Batra, A.[Anish]
* 2017: Cardiotocography Analysis Using Conjunction of Machine Learning Algorithms
* 2019: Improved Road Connectivity by Joint Learning of Orientation and Segmentation
* 2019: Texture analysis for muscular dystrophy classification in MRI with improved class activation mapping
Includes: Batra, A.[Anish] Batra, A.[Anil] Batra, A.[Abhinandan]
Batra, D.
* 2007: Alternative Formulation for Five Point Relative Pose Problem, An
* 2008: Learning class-specific affinities for image labelling
* 2008: Semi-Supervised Clustering via Learnt Codeword Distances
* 2008: Space-Time Shapelets for Action Recognition
* 2009: Cutout-search: Putting a name to the picture
* 2009: Seed Image Selection in interactive cosegmentation
* 2010: Beyond trees: MRF inference via outer-planar decomposition
* 2010: iCoseg: Interactive co-segmentation with intelligent scribble guidance
* 2011: Inference for order reduction in Markov random fields
* 2011: Interactive Co-segmentation of Objects in Image Collections
* 2011: Interactively Co-segmentating Topically Related Images with Intelligent Scribble Guidance
* 2011: Making the right moves: Guiding alpha-expansion using local primal-dual gaps
* 2011: Scribble based interactive 3D reconstruction via scene co-segmentation
* 2012: Diverse M-Best Solutions in Markov Random Fields
* 2012: Learning the right model: Efficient max-margin learning in Laplacian CRFs
* 2012: MaxFlow Revisited: An Empirical Comparison of Maxflow Algorithms for Dense Vision Problems
* 2012: Multi-layer Composite Model for Human Pose Estimation, A
* 2013: Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems, A
* 2013: Discriminative Re-ranking of Diverse Segmentations
* 2013: Group Norm for Learning Structured SVMs with Unstructured Latent Variables
* 2014: Empirical Minimum Bayes Risk Prediction: How to Extract an Extra Few % Performance from Vision Models with Just Three More Parameters
* 2014: Multimodal Learning in Loosely-Organized Web Images
* 2014: Putting the User in the Loop for Image-Based Modeling
* 2015: Active learning for structured probabilistic models with histogram approximation
* 2015: Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems, A
* 2015: Guest Editors' Introduction: Special Section on Higher Order Graphical Models in Computer Vision
* 2015: Optimizing Expected Intersection-Over-Union with Candidate-Constrained CRFs
* 2015: VIP: Finding important people in images
* 2015: VQA: Visual Question Answering
* 2016: Joint Unsupervised Learning of Deep Representations and Image Clusters
* 2016: Object-Proposal Evaluation Protocol is Gameable
* 2016: Pose tracking by efficiently exploiting global features
* 2016: We are Humor Beings: Understanding and Predicting Visual Humor
* 2016: Yin and Yang: Balancing and Answering Binary Visual Questions
* 2017: Bidirectional Beam Search: Forward-Backward Inference in Neural Sequence Models for Fill-in-the-Blank Image Captioning
* 2017: Counting Everyday Objects in Everyday Scenes
* 2017: Empirical Minimum Bayes Risk Prediction
* 2017: Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
* 2017: Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions?
