• DeCAF

  • Referenced in 28 articles [sw17856]
  • evaluate whether features extracted from the activation of a deep convolutional network trained ... state-of-the-art on several important vision challenges. We are releasing DeCAF, an open ... deep convolutional activation features, along with all associated network parameters to enable vision researchers...
  • VizWear

  • Referenced in 2 articles [sw01001]
  • wearable systems enable us to run different vision tasks in real-time. We describe ... method of face registration using wearable active vision...
  • NeNMF

  • Referenced in 34 articles [sw17586]
  • been widely applied to signal processing, computer vision, and data mining. Traditional NMF solvers include ... projected nonnegative least squares (PNLS), and the active set method (AS). However, they suffer from...
  • CAVIAR

  • Referenced in 4 articles [sw36677]
  • CAVIAR: Context Aware Vision using Image-based Active Recognition...
  • DeepFlow

  • Referenced in 11 articles [sw31217]
  • many computer vision systems designed for tasks such as action detection or activity recognition. However...
  • MonoSLAM

  • Referenced in 41 articles [sw18884]
  • methodology from mobile robotics to the ”pure vision” domain of a single uncontrolled camera, achieving ... framework. Our key novel contributions include an active approach to mapping and measurement...
  • GELUs

  • Referenced in 5 articles [sw36443]
  • activations and find performance improvements across all considered computer vision, natural language processing, and speech...
  • DeepFix

  • Referenced in 2 articles [sw25895]
  • active area of research in the fields of neuroscience and computer vision. In this work...
  • ActivityNet

  • Referenced in 2 articles [sw40783]
  • Activity Understanding. In spite of many dataset efforts for human action recognition, current computer vision ... large-scale video benchmark for human activity understanding. Our benchmark aims at covering a wide...
  • NeuroSLAM

  • Referenced in 2 articles [sw31226]
  • multilayered head direction cells, integrated with a vision system that provides external visual cues ... self-motion cues. NeuroSLAM’s neural network activity drives the creation of a multilayered graphical...
  • MBC Toolbox

  • Referenced in 1 article [sw32112]
  • simulation activities. Calibration tables can be exported to ETAS INCA and ATI Vision...
  • VoxCeleb

  • Referenced in 2 articles [sw38554]
  • fully automated pipeline based on computer vision techniques to create the dataset from open-source ... pipeline involves obtaining videos from YouTube; performing active speaker verification using a two-stream synchronization...
  • unfold

  • Referenced in 1 article [sw39562]
  • each other. In addition, the recorded neural activity is typically modulated by numerous covariates, which ... combined electroencephalogram (EEG)/eye-tracking experiments during natural vision, fast multisensory stimulation experiments, and mobile brain/body ... often contain a hidden mix of overlapping activity (e.g., from stimulus onsets, involuntary microsaccades...
  • USAC

  • Referenced in 6 articles [sw42888]
  • computational problem that arises frequently in computer vision is that of estimating the parameters ... Recent years have seen an explosion of activity in this area, leading to the development...
  • Drop-Activation

  • Referenced in 1 article [sw41511]
  • classification task. Furthermore, as a regularizer drop-activation can be used in harmony with standard ... Proceedings of the IEEE conference on computer vision and pattern recognition, CVPR 2019. Long Beach...
  • Picture

  • Referenced in 1 article [sw26705]
  • that allows researchers to express complex generative vision models, while automatically solving them using fast ... abstract features (e.g., contours, deep neural network activations). Inference can flexibly integrate advanced Monte Carlo ... discriminatively trained systems to make generative vision more robust and efficient. We use Picture...
  • ApolloScape

  • Referenced in 6 articles [sw36630]
  • such as joint 3D-2D segment labeling, active labelling in videos etc. Depend on ApolloScape ... task learning in the field of computer vision...
  • FINN-R

  • Referenced in 1 article [sw25906]
  • successful machine learning algorithm, enabling ubiquitous machine vision and intelligent decisions on even embedded computing ... leveraging reduced-precision representations for inputs, activations and model parameters. The resulting scalability in performance...
  • Vote3Deep

  • Referenced in 2 articles [sw41378]
  • penalty on the filter activations to further encourage sparsity in the intermediate representations ... both laser and laser-vision based approaches by margins of up to 40% while remaining...
  • Februus

  • Referenced in 1 article [sw41289]
  • time. In Trojan attacks, an adversary activates a backdoor crafted in a deep neural network ... four popular datasets across three contrasting vision applications and trigger types demonstrate the high efficacy...