115 citations · 557 across the 15 of their papers we have counts for
6 papers · 1 filter
Knowledge Concentration: Learning 100K Object Classifiers in a Single CNN
Jiyang Gao, Zijian, Guo +2
Fine-grained image labels are desirable for many computer vision applications, such as visual search or mobile AI assistant. These applications rely on image classification models…
Spatio-Temporal Action Detection with Cascade Proposal and Location Anticipation
Zhenheng Yang, Jiyang Gao, Ram Nevatia
In this work, we address the problem of spatio-temporal action detection in temporally untrimmed videos. It is an important and challenging task as finding accurate human actions i…
RED: Reinforced Encoder-Decoder Networks for Action Anticipation
Jiyang Gao, Zhenheng Yang, Ram Nevatia
Action anticipation aims to detect an action before it happens. Many real world applications in robotics and surveillance are related to this predictive capability. Current methods…
Cascaded Boundary Regression for Temporal Action Detection
Jiyang Gao, Zhenheng Yang, Ram Nevatia
Temporal action detection in long videos is an important problem. State-of-the-art methods address this problem by applying action classifiers on sliding windows. Although sliding…
TALL: Temporal Activity Localization via Language Query
Jiyang Gao, Chen Sun, Zhenheng Yang +1
This paper focuses on temporal localization of actions in untrimmed videos. Existing methods typically train classifiers for a pre-defined list of actions and apply them in a slidi…
TURN TAP: Temporal Unit Regression Network for Temporal Action Proposals
Jiyang Gao, Zhenheng Yang, Chen Sun +2
Temporal Action Proposal (TAP) generation is an important problem, as fast and accurate extraction of semantically important (e.g. human actions) segments from untrimmed videos is…