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Siddhartha Chandra
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2020 – today
- 2022
- [j2]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) - [i7]Rawal Khirodkar, Brandon M. Smith, Siddhartha Chandra, Amit Agrawal, Antonio Criminisi:
Sequential Ensembling for Semantic Segmentation. CoRR abs/2210.05387 (2022) - 2020
- [j1]Théo Estienne, Marvin Lerousseau, Maria Vakalopoulou, Emilie Alvarez Andres, Enzo Battistella, Alexandre Carré, Siddhartha Chandra, Stergios Christodoulidis
Deep Learning-Based Concurrent Brain Registration and Tumor Segmentation. Frontiers Comput. Neurosci. 14: 17 (2020) - [c15]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: 290-308
2010 – 2019
- 2019
- [c14]Shashank Tripathi, Siddhartha Chandra, Amit Agrawal, Ambrish Tyagi, James M. Rehg, Visesh Chari:
Learning to Generate Synthetic Data via Compositing. CVPR 2019: 461-470 - [i6]Shashank Tripathi, Siddhartha Chandra, Amit Agrawal, Ambrish Tyagi, James M. Rehg, Visesh Chari:
Learning to Generate Synthetic Data via Compositing. CoRR abs/1904.05475 (2019) - [i5]Mihir Sahasrabudhe, Siddhartha Chandra:
Proof of Correctness and Time Complexity Analysis of a Maximum Distance Transform Algorithm. CoRR abs/1908.01662 (2019) - 2018
- [c13]Siddhartha Chandra, Camille Couprie, Iasonas Kokkinos:
Deep Spatio-Temporal Random Fields for Efficient Video Segmentation. CVPR 2018: 8915-8924 - [c12]Siddhartha Chandra, Maria Vakalopoulou, Lucas Fidon, Enzo Battistella
Context Aware 3D CNNs for Brain Tumor Segmentation. BrainLes@MICCAI (2) 2018: 299-310 - [i4]Siddhartha Chandra, Camille Couprie, Iasonas Kokkinos:
Deep Spatio-Temporal Random Fields for Efficient Video Segmentation. CoRR abs/1807.03148 (2018) - [i3]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
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge. CoRR abs/1811.02629 (2018) - 2017
- [c11]Stefan Kinauer
Structured Output Prediction and Learning for Deep Monocular 3D Human Pose Estimation. EMMCVPR 2017: 34-48 - [c10]Siddhartha Chandra, Nicolas Usunier, Iasonas Kokkinos:
Dense and Low-Rank Gaussian CRFs Using Deep Embeddings. ICCV 2017: 5113-5122 - 2016
- [c9]Siddhartha Chandra, Iasonas Kokkinos:
Fast, Exact and Multi-scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs. ECCV (7) 2016: 402-418 - [c8]Riza Alp Güler, Nikolaos Kardaris, Siddhartha Chandra, Vassilis Pitsikalis, Christian Werner
Human Joint Angle Estimation and Gesture Recognition for Assistive Robotic Vision. ECCV Workshops (2) 2016: 415-431 - [i2]Siddhartha Chandra, Iasonas Kokkinos:
Fast, Exact and Multi-Scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs. CoRR abs/1603.08358 (2016) - [i1]Siddhartha Chandra, Iasonas Kokkinos:
Deep, Dense, and Low-Rank Gaussian Conditional Random Fields. CoRR abs/1611.09051 (2016) - 2015
- [c7]Siddhartha Chandra, Grigorios G. Chrysos, Iasonas Kokkinos:
Surface Based Object Detection in RGBD Images. BMVC 2015: 187.1-187.13 - [c6]Siddhartha Chandra, Stavros Tsogkas, Iasonas Kokkinos:
Accurate Human-Limb Segmentation in RGB-D Images for Intelligent Mobility Assistance Robots. ICCV Workshops 2015: 436-442 - 2013
- [c5]Siddhartha Chandra, Shailesh Kumar, C. V. Jawahar
Learning Multiple Non-linear Sub-spaces Using K-RBMs. CVPR 2013: 2778-2785 - 2012
- [c4]Siddhartha Chandra, Shailesh Kumar, C. V. Jawahar
Learning Hierarchical Bag of Words Using Naive Bayes Clustering. ACCV (1) 2012: 382-395 - [c3]Siddhartha Chandra, C. V. Jawahar:
Partial Least Squares kernel for computing similarities between video sequences. ICPR 2012: 513-516 - [c2]Vinay Garg, Siddhartha Chandra, C. V. Jawahar
Sparse discriminative Fisher vectors in visual classification. ICVGIP 2012: 55 - 2010
- [c1]Mayank Juneja, Siddhartha Chandra, Omkar M. Parkhi, C. V. Jawahar, Andrea Vedaldi, Marcin Marszalek, Andrew Zisserman:
Oxford-IIIT TRECVID 2010 - Notebook paper. TRECVID 2010
Coauthor Index
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