Oxford-IIIT TRECVID 2010 - Notebook paper. - Mayank Juneja; Siddhartha Chandra; Omkar M. Parkhi; C. V. Jawahar; Andrea Vedaldi; Marcin Marszalek; Andrew Zisserman (TRECVID, 2010)

Learning Hierarchical Bag of Words Using Naive Bayes Clustering. - Siddhartha Chandra; Shailesh Kumar; C. V. Jawahar (ACCV (1), 2012)

Partial Least Squares kernel for computing similarities between video sequences. - Siddhartha Chandra; C. V. Jawahar (ICPR, 2012)

Sparse discriminative Fisher vectors in visual classification. - Vinay Garg; Siddhartha Chandra; C. V. Jawahar (ICVGIP, 2012)

Learning Multiple Non-linear Sub-spaces Using K-RBMs. - Siddhartha Chandra; Shailesh Kumar; C. V. Jawahar (CVPR, 2013)

Surface Based Object Detection in RGBD Images. - Siddhartha Chandra; Grigorios G. Chrysos; Iasonas Kokkinos (BMVC, 2015)

Accurate Human-Limb Segmentation in RGB-D Images for Intelligent Mobility Assistance Robots. - Siddhartha Chandra; Stavros Tsogkas; Iasonas Kokkinos (ICCV Workshops, 2015)

Fast, Exact and Multi-scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs. - Siddhartha Chandra; Iasonas Kokkinos (ECCV (7), 2016)

Human Joint Angle Estimation and Gesture Recognition for Assistive Robotic Vision. - Riza Alp Güler; Nikolaos Kardaris; Siddhartha Chandra; Vassilis Pitsikalis; Christian Werner; Klaus Hauer; Costas S. Tzafestas; Petros Maragos; Iasonas Kokkinos (ECCV Workshops (2), 2016)

Deep, Dense, and Low-Rank Gaussian Conditional Random Fields. - Siddhartha Chandra; Iasonas Kokkinos (CoRR, 2016)

Structured Output Prediction and Learning for Deep Monocular 3D Human Pose Estimation. - Stefan Kinauer; Riza Alp Güler; Siddhartha Chandra; Iasonas Kokkinos (EMMCVPR, 2017)

Dense and Low-Rank Gaussian CRFs Using Deep Embeddings. - Siddhartha Chandra; Nicolas Usunier; Iasonas Kokkinos (ICCV, 2017)

Deep Spatio-Temporal Random Fields for Efficient Video Segmentation. - Siddhartha Chandra; Camille Couprie; Iasonas Kokkinos (CVPR, 2018)

Context Aware 3D CNNs for Brain Tumor Segmentation. - Siddhartha Chandra; Maria Vakalopoulou; Lucas Fidon; Enzo Battistella; Théo Estienne; Roger Sun; Charlotte Robert; Eric Deutsch; Nikos Paragios (BrainLes@MICCAI (2), 2018)

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge. - Spyridon Bakas; Mauricio Reyes 001; András Jakab; Stefan Bauer; Markus Rempfler; Alessandro Crimi; Russell Takeshi Shinohara; Christoph Berger; Sung Min Ha; Martin Rozycki; Marcel Prastawa; Esther Alberts; et al. (CoRR, 2018)

Learning to Generate Synthetic Data via Compositing. - Shashank Tripathi; Siddhartha Chandra; Amit Agrawal 002; Ambrish Tyagi; James M. Rehg; Visesh Chari (CVPR, 2019)

Proof of Correctness and Time Complexity Analysis of a Maximum Distance Transform Algorithm. - Mihir Sahasrabudhe; Siddhartha Chandra (CoRR, 2019)

Box2Seg: Attention Weighted Loss and Discriminative Feature Learning for Weakly Supervised Segmentation. - Viveka Kulharia; Siddhartha Chandra; Amit Agrawal 002; Philip H. S. Torr; Ambrish Tyagi (ECCV (27), 2020)

Deep Learning-Based Concurrent Brain Registration and Tumor Segmentation. - 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; et al. (Frontiers Comput. Neurosci., 2020)

Sequential Ensembling for Semantic Segmentation. - Rawal Khirodkar; Brandon M. Smith 001; Siddhartha Chandra; Amit Agrawal 002; Antonio Criminisi (CoRR, 2022)

Smartphone camera based assessment of adiposity: a validation study. - Maulik D. Majmudar; Siddhartha Chandra; Kiran Yakkala; Samantha Kennedy; Amit Agrawal 002; Mark Sippel; Prakash Ramu; Apoorv Chaudhri; Brooke Smith; Antonio Criminisi; Steven B. Heymsfield; Fatima Cody Stanford (npj Digit. Medicine, 2022)