Vasu, B.
* 2018: Aerial-CAM: Salient Structures and Textures in Network Class Activation Maps of Aerial Imagery
* 2018: Resilience and Self-Healing of Deep Convolutional Object Detectors
* 2020: Iterative and Adaptive Sampling with Spatial Attention for Black-Box Model Explanations
* 2022: X-MIR: EXplainable Medical Image Retrieval
Includes: Vasu, B. Vasu, B.[Bhavan]
Vasu, J.Z.
* 2015: MVEM-Based Fault Diagnosis of Automotive Engines Using Dempster-Shafer Theory and Multiple Hypotheses Testing
Vasu, L.[Logesh]
* 2010: Vehicle tracking using a human-vision-based model of visual similarity
Vasu, P.K.A.[Pavan Kumar Anasosalu]
* 2022: Forward Compatible Training for Large-Scale Embedding Retrieval Systems
* 2023: FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization
* 2023: MobileOne: An Improved One millisecond Mobile Backbone
Vasu, R.M.
* 1981: Image Deblurring with Computer Generated double Phase Holograms
* 2009: novel two sources ultrasound modulated optical tomographic system for screening breast cancer through elasticity characterization, A
* 2014: Diffraction tomography from intensity measurements: An evolutionary stochastic search to invert experimental data
* 2015: Ultrasound-modulated optical tomography: direct recovery of elasticity distribution from experimentally measured intensity autocorrelation
Includes: Vasu, R.M. Vasu, R.M.[Ram Mohan]
Vasu, S.[Subeesh]
* 2015: Tapping motion blur for robust normal estimation of planar scenes
* 2016: Deskewing by space-variant deblurring
* 2017: From Local to Global: Edge Profiles to Camera Motion in Blurred Images
* 2018: Analyzing Perception-Distortion Tradeoff Using Enhanced Perceptual Super-Resolution Network
* 2018: Camera Shutter-Independent Registration and Rectification
* 2018: Joint HDR and Super-Resolution Imaging in Motion Blur
* 2018: Non-blind Deblurring: Handling Kernel Uncertainty with CNNs
* 2018: Occlusion-Aware Rolling Shutter Rectification of 3D Scenes
* 2018: PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report
* 2020: TopoAL: An Adversarial Learning Approach for Topology-aware Road Segmentation
Includes: Vasu, S.[Subeesh] Vasu, S.
10 for Vasu, S.
Vasudev, B.
* 1995: fast approximate algorithm for scaling down digital images in the DCT domain, A
* 1995: Very low bit-rate video coding with DFD segmentation
* 1996: Effects of Noise Pre-Filtering for Codebook Generation in Vector Quantization
* 1996: Fast Inverse Motion Compensation Algorithms for MPEG and for Partial DCT Information
* 1997: Adaptive Motion-Vector Resampling for Compressed Video Downscaling
* 1997: Fast Algorithms for DCT-Domain Image Down-Sampling and for Inverse Motion Compensation
* 1999: Adaptive Motion-Vector Resampling for Compressed Video Downscaling
* 1999: low-complexity error-resilient H.263 coder, A
* 1999: Multiplication-Free Approximate Algorithm for the Inverse Discrete Cosine Transform, A
* 2000: Fast dihedral symmetry operations on digital images in the compressed domain
* 2005: Spatiotemporal Sequence Matching for Efficient Video Copy Detection
Includes: Vasudev, B. Vasudev, B.[Bhaskaran]
11 for Vasudev, B.
Vasudev, T.
* 2007: Transformation of arc-form-text to linear-form-text suitable for OCR
Vasudeva, B.[Bhavya]
* 2020: Structure Preserving Compressive Sensing MRI Reconstruction using Generative Adversarial Networks
* 2021: LoOp: Looking for Optimal Hard Negative Embeddings for Deep Metric Learning
* 2022: Compressed Sensing MRI Reconstruction with Co-VeGAN: Complex-Valued Generative Adversarial Network
Vasudevan, A.
