90 citations · 194 across the 23 of their papers we have counts for
8 papers · 1 filter
Tartan: A retrieval-based socialbot powered by a dynamic finite-state machine architecture
George Larionov, Zachary Kaden, Hima Varsha Dureddy +5
This paper describes the Tartan conversational agent built for the 2018 Alexa Prize Competition. Tartan is a non-goal-oriented socialbot focused around providing users with an enga…
Learning Sound Events From Webly Labeled Data
Anurag Kumar, Ankit Shah, Bhiksha Raj +1
In the last couple of years, weakly labeled learning has turned out to be an exciting approach for audio event detection. In this work, we introduce webly labeled learning for soun…
Activity Recognition on a Large Scale in Short Videos - Moments in Time Dataset
Ankit Shah, Harini Kesavamoorthy, Poorva Rane +3
Moments capture a huge part of our lives. Accurate recognition of these moments is challenging due to the diverse and complex interpretation of the moments. Action recognition refe…
Natural Language Person Search Using Deep Reinforcement Learning
Ankit Shah, Tyler Vuong
Recent success in deep reinforcement learning is having an agent learn how to play Go and beat the world champion without any prior knowledge of the game. In that task, the agent h…
CADP: A Novel Dataset for CCTV Traffic Camera based Accident Analysis
Ankit Shah, Jean Baptiste Lamare, Tuan Nguyen Anh +1
This paper presents a novel dataset for traffic accidents analysis. Our goal is to resolve the lack of public data for research about automatic spatio-temporal annotations for traf…
Large-Scale Weakly Labeled Semi-Supervised Sound Event Detection in Domestic Environments
Romain Serizel, Nicolas Turpault, Hamid Eghbal-Zadeh +1
This paper presents DCASE 2018 task 4. The task evaluates systems for the large-scale detection of sound events using weakly labeled data (without time boundaries). The target of t…
A Closer Look at Weak Label Learning for Audio Events
Ankit Shah, Anurag Kumar, Alexander G. Hauptmann +1
Audio content analysis in terms of sound events is an important research problem for a variety of applications. Recently, the development of weak labeling approaches for audio or s…
NELS -- Never-Ending Learner of Sounds
Benjamin Elizalde, Rohan Badlani, Ankit Shah +2
Sounds are essential to how humans perceive and interact with the world and are captured in recordings and shared on the Internet on a minute-by-minute basis. These recordings, whi…