* 2017: Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning
* 2017: Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
* 2017: Resolving vision and language ambiguities together: Joint segmentation & prepositional attachment resolution in captioned scenes
* 2017: Visual Dialog
* 2017: VQA: Visual Question Answering
* 2018: Choose Your Neuron: Incorporating Domain Knowledge Through Neuron-Importance
* 2018: Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering
* 2018: Embodied Question Answering
* 2018: Embodied Question Answering
* 2018: Graph R-CNN for Scene Graph Generation
* 2018: Neural Baby Talk
* 2018: Visual Coreference Resolution in Visual Dialog Using Neural Module Networks
* 2019: Audio Visual Scene-Aware Dialog
* 2019: Embodied Amodal Recognition: Learning to Move to Perceive Objects
* 2019: Embodied Question Answering in Photorealistic Environments With Point Cloud Perception
* 2019: Habitat: A Platform for Embodied AI Research
* 2019: Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
* 2019: Multi-Target Embodied Question Answering
* 2019: nocaps: novel object captioning at scale
* 2019: Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning
* 2019: SplitNet: Sim2Sim and Task2Task Transfer for Embodied Visual Navigation
* 2019: Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded
* 2019: Towards VQA Models That Can Read
* 2019: Visual Dialog
* 2020: Beyond the Nav-Graph: Vision-and-Language Navigation in Continuous Environments
* 2020: Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
* 2020: Improving Vision-and-language Navigation with Image-text Pairs from the Web
* 2020: Large-scale Pretraining for Visual Dialog: A Simple State-of-the-art Baseline
* 2020: Seeing the Un-scene: Learning Amodal Semantic Maps for Room Navigation
* 2020: Spatially Aware Multimodal Transformers for TextVQA
* 2021: Auxiliary Tasks and Exploration Enable ObjectGoal Navigation
* 2021: Contrast and Classify: Training Robust VQA Models
* 2021: Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation, The
* 2021: THDA: Treasure Hunt Data Augmentation for Semantic Navigation
* 2021: Waypoint Models for Instruction-guided Navigation in Continuous Environments
* 2022: Ego4D: Around the World in 3,000 Hours of Egocentric Video
* 2022: Episodic Memory Question Answering
* 2022: Habitat-Web: Learning Embodied Object-Search Strategies from Human Demonstrations at Scale
* 2022: Housekeep: Tidying Virtual Households Using Commonsense Reasoning
* 2022: Is Mapping Necessary for Realistic PointGoal Navigation?
* 2023: Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-Per-Second
* 2023: Habitat-Matterport 3D Semantics Dataset
* 2023: Navigating to Objects Specified by Images
* 2023: PIRLNav: Pretraining with Imitation and RL Finetuning for OBJECTNAV
* 2023: Skill Transformer: A Monolithic Policy for Mobile Manipulation
Includes: Batra, D. Batra, D.[Dhruv]
84 for Batra, D.
Batra, P.[Pankaj]
* 1998: Effective algorithms for video transmission over wireless channels
* 2000: Modeling and Efficient Optimization for Object-Based Scalability and Some Related Problems
* 2003: Analysis of optimal dynamic rate shaping of Markov-1 sources
* 2004: Optimal Data Partitioning of MPEG-2 Coded Video
Includes: Batra, P.[Pankaj] Batra, P.
Batra, S.[Shalini]
* 2021: Probabilistic Data Structures-Based Anomaly Detection Scheme for Software-Defined Internet of Vehicles, A
Batra, T.[Tanmay]
* 2015: Learning Common Sense through Visual Abstraction
* 2019: Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation
Batrakhanov, D.[Daniel]
* 2021: Virtual sawing using generative adversarial networks
Batran, M.[Mohamed]
* 2018: Inferencing Human Spatiotemporal Mobility in Greater Maputo via Mobile Phone Big Data Mining
Batri, K.
* 2016: Automated detection of glioblastoma tumor in brain magnetic imaging using ANFIS classifier
* 2017: computer-aided approach for meningioma brain tumor detection using CANFIS classifier, A
* 2017: Detection and diagnosis of meningioma brain tumor using ANFIS classifier
Batrinca, L.
* 2016: Multimodal Personality Recognition in Collaborative Goal-Oriented Tasks
* 2016: SALSA: A Novel Dataset for Multimodal Group Behavior Analysis
Batrlova, I.[Iva]
* 2022: Crop Detection Using Time Series of Sentinel-2 and Sentinel-1 and Existing Land Parcel Information Systems
Batryn, J.
* 2011: Surface Reconstruction of Maltese Cisterns Using ROV Sonar Data for Archeological Study