Bilecen, B.B.[Bahri Batuhan]
* 2022: Efficient and Accurate Quantized Image Super-Resolution on Mobile Npus, Mobile Ai & Aim 2022 Challenge: Report
* 2022: Efficient Multi-Purpose Cross-Attention Based Image Alignment Block for Edge Devices
* 2022: XCAT - Lightweight Quantized Single Image Super-resolution Using Heterogeneous Group Convolutions and Cross Concatenation
* 2023: Bicubic++: Slim, Slimmer, Slimmest Designing an Industry-Grade Super-Resolution Network
* 2023: Diverse Inpainting and Editing with GAN Inversion
* 2023: Efficient Deep Models for Real-Time 4K Image Super-Resolution. NTIRE 2023 Benchmark and Report
Bilek, L.[Lukas]
* 2019: Integrated GIS and Remote Sensing Approach for Monitoring Harvested Areas from Very High-Resolution, Low-Cost Satellite Images, An
Includes: Bilek, L.[Lukas] Bílek, L.[Lukáš]
Bilello, M.
* 2012: GLISTR: Glioma Image Segmentation and Registration
* 2014: Comparative Evaluation of Registration Algorithms in Different Brain Databases With Varying Difficulty: Results and Insights
* 2014: PORTR: Pre-Operative and Post-Recurrence Brain Tumor Registration
Bilen, C.
* 2006: Multi-View Video Codec Based on H.264, A
* 2007: End-to-end stereoscopic video streaming with content-adaptive rate and format control
* 2007: Error Resilient Layered Stereoscopic Video Streaming
* 2016: Supervised learning of low-rank transforms for image retrieval
Includes: Bilen, C. Bilen, C.[Cagdas] Bilen, Ç.
Bilen, H.[Hakan]
* 2011: Action recognition: A region based approach
* 2011: Object and Action Classification with Latent Variables
* 2012: Classification with Global, Local and Shared Features
* 2012: Developing robust vision modules for microsystems applications
* 2014: Object and Action Classification with Latent Window Parameters
* 2014: Object Classification with Adaptable Regions
* 2014: Weakly Supervised Detection with Posterior Regularization
* 2015: Weakly supervised object detection with convex clustering
* 2016: Dynamic Image Networks for Action Recognition
* 2016: Weakly Supervised Deep Detection Networks
* 2017: Self-Supervised Video Representation Learning with Odd-One-Out Networks
* 2017: Unsupervised Learning of Object Landmarks by Factorized Spatial Embeddings
* 2018: Action Recognition with Dynamic Image Networks
* 2018: Efficient Parametrization of Multi-domain Deep Neural Networks
* 2019: Image Deconvolution with Deep Image and Kernel Priors
* 2019: Personalised Aesthetics with Residual Adapters
* 2019: Unsupervised Learning of Landmarks by Descriptor Vector Exchange
* 2020: Self-Supervised Learning of Interpretable Keypoints From Unlabelled Videos
* 2020: Unsupervised Batch Normalization
* 2020: Weakly Supervised Gaussian Networks for Action Detection
* 2021: Continual Representation Learning for Biometric Identification
* 2021: Universal Representation Learning from Multiple Domains for Few-shot Classification
* 2021: ViewNet: Unsupervised Viewpoint Estimation from Conditional Generation
* 2022: 3D Equivariant Graph Implicit Functions
* 2022: CAFE: Learning to Condense Dataset by Aligning Features
* 2022: Cross-domain Few-shot Learning with Task-specific Adapters
* 2022: Learning Foreground-Background Segmentation from Improved Layered GANs
* 2022: Learning Multiple Dense Prediction Tasks from Partially Annotated Data
* 2022: Learning to Predict Keypoints and Structure of Articulated Objects without Supervision
* 2022: Not All Relations are Equal: Mining Informative Labels for Scene Graph Generation
* 2023: Accelerating Self-Supervised Learning via Efficient Training Strategies
* 2023: Dataset Condensation with Distribution Matching
* 2023: Learning Action Changes by Measuring Verb-Adverb Textual Relationships
* 2023: RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation
* 2023: Who are you referring to? Coreference resolution in image narrations
Includes: Bilen, H.[Hakan] Bilen, H.
35 for Bilen, H.
Bilen, M.N.[Mehmet Nail]
* 2023: Hybrid-Patch-Alex: A new patch division and deep feature extraction-based image classification model to detect COVID-19, heart failure, and other lung conditions using medical images
Bilenca, A.[Alberto]
* 2007: Speckle reduction in optical coherence tomography images using digital filtering
Bileschi, S.[Stanley]
* 2008: Object detection at multiple scales improves accuracy
* 2009: Fully automatic calibration of LIDAR and video streams from a vehicle
Bileschi, S.M.
* 2003: Advances in component based face detection
* 2005: Combining Variable Selection with Dimensionality Reduction
* 2005: Combining Variable Selection with Dimensionality Reduction
* 2005: Object Recognition with Features Inspired by Visual Cortex
* 2005: Unified System For Object Detection, Texture Recognition, and Context Analysis Based on the Standard Model Feature Set, A
* 2006: Critical View of Context, A
* 2006: Perception Strategies in Hierarchical Vision Systems
* 2006: StreetScenes: Towards Scene Understanding in Still Images
* 2007: CBCL StreetScenes Challenge Framework
* 2007: Image representations beyond histograms of gradients: The role of Gestalt descriptors
* 2007: Robust Object Recognition with Cortex-Like Mechanisms
* 2008: Multi-Scale Generalization of the HoG and HMAX Image Descriptors for Object Detection, A
Includes: Bileschi, S.M. Bileschi, S.M.[Stan M.] Bileschi, S.M.[Stanley M.]
12 for Bileschi, S.M.
Bilezikian, J.P.[John P.]
* 2016: In vivo precision of digital topological skeletonization based individual trabecula segmentation (ITS) analysis of trabecular microstructure at the distal radius and tibia by HR-pQCT