Search Results for author:
Found 9 papers, 1 papers with code
Distortion-aware Monocular Depth Estimation for Omnidirectional Images
A main challenge for tasks on panorama lies in the distortion of objects among images.
Learning Local Features with Context Aggregation for Visual Localization
Most existing methods use detect-then-describe or detect-and-describe strategy to learn local features without considering their context information.
Content-based Video Relevance Prediction Challenge: Data, Protocol, and Baseline
Video relevance prediction is one of the most important tasks for online streaming service.
Image-Image Search for Comparable Corpora Construction
We present a novel method of comparable corpora construction.
Skipping Word: A Character-Sequential Representation based Framework for Question Answering
Recent works using artificial neural networks based on word distributed representation greatly boost the performance of various natural language learning tasks, especially question answering.
Self-paced Learning for Weakly Supervised Evidence Discovery in Multimedia Event Search
Multimedia event detection has been receiving increasing attention in recent years.
Learning Mid-level Words on Riemannian Manifold for Action Recognition
Human action recognition remains a challenging task due to the various sources of video data and large intra-class variations.
Learning Expressionlets via Universal Manifold Model for Dynamic Facial Expression Recognition
3) the local modes on each STM can be instantiated by fitting to UMM, and the corresponding expressionlet is constructed by modeling the variations in each local mode.
Dynamic Facial Expression Recognition
Facial Expression Recognition
+1
Learning Expressionlets on Spatio-Temporal Manifold for Dynamic Facial Expression Recognition
In this paper, we attempt to solve both problems via manifold modeling of videos based on a novel mid-level representation, i. e. expressionlet.
Dynamic Facial Expression Recognition
Facial Expression Recognition
+1
