27 citations · 37 across the 4 of their papers we have counts for
4 papers · 1 filter
DMCL: Distillation Multiple Choice Learning for Multimodal Action Recognition
Nuno C. Garcia, Sarah Adel Bargal, Vitaly Ablavsky +3
In this work, we address the problem of learning an ensemble of specialist networks using multimodal data, while considering the realistic and challenging scenario of possible miss…
Siamese Natural Language Tracker: Tracking by Natural Language Descriptions with Siamese Trackers
Qi Feng, Vitaly Ablavsky, Qinxun Bai +1
We propose a novel Siamese Natural Language Tracker (SNLT), which brings the advancements in visual tracking to the tracking by natural language (NL) descriptions task. The propose…
Learning to Separate: Detecting Heavily-Occluded Objects in Urban Scenes
Chenhongyi Yang, Vitaly Ablavsky, Kaihong Wang +2
While visual object detection with deep learning has received much attention in the past decade, cases when heavy intra-class occlusions occur have not been studied thoroughly. In…
Real-time Visual Object Tracking with Natural Language Description
Qi Feng, Vitaly Ablavsky, Qinxun Bai +2
In recent years, deep-learning-based visual object trackers have been studied thoroughly, but handling occlusions and/or rapid motion of the target remains challenging. In this wor…