* 2020: Introduction and Analysis of an Event-Based Sign Language Dataset
Vasudevan, A.B.
* 2013: Dynamic Scene Classification Using Spatial and Temporal Cues
* 2018: Object Referring in Videos with Language and Human Gaze
* 2018: Object Referring in Visual Scene with Spoken Language
* 2020: Semantic Object Prediction and Spatial Sound Super-resolution with Binaural Sounds
* 2021: Talk2Nav: Long-Range Vision-and-Language Navigation with Dual Attention and Spatial Memory
* 2022: Sound and Visual Representation Learning with Multiple Pretraining Tasks
* 2023: Binaural SoundNet: Predicting Semantics, Depth and Motion With Binaural Sounds
Includes: Vasudevan, A.B. Vasudevan, A.B.[Arun Balajee]
7 for Vasudevan, A.B.
Vasudevan, K.
* 2007: Turbo equalization of serially concatenated turbo codes using a predictive DFE-based receiver
* 2012: Iterative detection of turbo-coded offset QPSK in the presence of frequency and clock offsets and AWGN
Vasudevan, R.[Ram]
* 2010: Distributed Topological Camera Network Representation for Tracking Applications, A
* 2010: Local Occlusion Detection under Deformations Using Topological Invariants
* 2011: High-Quality Visualization for Geographically Distributed 3-D Teleimmersive Applications
* 2011: Robust topological features for deformation invariant image matching
* 2014: Semiautonomous Vehicular Control Using Driver Modeling
* 2018: Modeling Camera Effects to Improve Visual Learning from Synthetic Data
* 2020: Learning Rotation-Invariant Representations of Point Clouds Using Aligned Edge Convolutional Neural Networks
* 2023: Hyperspherical Embedding for Point Cloud Completion
Includes: Vasudevan, R.[Ram] Vasudevan, R.
8 for Vasudevan, R.
Vasudevan, S.
* 1988: Heuristics for Intermediate-Level Road Finding Algorithms
* 2008: Tale of Two Object Recognition Methods for Mobile Robots, A
Includes: Vasudevan, S. Vasudevan, S.[Shrihari]
Vasudevan, V.[Vijay]
* 2018: Learning Transferable Architectures for Scalable Image Recognition
* 2019: AutoAugment: Learning Augmentation Strategies From Data
* 2019: MnasNet: Platform-Aware Neural Architecture Search for Mobile
* 2019: Searching for MobileNetV3
* 2020: Improving 3D Object Detection Through Progressive Population Based Augmentation
* 2020: Scalability in Perception for Autonomous Driving: Waymo Open Dataset
* 2020: Streaming Object Detection for 3-d Point Clouds
* 2021: deep genetic algorithm for human activity recognition leveraging fog computing frameworks, A
* 2021: Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset
* 2021: To the Point: Efficient 3D Object Detection in the Range Image with Graph Convolution Kernels
* 2021: Toward Improving Confidence in Autonomous Vehicle Software: A Study on Traffic Sign Recognition Systems
* 2023: Image classification using graph neural network and multiscale wavelet superpixels
Includes: Vasudevan, V.[Vijay] Vasudevan, V. Vasudevan, V.[Vinod] Vasudevan, V.[Varun]
12 for Vasudevan, V.
Vasudevan, V.V.
* 2001: Color and texture descriptors
* 2002: Creating a slide presentation from full motion video
Includes: Vasudevan, V.V. Vasudevan, V.V.[Vinod V.]
Vasuki, A.
* 2012: Image Super Resolution using Fourier-Wavelet transform
* 2013: image retrieval technique based on texture features using semantic properties, An
Vasuki, P.
* 2012: Automatic noise identification in images using moments and neural network
Vasuki, S.
* 2009: Efficient Approach To Color Image Segmentation Using Intermediate Features Of Maximum Overlap Wavelet Transform In Peak Finding Algorithm, An
Vasundhara
* 2018: new evolving-update-based feedback cancellation scheme for hearing aids, A
Vasung, L.
* 2021: Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI, A