Segvic, S.[Sinisa]
Co Author Listing * baseline for semi-supervised learning of efficient semantic segmentation models, A
* Convolutional Scale Invariance for Semantic Segmentation
* Dense open-set recognition based on training with noisy negative images
* DenseHybrid: Hybrid Anomaly Detection for Dense Open-Set Recognition
* Efficient Ladder-Style DenseNets for Semantic Segmentation of Large Images
* Efficient semantic segmentation with pyramidal fusion
* Enhancing the Point Feature Tracker by Adaptive Modelling of the Feature Support
* Experimental Evaluation of Autonomous Driving Based on Visual Memory and Image-Based Visual Servoing
* Exploiting temporal and spatial constraints in traffic sign detection from a moving vehicle
* Fast and globally convergent Structure and Motion estimation for General Camera Models
* Fast Approximate GMM Soft-Assign for Fine-Grained Image Classification with Large Fisher Vectors
* Framework for Scalable Vision-Only Navigation, A
* Generative modeling of spatio-temporal traffic sign trajectories
* Histogram-Based Description of Local Space-Time Appearance
* In Defense of Pre-Trained ImageNet Architectures for Real-Time Semantic Segmentation of Road-Driving Images
* Influence of numerical conditioning on the accuracy of relative orientation
* Ladder-Style DenseNets for Semantic Segmentation of Large Natural Images
* Large scale vision-based navigation without an accurate global reconstruction
* mapping and localization framework for scalable appearance-based navigation, A
* Multi-domain semantic segmentation with overlapping labels *
* Multimodal Semantic Forecasting Based on Conditional Generation of Future Features
* Normalizing Flow based Feature Synthesis for Outlier-Aware Object Detection
* On Advantages of Mask-level Recognition for Outlier-aware Segmentation
* Online/Realtime Structure and Motion for General Camera Models
* Panoptic SwiftNet: Pyramidal Fusion for Real-Time Panoptic Segmentation
* Patch-Level Spatial Layout for Classification and Weakly Supervised Localization
* Simultaneous Semantic Segmentation and Outlier Detection in Presence of Domain Shift
* Single Level Feature-to-Feature Forecasting with Deformable Convolutions
* Software Architecture for Distributed Visual Tracking in a Global Vision Localization System, A
* Sparse weakly supervised models for object localization in road environment
* Towards Space-Time Semantics in Two Frames
* Traffic Scene Classification on a Representation Budget
* Warp to the Future: Joint Forecasting of Features and Feature Motion
* Weakly-Supervised Semantic Segmentation by Redistributing Region Scores Back to the Pixels
Includes: Segvic, S.[Sinisa] Šegvic, S.[Siniša] Segvic, S. Šegvic, S.
34 for Segvic, S.