Girdhar, A.[Ashish]
* 2018: Comprehensive survey of 3D image steganography techniques
* 2018: Comprehensive survey of 3D image steganography techniques
* 2019: Review of Enhancement and Segmentation Techniques for Digital Images, A
* 2023: Performance analysis of various denoising filters on intravascular ultrasound coronary artery images
Includes: Girdhar, A.[Ashish] Girdhar, A.[Akshay]
Girdhar, R.[Rohit]
* 2014: Optimizing Storage Intensive Vision Applications to Device Capacity
* 2016: Cutting through the clutter: Task-relevant features for image matching
* 2016: Learning a Predictable and Generative Vector Representation for Objects
* 2017: ActionVLAD: Learning Spatio-Temporal Aggregation for Action Classification
* 2017: Binge Watching: Scaling Affordance Learning from Sitcoms
* 2018: Detect-and-Track: Efficient Pose Estimation in Videos
* 2019: Are we Asking the Right Questions in MovieQA?
* 2019: DistInit: Learning Video Representations Without a Single Labeled Video
* 2019: Video Action Transformer Network
* 2021: 3D Spatial Recognition without Spatially Labeled 3D
* 2021: Anticipative Video Transformer
* 2021: End-to-End Transformer Model for 3D Object Detection, An
* 2021: Self-Supervised Pretraining of 3D Features on any Point-Cloud
* 2022: Detecting Twenty-Thousand Classes Using Image-Level Supervision
* 2022: Ego4D: Around the World in 3,000 Hours of Egocentric Video
* 2022: Masked-attention Mask Transformer for Universal Image Segmentation
* 2022: Omnivore: A Single Model for Many Visual Modalities
* 2023: Cut and Learn for Unsupervised Object Detection and Instance Segmentation
* 2023: effectiveness of MAE pre-pretraining for billion-scale pretraining, The
* 2023: HierVL: Learning Hierarchical Video-Language Embeddings
* 2023: ImageBind One Embedding Space to Bind Them All
* 2023: Learning Video Representations from Large Language Models
* 2023: OmniMAE: Single Model Masked Pretraining on Images and Videos
Includes: Girdhar, R.[Rohit] Girdhar, R.
23 for Girdhar, R.
Girdhar, Y.[Yogesh]
* 2009: Optimal Online Data Sampling or How to Hire the Best Secretaries
* 2011: Online Visual Vocabularies
* 2013: Wide-Speed Autopilot System for a Swimming Hexapod Robot
* 2014: Exploring Underwater Environments with Curiosity
* 2016: Learning deep-sea substrate types with visual topic models
* 2016: Subsea Fauna Enumeration Using Vision-Based Marine Robots
* 2021: Seeing Through your Skin: Recognizing Objects with a Novel Visuotactile Sensor
* 2023: Semi-supervised Visual Tracking of Marine Animals Using Autonomous Underwater Vehicles
Includes: Girdhar, Y.[Yogesh] Girdhar, Y.
8 for Girdhar, Y.
Girdzijauskas, S.[Sarunas]
* 2022: Pedestrian trajectory prediction with convolutional neural networks
Girdziusas, R.[Ramunas]
* 2001: Rejection methods for an adaptive committee classifier
* 2002: Class-confidence critic combining
* 2003: Methods for adaptive combination of classifiers with application to recognition of handwritten characters
* 2005: Optimal Ratio of Lamé Moduli with Application to Motion of Jupiter Storms
* 2007: How Marginal Likelihood Inference Unifies Entropy, Correlation and SNR-Based Stopping in Nonlinear Diffusion Scale-Spaces
* 2007: When is a Discrete Diffusion a Scale-Space?
Includes: Girdziusas, R.[Ramunas] Girdziusas, R. Girdziušas, R.[Ramunas]