, 2015

Structure-preserved color normalization for histological images.

Abhishek Vahadane, Tingying Peng, Shadi Albarqouni, Maximilian Baust, Katja Steiger, Anna Melissa Schlitter, Amit Sethi, Irene Esposito, Nassir Navab

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

On spatial neighborhood of patch-based super resolution.

Neeraj Kumar, Amit Sethi

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014

A Flow-based Interest Point Detector for Action Recognition in Videos.

Gaurav Kumar Yadav, Amit Sethi

Proceedings of the 2014 Indian Conference on Computer Vision, 2014

Interest Point Detection in Videos Using Long Point Trajectories.

Rahul Nallamothu, T. Vineeth, Gaurav Kumar Yadav, Amit Sethi, Tony Jacob

Proceedings of the 2014 Indian Conference on Computer Vision, 2014

2013

Maximum independent sets of the 120-cell and other regular polytopes.

Sean Debroni, Erin Delisle, Wendy J. Myrvold, Amit Sethi, Joseph Whitney, Jennifer Woodcock, Patrick W. Fowler, Benoit de La Vaissière, Michel Deza

Ars Math. Contemp., 2013

Unsupervised learning approach for abnormal event detection in surveillance video by revealing infrequent patterns.

Tushar Sandhan, Amit Sethi, Tushar Srivastava, Jin Young Choi

Proceedings of the 28th International Conference on Image and Vision Computing New Zealand, 2013

Towards generalized nuclear segmentation in histological images.

Abhishek Vahadane, Amit Sethi

Proceedings of the 13th IEEE International Conference on BioInformatics and BioEngineering, 2013

Sports Video Classification from Multimodal Information Using Deep Neural Networks.

Devendra Singh Sachan, Umesh Tekwani, Amit Sethi

Proceedings of the 2013 AAAI Fall Symposia, Arlington, Virginia, USA, November 15-17, 2013, 2013

2012

Learning to predict super resolution wavelet coefficients.

Neeraj Kumar, Naveen Kumar Rai, Amit Sethi

Proceedings of the 21st International Conference on Pattern Recognition, 2012

An Efficient Neural Network Based Background Subtraction Method.

Naveen Kumar Rai, Shikha Chourasia, Amit Sethi

Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012), 2012

2007

Event Detection Using "Variable Module Graphs" for Home Care Applications.

Amit Sethi, Mandar Rahurkar, Thomas S. Huang

EURASIP J. Adv. Signal Process., 2007

2006

Interaction Between Modules in Learning Systems for Vision Applications

Amit Sethi

PhD thesis, 2006

Robust Structure and Motion from Outlines of Smooth Curved Surfaces.

Yasutaka Furukawa, Amit Sethi, Jean Ponce, David J. Kriegman

IEEE Trans. Pattern Anal. Mach. Intell., 2006

2005

Variable module graphs: a framework for inference and learning in modular vision systems.

Amit Sethi, Mandar Rahurkar, Thomas S. Huang

Proceedings of the 2005 International Conference on Image Processing, 2005

2004

Curve and Surface Duals and the Recognition of Curved 3D Objects from their Silhouettes.

Amit Sethi, David Renaudie, David J. Kriegman, Jean Ponce

Int. J. Comput. Vis., 2004

Key Recovery Method for CRT Implementation of RSA.

Matthew J. Campagna, Amit Sethi

IACR Cryptol. ePrint Arch., 2004

A detection-based multiple object tracking method.

Mei Han, Amit Sethi, Wei Hua, Yihong Gong

Proceedings of the 2004 International Conference on Image Processing, 2004

Structure and Motion from Images of Smooth Textureless Objects.

Yasutaka Furukawa, Amit Sethi, Jean Ponce, David J. Kriegman

Proceedings of the Computer Vision, 2004

2002

On Pencils of Tangent Planes and the Recognition of Smooth 3D Shapes from Silhouettes.

Svetlana Lazebnik, Amit Sethi, Cordelia Schmid, David J. Kriegman, Jean Ponce, Martial Hebert

Proceedings of the Computer Vision, 2002