56 citations · 113 across the 7 of their papers we have counts for
7 papers
Distortion-aware Monocular Depth Estimation for Omnidirectional Images
Hong-Xiang Chen, Kunhong Li, Zhiheng Fu +3
A main challenge for tasks on panorama lies in the distortion of objects among images. In this work, we propose a Distortion-Aware Monocular Omnidirectional (DAMO) dense depth esti…
Learning Local Features with Context Aggregation for Visual Localization
Siyu Hong, Kunhong Li, Yongcong Zhang +3
Keypoint detection and description is fundamental yet important in many vision applications. Most existing methods use detect-then-describe or detect-and-describe strategy to learn…
Content-based Video Relevance Prediction Challenge: Data, Protocol, and Baseline
Mengyi Liu, Xiaohui Xie, Hanning Zhou
Video relevance prediction is one of the most important tasks for online streaming service. Given the relevance of videos and viewer feedbacks, the system can provide personalized…
Skipping Word: A Character-Sequential Representation based Framework for Question Answering
Lingxun Meng, Yan Li, Mengyi Liu +1
Recent works using artificial neural networks based on word distributed representation greatly boost the performance of various natural language learning tasks, especially question…
Self-paced Learning for Weakly Supervised Evidence Discovery in Multimedia Event Search
Mengyi Liu, Lu Jiang, Shiguang Shan +1
Multimedia event detection has been receiving increasing attention in recent years. Besides recognizing an event, the discovery of evidences (which is refered to as "recounting") i…
Learning Expressionlets via Universal Manifold Model for Dynamic Facial Expression Recognition
Mengyi Liu, Shiguang Shan, Ruiping Wang +1
Facial expression is temporally dynamic event which can be decomposed into a set of muscle motions occurring in different facial regions over various time intervals. For dynamic ex…
Learning Mid-level Words on Riemannian Manifold for Action Recognition
Mengyi Liu, Ruiping Wang, Shiguang Shan +1
Human action recognition remains a challenging task due to the various sources of video data and large intra-class variations. It thus becomes one of the key issues in recent resea…