Siddhartha Chandra

Publication Activity (10 Years)

Years Active: 2010-2022
Publications (10 Years): 17

Top Topics

Tumor Segmentation

Top Venues

BrainLes@MICCAI (2)

Publications

Rawal Khirodkar, Brandon Smith, Siddhartha Chandra, Amit Agrawal, Antonio Criminisi
Sequential Ensembling for Semantic Segmentation. CoRR (2022)
Maulik D. Majmudar, Siddhartha Chandra, Kiran Yakkala, Samantha Kennedy, Amit Agrawal, Mark Sippel, Prakash Ramu, Apoorv Chaudhri, Brooke Smith, Antonio Criminisi, Steven B. Heymsfield, Fatima Cody Stanford
Smartphone camera based assessment of adiposity: a validation study. npj Digit. Medicine 5 (2022)
Théo Estienne, Marvin Lerousseau, Maria Vakalopoulou, Emilie Alvarez Andres, Enzo Battistella, Alexandre Carré, Siddhartha Chandra, Stergios Christodoulidis, Mihir Sahasrabudhe, Roger Sun, Charlotte Robert, Hugues Talbot, Nikos Paragios, Eric Deutsch
Deep Learning-Based Concurrent Brain Registration and Tumor Segmentation. Frontiers Comput. Neurosci. 14 (2020)
Viveka Kulharia, Siddhartha Chandra, Amit Agrawal, Philip H. S. Torr, Ambrish Tyagi
Box2Seg: Attention Weighted Loss and Discriminative Feature Learning for Weakly Supervised Segmentation. ECCV (27) (2020)
Shashank Tripathi, Siddhartha Chandra, Amit Agrawal, Ambrish Tyagi, James M. Rehg, Visesh Chari
Learning to Generate Synthetic Data via Compositing. CoRR (2019)
Shashank Tripathi, Siddhartha Chandra, Amit Agrawal, Ambrish Tyagi, James M. Rehg, Visesh Chari
Learning to Generate Synthetic Data via Compositing. CVPR (2019)
Mihir Sahasrabudhe, Siddhartha Chandra
Proof of Correctness and Time Complexity Analysis of a Maximum Distance Transform Algorithm. CoRR (2019)
Siddhartha Chandra, Maria Vakalopoulou, Lucas Fidon, Enzo Battistella, Théo Estienne, Roger Sun, Charlotte Robert, Eric Deutsch, Nikos Paragios
Context Aware 3D CNNs for Brain Tumor Segmentation. BrainLes@MICCAI (2) (2018)
Siddhartha Chandra, Camille Couprie, Iasonas Kokkinos
Deep Spatio-Temporal Random Fields for Efficient Video Segmentation. CoRR (2018)
Spyridon Bakas, Mauricio Reyes, András Jakab, Stefan Bauer, Markus Rempfler, Alessandro Crimi, Russell Takeshi Shinohara, Christoph Berger, Sung Min Ha, Martin Rozycki, Marcel Prastawa, Esther Alberts, Jana Lipková, John B. Freymann, Justin S. Kirby, Michel Bilello, Hassan M. Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Benedikt Wiestler, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Marc-André Weber, Abhishek Mahajan, Ujjwal Baid, Dongjin Kwon, Manu Agarwal, Mahbubul Alam, Alberto Albiol, Antonio Albiol, Alex Varghese, Tran Anh Tuan, Tal Arbel, Aaron Avery, Pranjal B., Subhashis Banerjee, Thomas Batchelder, Kayhan N. Batmanghelich, Enzo Battistella, Martin Bendszus, Eze Benson, José Bernal, George Biros, Mariano Cabezas, Siddhartha Chandra, Yi-Ju Chang, et al.
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge. CoRR (2018)
Siddhartha Chandra, Camille Couprie, Iasonas Kokkinos
Deep Spatio-Temporal Random Fields for Efficient Video Segmentation. CVPR (2018)
Stefan Kinauer, Riza Alp Güler, Siddhartha Chandra, Iasonas Kokkinos
Structured Output Prediction and Learning for Deep Monocular 3D Human Pose Estimation. EMMCVPR (2017)
Siddhartha Chandra, Nicolas Usunier, Iasonas Kokkinos
Dense and Low-Rank Gaussian CRFs Using Deep Embeddings. ICCV (2017)
Siddhartha Chandra, Iasonas Kokkinos
Fast, Exact and Multi-Scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs. CoRR (2016)
Riza Alp Güler, Nikolaos Kardaris, Siddhartha Chandra, Vassilis Pitsikalis, Christian Werner, Klaus Hauer, Costas S. Tzafestas, Petros Maragos, Iasonas Kokkinos
Human Joint Angle Estimation and Gesture Recognition for Assistive Robotic Vision. ECCV Workshops (2) (2016)
Siddhartha Chandra, Iasonas Kokkinos
Fast, Exact and Multi-scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs. ECCV (7) (2016)
Siddhartha Chandra, Iasonas Kokkinos
Deep, Dense, and Low-Rank Gaussian Conditional Random Fields. CoRR (2016)
Siddhartha Chandra, Stavros Tsogkas, Iasonas Kokkinos
Accurate Human-Limb Segmentation in RGB-D Images for Intelligent Mobility Assistance Robots. ICCV Workshops (2015)
Siddhartha Chandra, Grigorios G. Chrysos, Iasonas Kokkinos
Surface Based Object Detection in RGBD Images. BMVC (2015)
Siddhartha Chandra, Shailesh Kumar, C. V. Jawahar
Learning Multiple Non-linear Sub-spaces Using K-RBMs. CVPR (2013)
Siddhartha Chandra, C. V. Jawahar
Partial Least Squares kernel for computing similarities between video sequences. ICPR (2012)
Siddhartha Chandra, Shailesh Kumar, C. V. Jawahar
Learning Hierarchical Bag of Words Using Naive Bayes Clustering. ACCV (1) (2012)
Vinay Garg, Siddhartha Chandra, C. V. Jawahar
Sparse discriminative Fisher vectors in visual classification. ICVGIP (2012)
Mayank Juneja, Siddhartha Chandra, Omkar M. Parkhi, C. V. Jawahar, Andrea Vedaldi, Marcin Marszalek, Andrew Zisserman
Oxford-IIIT TRECVID 2010 - Notebook paper. TRECVID (2010)