CVPR (2019)

  • L3-Net: Towards Learning based LiDAR Localization for Autonomous Driving
  • ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features
  • Occlusion-Net: 2D/3D Occluded Keypoint Localization Using Graph Networks
  • Lending Orientation to Neural Networks for Cross-view Geo-localization
  • Gaussian Temporal Awareness Networks for Action Localization
  • Density Map Regression Guided Detection Network for RGB-D Crowd Counting and Localization
  • Completeness Modeling and Context Separation for Weakly Supervised Temporal Action Localization
  • Attention-Based Dropout Layer for Weakly Supervised Object Localization
  • Visual Localization by Learning Objects-Of-Interest Dense Match Regression
  • Few-Shot Learning with Localization in Realistic Settings
  • Language-Driven Temporal Activity Localization: A Semantic Matching Reinforcement Learning Model
  • From Coarse to Fine: Robust Hierarchical Localization at Large Scale
  • Recurrent Attentive Zooming for Joint Crowd Counting and Precise Localization
  • Mapping, Localization and Path Planning for Image-Based Navigation Using Visual Features and Map
  • Privacy Preserving Image-Based Localization

ECCV (2018)

  • ML-LocNet: Improving Object Localization with Multi-view Learning Network
  • CPlaNet: Enhancing Image Geolocalization by Combinatorial Partitioning of Maps
  • BusterNet: Detecting Copy-Move Image Forgery with Source/Target Localization
  • Quantized Densely Connected U-Nets for Efficient Landmark Localization
  • What do I Annotate Next? An Empirical Study of Active Learning for Action Localization
  • C-WSL: Count-guided Weakly Supervised Localization
  • AutoLoc: Weakly-supervised Temporal Action Localization in Untrimmed Videos
  • W-TALC: Weakly-supervised Temporal Activity Localization and Classification
  • Self-produced Guidance for Weakly-supervised Object Localization
  • Action Search: Spotting Actions in Videos and Its Application to Temporal Action Localization
  • Acquisition of Localization Confidence for Accurate Object Detection
  • Small-scale Pedestrian Detection Based on Topological Line Localization and Temporal Feature Aggregation
  • Semantic Match Consistency for Long-Term Visual Localization